Python has quickly become a go-to programming language for beginners worldwide, thanks to its simplicity and versatility. But once you’ve mastered the basics, where do you go from there? Many aspiring programmers find themselves at a crossroads, unsure of the next steps to take in their journey.”
There are a lot of things you can do with Python, and choosing the right one is vital. In this article, we’ll explore three main paths you can take after learning Python: web development, machine learning, and teaching Python to beginners.
Programming is a high-income skill. It is one of the best things that you can have, which will help you make a lot of money, and you can use your creativity as much as you want. If you’re a passionate programmer, you should take it as your profession. There are a lot of ways you can do this. We will discuss some of them in this article.
So, let’s see what you should do after learning Python basics. Here are some of the things that you can do after learning Python:
- Learn a Web Development Framework
- Learn Machine Learning
- Start Teaching Python to Beginners
These are the top three ways to proceed, according to my opinion. Let’s break down each of these things, and learn how to do them in the best way.
1. Web Development with Python
Web development is one of the most popular careers in the programming world. You can create web applications with the help of a variety of programming languages, including Python.
There are mainly two web development frameworks in Python, that can help you to create web apps: Django and Flask. Web development frameworks like Django and Flask aim to automate the overhead associated with common activities performed in web development.
Flask is the easiest one among the two. Programmers use Flask most often for creating small-scale web applications. There is not a big learning curve, and you can start building apps quickly. You can create single-page applications, RESTful APIs, and microservices using Flask.
Django is somewhat more difficult to learn. But, Django has a lot of advantages over Flask. Django is the preferred framework when creating large-scale web applications. You can create e-commerce websites, content management systems, social networks, etc., using Django.
I recommend you to master Django. You can also start with Flask first, and then switch to Django later.
These two frameworks could be used in the back end of a web application. It handles the data and logic part of the web app. The visual design of the web app, the front-end, could be designed using HTML and CSS.
If you’re looking for a complete step-by-step course that will walk you through everything about Django and will not cost you much, then you should definitely check out the “Python and Django Full Stack Web Developer Bootcamp” on Udemy. Click here to check the course contents, sample videos, and the current price.
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2. Machine Learning with Python
Machine learning can be used to solve various problems, such as image recognition, natural language processing, recommendation systems, and more. Machine learning is a trending field right now, and it is one of the main reasons for the increase in the popularity of the Python language.
As we all know, Python is the most preferred language for machine learning. It is mainly because of the availability of an extensive set of machine learning libraries in the Python language. These libraries can help a lot while doing complex machine-learning algorithms, and Python makes it easy for us. By easy, I mean relatively easy.
Having a comprehensive knowledge of Python does not mean that you can do machine learning easily. Many people believe that machine learning is a piece of cake. But it is not. You need to have a lot of knowledge on various topics like calculus, probability, statistics, machine learning algorithms, machine learning frameworks, etc.
Most people jump directly into machine learning without even having basic math knowledge. I saw this funny meme on LinkedIn a few days ago. It is true for many people. It is not a good idea to directly jump into machine learning after Python.
However, machine learning is not rocket science. You can learn it if you approach it the right way. Don’t just jump directly. But, take a step-by-step approach.
I’ve written an article on how to become a machine learning expert, where I discussed the top-down learning approach and the bottom-up learning approach. You can go through that article and see which learning approach is suitable for you. Take the correct path, and you can become a machine learning expert with Python.
If you don’t want to navigate your way into the unknown world of machine learning all by yourself, I would suggest a great resource. Check out the “Machine Learning A-Z™: AI, Python & R + ChatGPT” course on Udemy! Master AI, Python, R, and gain hands-on experience with ChatGPT, the cutting-edge language model.
Don’t miss this chance to transform your skill-set. Click here for exclusive discounts and course details.
3. Teach Python to Beginners
If you love programming and want to make money out of it, then teaching is a golden opportunity. There are a lot of people waiting to learn to code, particularly Python, as it is the trending programming language.
Python is rapidly growing, primarily due to the boom of artificial intelligence and machine learning. Hence, the demand for this language is high. By teaching what you know to others, you can make money even before you get an actual job.
Teaching Python to beginners not only helps you solidify your own understanding of the language but also provides valuable experience in teaching and communication skills.
You don’t have to be an expert programmer to teach others. The best thing is that there are a lot of beginners who don’t know anything about programming. So, it will be easy for you to teach those people who are below your level. Sometimes a person just above the knowledge level of the student will be the ideal teacher rather than an expert.
You can find clients in your local area and teach them. But, teaching clients online is the best way to do it. There are a lot of online platforms that will help you find students who are eager to learn to code. If you’d like to find clients to teach Python, go to TeacherOn, Wyzant, and TakeLessons, and create your profile on these platforms. Then, you can find clients here. You can teach them in person or online at an hourly rate.
I’ll show you how I got clients to teach Python. I created a free basic profile at TeacherOn. You can have a look at my profile here. Within a few weeks, I started getting clients. Here are some of the screenshots of those clients contacting me to teach them Python.
By doing this, you will learn a lot faster. You’ll also learn soft skills such as communication, negotiation, and a lot more stuff, which will help you become a freelance programmer in the future.
If you want to learn more, check out the article that I wrote on How to Teach Programming Online and Earn Money.
In conclusion, after learning Python basics, it is essential to continue developing your skills by exploring web development, machine learning, or teaching Python to beginners. I hope you’ll choose the right way to advance your career as a programmer.
If you have any doubts or queries regarding the topic, feel free to ask them in the comments. I’ll be happy to respond. Also, if you have any other things to add to this article, comment down below.