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.

New ideas and innovations are what make the world a dynamic place. Earth is constantly changing, science and technology being a driving force behind the rapid change in every facet of the world. Let us take for instance a boomer and a Gen z. There will always be a visible discrepancy in both generations. The development in the science and technology, Web development, and other aspects back in a Boomer’s time won’t be as robust as the developments in the Gen Zs’.

The way we code, the types of programming language, and the tools needed for those codes have changed. Nowadays, anyone can code because it’s now very easy. That shows how well web development has been modernized.

Back then when NASA wanted to explore the moon, the programming language, tools, etc. used then were a little more complicated than the modern ones, and not too many people knew about them.

For instance, in the Internet sector. We have come a long way in this particular sector. Gone are the days when we had a 2G network connection which was definitely not the fastest internet service. But slowly we moved to a 3G connection which is faster than the former. Then comes the 4G network. Now the major discussion around the world now centers around 5G connection which will be the fastest of the lots.

Impacts Of Web Development

The robust development this sector has undergone in the past years has been a joy to watch and admire. Of course, development never stops, it has no limit. So many breakthroughs, new discoveries and all that. It is safe to say that It just keeps going on and on.

Web development which is otherwise known as web programming basically involves the creation of web applications or developing a website for a private network (intranet) or the internet (which is also known as the World Wide Web).

When we talk about Web applications, we refer to social networking sites such as the popular Facebook, Twitter, YouTube, Reddit, etc, and e-commerce sites such as Jumia (a popular retailing website in West Africa), Amazon, eBay, among others.

Contrary to what everyone says, learning web development/programming is very easy. It just depends on your dedication and the availability of the right tools and guidance.

In order to build a web application, one needs to get familiar with “coding”. Coding refers to the act of writing a computer program by converting ordinary language into code.

Before the advent of python, Java, etc programmers make use of basic C code to develop a website.

Forms Of Web Development

There are two basic forms of web development. They are:

1. Front-end development that is otherwise known as Clients-side development and

2. Back-end development that is also known as Server side development.

1. Front-End Development

This refers to the construction of what the people see when they load your website or web application. This includes web designs, all the web content, and also how visitors react to the web page.

This type of web construction can be done by three basic codes and they are HTML, JavaScript, and CSS Code.

a) HTML stands for HyperText Markup Language. This code is used to write web pages. Everything you see on the website is written with HTML codes.

b) JavaScript: What this code does is to add functionality to a website. Not only this, but it also adds interactivity features to a web page. Programmers use JavaScript to develop different types of applications such as Chatbots, Web, desktops, mobile applications, machine language, amongst others.

As you will expect, this Language has numerous advantages and disadvantages.

The advantages include:

• It is very fast.
• The availability of its server is high
• It has numerous interfaces for better user experience.

The Cons of this language are:

• Bland security on the side of the client
• New features in this Language are not always supported by old browsers.

Generally, JavaScript is used to design web interfaces such as the interactive interface and the general web pages.

c) CSS code: This stands for Cascading Style Sheets. This computer code is used to design webpages. That is, the colors, fonts, scales, etc of a webpage.

2. Back-end Development

This refers to the construction of what goes on behind the web application. It makes use of a database that can be used to generate the front-end.

Codes used in building this includes:

a) PHP

b) Java

c) Nodes.js

d) Python

e) Perl

f) ASP.NET

g) Ruby on Rails, etc.

Let us briefly discuss a few out of these.

Java

Java is used by programmers to build Enterprise applications and applications of different types. Database connection, XML parsing, etc. are some of the tasks Java performs.

The pros of this Language include;

• You only need to write it once as it can run everywhere.
• High security
• It has abundant APIs

The cons include

• It is very slow and it consumes memory.
• It is not written specifically for desktop.

Ruby on Rails

Ruby on rail is an open-source programming language. It allows developers to create web applications faster.

Advantage include:

• It saves time and money.
• It works well with different Technologies.

Disadvantage include:

• It is slow
• It is not really flexible.

What is Python Programming?

Python Programming is arguably one of the best and dynamic programming languages out there. For beginners, it is always advisable that they grab the concept of Python Programming Language before any other computer language because its features are what makes it special.

Python Programming Language is not new in the coding world, it had its inception in the early 1990s. As I said earlier, Python Programming Language has been popular since the 1990s and even as at now, there are millions of people who are still learning this object-oriented programming language.

According to a survey conducted by a popular programming community known as the TIOBE INDEX, their survey shows that Python Programming Language is the third most popular programming language in the world.

Another survey shows that well over 1 million websites in the whole world are Python customers

So, what then is Python?

Python can be seen as an object-oriented and a high-level programming language that is designed in C.

In order not to confuse ourselves, what is the C Programming Language?

C programming language was developed in the 1970s. Despite this, C Programming Language is still widely known as the mother of all programming languages. This is as a result of its powerful nature to support many functionalities. And not only this, but it is also strong enough to interact with the kernel and the hardware unit.

Features of C language include

• Rich Library
• Extensible
• Recursion
• Pointers
• It is fast
• It manages memory efficiently.
• High-level language and
• Structured Language.

Now back to Python Programming Language, this programming language is useful when it comes to the creation of simple and complex operations.

Inbuilt in this computer language are modules and libraries that allow the program to support other types of programming language. Examples of these include Java, C++, C, JSON, amongst others.

Features of Python Programming

Python features are what makes it a very versatile, durable, and dynamic programming language.

When I say that Python language is dynamic, it means that we necessarily do not need to proclaim the type of variable because the python language is dynamically typed.

Let’s take for instance X=10.

The “X” in there can stand for anything such as int, String, etc.

Here are a few out of the numerous features of Python language.

1.  It is very easy to code: Python language is very easy to code, even to beginners. Unlike other languages such as Java, C++, JavaScript, etc that are somewhat hard to code, python on the other hand is very easy to code.

As an upcoming developer, it is always advisable to learn Python because it is a developer-friendly language.

If you can get access to the right tools and tutors, you would be a pro in it within a month.

2. It’s open-source code: When we call something “open source” in programming, we mean that the source code is available to the general public. Not only is it available to the public, but it is also free on their official website.

So, you can download it for personal use and you can also share it with other people.

3. It’s an object-oriented language: This particular feature is what makes Python language stand out among other programming languages. This means that it supports concepts of object encapsulation and classes.

4. Graphical User Interface (GUI) support: Graphical User Interface is a program that is supported by Python. This interface makes use of Python modules such as the PyQt5, PyQt4, TK, wxPython, etc.

By a stretch, PyQt5 is the most populous module that can be used to create a Graphical app using Python.

5. Portable Language: Python is quite a portable language. What I mean by portable is, when there is a working Python code for Windows OS, such Python code can also work on other operating systems (OS) such as Unix, Linux, Mac, Apple, etc without having to alter the code.

This shows just how versatile Python language is.

6. Python is an integration Language: Another important feature of Python language is the ability to integrate another programming language to it.

Languages such as C++, C can be integrated with a Python language.

7. Python is dynamic: Another feature of Python is how dynamic it is. Thus, Python is a dynamically-typed language. That means that variables are not determined in advance, but rather in run time. This helps to save time and rightly increase efficiency.

8. Extensibility: This feature shows that Python is a very extensive language. Python codes can be protruded into C++ or even C language. And not only this, we can as well compile those codes in C/C++ programming language.

Why Python Programming Is Ideal For Startups

Python users are growing daily, many people are beginning to see why it is one – if not the best programming language in the programming world.

For new and existing programmers, choosing Python as their new programming language shouldn’t be much of a problem because this section will expose you to why you should choose Python language.

1. Versatility
2. Excellent MVP development
3. It is ubiquitous
4. User-friendly
5. Security
6. Simplicity
7. Community Support
8. Scalable.

1. VERSATILITY

Python Programming Language is so versatile that it can be used in any web or application development. Python code works well in different development platforms such as Windows, Linus, MacOS, etc. Remarkably, it tends to reduce the cost of development while also saving time.

Python language is used in developing mobile or system games, prototyping, frameworks of web pages, Application used in graphics designing, Data Science, and most recently – in AI development, etc.

As a programmer, if you are developing an application that requires Machine Language (ML), Python Programming Language is your ideal language to use because it is a high-level simple language that makes prototyping super fast, as well as the machine learning algorithm.

2. SECURITY

From other programming languages that I have explained above, it could be deduced that most of them do not guarantee security. Over the past few years, Cybersecurity experts have used Python Programming Language to prevent Cyber attacks from Cybercriminals.  Python offers so many Cybersecurity functions such as malware Analysis, Testing tasks (testing for penetrations, etc), makes debugging very easy. For anyone new in the Cybersecurity field, it is recommended that they start with Python because it is very easy to understand.

3. USER-FRIENDLY

If there is one thing that has made developers fall in love with Python completely, that would be its cool interface and designs. Python is distinguished by its simplicity, neatness, beauty, how well structured it is, how easy to learn, and use it. For startups, learning about Python saves time and money.

4. COMMUNITY SUPPORT

One of the great things about this programming language is its popularity in the coding world. Mainstay developers as well as new developers absolutely love and support it. Python’s programmer community is arguably one of the very best in the world. This means that the Python community is very large.

Programmers in this programming community are readily available to assist you if you encounter a problem or while you are performing a complex task. The aim and object of this group are to improve Python’s functionalities and core features.

5. SCALABLE

Python language offers flexibility to a business venture. Flexibility in the sense that it can scale up and down quite easily. Apart from the fact that Python can easily be maintained, it also facilitates quick and healthy growth.

6. SIMPLICITY

Python is majorly characterized by its simplicity. Unlike other programming languages such as Java, C++, JavaScript, etc. Python is so powerful and yet so simple that even if you are new to programming, its elegant, and simple syntax will help you to quickly grasp the idea of it.

7. EXCELLENT MVP DEVELOPMENT

MVP here stands for Minimum Viable Product. Poor marketing strategies, lack of any viable business models are some of the reasons why businesses fail. Here is a quick fact, almost 70% of new Businesses always fail – is that hard to believe? I think not.  Minimum Viable Product or MVP is a kind of tool that is developed for business owners that would help in measuring customer’s behavior and responses towards a particular Product.

The feedback that the customers gave are then used to develop the final products that will in turn lead to a significant decrease in product failure. Minimum Viable Product is basically a tool for opinion polls. Usually, there are so many Tech stacks that help in developing MVP, they include Ruby on Rails, Python, PHP or Laravel, Node.js, etc. But for the purpose of this discourse, let us look at how Python helps in the development of MVP.

As we all know, Python language is a very dynamic language and it is also an interpreted language. It is useful in the development of Machine Language (ML) and also Artificial intelligence (AI), Chatbots, etc. This makes Python a wonderful tech stacks that empower MVP development.

8. IT IS UBIQUITOUS

When we say something is ubiquitous, we mean it is present everywhere, it can be found anywhere. And such is the nature of the Python language. Even if you are applying for a job, a lot of job listings require applicants to know a thing or two about Python – and that clearly shows how popular the program is.

If you are a computer science student, student of any course related to programming (data scientists, etc.) or just someone that is enthusiastic about computer programming, it is advisable that you know Python Programming Language before any other computer Language. Python is fast which thus aids development as compared to other languages such as Java, JavaScript, C, C++, etc.

Famous companies that use Python: In this section, I am going to list a few out of the numerous big companies that use Python Programming Language, and they include:

Google, Spotify, Quora, Netflix, Dropbox, Reddit, Facebook, Instagram, etc.

Conclusion

From the features and the importance of the Python language that I have explained above, it is not so hard to agree with me that Python is the best, cheapest, and fastest programming Language out there. With its dynamic nature and numerous modules and directory that would aid you in any given task. It is versatile, has a well-run community, user-friendly, scalable, and it is also stable. For new programmers and big companies, Python programming is surely a best bet.

The post Why Python Programming Is Ideal For Startups? appeared first on EngineerBabu Blog.

The programming language can be used for serving a lot of purposes in web development. However, the most popular Python Programming Language can be widely used for and is popularly used in AI (Artificial Intelligence). It is also used in scientific computing, statistics, education, and machine learning, making it most popular among and in-demand for Python Web Developers.

It is an open-source programming language, introduced in 1992, and now becoming the most popular and widely used platform. With the increasing demand for AI and ML applications, Python Web Development is considered first for coding such applications.

Python is a simple language to learn for beginners as well, which also increases the craze of language among developers to become Python Web Developer. However, to decide whether you should go for Python Web Development, you must analyze the pros and cons of Python Web Development.

Evidently, everything has some pros and cons with it, but going with Python Development and choosing it as your application development. Now, it becomes necessary for you to analyze the pros and cons of Python Web Development and how it will affect your project.

Python Programming Language is available with a large number of frameworks. It includes Django, Pyramid, Flask, Bottle.py, Web2py, CherryPy, and many more. The developers can effectively use these frameworks to develop a robust and feature-packed website.

The variety of Python frameworks are used by the web developers to build many renowned websites, some of them are;

• Spotify
• Reddit
• Mozilla
• Yelp
• Washington Post
• Netflix
• Instagram, and many more.

Source: Britwise Website

Along with these renowned names, companies like Uber, Dropbox, Pinterest also used Python Programming Language in their code base to write structural programs. It is one of the fastest-growing and third most profitable programming languages in the world. Let’s take a look at the pros and cons of Python Web Development.

Pros and Cons of Python Web Development

Let’s discuss the pros and cons of Python Web Development, but before that, I hope you all are aware of features of Python Programming Language. If not, then first make yourself familiar with the important features of Python. Now, it will become easier for you to understand the pros and cons of Python Web Development.

Pros of Python Web Development

1. Extensive Library Support

Python is available with the extensive support of libraries and contains a variety of codes. These various libraries fulfill the purpose of minimum coding and can be used for delivering regular expressions, unit testing, web browsers, threading, document generation, databases, CGI, image manipulation, email, etc.

Python Web Development becomes more easier as it requires minimal coding for heavy tasks execution. The Python Web Developers can build their prototypes and test their ideas using Python, and it ultimately results in saving a lot of time, human resource, and money as well.

It is such an easy to learn programming language, that one can learn Python quickly. If you have a basic knowledge of programming, you can easily grab the Python Programming Language by watching a few tutorials and can even build a project too.

2. Extensible Language

Python is an extensible language, which means it can be extended to other languages. Python allows its developers to write some of the codes in different languages like C or C++. This feature of Python, makes it the most suitable and handy development platform, especially for project building.

Due to this, Python Programming Language has become the most preferred language from enterprise software or apps development. It is a very appropriate language when it comes to assembling the old and new infrastructure fragments. It is very difficult to achieve assembling in complicated mobile apps, but with Python Programming Language and the efficient Python Web Developers make it possible.

3. Embeddable Platform

In contrast to extensible, Python Web Development is embeddable too. It allows you to place your Python code in the different languages source code, like C or C++. This allows the developers to add the scripting capability to the source code in other languages.

Python is one of the most convenient platforms to write and maintain codes without any problem. It is because the Python Programming Language doesn’t create any confusion, or require research and deadlocks. In Python, each segment of code functions smoothly and separately, which allows developers to handle situations in a guided manner and make the product development process quicker and more comfortable.

4. Multiple Frameworks

Python supports multiple frameworks and is one of the significant reasons that contributes to its popularity as the most preferred website development platform. As the frameworks ease the work of the Python Web Developers, which makes it the most liked platform among the developers.

From the variety of frameworks, developers can choose the most suitable framework for their project development to perform the project development smoothly and quickly. However, the selection of the frameworks depends on the requirement of the project.

5. Enhanced Productivity

The extensive support of frameworks, libraries, and easy to use language improves the efficiency of Python Web Developers. Such support allows programmers to deliver faster productivity than languages like Java and C++. With support, the developers had to write fewer codes as compared to other programming languages and achieve more results.

It is a wonderful platform that allows developers to build applications that can connect the language with the real world, such as AI (Artificial Intelligence).

6. High-Level Programming Language

Python is the most versatile and high-level programming language. It supports both Object-Oriented and Procedural programming paradigms. With this high-level language, the construction and execution of IoT applications can be easily possible. Python Web Development also allows easy development of games, radios, cameras, phones, and many more effective applications by using the Raspberry Pi framework.

Being a high-level object-oriented programming language, the Python Web Development supports code reusability, classes, and objects. A class allows the data encapsulation and functions as one.

7. Effectively Build Scientific and Numeric Applications

The Python Web Development platform is available with a variety of framework packages and libraries to develop the scientific and numeric applications. It also supports building tool kits like MayaVi and VTK 3d, a separate imaging library, and many other tools.

The most commonly used libraries and tool kits for building scientific and numeric applications are;

• SciPy (Scientific Numeric Library),
• IPython (Shell Command),
• Pandas (Data Analytics Library),
• Natural Language Toolkit (Library for Mathematical and Text Analysis),
• Numeric Python (Fundamental Numeric Package), etc.

8. Immensely used in Machine Learning and Artificial Intelligence

As the demand for Machine Learning and Artificial Intelligence is increasing rapidly in the market. As a result, more developers are aiming towards Python Web Development and incorporating them into various projects.

Python is the most appropriate programming language available. It has efficient Machine Learning packages, tools for result visualization, brilliant data analysis, and various other features that benefit the area of application development.

9. Application Scripting and Software Testing

Python is a very handy programming language due to its strong integration with C, C++, and Java. It is a very useful platform for customizing large applications and making extensions for them.

It is very efficiently used in Automation Testing. Python is the first choice of many QA Automation specialists to generate the learning curve. The language works well for those who are equipped with technical skills, as Python has a strong developer community, clear syntax, and excellent readability. Python is also equipped with easy to use frameworks for performing Unit Testing.

10. Portable & Easy to Debug

It is a very portable language, i.e., you can write code on a platform and even change the platform to run the code. However, when you write code in a language like C++, then you have to make some changes to make the code run on another platform. Therefore, Python Web Development is considered natural and very portable for its developers.

Python Web Development allows its developers to code only once and runs it anywhere- Write Once Run Anywhere (WORA). But make sure you are not including any system-dependent feature in your codes.

Python is an interpreted language. Therefore, its codes are executed one by one. This makes the code debugging easier for the developers. Hence, Python first compiles each statement one by one and then debug it.

11. Easy to Utilize

Python is an easy to understand and readable pro