Prior to writing this essay, I looked over a number of internet roadmaps that mention a lot of unnecessary skills you should acquire in order to become a Python developer. You might need them if you want to become a Python specialist, which can take years, but you don’t need them at all to begin your career with Python.
But first, let’s talk about Python, one of the most widely used programming languages in the annals of software creation. Python is the computer language with the fastest-growing developer community, and businesses use it in practically every sector, including machine learning and web development.
Python is the most popular and appealing language to learn because it can be used to automate almost every daily task. Because of this, I’ve made a list of things you should do if you want to work as a python developer.
What are we waiting for? Let’s get started with studying the Python programming language before moving on to the crucial Python frameworks, libraries, and tools for web development, data science, and machine learning.
But first, let’s look at this RoadMap for Python Programmers in 2022.
Learn Python
You are aware that Python is a widely used language. As a result, numerous people have developed paid courses, YouTube channels, and free blogs as online resources to teach students this language. These are all excellent places to start.
Nevertheless, as a novice, you could feel overwhelmed by the sheer number of ideas and libraries in Python, therefore I’ll give you two starting points to help you out:
Python 3.10.1 documentation
Python experts write the official python documentation. It follows step by step to understand the language. Still, sometimes since you are new, it may get hard to understand some concepts or arguments, especially if you like learning from videos, not reading articles.
Install the Python interpreter on your computer first, followed by an IDE (Integrated Development Environment) such as PyCharm or Jupyter Notebook. Then, you can begin learning about Python data types, accepting user input, if statements, for & while loops, functions, lists, dictionaries, tuples, sets, booleans, lambdas, and arrays.
The fundamentals of the Python programming language are those listed above, but you will also need to master OOP (Object Oriented Programming), which includes class, function Object() { [native code] }, getter, setter, modules, inheritance, static methods, iterable, class method, and multiple inheritances.
Frameworks & Libraries
You are now prepared to use this language to develop something once you have finished all of these topics and have had enough experience. Because Python is an open-source language, people are continually working together to make it simpler to use in every field. As a result, many packages and libraries have been developed that you may utilise to build your project rather than writing all of the code in the native Python language.
Web Development
Python is one of the finest options to build a web application if you want to work as a web developer because it is widely used by businesses and because there are two popular frameworks to learn:
Django:
A high-level web framework, Django is a collection of Python tools that let you create online applications. It may be used for both the front-end and the back-end. Numerous database management systems, including PostgreSQL, MySQL, SQLite, and Oracle, can be coupled with Django.
Flask:
Flask is a back-end Python framework that is frequently used to create web applications. It is easier to learn than Django, but it is not as robust or extensive. It is used for easy and lightweight web applications.
Desktop Applications:
There are numerous Python packages available for creating desktop applications, however, I’ll just recommend the following two:
The only GUI framework that is included by default in the Python programming language is Tkinter, which includes a wealth of tutorials and documentation if you want to start creating desktop apps that can operate on many OS platforms.
By integrating the Python and QT libraries, the free programme PyQT may give your desktop applications greater functionality and a nicer user interface than Tkinter.
Data Visualization:
Data scientists and analysts frequently employ data visualisation, which is the process of transforming data into useful charts for a better understanding of the issue.
Data scientists, data analysts, and machine learning engineers like Matplotlib because it allows for the creation of data visualisation in 2D and even 3D with only a few straightforward instructions.
Built on top of the matplotlib toolkit, Seaborn: is popular for statistical plotting, gives additional customization choices for data visualisation, and functions well with pandas DataFrames.
Conclusion:
The 2022 Python Developer Roadmap has been discussed in detail. With novices who wish to study Python and launch their careers as Python developers in Web development, Data Science, or Machine Learning in mind, I’ve produced this RoadMap.
In comparison to the number of frameworks and libraries available in Python, this list is incredibly small. However, I have advised the most popular ones to begin creating something helpful and to keep patience while learning this wonderful language.
The purpose of this Python RoadMap is to concentrate on the most crucial Python abilities that any Python developer should master. It is not the most complete Python RoadMap you will find online.
