If you are looking for reasons to learn Python, then your search stops here! Let us get to know why is Python a great language to get started with your coding journey.
Python is one of the hot topics in today’s world. It is a high-demand skill these days. From Data Science to Artificial Intelligence, it is the one skill that plays a huge part in the present technology as well as in the development and innovation for the future.
Summary of the Article:
- Python is a dynamically typed object-oriented programming language that is used across various domains.
- It is versatile and can be used for data science, machine learning, and web development.
- This beginner-friendly language was developed by Guido Van Rossum in 1991 and since then, it has seen a large adoption and an actively growing community.
- Python programming language has a vast ecosystem of libraries and frameworks that make it suitable for a large number of software development fields like web development, AI, data analysis, etc.
Reasons Why To Learn Python In 2025! Read Below!
Here are the following reasons to learn Python in 2025. Let us get to know why is Python a great language to learn.
It Is Easy To Understand
Python is a user-friendly programming language. It has a simple and readable syntax that makes it easier for Python developers to understand the language and write code in it. If you are a beginner at programming, python is definitely the language you should learn.
Once you write the code, you can run it to check for errors. It is concise to read and comfortable to write as it follows the English syntax.
Let us analyse the syntax of python with the help of a simple code example. The program to print the factorial of a number is given below.
num = int(input("Enter a Number: ")) #take user input
fact = 1 #initialize the value to 1
if num<0 or num == 0:
print("The factorial doesn't exsit!")
else:
for i in range(1,num + 1):
fact = fact*i
print("The factorial of",num,"is",fact)
You can see how readable the syntax looks. Python uses indentation instead of {} curly braces to represent a block. Check out the output below!
Furthermore, Python has a robust library ecosystem that abstracts the majority of your tasks with just a few lines of code, making your project appear even more manageable.
It Is Versatile
Python is a versatile language. From small and simple problems to large and complex ones, python can be used for almost anything.
This highly versatile programming language can be used for projects and tasks like:
- Artificial intelligence
- Machine learning
- Deep learning
- Data Science
- Application development
- Computer graphics
- Web development
One of the features of Python programming language is that it can be integrated with various other programming languages. In other words, python can be implemented using other programming languages.
Jython and CPython are two such examples in which Python is integrated with Java and C programming language respectively.
Python has a wide range of applications. You can work on a range of projects, such as online scrapers, websites web apps, and libraries or plugins that add functionality to other applications.
Python Offers High In-Demand Job Roles – Perfect Job For You!
Have you ever been fascinated by how Netflix recommendations work? Has it ever left you wondering how YouTube suggests your content based on your interests?
Well, python has been a crucial part of all this which gives us our next reason to learn Python programming. Python job roles are in high demand these days. Many large firms like Dropbox, Netflix, and Facebook, utilize Python.
Because of the expanding use of emerging areas like Artificial Intelligence, AI, Data Science, and Machine Learning, some of the largest companies in the information technology world, such as Google, Facebook, Microsoft, Amazon, Netflix, and Uber, are eager to integrate them thoroughly into their services.
Developers and programmers practicing Python can also work as freelancers. Being a Python developer and gaining skills in the language brings a lot of career opportunities to you as skilled Python developers are in high demand in the job market.
Python is the only programming language that can do all of this and much more.
It Is Making Its Way To The Top!
If you are still wondering why to learn Python in 2024, one of the reasons to add would be its increasing popularity.
The programming language is gaining popularity at a very fast rate. It is an open-source language that has an active and constantly growing community of developers.
You can join the Python community through various mediums like Python LinkedIn Community, Reddit, and Discord, and even sign up for newsletters to stay updated.
It is one of the fastest-growing programming languages of the era! Python’s popularity stems in part from its utility in data science; as fields such as machine learning, data modeling, and artificial intelligence expand in popularity, so does the demand for Python-related expertise.
Python Includes Vast And Rich Libraries
A Python library is a set of interrelated modules. It contains code bundles that can be reused in a variety of apps. It simplifies and facilitates Python programming for programmers.
Python’s popularity is fast expanding, and it has been adopted by a large number of organizations, in part because it is an open-source language with a large number of libraries. Because Python is a general-purpose language, it provides you the freedom to create your functionality.
Python is well-organized, and its libraries come with documentation, so you can get started programming right away. If you’re just starting with numerical operations, learn How To Square A Number In Python for quick mathematical computations.
You’ll find example code for several libraries, so you can see how the functions are used. So, do not forget to check out Python documentation before you start writing code.
Some Real-World Applications of Python Programming
Let us now look at some real-world applications of Python that further prove the significance of Python in the era of emerging technologies and industry trends.
Python for Web Development
Due to its extensive set of web frameworks, python programming is a popular choice in web development as a server-side language. Django and Flask are two of the well-liked web frameworks of Python for server-side scripting.
While Django can be used for more complex and larger projects, Flask is a good choice for the development of small-scale applications. Moreover, you can use Python for building graphical user interfaces as well.
Using Python for web development gives you seamless and asynchronous control over your projects. Moreover, its vast ecosystem of libraries and modules also gives it an advantage over other programming languages.
Python for Data Science and Machine Learning
The world of Data Science, Machine Learning, and AI solutions is growing rapidly and Python has established its dominance in the domain. This is one of the main reasons to learn Python programming as it has proved its ability to develop efficient solutions in the era of emerging technologies.
Many tech companies are working on innovative AI solutions using Python programming which makes it necessary to have Python in your skill-set. It is popular among data scientists and Big Data analysts as well because of its amazing libraries like matplotlib, numpy, scikit-learn, PyTorch, TensorFlow, etc that support data visualization, data mining, and other operations.
If you are interested in this field, then you might be thinking about ‘how long to learn Python for data analysis?’ To answer this, it may take you around six to twelve months to fully grasp the fundamentals and get some hands-on practice with Python in data analysis.
Python for Game Development
Due to the large set of libraries and modules, python also finds an application in game development. You can use Python to build games like chess, tic-tac-toe, and other simple 2D games using this multifunctional programming language.
Its library, Pygame, makes the game development process easier and allows both beginners and experienced developers to build efficient games.
Python for Artificial Intelligence
As AI is continuously progressing, newer tools for development are needed. Python is one of the most preferred languages for AI development. Libraries like NLTK (for Natural Language Processing) and spaCy, are used for AI development in Python.
You can build efficient and comprehensive algorithms using Python for AI and Computer Vision.
Python for Automation and Scripting
Another application of Python is that it can be used for tasks like automating repetitive tasks. You can work on large data set automations updating files, or even extracting data. Web scraping can be done easily using Python programming.
Moreover, you can also use the language’s extensive library for system administration tasks and network programming. Its web frameworks and libraries like ’socket’ can be used for this purpose.
How is Python Different from Other Programming Languages?
Python is a dynamically semantic, interpretable, object-oriented high-level programming language. To gain a deeper understanding of Python’s structure, check out our guide on Different Kinds of Python Data Types and how they work. The Python interpreter and its large standard library are free to download and distribute and are accessible in source or binary form for all major platforms.
Let us compare Python- which is an interpreted language with compiled languages like Java and C++ based on three different factors.
Learning Curve
Python is a very easy-to-understand language because of its simple and readable syntax. This feature of Python attracts many novice programmers into learning the language. It is straightforward and provides an easier learning curve.
On the other hand, compiled languages like C++ and Java have a steeper learning curve, especially for new programmers. These languages have in-depth concepts, extensive features, and a comprehensive programming approach.
Performance
Since, Python is a dynamically typed programming language, and is interpreted, its execution is slower than many low-level programming languages.
In the case when you need faster execution of your programs, Java and C++ have a clear advantage over Python.
Use Cases
As we discussed above, python finds its real-world use cases across a vast number of domains. You can use it for server-side scripting operations, setting up a machine learning model, data analytics, and performing AI and computer vision tasks.
Java, on the other hand, can be used to create enterprise-level applications and for mobile app development. It is also widely used for large-scale systems. The role of C++ can be seen in game development, system programming, and high-performance applications.
I hope by now you have learned enough factors and reasons why to learn Python in 2024. Moving forward, it is now time to discover how to learn Python and where to learn Python.
Also, if you’re curious to learn other programming languages like C then read our article on “Start Learning C In 5 Easy Steps”
Are You Ready To Explore New Paths With Python?
So, let us begin our exploration!
Many beginner programmers ask, “Why is Python so hard to learn?” Well, it is not! However, if you are finding difficulties in learning Python, you may not have the right roadmap or resources to start your journey in Python Programming.
So, let us know more about how you can start your Python journey as a beginner!
How to learn Python? Follow these 5 easy steps!
Step 1: Know Your Basics
When you start learning a new language, the most important part is to know the basics. Start by gaining knowledge about what the language is and what is coding in Python. Keep exploring new questions and try to clear your basics.
Many beginners skip learning the fundamentals and move on to the coding part as soon as they begin. But shortcuts do not get you anywhere. It is crucial to have the knowledge of the fundamentals so that it becomes easy to solve any problem you encounter when you move to the coding part.
You can refer to the Python documentation to clear your concepts about the data types, keywords, in-built methods, and their working. Additionally, understanding how to manipulate data structures is crucial—learn How To Find Index In List Python to efficiently manage list operations in Python. Learn about the flow of control in Python by understanding conditional statements and loops.
This will help you to fully understand the syntax and logic behind the programming.
Step 2: Take Baby Steps!
That’s right! When learning Python or any other programming language, start with smaller problems.
Do not rush! Take your time!
Working on smaller problems will help you understand the code and the programming language in a better way. It would be less complex to solve the errors in the larger and more complicated projects later as you will already be familiar with how to cross obstacles occurring in the project.
You can start by writing code using a pen and paper, write pseudocode, and develop your logic. Test your paper code and try to come up with a different approach to a problem. This way, you will develop your problem-solving skills.
Step 3: Maintain Consistency – Practice!
Once you start solving problems, don’t stop. Keep going!
Even if you work on one or two problems a day, it is beneficial. Practicing your skills in Python will help you get familiarized with Python efficiently. Try to create and write your own code. Come up with new problem statements and work on the solutions.
You can practice your Python code on various online coding and competitive programming websites.
3 well-liked coding platforms are listed below:
Step 4: Build Projects using Python Programming
Once you think you have grasped the concepts and have practiced writing codes and solving problems, it is time to build your projects using the Python programming language.
If you’re looking for inspiration, explore our list of Python Project Ideas for Beginners to start building real-world applications.
Projects are a great way of applying what you have learned, reflecting on your logic building, and developing some great solutions! You can start by working on smaller projects and then move to larger projects as you get comfortable with the language.
One of the advantages of working on Projects is that you can showcase your skills on your resume or portfolio, hence attracting job opportunities.
Here are some exciting Projects You Can Work On Using Python:
- Data Visualization Dashboard
- Plagiarism Checker
- Web Scraper
- Sentiment Analysis
- Simple Game Development
Step 5: Look for Internships!
Now that you have learned the Python language and completed projects in Python, it is time to gain some real-world hands-on experience in the programming language.
Internships help you gain work experience and learn from industry professionals and mentors so that you can become better software developers. Having an internship experience is also valuable for personal growth and for gaining industry exposure as well.
Moreover, an internship project or work experience enriches and strengthens your portfolio as a software developer and helps you stand out to recruiters as well. You can find suitable internships on LinkedIn, Glassdoor, or other freelancing platforms.
Well, now you know how to learn Python. What steps should you take to kick-start your Python learning process?
The Best Resources Available For Learning Python
Behold! We bring to you some amazing Python resources so that you can start smoothly. Check them out!
Python Certifications
1. Python for Everybody Specialization – Coursera
The specialization course is offered by the University of Michigan and is available on Coursera. It is a beginner-friendly course.
This Specialization expands on the popularity of the Python for Everyone course and uses the Python programming language to present basic programming concepts such as data structures, networked application program interfaces, and databases.
You also receive a shareable certificate on successful completion of the course. Isn’t it awesome?
2. Google’s Python Class
What’s more amazing than learning python from one of the most reputable tech firms in the world?
Google uses Python in a variety of its operations. Good news! It has a python learning course for you as well!
Google’s Python Class is a free course for anyone who wants to learn Python but has little programming experience.
The course comprises textual materials, lecture videos, and a variety of code activities to help students practice Python programming.
3. Microsoft Induction to Python
How can we forget about one of the leading global tech giants – Microsoft?
Well, in this course offered by Microsoft, you will learn how to write basic Python code, including how to interact with console input and output and declare variables.
You will also be able to learn how to run scripts and construct your own apps using the Python interpreter.
Online Coding Platforms
1. HackerRank
HackerRank is an online learning platform for programmers and developers. It has thousands of programming problems in various programming languages like Python, Java, C++, SQL, etc where you can practice your problem-solving skills.
Solve problems and gain badges to add to your profile. You can also take skill certification tests that add credibility to your skill set. HackerRank is also a portal that can help you find the best tech companies and job opportunities as well.
2. LeetCode
LeetCode is another online programming platform like Hackerrank but has more diverse and slightly difficult problems. It is like an advanced programming platform.
LeetCode is an excellent choice if you want to solve problems related to data structures and algorithms or participate in contests and coding competitions.
Forums and Communities
1. Reddit
Reddit is an online platform where you can find communities for almost every programming language. Post, discuss, and engage in conversations with other fellow Python developers!
You can also learn and contribute to projects to help out your peers. It is a great way of networking as well.
2. StackOverflow
StackOverflow is another online forum where you can ask questions, post about errors in your code, and get answers from other software developers. If you find the answer helpful, you can upvote it so that it moves to the top and be of help to others as well.
StackOverflow is one of the most-liked places for developers to get their queries answered!
How Can You Miss These Resources? Seems Like An Amazing Deal!
By now, I hope you have everything you need to know about Python and the reasons to learn Python. Let us have a recap by looking at the key takeaways of the article.
Conclusion:
As we keep on progressing towards building innovative solutions in the era of emerging technologies like AI, Big data analytics, Web development, and data science, there is a need for an efficient programming language that is versatile and offers easier and faster development.
Python proves to be a promising language that can fulfill all the requirements across all these domains. Hence, there are many reasons to learn Python.
Key Takeaways:
- Python is the programming language of the future. With the increasing advancements in technology, its scope will continue to grow.
- Development in the sector of Artificial Intelligence and Machine learning has led to a rise in demand for Python developers and programmers.
- Python’s versatility and easy-to-understand learning curve make it one of the most popular programming languages in today’s world.
- Moreover, It supports modules and packages which fosters program modularity and code reuse.
- Its open-source community of active and passionate software developers keeps on contributing to evolve and make it a better language with each passing day.
