In this post, we will discussing the top 10 reasons why you should learn Python programming language in 2021. This post follows some features based comparisons and some real world scenarios (job) based comparisons to other programming languages.
If you are one of the programming enthusiast, and wishes to learn Python but unconvinced. Let us convince you with the features and real world scenarios of Python programming language.
Simple and easy to learn
One of the logical reason why Python is an excellent choice for programmers/coders (especially for beginners) is its simplicity. Its simple syntax and high readability factor make it human-friendly language precisely beginner-friendly language.
Naturally, the learning curve of Python is way shorter than that of any other language like JAVA, C, C++, etc. Moreover, Python lets the programmers directly head towards the research part without worrying about the documentation. Conclusively, we can say that it couldn’t get simpler than Python.
Portable and extensible
High flexibility (Portability) of Python allows programmers to perform cross-language operations without any dilemma. That means a code developed in Python is often compatible with most the non-native platforms and can be integrated with Java, .NET components, or C/C++ libraries.
Whether it is Machine Learning, Big Data, Data Science, Artificial Intelligence or be it for coding and application development, Python has an immersive role everywhere. This shows the versatility of this programming language.
Popularity and high salary
As the sources reports, Python has an immersive rise in past few years as a highly-demanded programming languages all over the world. The simple linguistic nature and code of implementation of the Python programming language has made an universal appeal to the programmers/coders in this modern era.
With the increasing popularity, Python programming language also provides several job opportunities and promises high growth with high salary prospects. Programmer with Python skills can command high salaries in the industry.
According to Glassdoor, Python Engineers, Developers, and Programmers fetch some of the highest salaries all over the world. The average annual salary of a Python Developer in the US is around $95,849 which increases with the increase in skills.
Used with Data Science
Python is understood for being robust, scalable and provides extensible visualization and graphics options. Hence, it is widely used in Data Science. Python supports several popular libraries which boosts up the Data Science productivity. Some of them are; PyTorch, SymPy, Pandas, PyBrain, TensorFlow, etc.
Used in Machine Learning
Python is among the programming languages most preferred for Machine Learning because of its simpler syntax and its support of several machine learning libraries.
Huge Libraries and packages
Python features a range of libraries, packages, frameworks, and modules for data manipulation, statistical calculations, web development, machine learning and data science. It has NumPy, SciPy, Scikit-Learn, Matplotlib, StatsModels, Pandas, Anaconda, and so much more. Python’s functionalities and capabilities have significantly multiplied.
NumPy is one the earliest Python libraries that incorporates high-level mathematical functions operating on multi-dimensional arrays and matrices. It acts as the perfect choice for scientific computing. SciPy is the scientific equivalent of NumPy, and is equipped with everything a developer need for numerical integration and analysis of scientific data.
Simply, just think of the need – Python has library for it!
Python provides a vast collection of frameworks that makes it easier for developers in order to develop web applications. It comes with a wide variety of web development frameworks such as Flask, Django, Pyramid, Web2Py, Bottle, Hug, etc.
These frameworks help the developers write stable code and can automate the implementation of standard solutions, thereby reduces the development time. This helps the developers to focus on application logic and other critical elements.
Python has a massive community that can help a developer in errors or issues with the software. Developers can simply post their queries in the community forums, and community members will address it in real quick time. Python community are ever-ready to help developers.
Since, it is an open-source language, new progress is achieved in the community everyday. Coders regularly come up to enriching the language by developing new tools and libraries.
When it comes to testing or validating ideas/products, Python supports several built-in testing frameworks that help in debugging and speeding up workflows. Python supports dual testing (cross-platform and cross-browser) with frameworks like PyTest, Robot, Splinter, etc.
Scripting and automation
Python language can write scripts and automate workflows without human intervention. The feature setting scripting languages apart from programming languages is that scripting languages do not require any compilation; they are directly interpreted.
In Python, it is possible to write code in the script form and directly execute it.
These were the top 10 reasons why you should learn Python programming language. Please comment down below which of the features mentioned above influences you towards learning Python.
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