Top Reasons to Choose Python Programming For Development

Python is one of the most popular programming languages and is gaining more popularity with each passing day. Python is a general-purpose programming language focusing on code readability and indentation. Python is a dynamically typed and garbage-collected language and supports multiple programming paradigms. Python development is highly used for server-side web development, software development, and system scripting.

Python programming language can also be used alongside software for creating workflows. Python can also connect with database systems and is used for reading and making changes in the file. The programming language fits well in handling big data and performing complex mathematics. It also comes in handy for production-ready software development or rapid prototyping.

Python is growing as a developer’s choice because of its simple syntax and its support for multiple platforms like Mac, Windows, Linux, Pi, Raspberry, and multiple others. Python development includes syntax that enables developers to write programs with fewer lines than other programming languages. Python works on an interpreter system which means that the code can be executed as soon as it is written. Because of these prototyping can be done real quick. Because of this Python development company is high in demand. Here is a report from Statista, showing Python as one of the top programming languages.

Reasons to Choose Python Programming Language

There are plenty of reasons that justify the use of Python programming language. You will join the league of Python lovers once you learn all the best reasons.

1) Easy to Use

Python is considered one of the easiest languages to learn and master by developers. Well, not just that using the language is quite convenient. The language is very accessible and has a very simple syntax and avoids any complexities. It lays a higher emphasis on natural language. Because of the ease of usage, Python codes can be written and executed easily and faster compared to other programming languages. Fresher-level developers can also read and understand this language because of the simple syntax system. Python is a general-purpose language and developers can experiment by changing the codebase.

Also Read: Top Reasons to Use Django framework for Web Development Project

2) Supportive Developers Community

Python has been in the market for more than twenty years now. It is a long span of time to grow a community and an active one as well. The language has spent too much time in the market and has matured in a way that developers in the community have a solution to every problem that can arise. Python developers from the fresher level to the expert level have an assurance that they can share new achievements as well as issues with the community of developers and get assistance.

It has a bunch of documents, guides, and video tutorials available for Python programmers to get knowledge and learn skills and gain expertise in this sector. There are plenty of students who are introduced to computer science through Python language only. A programming language lacking the support of developers and documentation won’t have a long or bright future. There is no such trouble with python. Python developer not just has a huge community but an active one as well.

Any developer with some issue gets immediate support from developers of all levels from freshers to experienced ones Getting proper help on time plays an important role in project development. Delays in looking for answers can prolong the timeline of the launch and upset the clients.

3) Plenty of Python Libraries and Frameworks

Python has huge community support and corporate sponsorship, it is fact very well known. Along with that, the framework also has plenty of libraries and frameworks. Python developers can choose their favorite framework and use it to save time and effort during the lifecycle of development. There are various cloud media services that offer cross-platform support through library-like tools. This is highly beneficial for the developers. Libraries with selected focus are also available with natural language processing and machine learning apps. There are different libraries and frameworks available for Python like:

• Django for server-side web development
• SciPy for engineering apps, mathematics, and science
• BeautifulSoap for XML and HTML parsing
• NumPy for scientific computing
• Matplotib for plotting graphs and charts

 4) Big Data, Machine Learning, and Cloud Computing

Big data, cloud computing, and machine learning are some of the latest trends in computer science. It allows several organizations to transform and improve their processes and workflows. Python language is among the most used tools for data science and analytics. Several data processing workloads work by the Python language. Research and development are done in Python language because apps include easy analyzing and organizing the usable data. It’s not just that, a plethora of Python libraries are used in several machine learning projects day to day.

5) Expressive As A Language

Python as a programming language is a very expressive language. A single line of code in Python can do more than a single line of code in many different languages. There are uncountable benefits of using expressive language. One of the highlighting benefits is that the fewer lines of code you write, the faster will be your development. Lesser code also means lesser and quicker debugging and ease in code maintenance.

6) Batteries Included

One of the best features of Python is that it is a complete language, batteries included. The basic concept is that when you pick Python, it comes packed with everything that you need in the real world without having the need to install any new libraries. This is why Python standard library comes packed with modules that are used for handling emails, databases, web pages, GUI development, operating system calls, and many more. Say for example, by using Python, you can write a web server for sharing the files in a directory with just two lines of code. The need to install libraries for handling network connections and HTTP is entirely eradicated as it is already available in Python.

7) Cross-platform

Python is one of the leading cross-platform languages. Python works on plenty of different platforms like Mac, Windows, Linux, and many more. Python is interpreted; hence, the same code works on any platform with a Python interpreter. Most of the current platforms have an interpreter these days. Plenty of versions work on Java and .Net allowing even more platforms to work on python.   

Factors to Consider While Hiring Python Developer

Once you know the best reasons, the next step is hiring the best Python developer to work on your project. Here are some of the factors to consider while hiring a Python developer.

1) Knowledge of Python Programming Language

The basic thing to check while hiring a python developer is to check their knowledge of the language. It is important to check that the developer you are about to hire uses the latest tools, frameworks, libraries, and front-end technologies, and does clean coding. These are some of the must-haves for the Python programmers you want to hire.

2) Experience of the Developers

Experience is an extremely valuable asset in the development world. An experienced developer will work better on your project than compared to an inexperienced one. An experienced developer would know how to deal with complicated projects, integrate difficult features into the app, and deploy a bug-free project.

3) Creative Thinking

Being creative helps in developing unique apps and websites. It helps in creating out-of-the-box projects that impress clients and attracts users as well. Ultimately, this is the best thing for the project to have a creative mind working on it.

4) Encryption

One of the most important things to have in website development or mobile app development is to make it safe and secure. Users feed their data and important facts and as a Python developer, you need to create a website or backend for the app, which is secure. Encryption is one of the important factors for data security. Developers should also know about secure decryption as well.

5) Bug Fixing

A good developer is not the one who creates a bug-free app. Instead, a good developer is the one who checks their product after development, finds bugs and glitches, and fixes them. It is very important to deploy a project which is free from errors and issues. No user will like to use an app or a website that is full of issues. So, make sure to hire a dedicated Python developer, who has the skill of debugging.

6) Understanding the Demand

Developers must understand the market demand and must also have the skill to understand the project requirements laid down by the clients. With clear understanding only, the client will get delivered with whatever is desired from his end.  

Where Can Python Programming Language Be Used?

1) Web Development

Python is the best choice for the quick development of web apps. With trending frameworks like Django, Flask, and Pyramid, developing websites at incredible speed becomes possible. It is highly used on the web development server side. Python is also apt for interacting with databases and developing the rest of the API services.

2) Data Science

At one point, Python was just used to build apps and automate tasks by writing scripts. In modern-day, trends in data science have skyrocketed like never before. The people working in the sector of Data Science depend highly on Python. The basic reason behind this is the advantage that Python comes with. Python is a simple language, has the ability to compute huge calculations easily, and a massive community it has.

 Popular Python frameworks and libraries for data science

• Tensorflow, Keras
• Scikit-Learn
• Matplotlib, Seaborn
• Numpy
• Pandas

3) Artificial Intelligence

AI is huge in the current times. Computers and machines were used to do calculations at lightning speed. In today’s time, big organizations and researchers are working really hard in developing intelligent systems. These systems have the ability to conduct all the tasks that humans can with the help of artificial intelligence.

For developing artificial intelligence applications, Python is considered the best option. Machines these days have the ability to understand human emotions and natural language. They also have the ability to mimic some actions which humans can perform which was not possible a few years back. Python is a popular programming language that is helpful in Artificial intelligence app development.

Python libraries for AI

• Microsoft Cognitive Toolkit
• Keras
• OpenCV (Open-source computer vision)
• NLTK – (Natural Language Toolkit)

4) Automation

Python can really make life easier as it can automate different tasks like scraping off a website to collect data, automating monotonous office tasks, and automating test cases in software development. Python can access and read different types of files which gives the opportunity for time-saving by automating all the repetitive tasks.

Python libraries for Automation

• PyUnit
• Selenium Python
• PyTest
• Robot Framework

Final Words

There are plenty of programming languages available in today’s time. C, C++, Ruby, C#, and Lua, Java are some of the leading programming languages. This makes choosing the programming language for your project even more difficult. What makes Python the best pick is that it supports multiple platforms and has a community of vast Python developers that keeps on growing.

Python attracts plenty of new users every year. It seems fit to develop small apps and rapid prototypes. It works equally well for large-scale apps as well. It is equipped with a powerful and easy-to-use graphical UI toolkit, web programming libraries, and plenty more. The best thing along with these perks is that it is totally free.