How long does it take to learn Python?

Coming from a humanities background, the thought of coding used to scare me. Yet, curiosity kept pushing me to learn Python (which sounded more like a pet snake than a programming tool). It wasn’t just the challenge but the satisfaction of seeing a problem through to its solution. My initial attempts were laughable, but slowly, the lines of code began to make sense, and the once-daunting programming world became a new way to express creativity. Python became a bridge between my love for storytelling and the logic-driven world of technology. Today, I believe anyone guided by a deep passion for learning can learn Python. 

The real question is: How long does it take to learn Python? 

Let’s find out!

What is Python?#

The brainchild of Guido van Rossum, Python has become a key programming tool since it was introduced to the world in 1991. One of Python’s standout features is its clear and readable syntax. At the same time, other programming languages, such as C++ or Java, champion complex syntax. Python makes writing code as straightforward as a grocery list. Need apples? Add “apples.” There is no need for hieroglyphics that only a cryptographer could decipher. But wait, there’s more! Whether you’re into procedural programming, object-oriented programming, or functional programming, Python has got your back. Python can easily adapt to different programming styles, making it the go-to choice for various development tasks.

Need to automate a mundane task? Python’s on it. 

Building a web application? Python’s got you covered. 

Data analysis? Python is already crushing the numbers. 

In practical terms, developers can choose the best approach for their project needs.

Benefits of learning Python#

So what makes Python the number one choice for programming language among software developers all around the globe? It’s simple. Python offers many benefits that make it so popular. Here are the top benefits of Python:

• Readability

• Versatility

• Easy to learn

• Extensive library

Readability#

Python’s clean and straightforward syntax closely resembles everyday English. This makes it an intuitive and accessible language for new programmers who can focus on understanding core programming concepts rather than getting bogged down by complex syntax rules often found in other languages. Beginners can quickly grasp the basics, such as variables, loops, and functions, and then gradually progress to more advanced topics like object-oriented programming and data structures.

Versatility#

Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Procedural programming is useful for simple step-by-step tasks, while object-oriented programming is ideal for projects that require modeling real-world entities.

Easy to learn#

Whether you’re just starting as a newbie programmer or want to take up a new programming language for the summer, Python is generally a top pick because it is easy to pick up. For example, writing a "Hello, World!" program in Python is as simple as typing print("Hello, World!"), without the need for additional code. Python offers a gentle introduction to the world of coding while still providing the depth and complexity needed for more advanced projects.

Extensive libraries#

Python boasts a vast collection of libraries and frameworks. Its extensive library packages relieve developers of the need to write code from scratch and allow them to choose the most appropriate approach for their specific project needs, such as pandas for data analysis, Django for web development, and TensorFlow for machine learning.

Time needed to learn Python#

Now is the tricky bit. While there should be a single answer to the above question, the truth is that no one knows. Learning is a highly individual process. People have different learning styles, paces, and preferences, making it impossible to pinpoint an exact timeframe for everyone. Some might find certain concepts easier to grasp to move through the material rapidly, while others may need more time to fully understand and absorb the same information. When it comes to programming languages, learning Python depends on various factors, such as:

• Prior experience: Just like any other craft, the speed at which one can learn Python rests on whether they have previous experience in programming or related fields. For instance, if someone has a background in other programming languages like Java, C++, or JavaScript, they will likely find it easier to grasp Python concepts quickly in as short as 1-3 months. Familiarity with programming fundamentals such as variables, loops, conditionals, and functions can significantly reduce the learning curve. On the other hand, individuals without any programming experience may need to spend more time understanding basic concepts and developing a programming mindset before they can efficiently learn Python.

• Learning pace: Everyone learns at a different pace. Some people might be able to dedicate several hours a day to learning, allowing them to quickly pick a pace for learning Python. On the other hand, others might only have a few hours a week to devote to learning due to other commitments such as work, family, or other responsibilities. While this might slow their overall progress, it doesn’t diminish the quality of their learning. Consistency is key when it comes to learning. Regular practice can lead to steady improvement over time.

• Learning resources: Various resources are available that promise individuals guaranteed success with learning Python. These resources include online courses, books, and tutorials. However, as the saying goes, “not all keys open the same lock,” and the lack of success in learning Python can be achieved only with the right resources. Educative offers a library of courses that learners can choose from such as Learn Python 3 from Scratch.

Learn Python step by step#

There is no one-size-fits-all learning ride when it comes to mastering Python. Individuals have different learning styles and paces, making every learning journey unique. However, while learning Python, one can follow five basic steps as a general guideline. The five main steps to learning Python are:

1. Get the system set up

2. Start with the basics

3. Practice with simple projects

4. Learn about libraries and frameworks

5. Join the community

Get the system set up#

The first step to learning Python is downloading and installing the latest version from the official Python website. Once the installation is complete, you must choose an Integrated Development Environment (IDE) or a text editor to write and run your Python code. Quite a few popular options are available, such as PyCharm, Visual Studio Code (VS Code), and Jupyter Notebook. You must open a command prompt or terminal and type `python --version` to verify that Python has been installed correctly. This simple command will display the installed version of Python, confirming that you are ready to start coding.

Start with the basics#

Next up, it is time to begin with understanding the basics. It is a good idea to familiarize yourself with Python’s basic syntax and data types, including integers, strings, lists, dictionaries, and how to assign values to variables. Once you have these basics covered, you can explore control structures such as loops (`for`, `while`) and conditionals (`if`, `elif`, `else`) to control the flow of your programs. Moreover, you also have to learn how to define and call functions, pass arguments to functions, and return values from them. From the looks of it, it does seem a lot. So the general advice goes one step at a time. There is absolutely no need to rush when learning Python. Rather, your goal should be to master it over time with ease.

Practice with simple projects#

Once you have gained the foundational knowledge of Python, it is a good time to practice your Python skills on simple projects. You can start with small, manageable projects like a calculator, a basic game like rock-paper-scissors, or a simple TO-DO list app. These projects will help you apply what you’ve learned and gain hands-on experience. If you are enrolled in a course on platforms like Educative, there are various challenges designed for learners that allow the skills to be used in practical exercises.

Learn about libraries and frameworks#

At this point of your learning, you will have gained sufficient knowledge of how Python works. So now you can take some liberty to explore its libraries and frameworks. There are Python’s standard library modules like `math`, `datetime`, and `random`, which provide essential functions for various tasks, and then there are also popular libraries such as `pandas` for data manipulation, `requests` for making web requests, and `matplotlib` for data visualization. These libraries are widely used in different fields and will significantly enhance your ability to handle Python projects efficiently.

Join the community#

When you embark on learning Python, stepping into an unfamiliar territory can be an isolating experience, but you don’t have to navigate it alone. There is a supportive community available to guide and assist you. From online forums like Stack Overflow and Reddit to coding groups on platforms like Discord and Slack, you’ll find countless places to ask questions, share your progress, and seek advice. Local meetups and coding bootcamps can also provide in-person support and networking opportunities. These gatherings allow you to connect with other learners, share your experiences, and work on projects together.

Learn Python with AI#

AI has dramatically changed the learning. The days when learning a programming language like Python meant sifting through dense textbooks and long lectures are long gone now. With AI, the learning process has become more interactive, personalized, and efficient. AI can adapt to learners’ learning pace, provide instant feedback, and offer practical examples tailored to their interests. AI is your perfect learning companion to help learners master Python in a much easier and more enjoyable way. 

Final word#

Python’s popularity stems from its simplicity. Its easy-to-read syntax allows both beginners and experienced developers to write code quickly. Python’s broad library support means developers can find pre-built modules for almost any task, which saves time and effort. Like any new skill, learning Python takes time and patience, so don’t set a timeline for learning. Instead, it is a good idea to enjoy the process of learning Python and gain expertise as you move along in the journey. And if you're anyone like me who is just starting with Python, you'll find Educative's Learn to Code: Python for Absolute Beginners a great course.

Happy learning!