There are so many reasons to learn Python in 2024, from its versatility and ease of learning to its widespread use in diverse platforms.
Python is simple to code, and a widely used programming language. According to several developers’ surveys, Python has been consistently rated as the second most-liked language among developers. Presented here are top 10 reasons to learn Python in 2024, especially if you want to develop a career in software development.
Python is also considered a prerequisite for learning various AI-related courses. Many renowned institutes like Interview Kickstart teach Python as part of several of the curriculum for their courses including data science, machine learning, and Applied Gen AI to name a few.
Courses offered by Interview Kickstart provide interview prep training for clearing tech intensive rounds at FAANG companies.â€
Also read:Top Advanced Python Interview Questions and Answersâ€
Why Learn Python? 10 Reasons to Learn Python in 2024
Simple to Learn Python
One of the reasons to learn Python in 2024 is that it’s an extremely simple language to learn. It doesn’t work on strict rules or complex syntax so beginners can adapt to it quickly.
Since the code used in Python mimics the English language, programmers can create and perform codes at a much faster pace than in other languages. This language also provides an excellent introduction to coding to non-programmers.
At times during setup, programming languages can create issues such as configuration problems with Java or compiler issues with C++. However, Python doesn’t yield such issues.
While setting Python up, when prompted just check the box that says, “Add Python to PATH.†By doing so, Python will run from anywhere on your computer. â€
Versatility
Although Python is simple to learn and use, it’s considered to be an exceptionally versatile language with endless capabilities. Python allows coders to write programs for a variety of platforms and devices.
With Python, they can create desktop programs for Linux, Mac or Windows. Programming languages like R is used in machine learning but is a misfit for web development. PHP is used in development of websites but can’t be used in machine learning. On the contrary Python can be used in a range of applications.
Developers and data scientists can use Python everywhere from data mining, machine learning, scientific and numeric computing, ERP and e-commerce systems, web development, game development, GUI development and automation and scripting.
Comprehensive Libraries and Frameworks
Another reason to learn Python is its rich ecosystem of libraries and frameworks. These have been tailored for various fields of study including data science, back end development, machine learning and the likes. These libraries help simplify complex data manipulation, analysis, and machine-learning tasks.
Presented below are the libraries and frameworks with their respective use areas:â€
Data Science and Analysis: Pandas, Numpy and SciPy
Artificial Intelligence and Machine Learning: Scikit-learn, TensorFlow and Keras â€
Website Development: Djonjo, Flask, Requests and Beautifulsoup â€
GUI Development: Tkinter, Streamlit, PySimpleGUI, PyGUI, Plotly Dashâ€
Automation and Scripting: Numpy, Selenium and Pyautogui. â€
Portability
Python is an extremely flexible and highly portable language. In Python, cross-platform operations are simple to complete. The language is simple to combine with Java and .NET. and can easily integrate C and C++ libraries.
The interpreter which executes Python’s code is available in various platforms, including Linux, macOS, and Windows. This allows Python programs to run across different operating systems without requiring recompilation.
Python provides a unified interface that allows developers to write code that works consistently across different systems. For instance, file operations like os and shutil provide functions for file manipulation that work on all supported platforms. Similarly, socket and http libraries offer cross-platform networking capabilities.
Amazing Graphics
General thinking is that coding is designed for logical brains. However, Python defies this logic. Python comes with amazing game graphics, produces new images using deep learning, is versatile, and most importantly is so easy to use that even artists can code with it.
Located in the Graphics.py library are objects that provide graphics related support to developers. A few notable ones are GraphWin, Point, Circle, Oval, Line, Text, and Rectangle.
Data Visualization
Python comes with several inbuilt plotting libraries including Matplotlib, Altair and Seaborn for creating plots that can be easily presented and interpreted.
One can quickly handle and analyze complex datasets using these data visualization frameworks.
Matplotlib can be used to embed graphs into applications. Seaborn is used for statistical graphs. Altair allows developers to perform many kinds of data transformations and filtering while creating visualizations.
It’s Open Source
Python’s source code is available for the public for free to develop customized applications. Anyone from students, tech enthusiasts to professional developers can download the Python interpreter and source code from the official website of Python or repositories like GitHub and PyPI.
As Python is open source anyone can understand how it works, identify potential security issues with its use, or gain valuable insights from its setup.
Community Support
Python has a large community of enthusiasts, professionals and developers. This community contributes to its extensive libraries and frameworks, offers support to co-developers with solutions and resources, and drives constant innovation. With such vast support, it becomes easier to learn Python.
There are various online forums such as Python-forum.io, Bytes Python forum or Dani Web forum. So, if you have a question related to Python, just post it on any of these forums to get a solution. â€
Earn Higher Salary
Learning Python can make one eligible for a job in software programming and development. These roles usually provide higher salaries than many other professions. For example, according to Glassdoor salaries, the national average salary for a software engineer is $151,234 per annum.
In addition, enhancing your professional qualifications by learning a new language can give you more opportunities to negotiate for a higher salary.â€
Also read: Advanced Python Coding Challenges
Soaring Future Prospects
Right now, there is high demand for skills like artificial intelligence, machine learning and MLOps engineering. Python stands out as a language extensively used in a lot of AI domains. To add to that, its versatility, portability, cross-platform support and extensive libraries make it a language with immense future prospects.
As of now, many top tech companies extensively employ Python in their offerings. For instance, Python is used to make up 21 percent of the codebase of Meta. One of Amazon’s recommendation engines, Dropbox and almost all services Spotify offers are developed in Python.
From big tech companies to startups, all enterprises are utilizing the capabilities of Python. So, it’s the best time to gain proficiency in this language and enhance your demand in the job market.
FAQS: Top Reasons to Learn Python in 2024
Why is Python named as Python?
Python is named after Monty Python’s Flying Circus, a comedy series that premiered on BBC on September 7, 1969. When Guido van Rossum was creating Python, he was simultaneously reading the script of the comedy series. During that moment itself, he decided to name the language as Python, as he felt that it would create a feeling of intrigue among its followers worldwide.
What are the three properties of Python that makes it popular with coders and developers?
Python is a multipurpose, high-level, object-oriented programming language. It’s multipurpose as it can create applications, design websites and automate tasks. Python can be implemented on Windows, Mac and Linux making it accessible to a wide range of developers. Finally, it works on object oriented programming structures so that the classes can be reused multiple times.
â€Why is Python famous?
Python’s syntax is easy to use and implement. Even non-programmers can understand it. This feature of Python makes it a hit among all kinds of developers worldwide.
Where can one write Python?
Python can be written on Integrated Development Environment (IDEs) such as IDLE, PyCharm, Spyder, Jupyter Notebook and Visual Studio Code to name a few.
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