There has been a significant amount of AI engineering ecosystem that has popped up in the last few years which is helping to expedite the progress in this area. Tools, frameworks, and open source libraries are making boilerplate implementation ready for use by the engineering communities. The trends are so prominent that we are seeing large-scale organizations like Google, Microsoft, and Facebook open sourcing their AI tools and framework to help the engineering community build AI-based solutions. More often than not we see that most of these tools and frameworks are in Python. The use of Python for AI has become dominant in all aspects of AI engineering work like – ML, Data Engineering, Data Science, Model Development, and Deployment as well. 

This begs the question, what is AI, and why the AI Engineering community is looking at Python as a language of choice for AI-based solutions? In the subsequent sections, let us start with building a comprehensive understanding of the Artificial Intelligence domain first, some Python-based tools that are being used, and then understand the key reasons and advantages of using Python for AI.

The AI Landscape and Benefits of using Python for AI

A Brief Journey of Artificial Intelligence (AI)

Artificial Intelligence in general, means the process of making machines mimic human behavior. Founded roughly around 1956, the idea behind Artificial Intelligence was to make machines do things that are considered to be unique human capabilities, like intelligence or intuition. In the early days, the research was mostly around board games or logic experiments. 

In the early days, in some of the cases of rule-based or expert systems, Artificial Intelligence was considered to be a glorified if-else program. This means a lot of domain knowledge of the problem was coded into the system with the help of experts from that area. Checking all possible options and then optimizing the final output. On the basis of the most plausible answer was how AI was used in the initial days.

Machine Learning: The Beginning of an Era

As the research around AI progresses, we saw the dawn of a new class of the Artificial Intelligence subdomain which we affectionately called Machine Learning. The idea was to use statistical models to learn from the data of past observations to build a model which should help explain and predict future observations. The idea of using classifiers, clustering algorithms, and other statistical techniques to make sense of the data started to take shape in academics and industry. 

Python for AI – Tools for Machine Learning 

Machine Learning which uses statistical modelling and needs to train the models with a substantial amount of data generally works with Python and R Frameworks. R is an open-source language and framework for statistical workloads. However, it is majorly preferred by the academic community, and also the library support is still catching up. Python by far is the most dominant language in this space.

The open-source community in the machine learning and statistical modelling scape is very active. Tools like NumPy, Scikit-learn, Pandas, etc. are dominantly used by engineers and scientists alike. The growing community of engineers also adds to the support that a new engineer will get while venturing into this area. 

Deep Learning: Getting Closer to Humanization of ML

Deep Learning is a subset of ML. It loosely represents the way the neurons work in our brain. The neurons are structured in layers of repetitive structures. Thus, when presented with enough data they try to learn from the data with the use of mathematical optimization techniques like gradient descent and backpropagation. 

The current state of massive availability of data and frameworks makes the training of neural networks fairly easy. It has become the tool of choice in many application areas like image processing, text processing, and trading etc.

Python for AI – Tools for Deep Learning

The Deep Learning space in the last decade has seen a massive explosion of tools pouring in from major technology giants like Google, Facebook, and Microsoft. All frameworks almost invariably support Python as the de facto language of choice for training and many for inference as well. Some of the popular frameworks also support other languages too.

Frameworks like Tensorflow, Pytorch, and MXNet are very popular frameworks used for Deep Learning engineering and experimentations. Purposely, it is maintained beginner-friendly. It also works pretty well with other frameworks for Data Processing, Engineering, and Visualization. Deep Learning engineering in general is a very repetitive and experimentation-heavy engineering process. Therefore, it needs to have a language that is flexible and is very expressive in nature. 

Data Engineering: Working with the New Oil

In the age of AI, data is the new oil and data engineering is its refining process. Artificial Intelligence has a huge dependency on data and not just any data but pretty good quality data. However, it is believed that a quality model can be build with Deep Learning. It will always depend on the type of data that we feed into the training of one. So this gives rise to another set of parallel engineering domains called Data Engineering and Data Sciences.

Data Engineering comprises data collection, data processing, data cleaning, governance, analysis, reporting, and also visualization. It deals with building tools and frameworks in place to make the whole workflow seamless and usable for various modeling and reporting tasks which can lead to better decision making. 

Python for AI- Tools for Data Engineering

The Data Engineering process requires frameworks and infrastructure to ingest, process, and store large quantities of data. This includes not just an infrastructure that scales vertically but also horizontally across large server farms. The workflow included data cleaning, feature engineering, and storing a large amount of data. 

The tools include Apache Spark, Kafka, Delta Lake, and many more. This area typically leverages a lot on the existing big data architecture. It also needs to have a very flexible infrastructure in place to play around with data in short iterative cycles. The proliferation of managed data and analytics frameworks is also very commonplace like data bricks.

Data Visualization: Connecting Numbers to Narratives

Journalist and Designer, David McCandless, in his TED talk said, “By visualizing information, we turn it into a landscape that you can explore with your eyes, a sort of information map. And when you’re lost in information, an information map is kind of useful.”

A picture is worth a thousand words and it is not just the numbers but the narrative behind those numbers. That need to be in place for the decision-makers to zero in on the right options. Data Visualization is quite a complex engineering piece that stands at the confluence of art and engineering.

Visualization adds narrative to the numbers and it is very meaningful when conveying the right inputs to the decision-makers in the company. It is easy to process in a condensed form. The verbose nature of the data, in general, is not very expressive to create reports and help decision-makers with the right information they are looking for. Visualization helps to bridge that gap.

Python for AI- Tools for Data Visualization

The Data Visualization tools that are available in python are Matplotlib, Seaborn, Plotly, ggplot, and Altair, etc. The visualization tools need to be simple to use APIs, cross-platform support like browser, etc. It might be helpful if it is interactive in nature. 

Why is Python the Most Preferred Language for AI?

Guido Van Rossum created Python in 1980. Since then because of its simplicity, expressiveness, and flexibility. It has been the language of choice for many general purpose applications for amateur and seasoned programmers alike. A few of the features of Python which plays out to its advantage are:

1. Simple to Learn and Use

It is simple to start and use, the developer can build expertise in this language almost effortlessly. There is a huge buffet of online tutorials that make learning Python extremely easy for beginners. Simple syntax, expressive style, and natural language semantics make it an ideal choice for developers working on AI. Further, doing quick experiments and iterations with the language is very easy because of its interpreted execution format. It can tuned to run extensively fast with the compiled version also available.

2. Mature and Supportive Community 

Python has been around for almost 30 years now and over the years it’s developer community has grown many folds. From documentation to tutorials to books there is an extensive choice of options for taking the skill levels from the beginners level to the expert in a less span of time. Getting help at the time of need builds the confidence in the programmers to dive in. It also means a lot of time saved from reinventing the wheel. 

3. Support from Large Companies 

Python among the current generation of languages possible has the biggest large-scale corporation support among its peers. With Facebook, Amazon, Google, Uber, or in-short almost the whole world is delivering their open-source frameworks and packages in Python. It is invariably becoming the default standard for developers across the globe. 

4. Versatile Open-Source Library Support

Pretty much any domain that we can think of will be very likely to have python libraries and frameworks available for the developers. It saves time, promotes reuse, and also helps to build the community of developers. 

5. Efficient, Reliable, Flexible, and Versatile

Python applications is available everywhere, whether it desktops, servers, or mobile applications. It is by far the most versatile language among the current generation of languages out there. However, the versatility of the language attracts many applications and more developers get added. Big Data, Machine Learning, and Deep Learning are some of the latest areas where Python is finding its application too.

Python has a prominent place in the Data Analytics space. The research community is in love with python and that is evident from its applications. Thousands of Machine Learning libraries are doing round and many more are getting added on a daily basis. 

6. Rapid Automation Prototyping

Python is the poster child for the automation domain. With many tools, libraries, and frameworks in place getting into automation and also mastering the art is relatively easy. In the space of Artificial Intelligence and Data Processing, a lot of automation is required largely. Due to the fact that there is a lot of data to crunch and it is just not possible to handle all this sheer volume without automation. 

Wrapping Up 

Python, with its simplicity, robustness, and expressive nature along with interpreted execution with huge open-source, corporate and community support is just the right mix of everything. Therefore, Artificial Intelligence Engineering is a highly iterative and experimentation-heavy domain. Thus Python is the perfect language to support its applications. No wonder the raging popularity of using Python for AI has only seen an upward trend and will continue to rise in the coming years as well.

We have a huge pool of expert Python Engineers with expertise in all verticals of the Artificial Intelligence domain to help your next big idea. Connect with us.

The post Python for AI: Tools and Key Advantages appeared first on EngineerBabu Blog.

Considering you as an entrepreneur from a non-technical background, all you would be having is a vision for your product. We understand that it can become quite difficult to deal with converting that vision into reality and how it can be implemented.

After reading this blog, you will know all the in’s and out’s of Python technology and how to hire Python developers that we are going to discuss.

As an Entrepreneur of Non-Technical background, are you aware about essential aspects of Python technology? It’s Market presence? What future holds for this technology? and the finance involved with it?  Don’t worry, you will get all the information here.

This Digital Transformation guide for Python is bundled with all you need to know about Python for building your next project & to enable you make an informed decision. Let us tell you why we are experts on this technology.

We have worked with 1000+ CTOs, hundreds of products amongst them have been funded by VC including MIT DeltaV, Harvard innovation Lab.

We want to share why they chose to hire Python developers to build scalable solutions.

Do you know What Python is?

Python is a programming language, developed by ‘Guido Van Rossum’, and was released in 1991. It follows language constructs and object oriented approaches to help programmers in developing clear, logical code for  projects, small and large.

Python is used for Server-side web and software development, system scripting, and mathematics. It can be used with software to develop workflows and can connect to databases.

Its code can be combined with other languages like C, Java to enhance efficiency, high performance and scripting capabilities which other languages usually cannot provide.

Python is often termed as Batteries included language due to its comprehensive standard library. It is a multi-paradigm programming language which supports Object-oriented programming, and structured programming.

Object-oriented programming is a classification of programming that supports the concept of “objects”, which may contain data and code: data within the sort of fields, and code, within the sort of procedures. This feature is the core to easy-deployment structure of python.

Also, equally important is the feature; Structured programming. Structured programming is a programming paradigm that facilitates the creation of programs with readable code and reusable components.

Many features of python also support aspect-oriented programming and functional programming (metaprogramming and metaobject). About this feature we will get into details in the later part of the document.

Python has many reliable built-in libraries and also has many free and open-source libraries introduced by Python developers. Therefore, you can hire python developers to fulfil your project needs.

Python development has been found as a popular choice among Tech Startups  as it is an ideal choice for entrepreneurs looking to build the product with minimum viable products (MVPs) and prototypes. Therefore, tech startup founders look to hire Python developers because it is an easy, quick, efficient and ideal language for developing and prototyping concepts.

Let’s Introduce you to Django (Python Framework)

Django is that one tool which can solve all your problems and in any kind of operation out there, we can use it. It’s very simple and easy to use.  It’s a free and open source framework. All its features are inside Python. Now, Python is considered as the most popular language of the market.

It is a high-level Python Web framework that supports fast and clean development and designing. Django is built by experienced developers, it minimizes the hassle of Web development, so you can write your app without reinventing the complete process. Companies look to hire remote python developers having expertise in the Django framework.

Features of Django

1. Tremendously Fast: Django was developed to support quick development ranging from concept to completion of the application.
2. Reassuringly Secure: Django helps developers in avoiding many common security mistakes, as security is its major priority .
3. Exceedingly Scalable: Some of the busy sites on the Web very well exercise Django’s ability to quickly and flexibly scale the product.

Why Prefer Python Over Other Technology?

Python is preferred over other technologies, due to multiple reasons. We have listed them here to help you understand which is better and in decision making to hire Python developers or not for your project.

1. Powerful And Easy Implementation

Python is considered as a beginner’s language, because it is easy to learn and have a steep learning curve. The developer with basic knowledge can also work over it with a little practice.

The developers don’t have to bother about software engineering constraints or on debugging time. They can dedicate more time in developing algorithms and heuristics related to AI and ML programming.

2. Ease of Libraries

Python is available with a number of inbuilt libraries for technologies, specially for Machine Learning (MI) and Artificial Intelligence (AI).

Some of the most popular libraries are Pytorch, TensorFlow (high-level neural network library for deep learning), scikit-learn (for data mining, data analysis and machine learning), matplotlib, seaborn, scikit (data visualization), etc.

Due to Python’s popularity, there are numerous resources out there where Python libraries are utilized.

To help other developers, the researchers used to build their own libraries and share it on GitHub or similar platforms. Thus, makes it easier for entrepreneurs to look for trending frameworks and features and then hire python developers for building the product.

Python’s Market Presence

Python has been the highest gainer in the Tiobe Index of Language Popularity in 2018. It raised by 3.62% from January 2018 to 8.294% in January 2019.

Python is the most-frequently-taught first language at universities now, says the software quality services vendor. It resulted into increased trend of hiring offshore python developers.

It is a leading programming language in the Artificial Intelligence, Statistical, System Testing, and Scripting domains. And is also leading in web app development and scientific computing.

The PyPL Top 10 for January 2019

The rival PyPL “Popularity of Programming Language Index”, analyzes the frequency of language tutorials searched on Google. In this analysis Python dominates its ranks. The PyPL Top 10 %ge share by the following languages:

1. Python- 95%
2. Java- 42%
3. JavaScript- 26%
4. C#- 62%
5. PHP- 7.37%
6. C++/C- 6.31%
7. R- 4.04%
8. Objective-C- 15%
9. Swift- 2.56%
10. Matlab- 2.04%

Top Project Domains opt to Hire Python Developers

Python has gained popularity in numerous domains and produced many wonderful platforms. However, it is majorly preferred in these following industries (as depicted in the below figure).

Top Industry Verticals Hire Python Developers

Here, in the below figure we can analyze that Python is a great tool effectively working as an allrounder in numerous industries. Whereas, it is majorly preferred in Science and Education industries along with many other industries.

Top Websites Using Python Development

Top 10 Reasons: Python’s Rising Popularity

1. Renowned Corporates are majorly looking to Hire Python Developers

Programming languages usually grow faster when it receives support from renowned corporates.

Thus, Python Programming language attains a heavy backing by Amazon Web Services, Facebook, and especially by Google.

In 2006, Google adopted python language and since then has used it for building numerous applications and platforms. Google has created a dedicated portal only for python.

2. Plethora of Open Source Python Libraries and Frameworks

Due to its corporate sponsorship and big supportive community of python, python has excellent libraries that you can use to select and save your time and effort on the initial cycle of development.

There are loads of cloud media services to offer cross-platform support through library-like tools, which can be very helpful in product development.

3. Only Language offers Versatility, Efficiency, Reliability & Speed at one place

To hire python developers it is important to check that these developers will wholeheartedly agree that the python language is very reliable, efficient, and quite faster than many modern languages.

Another best thing about Python’s versatility is that it can be used in a variety of environments, such as desktop and mobile application development, web development, hardware programming, and many more.

The versatility of python makes it more attractive to use due to its high number of applications.

4. Python Ruling in Big data, Machine Learning and Cloud Computing

Cloud Computing, Machine Learning, and Big Data are some of the hottest trends in the computer science world right now, which helps lots of organizations to transform and improve their processes and workflows.

Majority of data processing workloads in the organization are powered by python language only.

Lots of research and development takes place in python language due to its many applications, including ease of analyzing and organizing the usable data.

Not only this, but hundreds of python libraries are being used in thousands of machine learning projects every day, such as TensorFlow for neural networks and OpenCV for computer vision, etc.

5. Python has penetrated into Essential Academic Curriculum

Python language is being taught as the core programming language in schools and colleges due to its countless uses in Artificial Intelligence, Deep Learning, Data Science, etc.

It has now become a fundamental part of the development world that schools and colleges cannot afford not to teach python language.

Hence, the number of start-ups looking to hire Python Developers are increasing and resulting in the expansion of its growth and popularity. This leads to Tech-Giants wanting to hire python developers.

6. Python another name for Automation

Python language can help tons in automation of tasks as multiple tools and modules are available, which makes things a lot more comfortable and easier.

It is incredible to understand that reaching an advanced level of automation becomes  easy, just by using the relevant python codes.

Python is considered as the best performance booster in the automation of software testing. It surprises everyone with its performance in terms of less time and few numbers of lines to write down codes for automation tools using python.

7. Majorly utilized in the Internet of Things

After the growth of the Internet of Things- small low-power devices which are linked on the internet and can run any custom code has risen to the top for multiple devices you can buy or think for. It becomes possible only due to the Python programming language.

Devices such as the Raspberry Pi are very small and hooked up with a multitude of sensors, lights, robots, displays, and many more. It allows developers to write code and establish communication between these parts, and can also send and receive data over Bluetooth, the internet and various communication methods.

8. Python is Versatile for Web Development

Python is incredibly versatile and powerful and this extends to the online also . When fixing an internet server, you would possibly consider Node.js, .NET or Java, but Python is another great contender. While it lacks a number of the performance of the opposite languages and frameworks, it is easy to push something up and running in Python very quickly and to continue being very productive.

The developer experience can outweigh the reduced performance, and scaling your system for performance has become easier than ever with cloud services like AWS, Azure, Google Cloud etc. Hence, we can see why hire python developers.

9. Python in Entertainment Applications

As unbelievable as it sounds, the world-class Industrial Light and Magic studio also utilizes the best of Python in its proprietary lighting software for adding special effects in Hollywood movies.

At the time, Python was about five years old but was recognized as an influence language that was easy to code in. Hence, ILM made the decision that Python is the way to go. It was clothed to be an honest decision for them, because they were also ready to incorporate it into a number of the computer graphics pipeline also.

Thus, we can see that these corporations built entertainment applications. When they hire python developers, they bring goodness to their application.

Since Python can help C and C++ ask other sorts of hardware and software (such as renderers), a number of the finished computer graphics you see in most movies today are through Python.

Abilities Django Framework that helps Businesses

1. Businesses Scaling

A lot of MNCs on a worldwide scale use Django and it gets implemented there without any defects or errors. It’s the simplest example of Django being scalable.

Scalability means at what scope or level, our technology gets to implement. For bigger websites like Instagram, there are many active users (millions of them) which generate data in huge amounts (terabytes of data per day). This type of level requires our system or application to be very precise and error-free. It is difficult for programmers who are also web developers that have many years of experience.

Thousands of tests and debugging and now with lots of time on the market side as the open source project makes Django ideal for anyone who wants to make their websites error-free and scalable to a bigger environment.

2. Provides High-Security

Django is super secure. To prove the feature, you’ll always take samples of many websites which are worldwide and possess huge traffic. Django is secure because it covers the loopholes by default which were once left open for the backend developer to end.

Although while using Django you’ll not feel it but those expert backend developers can tell the standard and security of the work done by Django. The writing of Django’s code is completely from scratch while that accounts for its other features also , but it also accounts for the safety you’re getting with this framework.

We cannot get security at such a huge scale with this much expertise of code in other technologies.

3. Thoroughly Tested Framework

“Django has been in the industry for a long time and will remain a well-liked technology which is thrashing frameworks like Laravel (PHP) in their own game.”

MNCs everywhere the planet extensively use Django for creating projects so we will say that it works well to handle all the traffic and also accomplish international standards. It has been around for therefore much time that many bugs and errors are taken care of. It’s an honest time to find out.

The number of developers that are using Django for web development keeps growing daily. Hence, it makes Django a public-tested technology. If it was not stable or a task accomplishing why would it gain popularity and still be in the market.

Various Use-Cases of Django Framework:

Django is additionally used to build eCommerce websites, health care and financial applications for transportation and booking, social media sites, and many more.

Here are some project types that you can develop using this framework:

• Financial platforms with features for analyzing and calculating approximate results based on personal data, risk tolerance, the probability of achieving goals;
• Built-in custom CRM systems for internal data;
• B2B CRM systems for handling communication between businesses;
• Platforms that facilitate communication between two parties, such as a business and a consumer;
• High-load booking engines or shopping platforms;
• Android and iOS mobile apps that support web applications;
• Real estate property evaluation systems;
• Document management systems;

Some companies prefer to build their projects simply on one framework. Django can be the first preference to create individual features, such as:

• An emailing system for sending notifications to users;
• A filtering system with advanced logic and dynamically changing rules;
• Algorithm-based generators;
• Data-analysis tools;
• Interfaces for managing investment funds;
• Admin dashboards;
• Photo-based verification systems;
• And other features that facilitate the development of CRM and B2B platforms, online marketplaces, booking systems, and more.

Python plays a vital role in SEO & Marketing needs

SEOs and web developers aren’t always known to play nice together. The task of a developer and optimization of an SEO sometimes seem to be at cross purposes. Thankfully, when said developers are using Django, this is often less of a problem .

For one, Python’s Django framework supports the utilization of human-readable website URLs, which isn’t only helpful from the particular user’s perspective, but also to look engines, which use the keywords within the URL when ranking sites.

Your SEO team will thank you for using Django. Besides, it just makes more sense to make sure URLs mean something rather than being just a series of random numbers and letters. When it involves Django SEO, this easy tutorial will get you started on the proper path.

Python provides many automation opportunities for low-level tasks which we might usually spend several hours undertaking.

Python empowers SEO professionals during a number of the way because it not only enables us to automate repetitive tasks, but also to extract and analyze large data sets. The amount of data marketers work with is only increasing, so being able to efficiently analyze this will help to solve many complex problems in a shorter amount of time.

This in turn saves valuable time and allows us to be more efficient in undertaking other important SEO tasks. These factors combined have led to a growth within the popularity of Python amongst SEO professionals. The ability to better understand data will not only help us do our jobs better, but will also allow us to make data-driven decisions. These decisions will then enable us to provide concrete insights for our clients and stakeholders and have more confidence in the recommendations we implement.

Automating with Python helps in Marketing

While Python won’t be ready to imitate human, emotion-led strategy, Python scripts are often needed to automate an outsized number of time-consuming tasks. This list of tasks you’ll automate with Python is growing continuously:

• Identifying user intent.
• Mapping URLs before a migration.
• Internal link analysis.
• Performing keyword research.
• Optimizing images.
• Scraping websites.

Marketing automation is all about using software to automate marketing activities. Many marketing departments automate repetitive tasks like email marketing, social media posting, and even ad campaigns — not only for the sake of efficiency, but in order that they can provide a more personalized experience for his or her customers.

Top 5 Reasons to Use Python for Marketers

Python is extensively utilized in automating different tasks used for digital marketing campaigns nowadays. The most objective of using Python as an automation code development is to enhance the marketing efficiency and effectiveness to make a competitive advantage over the competitors.

Let’s find out a couple of important reasons for using the Python for marketing within the modern digital marketing field.

1. Sizable amount of knowledge Analytics Libraries

Python language is powered by numerous data analytics related libraries that are extensively useful for the digital marketing professionals. The examples of such tools include NumPy, Pandas, StatsModel, SciPy and others.

These tools are large-scale libraries for data mining, analyzing, converting, cleaning, processing, summarizing, visualizing, and reporting.

There are many other libraries that can help you get a deeper perspective on the user data that you, as a marketer, are interested in. The present-day digital marketing is useless if it is not properly driven by the meaningful information behind it.

The information can efficiently be achieved by using the power of the Python language. CTOs also look to hire python developers as their marketing needs get satisfied more easily.

2. Increased Data Mining Efficiency

By using the Python programming language, the marketers achieve huge efficiency in the data mining process. The traditional data mining processes mostly used excel sheet processing, which has its own limits and performance.

For instance, processing an excel sheet of about 100 MB data at a better speed and performance would be difficult.

But, Python code can just roll in the hay during a few seconds without sweating in the least . Thus, Python increases the efficiency of knowledge mining processes commonly used for getting insight into the marketing campaigns also as launching the new campaigns.

3. Improved Search Engine Optimization (SEO)

Search engine optimization or SEO is one of the core components to make your marketing campaign a success. A better ranking index of the website can help improve the visibility of your website and business.

A large number of matters related to SEO, such as 404 errors, meta tags, descriptions, robot text file, content duplication, faulty navigation map, and others can easily be detected through a custom Python code for automating the SEO process.

Once the SEO faults are detected, it is easy to remove them instantly before they could damage the search engine ranking badly. It is very critical to use the simplest white label SEO rules recommended for a high ranking index, which may be achieved by getting a deeper perspective on the web site technical and content related issues within the early stages.

4. Efficient Use of Big Data

According to the Research and Markets predictions, the global market of big data will grow over 14% CAGR for the next three years from the present value of about $65 billion in 2018.

The total volume of big data will cross 44 zettabytes by 2020. To skim the valuable information from this valuable heap of data, Python plays an important role. Developing customized Python codes to combine, process, analyze, and visualize the big data makes the big data so useful for the marketers.

5. Effective Campaign Monitoring

One of the most critical bottlenecks in making the digital marketing campaigns successful includes the monitoring and course correction of the marketing campaigns. The use of Python custom codes can make life so easy in monitoring the ads, effectiveness, clicks, checkouts, conversion rate, and other parameters in the real-time.

This monitoring can help the marketers make the campaigns more focused towards the desired segments by correcting the fault lines in the campaign components. A good Python code is able to monitor Facebook, Google, YouTube, and other ads in real time by using the APIs of the social websites.

Now, you know how Python & its framework Django works. Let’s take a look at its competitor “Java” which is also trending in the market.

Notable Differences Between Python & Java

• Java features a complex learning curve whereas Python is straightforward to find out and use.
• The programming language Java takes 10 lines of code to read from a file while Python only needs 2 lines of code.
• Java offers limited string related functions, whereas Python offers many string related functions.
• Very simple syntax compared to Java, C and C++ languages.
• Used for Machine Learning, Deep Learning, and therefore the general overarching AI field. Very useful in data analysis and visualization.
• Extensive library and handy tools for developers
• Python is cross-compatible
• Compared with the code of other languages, python code is straightforward to write down and debug. Therefore, its ASCII text file is comparatively easy to take care of .
• Python may be a portable language in order that it can run on a good sort of Operating systems and platforms.
• Python comes with many prebuilt libraries, which makes your development task easy.
• The programming language helps you to form complex programming simpler because it internally deals with memory addresses, garbage pickup .
• Python offers database interfaces to all or any major commercial DBMS systems.
• Supports imperative and functional programming
• Python is legendary for its use in IoT.

Java vs. Python: Most Used Language

Below graph is the Stack Overflow Most-used Language graph of Java vs. Python. It depicts the growth of Python as compared to Java, ultimately resulting in increasing demand to hire python developers.

Features of Python

Here, are some important features that Python provides:

• Easy to find out , read, and maintain code.
• It can run on various hardware platforms & using an equivalent interface.
• You can include low-level modules to the Python interpreter.
• Python offers a perfect structure and support for giant programs.
• Python offers support for automatic garbage pickup .
• It supports an interactive mode of testing and debugging.
• It offers high-level dynamic data types and also supports dynamic type checking.
• Python language are often integrated with Java, C, and C++ programming code.

Java or Python: Which is better?

Python is an ideal choice for beginners as the language is more intuitive, and its syntax is very much similar to the English language. However, its open-source nature facilitates a slew of new tools that improve it.

Also, Java may be a general-purpose programming language that was designed with a selected goal of allowing developers to write down once run anywhere.

Selecting one language among these ultimately minimizes the cost of the project development.

Popular Companies that Switched to Python

Now we’re going to tell you about eight top-tier companies that use Python. That way you can see what great real world opportunities there are for Python development out there.

1. Industrial Light and Magic

Industrial Light and Magic (ILM) is the special effects powerhouse that was founded in 1975 by George Lucas to create the FX for Star Wars.

ILM chose Python 1.4 over Perl and Tcl, opting to use Python because it had been much faster to integrate into their existing infrastructure. due to Python’s easy interoperability with C and C++.

2. Google

Google has been a supporter of Python from nearly the very beginning. The company moved to python due to the convenience of deployment and the way simple Python is to take care of .

In fact, consistent with Steven Levy– author of “In the Plex,” Google’s very first web-crawling spider was first written in Java 1.0 and was so difficult that they rewrote it into Python.

3. Facebook

The ease of using Python libraries means the assembly engineers don’t need to write or maintain the maximum number of code, allowing them to specialize in getting improvements live.

It also ensures that the infrastructure of Facebook is in a position to scale efficiently. Python is currently liable for multiple services in infrastructure management.

4. Instagram

“We initially chose to use Python because of its reputation for simplicity and practicality, which aligns well with our philosophy of ‘do the simple thing first.’ –Instagram Official.

Since then, Instagram’s engineering team has invested time and resources into keeping their Python deployment viable at the massive scale (~800 million monthly active users).

5. Spotify

This music streaming giant may be a huge proponent of Python, using the language primarily for data analysis and rear services.

The reason that the services are written in Python is because Spotify likes how briskly the event pipeline is when writing and coding in Python.

To provide suggestions and proposals for users, Spotify relies on an outsized volume of analytics.

6. Quora

Quora is a huge crowd-sourced question and answer platform thought long and hard about what language they wanted to use to implement their idea.

According to Adam D’Angelo, they decided not to go with C# because it’s a proprietary Microsoft language and they didn’t want to be beholden to any future changes put out.

7. Dropbox

It is a cloud based storage system that uses Python in its desktop client. If you have any doubt at all about how invested Dropbox is in Python, consider that in 2012, they managed to convince Guido van Rossum.

Rossum joined Dropbox under the condition that he would be an engineer, not a lead or even a manager.

8. Reddit

This website had 542 million visitors every month across 2017, making it the fourth most visited website in the United States and seventh most visited in the world.

In 2015, there have been 73.15 million submissions and 82.54 billion pageviews. Thus resulted into, forming the software backbone, with Python.

Reddit was originally coded in Lisp, but in December of 2005, six months after its launch, the site was recorded into Python.

Stats of Python vs Other Back-End Technologies

Since 2012, Python has been consistently growing in popularity, and therefore the trend is probably going to continue, if not increase, within the future.

As Per the Stack Overflow Developer Survey 2018:

The demand and support for Python also are on the increase , and if projections are to be believed, Python will overtake Java within the coming years and claim the highest spot.

Among the most important differences we saw was within the programming language Python. Once we specialise in high-income countries, the expansion of Python is even larger than it’d appear from tools like Stack Overflow Trends, or in other rankings that consider global software development.

We’ll explore the extraordinary growth of the Python programing language within the last five years, as seen by Stack Overflow traffic within high-income countries. The term “fastest-growing” are often hard to define precisely, but we make the case that Python features a solid claim to being the fastest-growing major programming language .

It’s worth emphasizing up front that the amount of users of a language isn’t a measure of the language’s quality: we’re describing the languages developers use, but not prescribing anything.

Python’s Rapid Growth Across the Globe

We have data on Stack Overflow question views going back to late 2011, and during this period of time we will consider the expansion of Python relative to 5 other major programming languages.

June 2017 was the primary month that Python was the foremost visited append Stack Overflow within high-income nations. This included being the foremost visited tag within the US and therefore the UK, and within the top 2 in most other high income nations (next to either Java or JavaScript). This is often especially impressive because in 2012, it had been less visited than any of the opposite 5 languages, and has grown by 2.5-fold therein time.

Is Python’s Popularity an honest thing?

Yes, considerably so. While generally what’s popular isn’t always the simplest, within the case of programming languages the recognition pays off. because of Python’s popularity, you’re likely to seek out a ready-made solution to any problem you’ll be experiencing.

The community of Python enthusiasts is robust and that they are working tirelessly on improving the language a day. Python also features a number of corporate sponsors, pushing to popularize the language further still. Among them are tech giants like Google, which itself is using Python.

Effects on Product Timeline when you Hire Python Developers

If you or your company wants to create a product and are looking to hire python developers, your choice of language may ultimately boil down to preference and expertise.

But if you’re running on a budget and wish a product unrolled directly , the selection of language then becomes more important. the larger the project, the more important this choice becomes.

Python is a perfect option for bootstrappers and startups due to its quick deployment and—as mentioned earlier—a lesser amount of required code next to Java, C, and PHP among others.

If you hire python developers they will assure quicker delivery of your product from your development team. However it also depends on the complexity of your project and based on your planning to scale it in future.

How Much Does It Cost To Build A Web Application In Python?

The value to create a web application with python will depend on the appliance features, functionality, your budget, and therefore the number of hours invested by the programming team. The ultimate cost to create a Python web app by knowledgeable Python web development company is often within the range of $1000-$5000, which can go further if you modify your requirements at different stages of the project.

If you are interested in hiring an IT agency in Indian then, the monthly quotes for the project can start from $1000 USD/month to $2999 USD/month. Based on project requirement. Hence, hire Python developers based on project needs.

Factors which Affect The Expense of Python Web App Development

Are you looking to hire python developers, then the cost that is generally associated with building a web app using python? If yes, then you are the right place, but before we start discussing the cost required for web app development, let’s get familiar with this wonderful and unique programming language called Python.

Factor 1: Features & Functionalities

First, you need to understand that the development cost of a web app cannot be a static quantity, which is not possible to be simply put in front of you by anyone. Why so?

This is because an internet app contains a spread of features like graphics, functionality, and connectivity to the online server. The more complex an app features are, the upper would be its development cost. So, the final price of the web app depends upon the requirements provided by you.

The clients are mostly required to provide details about the number and types of features they require in the web app. This basic concept applies within the case of Python web app development also. So price is largely affected by the features and functionality you want in your python web app. Additionally, ensure years of experience when looking to hire Python developers (entry-level, mid-level, or experienced developers).

Factor 2: Your budget

Yes, the budget is surprisingly an important aspect that will ultimately contribute to the final price of your web application. Generally, the final cost of a web app is 1.2 to 1.5 times higher than the cost or budget decided by a client initially.

This is because the other factors such as the number of work hours and the complexity of the app features boost the actual price. Typically, you ought to set a budget around $3000 while trying to find development of a typical Python web application.

Factor 3: Design Cost

While making a Python web application, the programmers are required to get a website name for the web site. Adding to the present , all the required website data also is stored on a hosting server, which also incurs some cost to the clients.

Further, the planning and therefore the website layout requested by the clients also influence the ultimate price of the Python web app. This is often because web designers make an additional effort to make your customized design or may need to purchase paid design templates.

It is important to hire python developers who understand the needs of the project and write codes that don’t impact the design of the User Interface and can be scaled easily.

Factor 4: Development Cost

The development process is that the most vital factor and that affects the ultimate price of a Python web application. If you hire python developers that meet your requirements and can handle back-end efficiently then it is a huge plus.

A number of tech experts are usually involved in the development of a single Python web app, including front-end designers, back-end programmers, testers or quality assurance individuals. Typically, a web development company will put a price quote of $3000-$30,000 for developing a Python web application.

However, if you’re on a decent budget, then you’ll alternatively prefer to hire python developers (freelancer), who generally charges around $5 to $75 per hour, which mainly depends upon their skills, expertise, and site.

Future Perspective and Growth of Python

It is expected that Python is having a bright future ahead, and the following reasons will justify the prediction.

1. Python has been voted as the most favorite programming language beating C, C++ and java programming. It is an open source programming language and used to develop almost every kind of application.
2. Python is being used worldwide as a wide range of application development and system development programming languages. Big brands and program giants are using python programming to form their task easier. Google, Yahoo, Quora, Facebook are using python programming to unravel their complex programming problems.
3. It is flexible, robust and comprehensive programming language. Python is a high-level programming language and easy to learn as well as it reduces the coding effort compared to other programming languages.
4. Python programming is employed to write down test scripts and test mobile devices performance. it’s one among the foremost versatile languages lately . To hire Python developers are most in demand within the IT industry lately and often paid more compared to a different language programmer.

Here, is the graph showing projections of Python vs other programming languages, it is anticipated that Python will lead in the future:

According to this model, Python could either stay in the lead or be overtaken by Java in the fall (it’s roughly within the variation of the model’s predictions), but it’s clearly on target to become the foremost visited tag in 2018. STL also suggests that JavaScript and Java will remain at similar levels of traffic among high income countries, even as they need for the last two years.

Rising Jobs & Salary of Python Developers in Different Countries

As Python is becoming the new market trend and developer favorite, we will see why there is a rise in new job openings and companies are looking to hire python developers.

If you’re on a decent budget, then you’ll prefer to hire python developers, or can search for agencies from Asian Countries. The freelancers generally charge around $5 to $75 per hour, which mainly depends upon their skills, expertise, and site .

On the opposite hand, the agencies in Asian Countries charge relatively but western countries.

Python Developer Rates in the US, Europe, and Australia

Salary of Python Developer in India can be affected by multiple number of factors and to hire python developers there are some affecting factors:

• Experience
• Location
• Job Role
• Skillset

An entry-level Python developer’s average salary in India is ₹427,293.

The average salary of a mid-level Python developer is ₹909,818 and that of an experienced Python developer is ₹1,150,000.

*The salary structure varies from based on their job roles (Data Scientist, Machine Learning Engineer, DevOps Engineer, Web Developer, etc.) and city to city in India. Python developers from Gurugram & Bangalore earn 26% & 21% more than the rest of India respectively. However, the lowest-paying cities for the Python developers in India are Chennai, Pune and Hyderabad.

Skills And Qualities Of A Good Python Developer

Some key qualities that you should look for before you hire python developers:

Required Technical Skills to Hire Python Developers

1. Expertise in Core Python (Iterators, Generators, Exception Handling, File handling concepts, Data types and variables, OOPs Concepts, Data Structures)
2. Sound Knowledge of Web Frameworks (Flask and Django most popular frameworks, along with JavaScript, CSS, and HTML knowledge is beneficial for good Python Developer)
3. Knowledge of object-oriented Programming language.
4. Good understanding of MVT (Model View Template) and MVC (Model View Controller) Architecture.
5. Expertise in Designing and Analytical Skill.
6. Basic understanding of Front-End Technologies (React, HTML, CSS).
7. Good Understanding of Data Science and Machine Learning.
8. Knowledge of how to develop RESTful APIs with Python to integrate apps with other elements.

Required Soft Skills to Hire Python Developers

1. The ability to effectively interact with coworkers, clearly convey ideas, discuss the project’s technical details, and share the project vision.
2. Have a desire to contribute to achieving common goals, a willingness to put the interests of the team ahead of personal interests, and the ability to deal with conflict.
3. The ability to set priorities, manage time, and meet tight deadlines.
4. The motivation to work well and a willingness to accept guidance, enhance skills, and learn new technologies
5. A Critical thinker, having interest in testing different scenarios and choosing the most efficient when faced with numerous possible solutions
6. Lack of ego and a willingness to accept criticism, learn from feedback, and be humble

Although Python has created a reputation of being an easy-to-learn language in the programming world, to hire python developers you should still look out for an expert programmer.

The syntax and structure of Python are easy to learn even for novice programmers, but companies look to hire python developers, who are able to solve the real-world problems using logical thinking.

Conclusion

Python has already taken place within the web application development market. It is clothed to be the simplest option. However, now, businesses also are curious about adopting Python to make custom mobile applications. within the near future, the utilization of Python to make mobile applications will increase rapidly, with the increased demand for mobile applications.

However, to transform your ideas to full-fledged products it is important for the businesses to hire python developers.

Hope this article delivered a brief understanding on how Python supports and is important for the Back-End development of a website app and will continue to do so.

Help us keep updated by sharing your experience with us here.

The post Python- Digital Transformation Guide for Non-Tech Founder appeared first on EngineerBabu Blog.

However, chasing the success perspective that attains globally and retaining brands like Facebook, Google, Netflix, Instagram, and many more. All such brands rely on python developers to achieve perfection for their products and unlock complicated possibilities along with minimum development time.

Python is a brilliant programming language and can deliver wonderful results when clubbed with Flask, Django, and other cutting-edge frameworks. Being such an effective programming tool, we can easily understand why you should prefer hiring python developers above others for your new project development.

Why is Python the Most Preferred Language by the Companies?

Source: Toxsl Website

In the era of Machine Learning and Artificial Intelligence, Python is attaining such an interest standard among developers and companies for the development of other specific technologies. Python is a programming language that never loses its spark because of its various and unique vital features. It supports a unique information structure and is an open-source programming language available for everyone.

The different reasons and aspects of companies preferring Python the most as the programming language for project building are as follows;

1. Multiple Use Cases

Python is an effective platform used for different ventures like web and software development, and GUIs. It is also used in building Climate Conjecture, and Games score-related apps, which are very much efficient in delivering logical and numerical information.

The Python programming language delivers so much and easing developer’s work, which is pushing organizations to prefer hiring Python developers.

2. Interpreted

Python being an efficient tool, doesn’t demand code compilation. The source code is deciphered line by line during the complete coding procedure. This fastens the process of the developers and eases the code troubleshooting. Therefore, it becomes the preferred language over others, and companies seek for hiring Python developers first instead of other programmers.

3. Readable

Python is a powerful programming language and easy to learn. It is a very compatible language for developers and elevates the level of development. Hence, companies used to hire Python Developers over other languages specialization.

4. Wider Library Support

Python has an extensive and comprehensive collection of libraries to fasten the development procedure. The developers don’t need to repeatedly design codes, just fetch the desired library and they are sorted. The developers can add their own library and use it in other projects to minimize the coding length and time.

How to look for Hiring Python Developers?

Finding appropriate candidates and hiring Python developers requires accurate and correct decision making during the complete process. Hiring the fittest candidate for your company, organization, or team will help you achieve your goals on time and efficiently.

 Consider the following points while hiring Python developers to get the best and experienced developers for your company.

1. Define your Requirements

We all know, Python programming language is used to serve multiple purposes in building applications. Hence, defining your requirements as a company would be very helpful in getting the right Python Developer. The definite company requirement will help in managing the properly organized screening process while going through the applicant’s documents and applications.

2. Call for Interview

After applicant screening, an interview is the most essential and crucial step to be carried out in a precise and accurate manner. The personal interview with each candidate will help you understand the developer’s skills and ability and various other aspects. It is the best method to clarify the requirements and doubts that the candidate could be a good fit for the company or not.

During the interview procedure, precisely look for your requirements and do clear all your doubts. Make detailed inquiries about all the mentioned skills and experience by the candidate in their application. As a result, it will help you understand that he/she can be the eligible candidate for the technical round of testing or not.

3. Conduct Technical Test

Post personal interviews, only the eligible and qualified candidates should be short-listed for the technical test round. Analyzing the chosen candidate’s technical skills and compatibility will help you choose the right candidate for your upcoming projects. It will also help you in understanding the problem-solving capability and efficiency in meeting deadlines and many other important skills of the candidates.

While hiring Python developers, ensure all your requirements and follow each test precisely to choose the best developer for your company.

A qualified and experienced developer is an asset to any company. So, proper and detailed communication is a must to find the right asset for your company. This can only be attained by a properly defined and managed interview session, and of course, by an excellent technical round to learn about their skills. It will help understand how dedicated a candidate is towards learning new skills and handling multiple tasks at a time.

Source: RawPixel Website

What Skills are Required for Hiring Python Developers?

Programming languages evolve continuously, and Python programming language can mainly be used for a wide range of applications. Hence, a talented Python Developer requires skills to learn things quickly and update the techniques instantly. So, while hiring Python developers, ensure the candidate you are selecting must possess the following skills and qualities to be a good asset for the company or organization.

1. Technical Expertise

Evidently, technical expertise is a must for every developer. Likewise, while hiring Python developers, make sure the developer is proficient in working on Python 2.x and 3.x both. Both the Python versions are widely preferred for development but are not compatible with each other. Hands-on knowledge of frameworks, libraries, and modules are very important to enhance the functionality of Python.

To hire the best Python developer, make sure the developer has a basic knowledge of Object Relational Mapper, a good understanding of Python Syntax, and Semantics, and equipped with Unit Testing and Debugging skills too.

2. Communication Skills

An efficient developer must have to be fluent in communication. Though the role is solely programming based but a developer has to communicate with clients to solve the issues. Hence, he must understand and communicate fluently in at least one foreign language, i.e., English is widely used.

Along with that, he should be a great team player and must properly coordinate with the team to deliver the best result and meet the deadline. It will also help the whole team to work together and understand the project requirements properly.

3. Critical Thinking

The best Python Developer will perform each action in a very calculated manner. As, Python serves several frameworks and libraries to allow developers to speed up the development process. But each framework is associated with some pros and cons for that specific module.

Therefore, such a development procedure also requires critical thinking before implementing the right framework for the project. As a result, while hiring Python developers, make sure he is a good decision-maker and a critical thinker before implementing anything into the project.

4. Problem Solving Ability

A good developer should be a good troubleshooter. During the development phase, every now and then, some problem arises. So, an efficient developer needs to be skilled in solving problems and avoiding the delay in product development.

The excess delay in troubleshooting can hamper the project in terms of time and budget both. Therefore, it becomes mandatory for a developer to have excellent problem solving ability.

5. Some Additional Skills

Apart from these skills as mentioned above, some additional skills can do wonders for developers and help recruiters in hiring the best Python developers. Other skills that would be beneficial for a candidate to secure the job are;

• AWS
• Django
• Flask
• React
• Google Cloud Platform
• Cloud Computing, etc.

Where to Find Best Python Developers?

Nowadays, the traditional hiring method is overtaken by specialized portals to find a new employer in the IT Industry. Listing job vacancies and applying for a job on a website has become the fastest and easiest way of finding the desired job or hiring Python developers.  However, there are a number of websites that offer a platform to the companies and the desired candidates to fulfill their needs.

So, the most common ways of hiring a Python developer are as a Freelancer, an in-house employee, or working with a software company.

Among these three, the chosen option will ultimately be guided by the following path;

• In what time duration you would like to hire a candidate.
• To interview and test the candidate, the Technical expertise is mandatory to be fulfilled or not.
• How much qualified and at what level (i.e., developer, team leader, or project manager) of an employee you are looking for?
• What is your Budget, to offer a salary package to the qualified candidate?
• At what level the project quality is a concern for you?

1. In-House and Freelance Developers

Hiring a Freelance or In-house developer is very beneficial if you have the expertise in recruiting the best and right Python Developer. The developer will be an asset for a company if he possesses the ability and desire to lead and manage the project and guide the development process until completion.

The freelance developers are quite cheap to afford, but it may also result in compromised project quality. However, the in-house developers are quite efficient, but working monotonously doesn’t allow them to be diverse and enhance their learning. Due to which, sometimes, they get stuck over new techniques or on complex tasks. So, to avoid such situations, the company needs to look for other experienced agencies of dedicated developers to handle the situation.

To hire the Freelancer of in-house developers and the best Python Developers, then there are numerous sites from where you can find such candidates. However, some of the famous and most preferred websites name are as follows;

• Toptal
• Hired
• We Work Remotely
• GitHub Jobs
• Authentic Jobs
• Remote Python
• Stack Overflow
• People Per Hour
• Upwork
• Freelancer
• Guru
• Find Bacon, and etc.

2. Software Development Companies

The Freelancers are very cheap to hire but are very risky to hire. In contrast, in-house developers are very costly for an organization to hire, and they may also need help in multiple situations. However, these software development companies can be the best option for hiring Python developers or any specialized developers or a team.

The software development companies are experts and experienced in their work, along with a team of developers who are equipped and updated with new technologies. They had a complete team of experts and built the project with utter precision, dedication, and maintaining the deadlines. As compared to in-house developers, these companies are affordable and assure to deliver the project based on the client’s requirements.

Source: RawPixel Website

How much does it Cost to Hire Best Python Developers?

The cost of hiring Python developers relies on various factors. Some of the most common and obvious reasons are their Work Experience, Skillset, Region, Sophistication of the Project, and many more. Apart from that, the other factor that defines the cost is the role assigned to the developers. So, define what the role of a Python Developer is.

The role of the Python Developer is that whether he is going to work on the front-end development or back-end development technologies. This solely depends upon the client’s or companies requirements to build the project.

Apart from job roles, the salary of hiring Python developers varies from country to country and company to company. Every country has its definite minimum payment criteria.  Many countries and companies have an hourly basis payment criteria. However, many follow a monthly basis payment system. The experience and skill set of the developers also matter.

These criteria differences cause a significant difference in the salary of Python Developers. The average Python Developers salary in the US also varies from city to city. Hence, the minimum salary, i.e., for Freshers or less than 1 year experienced, the average salary is $74,435 per year. However, for Middle Level Developers, the average salary is $100, 826 per year, and for experienced Python Developers, the payment is $127,217 per year.

Why Prefer Hiring Python Developers from EngineerBabu?

The cost of hiring Python developers or any developer is comparatively low in India that other Asian or Western countries. However, in India, you can easily access a wide pool of highly talented and skilled developers. Here at EngineerBabu we have highly skilled and experienced developers. 

All the developers are efficient in working for local or foreign clients and also manage the time-zone issue in a very brilliant manner. Our team has developed a great number of products in different genres. So, you can rely on us for your best quality product and good assistance.

The cost of hiring Python developers from EngineerBabu is very reasonable, and we assure you to deliver the best quality in the deadline. We serve you a dedicated team of developers, who only work on your project and remain in constant contact with you to deliver each update instantly.

Well, for our clients and reader’s assistance, we have compiled a budget division table. It will help you understand the average cost of product development and make it easier for you to contact us with your idea. Take a look at this budget division table.

I’m sure this above table is definitely going to help you in managing your budget and do the comparative analysis and choose EngineerBabu for your new project.

How to Differentiate between a Good and a Bad Python Developers Team?

Since there is an abundance of developers almost in every country in the IT Industry. Hence, it is necessary to learn to differentiate between good and bad before hiring Python developers for your company and its upcoming projects.

A Good Python Developers Team possess the following features appropriately as compared to bad Python developers;

• Follows best practices and updated guidelines.
• Knows how the Python Libraries work.
• Skilled and Understand Object-Oriented Programming.
• Performs a transparent workflow.
• Possess a good knowledge of Web Development Frameworks.
• Skilled in solving Python-focused Software Architecture problems.
• Works smoothly within a Team.
• Reports regularly on completing the assigned tasks.
• Involves in team meetings to discuss issues and project progress.
• Will produce code samples to represent his capabilities and open for interviews with team leaders.
• Is open for challenges and delivers the best results.

 Conclusion

We have discussed why Python is the most preferred language, process and skills of hiring Python developers, the cost of hiring Python developers, and other things in this blog. It is quite challenging to pick the right talent for your organization from the pool of talented developers. Though, these points will definitely help you in hiring Python developers and ending with the qualified and best developers.

Source: RawPixel Website

EngineerBabu has been working in the software and application development industry for more than eight years and satisfying our clients with our best work. Our team is skilled in delivering solutions for all types of complex tasks using ‘Python’- the flexible programming language. Check out our portfolio and contact us for further assistance. We assure you to deliver the best customer service in the shortest time, with an efficient team of experienced and skilled developers.

The post Why You Should Prefer Hiring Python Developers & How much does it Costs? appeared first on EngineerBabu Blog.

Python and its Frameworks

1. Bottle: It is basically a microframework that creates a single source file for every application. This microframework of Python was initially developed for building APIs. Bottle framework has no dependencies required for crafting small web applications.
2. CherryPy: CherryPy is a popular open-source, object-oriented Python microframework that generally follows a minimalistic approach. This framework is considered as the oldest microframework as it was launched in June 2002. If you are dealing with this framework, then there is no need to add Apache Server to run the deployed apps. The developer can use any kind of technology to access or template of data.
3. Django: It is a Full-Stack framework. Django is one of the most famous and widely used web development frameworks for developing Python web applications.
   It is free to use and an open-source full-stack framework, which a good number of built-in features to make web development more manageable. It uses ORM for mapping objects to the database. As a result, it allows for less coding and programming.
4. Flask: Flask is a microframework. It is a popular Python framework that is inspired by the Sinatra Ruby framework. The microframework generally requires the Jinja2 template and the Werkzeug WSGI toolkit. All thanks to its lightweight feature and modular design, Flask is readily adaptable.
   Flask facilitates developers to build a unique and prominent web application. This microframework is perfectly suitable for Google App Engine.
5. Pyramid: The Pyramid is another leading framework ofPythons. The main aim of the open-source Python-based web development framework is to get as minimalistic complexity during the development.
   The most and the best aspect of the Pyramid is its ability to work equally well with small as well as full-scale applications with equal time investment. In addition to this, there is a multitude of resources available to extend its abilities as per the requirements.

What makes Python Language an excellent fit for enterprises?

Though Python is packed with many versatile features, there are many other reasons which Python Language a superhero of the IT industry. Just check out this:

• Made for IoT: We live in an era where we all are surrounded by the Internet and the Internet of Things. It has opened the doors for many Python programmers to embrace their skills. The device like Raspberry Pi helps developers to build their own phones, games, cameras with using Python Language. With the help of this, the Python Developers connect them with the real-world market and able to create their own gadgets at a low cost.
• Budget-Friendly: Python suits well to the enterprises with tight or any specific budget, and even it is a perfect choice for big projects as well. The majority of the entrepreneurs and businesses select Python because it enables fast development, less coding comparing to Java, PHP, C++, etc.
• Python is Free: Python is an open-source language, and that is the best part about it. All its libraries, modules, and tools are totally available at no cost, and even in the future, it will remain the same. Many of its IDEs such as; Spyder Python, PTVS Pydev with Eclipse are free for downloading. Isn’t it amazing?
• MVPs & Prototypes: With Python, the developers can create minimum viable products (MVPs), as well as prototypes. Several of tech startup owners find Python an ideal language to develop and prototype proofs-of-concept.
• Huge Productivity: Python follows OOPs (Object Oriented Programming) concept in order to provide better process, unit testing, seamless integration with the text processing capabilities. All these are essential ingredients to improve the productivity and speed of development. If you are looking to develop a sophisticated yet robust multi-protocol network, Python is a smart choice.
  

  

• Scalable: For any business or startup, it is imperative to achieve success and sustain it in the market. To ensure this, Python plays a vital role. Python helps the company to overgrow. It comfortably faces the obstacles that struggle to come on its way and ensure quality growth. With the help of Python, the business is able to survive in the market and produce a stable resultant.
• Robust: Python is the most secure and robust language of this century. Many businesses like media streaming projects or social networks are mostly web-based, and it is a complex problem to keep your content more secure, original, and unaffected. But due to Python’s property of security, all the data is secured without providing any harm.
• User-Friendly: In the software community, Python is recognized as a programming language that is easy to use and intuitive, which makes it user-friendly. Python comprises built-in dictionary data structures that are useful for building fast runtime data structures on Python development. Simultaneously, the platform enables the opportunity for high-level dynamic data typing, which eventually decreases the length of the required support code. As a result,, this tends to be the primary reason behind the liking of Python by many startups and enterprises.
• Third-party Modules: ThePython package PyPI allows us to interact with other platforms and languages swiftly. The indulgence of 3^rd party modules in the packages makes the whole development process very simple.

How are top-notch companies like Facebook, Netflix, and NASA using Python language to embrace their tech stack?

Well, there is no doubt that why Python is so attractive. Not only new startups but many established companies like; Facebook, Netflix, and NASA, are switching their deprecated tech stack to Python. Let’s see how:

Facebook

Facebook not all but a significant amount of code is written in Python language. Facebook is the #1 Social Media platform that connects 100 million people through their web applications. Facebook initially used C++ and PHP but they are so delicate to hack, the founders were looking for some robust and secured language to migrate its code. Python comes with in-built libraries that are easy to use; thus, Facebook’s production engineers do not have to write so much coding and maintenance. In this way, they focus on their real product enhancement. Using Python as a backend technology facebook made its migration cost-effective as fewer engineers require to swap the technology.

A post made by Facebook in the year 2016 states that “Python is presently responsible for the multiple services in the domain of infrastructure management, consisting of the usage of TORconfig for handling networking switch setup & imaging, FBOSS for white box switch CLIs, and use of Dapper to schedule and execute maintenance work.”

• Over 21% percent of overall codebase infrastructure is covered by Python at Facebook while rest is covered by Java, C, and C++ with 9%, 15%, and 55% respectively.
• Use of Python’s framework, ‘Py3’ is increased by 5% more by May 2016.
• Since May 2016 to date, an average of 5000 codes has been modified by more than 1000 committers on. That’s a considerable amount.

Netflix

Netflix uses Python to increase its security and to solve the problem of ambiguity. Netflix engineers were free to choose the language to develop their next code, and they rely on Python. They have noticed a great list of benefits of Python and decide to shift its code. One of the leading and vital places that Python is used is in the Central Alert Gateway.

In an interview, the Netflix spokesperson stated, “We use Python through the full content lifecycle, from deciding which content to fund all the way to operating the CDN that serves the final video to 148 million members.”

When it surveyed, the  Netflix engineers point out the standard library, extremely active development community, and the wide variety of 3^rd -party libraries are available to solve nearly any given problem. In addition to this, as Python is so easy to develop, it has become a basic in many of Netflix’s other services apart from video streaming. In tracking, Netflix has seen a reduction in unexpected expirations drop from one very quarter to none since 2012 and it is considered a big achievement.

NASA

Asking about Python’s selection for NASA web development, the USA’s Senior Project Engineer Robin Friedrich says, “Python allows us to tackle the complexity of programs like the WAS without getting bogged down in the language.” Friedrich conceived of the WAS project in response to a significant gap in the way shuttle mission planning was handling data management.

In addition to this, NASA also uses Python and frameworks in Machine Learning to develop robots that behave like a human in nature. Sofia is the best example of that.

Other Companies using Python Language

Google

Python had great support from Google. The Google founders made this decision that says, “Python where we can, and C++ where we must.” Previously Google used C++ for memory control and low latency. In another way, Python is famous for its easy maintenance policy and it encouraged Google more to shift its code for the best delivery. Today, Python is among the official Google server-side languages, whereas Java, C++, and Go are others, deployed to production

Instagram

Instagram used the Django framework of Python Language to run the world’s most prominent runtime application. Taking of Instagram’s usage of Python, Instagram software engineer Min Ni says, “Initially we chose to use Python as a language owing to its reputation for practicality and simplicity, which well aligns with Instagram’s philosophy, i.e., to do simple things first. Ever since then the engineering team at Instagram has invested its time & resources to keep Python deployment viable at a massive scale they are operating at, which is 800 million monthly active users. Later in 2017, Instagram moved major of their Python codebase from Python 2.7 to Python 3.”

Quora

Quora is a famous open question and answer platform where the crowd asks any type of question. The founder of Quora had long thought about what to implement to make the product more engaging and user friendly. After so many meetings, discussions, and analyses, they zeroed in Python, C++, Java, and Scala. They did not go with C++ because it is proprietary Microsoft language and didn’t want to oblige to any future changes put out by Microsoft. While on the other hand, Java was much painful to write and time-consuming as compared to Python.

So they decided to follow Google’s footsteps and selected Python wherever they could owe the ease of writing & readability it brings. Whereas C++ is being used for performance-critical sessions.

Conclusion:

There are a few more which I haven’t discussed here like; Spotify, Reddit, DropBox, ET Cetera. So this, not the end, there are many sectors where Python is raising its flag and making the world a different place to live. It has an enormous impact on Healthcare, logistics, Space, and Aeronautics industry. Python has a massive market for the coverup. Do you want to discuss more about it, drop me an email: mayank@engineerbabu.com or for instant chat, click here.

Why hire Python developers from India uncommonly from a city like Indore?

• India is very cost-effective. If you hire a developer with $150-$200/hr USD in the USA, you can find a better developer with more skills in $25-$40/hr.
• The world’s prominent markets like North America, Australia, Singapore, UK, Eastern Europe, and South America are relatively costlier.
• Indore is a small city with a population of around 35 lakh, which provides excellent commutation with less traffic.
• A survey suggested that the export revenue of the IT industry is expected to grow 8-9 percent per year and reach 135-137 billion US dollars in the year 2019.
• The hassle-free investment in India attracts businesses to hire Python developers from India.

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