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. Show 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:
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 PythonWeb 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: <strong>Django and <a target="_blank" href="https://pythonistaplanet.com/flask/">Flask</a></strong>. Web development frameworks like Django and Flask aim to automate the overhead associated with common activities performed in web development.</p><p>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.</p><p>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>.</p><p>So, I recommend you to learn Django. However, you can start with Flask first, and then later switch to Django.</p><p>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.</p><p>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. <span id="ezoic-pub-ad-placeholder-142" class="ezoic-adpicker-ad"></span></p><p>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.</p><p>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 <em>“Python and Django Full Stack Web Developer Bootcamp”</em> on Udemy.</p><span class="ezoic-autoinsert-ad ezoic-incontent_6"></span><p><span id="ezoic-pub-ad-placeholder-165" class="ezoic-adpicker-ad"></span><span class="ezoic-ad ezoic-at-0 large-leaderboard-2 large-leaderboard-2165 adtester-container adtester-container-165" data-ez-name="pythonistaplanet_com-large-leaderboard-2"><span id="div-gpt-ad-pythonistaplanet_com-large-leaderboard-2-0" ezaw="336" ezah="280" 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:280px;min-width:336px" class="ezoic-ad"><script data-ezscrex="false" data-cfasync="false" style="display:none">if(typeof ez_ad_units!='undefined'){ez_ad_units.push([[336,280],'pythonistaplanet_com-large-leaderboard-2','ezslot_1',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 PythonMachine 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. Bài Viết Liên Quan
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