What are the fields after learning python?

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Choose a job you love, and you will never have to work a day in your life
1. Web Development with Python
2. Machine Learning with Python
3. Teach Python to Beginners

Choose a job you love, and you will never have to work a day in your life

Photo by Arian Darvishi on Unsplash

Python is one of the most used languages of the last decade. It has become the first choice for beginners. The reason is simple, python offers one of the simplest and easy-to-understand syntaxes out of all other languages. The Number of python…

Python is a pretty popular programming language around the world. Since it is beginner-friendly, a lot of people jump into learning Python. But after learning the basics of Python, then what? Most people don’t know what to do after learning the fundamentals of the language.

There are a lot of things you can do with Python, and choosing the right one is vital. So, in this article, let’s discuss what can you do after learning the syntax of Python.

Before we deep dive into the topic, I want to mention one thing. 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.

Many good programmers don’t know what to do with their skills, and that is why they quit programming and do other work to earn a living.

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.

What can you do after learning the basics of Python? 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 (and earn some bucks)

These are the top three ways to proceed, according to my opinion. So, 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 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, which will help us to create web apps: Django and <a target="_blank" href="https://pythonistaplanet.com/flask/">Flask</a>. 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 <a href="https://pythonistaplanet.com/what-can-you-do-with-flask/" target="_blank" rel="noopener">Flask most often for creating small-scale web applications</a>. There is not a big learning curve, and you can start building apps quickly.Django is somewhat more difficult to learn. But, <a href="https://pythonistaplanet.com/advantages-of-django/" target="_blank" rel="noopener">Django has a lot of advantages</a> over Flask. <a href="https://pythonistaplanet.com/what-can-you-do-with-django/" target="_blank" rel="noopener">Django is the preferred framework when creating large-scale web applications</a>.So, I recommend you to learn Django. However, you can start with Flask first, and then later switch to Django.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.So, you should learn HTML, CSS, a bit of Javascript, and Django to <a href="https://pythonistaplanet.com/how-to-become-a-full-stack-developer/" target="_blank" rel="noopener">become a full-stack web developer</a> (the one who can create a complete web application). However, these are not as difficult as you may think.&nbsp;<script data-ezscrex="false" data-cfasync="false" style="display:none">if(typeof ez_ad_units!='undefined'){ez_ad_units.push([[300,250],'pythonistaplanet_com-banner-1','ezslot_6',142,'0','0'])};__ez_fad_position('div-gpt-ad-pythonistaplanet_com-banner-1-0');Learning web development will be easy, fun, and entertaining. If you want to get started with Django, then check out <a href="https://pythonistaplanet.com/hello-world-django/" target="_blank" rel="noreferrer noopener">this article</a>. It will help you to learn how to create a simple hello world project in Django.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.<span id="div-gpt-ad-pythonistaplanet_com-large-leaderboard-2-0" ezaw="250" ezah="250" style="position:relative;z-index:0;display:inline-block;padding:0;width:100%;max-width:1200px;margin-left:auto !important;margin-right:auto!important;min-height:250px;min-width:250px" class="ezoic-ad"><script data-ezscrex="false" data-cfasync="false" style="display:none">if(typeof ez_ad_units!='undefined'){ez_ad_units.push([[250,250],'pythonistaplanet_com-large-leaderboard-2','ezslot_5',165,'0','0'])};__ez_fad_position('div-gpt-ad-pythonistaplanet_com-large-leaderboard-2-0');It is a great course to build your skills and become a Django developer much faster than learning on your own. Click here to check the course contents, sample videos, and the current price.

2. Machine Learning with Python

Machine learning is a pretty hot trending field, 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 saying 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 doing 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. That’s why everything seems rocket science for them.

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.

But, 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.

Machine learning is a valuable skill to have nowadays. There will be a lot of opportunities for ML developers in the future. Unlike web development, the machine learning field is less competitive at this point. So, if you don’t want to miss the boat, then start learning machine learning.

I’ve written a lot of tutorials and project ideas on this website. You can take advantage of it. Not only this website but there are also a plethora of resources available online for free. Learn from these materials and do some great projects.

If you’re looking for a perfectly designed course to make your life easy, then check out the article I wrote on 15 Best Courses For Machine Learning and choose the course that suits you.

3. Teach Python to Beginners

I can’t tell you how many people miss this step. If you love programming and want to make money out of it, then it 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 as a programming language, 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.

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.

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.

If you would 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.

Conclusion

Learning only the fundamentals of Python is not enough to survive as a programmer in the rapidly changing software industry. So, after learning the basics of Python, try to take your skills to the next level.

For me, these are the main steps that you can choose after learning the fundamentals of Python. I hope you’ll prefer the right way to advance your career as a programmer.

If you’re still not comfortable with Python, I would suggest you pick a Python course and learn it thoroughly. I’ve put together a list of the best and inexpensive Udemy courses for Python. Click here to read that article.

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.

I would appreciate it if you would be willing to share this article with your friends. It will encourage me to create more useful articles like this.

Happy coding!