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Roadmap – How to Become a Python Developer?

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In the world of Java, Python is quickly making its way into the charts. Python developers are in high demand, and not so high in supply. This means they also get paid a lot.

If you’re reading this, it probably means you’ve decided or are deciding to start a career in Python and want to become a Python Developer.

How to land a job as a Python Developer? This article will answer all your queries about making a career as a Python Developer.

Before we learn how to become a Python developer, let’s explore why you should learn Python Programming.

Why Learn Python?

To simply say, Python is at #3 in the TIOBE Index (for popularity of programming languages) for 2020. And in the list of top programming languages for 2019 by the IEEE Spectrum, it is at #1.

Python is great both for beginners to programming and for experienced coders.

But what makes it even better is that Python is being preferred for domains like Data Science, Machine Learning, and Artificial Intelligence.

My favorite language for maintainability is Python. It has simple, clean syntax, object encapsulation, good library support, and optional named parameters.

– Bram Cohen (author of the peer-to-peer (P2P) BitTorrent protocol)

It has great analytical capabilities and multiple libraries geared for these domains; it is a very powerful general-purpose language.

Ready to learn Python for free? Now, let’s find out how to do it to get a job as a Python Developer.

How to Become a Python Developer?

Below is the Python developer roadmap –

Follow these steps to become the next Python Developer –

1. What to Learn in Python?

2. Things to master Python

a. Python Frameworks

You should now learn to work on a framework.

Python has some very powerful frameworks like Django, Flask, and CherryPy.

You can begin with Django, which is a very powerful framework following the DRY (Don’t Repeat Yourself) principle. It makes work easier for you and takes care of trivial things.

At the end of the day, it motivates you to build complex, database-driven websites quickly and cleanly, without even applying massive effort.

b. ORM Libraries in Python

ORM stands for Object Relational Mapping. This is a way to query and manipulate data from a database using an object-oriented paradigm.

You can learn to use ORM libraries like SQLAlchemy and Django ORM. This is easier and faster than writing SQL.

There are many other ORM implementations in Python, like:

c. Python used for Front-End Technologies

Technologies like HTML5, CSS3, and JavaScript/jQuery are not a requirement to be a Python developer.

But if you can, try to gain a basic understanding of these, and they will let you understand how things work and what is possible.

As a Python developer, you may need to work with the front-end team.

d. Version Control

Changes to a code multiple times by multiple people can ultimately break it.

You should learn GitHub and its simple terms like push, pull, fork, and commit if you want to implement version control (you should).

3. Build Projects in Python

You now have enough skills; building some personal Python projects will give you confidence.

You can also build something to try to solve an actual problem you face. Once you feel confident enough, you can then build for popular open-source projects like Django.

Check out 47 Python Projects with source code and become a Python developer 

Who is a Good Python Developer?

To be a good Python developer, you will need more than just technical knowledge and the following skills:

Now that you know what to learn and how to do it, get ready and enroll in this FREE Python Course to change your life.

Summary

We have discussed how to become a Python Developer and who is a good Python Developer. Start with the basics: variables, loops, functions, and simple file handling, and cover every concept till advance level.

Next, build small but real projects—a to-do list web app with Flask, a CSV data cleaner, or a chatbot using an API. Post each project on GitHub; recruiters look at commit history to judge skill level and growth.

Learn one framework deeply (Django, FastAPI, or PyTorch if you like AI). Add testing, virtual environments, and Docker. Finish with Git workflows. This toolkit shows you can take a feature from idea to production.

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