When I first decided to learn Python, I was both excited and a little overwhelmed. The programming world felt huge, and there were so many languages to choose from. But after some research, I chose Python, mainly because of its simplicity and versatility. It's used everywhere, from web development and data science to automation and AI. And best of all, I didn't have to pay for a course to get started.
I'm the type of learner who prefers to figure things out for myself, moving at my own pace. For me, YouTube is the ultimate learning platform. So, I set out to learn Python using free YouTube playlists, and here's how it all unfolded.
⚠️ I'm not going to list the specific Python topics I learned, but rather share my journey of teaching myself Python through YouTube playlists. It’s about the process of finding the right resources, staying motivated, navigating the challenges of self-directed learning and how Youtube Playlists helped me to learn Python.
Before I jumped into tutorials, I needed to get a basic idea of what Python was all about. I started by simply Googling “What is Python?” I read articles and watched a few introductory videos to understand the core concepts.
What I discovered was that Python is a general-purpose language—it's used for everything from building websites and analyzing data to creating machine learning models. The best part? Python has a simple syntax that makes it much easier to learn compared to many other programming languages. As someone with no prior coding experience, that really appealed to me.
Once I had a general understanding of what Python could do, I was ready to dive in. But where should I start? That's when I turned to YouTube.
There are tons of Python tutorials on YouTube, but finding the right ones wasn't easy. I didn't want to just pick random videos—I needed a structured playlist that could take me from beginner to intermediate without overwhelming me. After a bit of searching, I found a few playlists that really clicked with me. These became my main learning resources.
The first Python playlist I started with was Telusko's Complete Python Tutorial. This playlist became my Python bible. It was a perfect fit for a beginner like me because it was well-structured and explained everything clearly. The playlist covered Python basics—variables, loops, functions, and conditionals—but it also went deeper, into things like object-oriented programming (OOP) and file handling.
What I liked about Telusko's teaching style was that he didn't rush through topics. Each video built on the previous one, making it easier for me to absorb the information. I remember feeling so proud when I finally understood concepts like classes and objects. It was a huge milestone for me.
🚀 Here is the Telusko Python Youtube Playlist, which is more structured, easy to follow along & with simple English.
Corey is a fantastic instructor, and his tutorials are incredibly detailed. This playlist focused on using Python for data science, covering powerful libraries like Pandas, NumPy, and Matplotlib. Corey's explanations were so clear that even complex concepts felt easy to understand. I remember following along with his tutorials on manipulating data with Pandas and creating visualizations with Matplotlib. It was like a light bulb went off in my head—I could now use Python to analyze and visualize real-world data!
What made Corey's playlist stand out for me was the practical approach. He didn't just explain the theory; he walked through real examples, making it easy for me to see how Python is used in the industry. This playlist really helped me level up my skills and gave me the confidence to start working with datasets on my own.
🤩 Here is the Corey - Python Youtube Playlist, which is a collection of videos (it's the best BTW) on most popular Python topics.
Another fantastic playlist I came across was freeCodeCamp's Python for Beginners. This is one of the most well-known free resources for learning Python, and it didn't disappoint. The 10-hour video covered everything a beginner needs to know, from the very basics all the way to more intermediate concepts.
What I loved about this playlist was how comprehensive it was. It covered variables, data types, loops, functions, and even error handling. The instructor explained each concept thoroughly, and the best part was the hands-on coding exercises. I followed along with every video, writing code in my own editor and testing out the examples.
This playlist was great for reinforcing everything I had learned so far. It gave me the confidence to start writing small scripts on my own and solving problems in Python. One of the best things about freeCodeCamp is that it also provides coding challenges and projects at the end of the course, which helped me solidify my skills.
🌟 Here is a FreeCodeCamp Playlist but be aware this content is so huge, you might need few months to complete it.
One of the reasons I love YouTube is the flexibility it offers. Unlike paid courses with set schedules, I could learn Python at my own speed. At the beginning, I was learning 1-2 hours per day, but I didn't rush through the content. I made sure I understood each concept before moving on to the next.
Sometimes, I would spend a few days on a single topic if I felt like I needed more practice. For example, when I first learned about loops, I kept writing small programs to practice until I felt comfortable with them. The key for me was consistency and regular practice.
In the beginning, I watched the videos, wrote the code, and paused often to try my own variations of the examples. Eventually, I started to experiment with my own projects, which made learning even more fun. I built a simple calculator app, a number guessing game, and a text-based to-do list. These mini-projects helped me apply the theory I had learned and gave me the confidence to tackle more challenging tasks.
By the time I reached the intermediate stage of my learning, I was ready to dive into more complex projects. One of the things I loved about learning Python on YouTube was how I could see the real-world application of the concepts. I started working on web scraping projects, writing scripts to collect data from websites, and even building a personal expense tracker that kept track of expenses (I'm using this even now!).
I also began experimenting with Django, a robust web framework, to build web applications. I was surprised at how quickly I could create something useful using just the basics of Python and Django. By building these projects, I was able to reinforce what I'd learned and gain experience working with real-world problems.
👑 If you want to learn Django, there is one youtube playlist that I can't resist myself from sharing here. Django Tutorials by Corey Schafer. Best one out there & I highly recommend anytime!
Looking back, learning Python through YouTube playlists was one of the best decisions I made. It gave me the freedom to go at my own pace, explore the topics that interested me the most, and apply what I learned in real-world projects. The playlists I followed, especially from Telusko, Corey Schafer, and freeCodeCamp, provided everything I needed to go from a complete beginner to someone who feels comfortable building Python projects.
I've learned that learning to code isn't a race. It's more important to take your time, understand the concepts, and practice consistently. YouTube playlists gave me the structure I needed, but it was up to me to put in the time and effort. And trust me, it's all worth it when you start building your own projects and solving real problems with Python.
So, if you're thinking about learning Python, I highly recommend you check out these playlists. Start slow, build projects along the way, and, most importantly, enjoy the process. The world of programming is at your fingertips, and Python is a fantastic place to start.