Top 10 Reasons Why Job Aspirants Should learn Python in 2022

Why should job aspirants learn python in 2022? Here you can find the top 10 reasons for python

Python is one of the fastest-growing programming languages. It is widely used in various business sectors, such as programming, web development, machine learning, and data science. It is a high-level, object-oriented programming language with built-in data structures and dynamic semantics. Python finds applications everywhere. Python supports different modules and packages, which allows program modularity and code reuse. The language has become so popular in recent times that aspirants are flocking to learn the language and acquire Python programming skills.

We have listed the top reasons why to learn Python:

Fastest growing Programming language: Python is currently one of the fastest-growing programming languages in the world. Python is known for being robust, scalable, and having extensible visualization and graphics options. Hence, it's widely used in Data Science. Python has vast and multiple uses, and its recent turnabout with Data Science has given it a boost in the tech world.

Flexible and Versatile: Python is highly scalable and extensible. This language tends to be quite flexible and versatile when it comes to its uses. This flexibility of Python allows it to perform cross-language operations without any nuisance. Apart from NET components, you can also use Python to invoke C/C++ libraries. And it is so versatile that it can be used for Data Science, Artificial Learning, Data Mining, Web development, Embedded Systems, gaming, Machine learning, etc.

Career Opportunities and Salary: Python language provides several job opportunities and promises high growth with huge salary prospects, etc. Since Python rules the development and Data Science fields at present, it promises a high growth graph with huge salary prospects. Python Engineers, Developers, and Programmers fetch some of the highest salaries in US.

Active Community: Python has a massive community that can help with programming errors or issues with the software. Its popularity and functionalities are also increasing. In case of any coding-related or Data Science issues, you can seek help from the Python community. And there is a vast number of users in Python, which resulted in several active communities of Python coders. Since it is an open-source language, every day a new goal is achieved in the community. Developers and coders regularly contribute to enriching the language by developing new tools and libraries.

Easy to learn, read and write: Python is easy to learn because it's easy to read, write and understand, thus making it a popular pick when it comes to programming languages. It doesn't contain much-hidden files and rather has a simple syntax as it's written in simple English, which makes it easy to write, read, understand, and learn. Naturally, the learning curve of Python is way shorter than that of many other languages. Python is widely used in both development and Data Science fields for web development, text processing, data analysis, and statistical analysis, among other things.

Data Visualization: Python is inclusive of a lot of data visualization tools, that enable it to break down complex problems into a simpler form. It packs in plenty of options for data visualization. These data visualization frameworks can easily make sense of complex datasets. Not just that it also uses graphs, pie charts, graphical plots, web-ready interactive plots, and other representation methods to show your findings.

Scripting and Automation: Python is great for scripting; it makes no difference that it's a programming language. The feature that sets scripting languages apart from programming languages is that scripting languages don't require any compilation. You can directly write code in the script in Python and execute it. Furthermore, the machine will read, interpret, and run the required tests, perform error-free, and use it multiple times. The Linux Journal hails Python as the best programming and scripting language.

Libraries: When it comes to Libraries, no one can beat Python. Python has a range of libraries, packages, frameworks, and modules for data manipulation, statistical calculations, web development, machine learning, and data science. No other language can boast of useful libraries such as Python. The programming language comes with the choicest assortment of libraries that come in handy for development and Data Science tasks. It has NumPy, SciPy, Scikit-Learn, Matplotlib, Pandas, statsmodels, etc.

Numpy: NumPy is one of the earliest Python libraries that incorporates high-level mathematical functions. Pandas is another popular Python library that was built on top of NumPy.

Testing Frameworks: Python supports several built-in testing frameworks that help in debugging and speeding up workflows. Python supports both cross-platform and cross-browser testing with frameworks like PyTest and Robot. There are also other testing frameworks like UnitTest, Behave, and Lettuce.

Web Development: Python provides a vast collection of frameworks that makes it much easier for developers to develop web applications.  These Python frameworks help developers write stable code much faster. Python comes with a wide variety of web development frameworks such as Django, Flask, Pyramid, TurboGears, Web2Py, Bottle, CherryPy, Hug, Falcon, Sanic, FastAPI, etc. Apart from this, Python frameworks can also perform web scraping tasks.