12 Reasons Why You Should Learn Python 2025 Geeksforgeeks

Leo Migdal

-Dec 4, 2025, 1:22 PM

12 reasons why you should learn python 2025 geeksforgeeks

In the fast-paced world of technology, learning a versatile and in-demand programming language like Python can open doors to numerous opportunities. Python has established itself as a powerhouse in various domains, from web development and data analysis to artificial intelligence and automation. As of 2025, the demand for Python skills continues to soar, with industry giants like Cisco, IBM, Google, and more leveraging its capabilities for their projects. If you're considering expanding your programming skill set, this comprehensive guide will dive into 12 reasons Why you Should Learn Python in 2025 is a smart move. From its user-friendly syntax and extensive libraries to its high demand in the job market, this article will explore how Python can empower you to thrive in the ever-evolving tech industry. Whether you're a beginner looking to start your programming journey or an experienced developer aiming to enhance your skill set, Python offers a wealth of opportunities to excel in today's competitive tech landscape.

Python is a high-level programming language celebrated for its simplicity, readability, and versatility. Created by Guido van Rossum and released in 1991, Python supports multiple programming paradigms and boasts an extensive standard library that simplifies coding tasks. Its large ecosystem of third-party libraries and frameworks further enhances its capabilities, making it a top choice for web development, scientific computing, data analysis, artificial intelligence, machine learning, and automation. Python's clear syntax and strong community support contribute to its popularity among beginners and experienced developers alike. Master Python with our "Python Programming Foundation - Self Paced" course at your own pace. Learn from scratch, work on hands-on projects, and earn a certificate upon completion.

Here are the 12 reasons why you should learn Python: its versatility, extensive libraries, data science capabilities, artificial intelligence (AI), machine learning (ML), web development, scripting, automation, cross-platform compatibility, open-source nature, ease of learning,... New beginnings are always exciting, be it starting college, joining a new sports team, selecting your first bike, or learning a new skill. But new beginnings can make us anxious, especially when these are related to our careers. Add to it the inexperience. A similar case can be made when someone decides and wants to learn to code. Which language do I choose, which one is beginner-friendly, how long will it take to learn the language, etc.

are some of the questions that pop up. When venturing into a new sphere the first thing to do is surf the internet and draw a map. In this article, we give you 5 reasons for selecting Python as your stepping stone into the new world of coding. Master Python programming with the "Python Programming Foundation - Self Paced" course by GeeksforGeeks. Learn at your own pace and level up your Python skills. Enroll now!

Python is a high-level programming language like Java, C, C++, PHP, Perl, etc. Unlike a lot of languages, Python programming is always in demand, credit can be given to it being one of the best languages for programming. According to the Stackflow study, Python is the fastest-growing programming language. There are plenty of programming languages that are beginner-friendly, yet it is clarity and simplicity that make it the preferred option even by expert programmers. Now you would be thinking why learn python? So let's understand why python can be the best option amongst others.

Python...The world's fastest-growing and most popular programming language not just amongst software engineers but also among mathematicians, data analysts, scientists, accountants, network engineers, and even kids! because it's a very beginner-friendly programming language. People from different disciplines use Python for a variety of different tasks, such as data analysis and visualization, artificial intelligence and Machine Learning, automation, etc. You can write Python scripts to automate a lot of boring tasks such as copying files and folders, renaming them, and uploading them to a server. Python is not just used by software developers but also it is used by other professionals to automate their tasks and make their life easier. Python is a multi-purpose language, you can use Python to build web apps, mobile apps, and desktop applications as well as software testing and even hacking.

All the above reasons are enough to tell you why Python is the most popular language among programmers and why you should learn it. Now the question is how to learn Python? where to start Python? how to become a Python developer? How much time it will take to learn Python? what topics you should cover while studying Python?

what are the Python libraries or frameworks? As a beginner, you will be confused about what should I choose first. Should I learn all the concepts from a book or should I go for an online tutorial? Let's discuss the entire roadmap to becoming a Python developer. Before you start your journey with Python you should have a clear goal in your mind, why do you want to learn Python? What exactly do you want to do with this language?

Do you want to automate some dull or boring tasks, or do you want to make some web applications? Most beginners make a common mistake they start learning a language just for the sake of learning it without having a goal in mind. Keep in mind that learning a language is a different thing and using it to build some real-world application is different as a programmer, your purpose should be to be able to build stuff... So firstly explore each field and find out where your interest lies. We have already discussed various fields where Python can be used. So, first of all, decide what exactly you want to build, once your goal is decided, stick with it and move to the next step i.e.

to find out resources. There is plenty of documentation and videos available online so it's very confusing where to start learning this language especially when Python can be used in various fields. Understand that a single book or video course is not enough to teach you everything in Python and initially as a beginner, you will also get overwhelmed with so many concepts but have patience,... Below are some resources we have filtered out to start learning Python but make sure that whatever resource you prefer, you code along with it. Whatever resources you prefer, decide a deadline to finish the course. You can finish the course within 10 - 11 weeks if you are a beginner and dedicate 2–3 hours every day to learning.

Now let's go to the next step and check the important topics in Python, that you should cover. Keep in mind that there are so many things to learn so once you finish the topics start exploring the Python language on your own. Believe it or not, Python has become one of the hottest topics in the field of programming in the past few years and has been widely used among big tech giants and developers today. Especially today when it’s all about data in almost every field, Python is giving a glorious touch to data mining, machine learning, and many other fields that were not common earlier. It is commonly known for its vast set of tools, and libraries that make it go smoother than any other language today. Therefore, these specifications make it one of the most excellent and a language full of opportunities in the market today.

As per records, Python is the second most widely used language and the simplicity of its syntax has enabled quick adaptability among non-programmers as well. Not only this as per a recent survey Python has also surpassed JAVA in terms of popularity around the globe, and interestingly today, if you’re reading this blog then you might be looking for... Here are the 7 reasons why you should learn python in 2022. Did you know? Today Netflix, Google, Facebook, Amazon, and many more big tech giants are using python for the past few years. The sole reason behind this adaptability is its capability to scale and fit in AI, ML, Data Science, etc.

and this has strengthened their inner system to scale their businesses. This has appropriately set a benchmark in terms of salary growth and better career opportunities. If you’ll see the figures, it has surpassed R, C/C++, PHP, C#, JavaScript, and Java today throughout the world and so does the doors opening for this language, and will continue to be at... You may also find that the average salary bracket of a Python software developer is somewhere around 4.2 LPA to 10 LPA. Not only this, this figure is rapidly changing and will continue to rise more in the coming future. When the world was fighting against the COVID-19 pandemic with chaos and layoffs from jobs, Python rose among all just like a strong pillar, and in fact, it was one of the highly paid...

Big Data is the most valuable commodity in present times! The data generated by companies and people is growing so much that the data generated would reach 175 zettabytes in 2025 whereas it is around 50 zettabytes currently. And Python is the best programming language to manage this Big Data because of its capacity for statistical analysis and its easy readability. Well, there are many more reasons that contribute to the success of Python. One of these is its library support for data science and analytics. Many top companies such as Google, Facebook, Mozilla, Quora, etc.

use Python for managing their data. But let’s study all these reasons in detail to understand the popularity of Python and its astounding growth rate in Big Data Analytics. Python is an open-source programming language that you can use for free. In fact, you can download the recent version of Python directly from their official website python.org. And Python is easy to learn as well! It is simple with an easily readable syntax and that makes it well-loved by both seasoned developers and experimental students.

The simplicity of Python means that Big Data Engineers and Data Scientists can focus on actually managing the big data and obtaining actionable insights rather than spend all their time (and energy!) understanding just... That’s one of the reasons to use Python for Big Data! Python is very scalable in handling large amounts of data which is a necessity where Big Data is concerned. Other programming languages that are used in Big data Analytics like Java and R are not as flexible and scalable when compared to Python. If the data volume is increased, Python can easily increase the speed of processing the data which is tough to do in Java or R. Python is also extremely flexible.

and supremely efficient. It allows developers to complete more work using fewer lines of code. The Python code is also easily understandable by humans, which makes it ideal for Big Data analytics. Python is already quite popular and consequently, it has hundreds of different libraries and frameworks that can be used by developers. These libraries and frameworks are really useful in saving time which in turn makes Python even more popular (That's a beneficial cycle!!!). Many Python libraries are specifically useful for Data Analytics and Machine Learning.

12 Reasons Why You Should Learn Python 2025 Geeksforgeeks

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