Why You Should Learn Python in 2025
Whether you are a seasonal developer or a pro, you might have touched upon or heard about Python at some point in your career. With its roots in 1991 starting its humble roots. Python version 2 and 3 are its major versions, where Python 2 is discontinued and Python 3.12 is the latest stable version. Python finds its application in almost all the fields of computing like Data Science, AI/ML, automation, Web development to name a few. As per the Tiobe index of programming for May 2025, Python is number one programming language used by developers. So if you are a developer and want to upgrade your skill set to a new programming language, or just a college pass out, who wants to build his career in programming in 2025 can learn python in 2025.
Here I will discuss about, why you should pick up Python in 2025
Ease of learning.
Python is beginner friendly language. To try it you have to just fire your Python Interpreter from your command prompt and start programming in it. To make hello world program you just have to type print('Hello World!) in the Interpreter and press enter, the interpreter executes this program. Now compare it with Languages like C, C++ or Java where you have to import library functions, define main function and then write the actual program logic.
Also, Python syntax is like plain English, so if you go through a Python program, you will feel like you are reading an algorithm in plain English Language. This makes learning python very easy.
Versatility
Python is a very versatile programming language. It has applications in Web Development, Data Science, AI/ML, Automation
Python in Web development
Python ecosystem offers versatile set of libraries and frameworks for web development. From micro frameworks like Flask, Pylons to full fledged batteries included frameworks like Django or just async api server Fastapi, to name a few.
Python in Data Science
Python provides many libraries for Data Science starting from inbuilt package statistics to more sophisticated packages like Pandas, Polars, Dask, PySpark for data analysis and Matplotlib Seaborn
Python for Automation
One can write automation programs using python in an intuitive manner. Python can easily replace shell scripting or Powershell for common os automation tasks.
Strong job market and career opportunities.
Python has a very good job market due to its flourishing popularity, and also it is expected to grow in near future. Python Developers earn really well with fresher salary starting from 6 Lakhs per annum for a fresher to growing around 20 LPA for an experienced developer with an 4-5 years of experience.
Extensive libraries and community support.
The main power of Python comes from its extensive standard library as well as many open source, community driven library. Many libraries are available for common use cases.
Here is the non exhaustive list for some popular, standard as well as third pary libraries.
Popular Python Development Libraries and frameworks
| Serial | Library Name | Purpose |
|---|---|---|
| 1. | Pyhton standard Library for email Handling | |
| 2. | smtp | Python Standard Library for sending and receivin emails |
| 3. | requests | Python Third Party Library for handling http requests |
| 4. | pandas | Python library for Data Analysis |
| 5. | polars | Abother Python library for Data Analysis |
| 6. | matplotlib | Python Library for visualization and plotting |
| 7. | seaborn | Python Library for visualization and plotting |
| 8. | flask | Micro Web Framework in Python |
| 9. | django | Batteries included Webframework in Python |
| 10. | fasthttp | Very fast web api Framework written in python |
Conclusion
Python is a very powerful programming language, with ever growing community of fantastic developers, so to learn python as a skill is always beneficial for career growth.