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A Complete Roadmap to Learn Python in 2021

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Python is not only one of the fastest-growing and most popular programming language software engineers in the world, but also among mathematicians, data analysts, scientists, accountants, network engineers, and children! Because it is a very beginner-friendly programming language. Python is used by people from different disciplines for various tasks such as data analysis and visualization, artificial intelligence and machine learning, automation.

 

A Complete Roadmap to Learn Python in 2021

You can write a Python script to automate boring tasks such as copying and renaming files and folders. Uploads them to the server. So Python is used not only by software developers but also by other professionals to automate their tasks and make their life easier. Python is a multilingual language that you can use to create software testing and hacking, as well as web applications, mobile applications, and desktop applications.


All of the above reasons are enough to tell you why Python is the most popular language among programmers and why you should learn it. Now the question of where to start. How long does it take to learn this language? What items should you cover? What are Python libraries or structures? As a beginner, you will be confused as to what I should choose first. Should I learn all the ideas from the book or go to an online tutorial? We will also discuss the whole roadmap for becoming a Python developer.

Why Python? (Determine your ultimate goal)

Before you begin your journey with this language, you should have a clear goal in mind as to why you want to learn Python. What exactly do you want to do with this language? Want to automate some dull or boring tasks or create some web applications?
A common mistake they make is that they start learning the language because they want to learn the language without a goal in mind. Remember that language learning is a different matter and using it to create some real-world applications is different and as a programmer, your goal is not only to learn a language but also to create objects. So explore each field first and find out where your interest is.
We have already discussed the different areas in which Python can be used. So, first, decide what you want to create and once you have determined your goal, stick to it and move on to the next step, i.e. find resources.

Learning resources

There are many documents and videos online, so learning this language can be very confusing when using Python in various fields. Understand that a book or video course is not enough to teach you everything in Python, you as a beginner will be immersed in a lot of ideas, but be patient, explore and stick to it. Below are some of the resources we have filtered to get you started learning Python but make sure your code has the resources you need.
  • If you already have experience in programming, learn from the official documentation: 3.8.1. Or learn a Python tutorial from Geeksforgex. You can also go to some online video tutorials or courses, but most courses start from scratch (which is a waste of time), but it depends on you and your previous experience in coding.
  • If you are a beginner and bored of reading documents choose the comprehensive Python online course. One of the best courses for beginners Complete Python Master Class: Learn Python from Scratch.
Regardless of the resources you want, set a deadline to complete the course. If you are a beginner, you can complete the course in 10 - 11 weeks if you dedicate 2-3 hours every day to learning. Now you need to go to the next step and check the important things in Python. Keep in mind that there are many things to learn, so start exploring Python on your own as soon as you finish things.

Important things in Python

1. Learn syntax and basics

Start with the Python installation on your computer first. Visit the official site of Python and download the latest version, you're good to go. After the installation is complete, you can use IDLE to write and execute Python code. Now we are going to list some topics to get started by learning Python. It takes 1 - 1.5 weeks to cover all the basics depending on your learning process.
  • Python shell, basic arithmetic.
  • Control structures.
  • Accepting user input, strings, and typing.
  • Rotate in Python: for loops.
  • Exceptional management.
  • Functions, modules, and imports.

2. OOPs concepts, built-in data structures, and other topics

If you are unfamiliar with Object-Oriented Programming Concepts, this section can be a bit difficult. Get help from some of the resources we mentioned and in some practice, you will be able to understand the ideas. These concepts are widely used in creating complex applications, so understand these things well. It may take 1 - 1.5 weeks to learn.
  • Object-Oriented Programming in Python
  • Listings & Listing Functions
  • Regular expressions
  • List Comprehension
  • List cutting
  • String configuration
  • Lambdas
  • List, dictionaries, and duplicates
Once you have mastered the above topics and practiced enough on each topic, it is time to create something from it. Python has good modules, packages, libraries, and configurations that you can use for a variety of applications. So instead of creating everything new the structures and libraries available in this language. Using these structures and libraries will make it easy for you to create anything. Select the framework or libraries according to your ultimate goal (web development, desktop-based applications, etc.).

3. Structures for web development

Python has many configurations for web applications, some of which include Django, Flask, Bottle, Tornado, and Pyramid.
  • Django: A high-level web framework often used by startups and companies for web development. It follows the MVC method and you can use many databases such as PostgreSQL, MySQL, SQLite, and Oracle. If you are a complete beginner and do not know vocabulary recognition, URL routing, API, and models, you will have a lot of trouble learning Django, but spend your time, be patient and understand every line of code beyond a few other sources. Slowly and gradually you will understand everything. Django can take 2 - 2.5 weeks to learn.
  • Flask: One of the easiest microframeworks to learn in Python. If you want to create a simple and lightweight web application, Flask is perfect. It is not as powerful and comprehensive as Django still supports unit testing and features such as the creation of REST APIs. Flask learning takes 1 - 1.5 weeks.

4. Creating desktop applications

Libraries such as Tkinter, Pykuti, Kiwi, WX Python, or PGUI are great for creating desktop-based applications.
  • Tikinder: Tikinder allows you to create desktop GUI applications using the open-source library and Python. The decider is easy to learn and offers a graphical interface. Decider takes 1 week to learn.
  • Piki: Pikuti is one of the most powerful cross-site GUI libraries owned by Nokia. It integrates Python programming and the Qt library. It can be used to create graphical user interfaces for desktop applications.
  • Kiwi: It can be used to create desktop applications that support sites like Android, iOS, Linux & Raspberry Pi.

5. For data analysis

  • Nampi, Pandas, Seaborn, Bokeh, Saipi, Matplotlib These libraries are good for data analysis. These libraries help those who want to become data researchers/data scientists. It takes 1 week to learn to believe or pandas.

  • Filling: It provides a sequence-processing package and a high-performance sequence object. It is widely used for scientific computing with Python and provides the required features.
  • Pandas: Pandas are a good open-source library for data analysis. It offers a wide range of tools for high-level data structures (such as data frames) and analysis. It can translate complex functions to certain commands. Using this library makes data management much easier.

6. For machine learning:

  • Tensorflow: The most popular in-depth learning library created by Google. It is a computational structure used to express algorithms with many tensor functions.
  • SkyKit-Learn: Python is a machine learning library designed to work with digital libraries such as Syp & nom.
  • PyTorch: It can handle dynamic computational maps while traveling. This is an easy-to-use API.

Make a plan

So far we have covered everything in Python and are now making final stage plans. All the exercises in Python make sense if you can create some projects. Remember that the best way to test your programming skills is to work on a complex program that solves the problem. Creating a complex project is not an easy task for beginners, so start small. Create a simple plan first, and then proceed step by step. If you want to create a complex project startup with a small and simple module, add features to it. You will also see your progress with your project and you will understand how programmers solve real-world complex problems.

Programs can help a lot to sharpen your skills. When working on a project you face frustration, many obstacles, challenges, and difficulties. You will gain better skills as you work through these challenges and difficulties. By solving these challenges you will gain enough experience in solving the problem using Python.

Now you can do a lot of projects using Python. Simple Interest / EMI Calculator, Weather Application, Simple Crawler are all simple projects you can do. If we talk about some complex projects, you can create a fully functional e-commerce site, web-based crawler, online CV generator that converts a specific webpage from the CV source text to pdf format.

Tips:

  • Be patient, this is not only about learning Python, it is also about learning another language. Learning a first language always takes a lot of effort and time, so understand that it takes time to immerse yourself in everything.
  • Stick to your goal and language. Don’t go into a new programming language by learning syntax.
  • Depression and pain are part of the learning process, so accept it instead of avoiding it.
  • You may want to leave because of some complicated words, errors, and problems. Do not do this, it will happen to everyone in the programming. Set aside some time for yourself, use some more resources, and understand the topic with a focused mind.
  • Be consistent, it will take more time and effort if you are not consistent in learning.
  • Building planning always helps build confidence, so don’t underestimate its importance.