How should I start learning Python?

How should I start learning Python Course?

Table of Contents

Python is the world’s most popular and fast-growing programming language due to the numerous advantages and features it offers. This programming language’s popularity is so much that software engineers and other professionals such as mathematicians, scientists, accountants, data analysts, network engineers, and students. They use this programming language to perform various tasks such as automation, Artificial Intelligence, data analysis, data visualizations, machine learning, and many others. Using Python, one can do different tasks such as copying files, reaming them, uploading them to the server, etc. Hence people are looking for the best python course and master this skill. So, if you are one of the aspirants and looking to learn quickly and effectively, here are a few useful tips. 

How to start learning python?

Before starting your journey of learning python, one must be clear in their mind about the end goal of it. One should be very clear about the reason for learning this programming language. It means finding the basis for learning this, for example, do you want to learn this to automate the boring stuff, build web applications, etc. Most beginners make a mistake in this stage since they start to learn this programming language for the sake of learning it. The problem is learning something is different and using the same in the real world is different. Hence, without knowing what you will do with Python, your goal will not become apparent. So, I hope now you are aware of your end goal and ready to master this skill from that perspective. 

Resources to learn Python

Python is used in various fields, and it is easy to find python training onlineConsequently, you will get the problem of plenty and get confused in choosing the best one for a beginner. Even if you search Python for beginners, thousands of web pages will show the results. However, one thing is sure that one book or course is not enough to know everything about Python. If you are overwhelmed with the number of resources available, consider Python’s official documentation. And choose the best course that is rated highly by other learners. And learn as much as possible through online and offline resources. 

Learn the basics

First, you need to start learning the basics of Python. To do that, first, you should go to Python’s official site and download the latest version. After installing Python, you need to learn the below-provided concepts. Learning the basics of the below-provided concepts would take one to two weeks as per your learning speed. 

  • Control structures.
  • Python Shell, basic arithmetic. 
  • Accepting strings, user input, and typecasting. 
  • For and while loops. 
  • Handling of exceptions. 
  • Modules, functions, and imports. 

Learn built-in data structures, OOP concepts, and Other things

If you are a beginner, this is where you would feel the complexity of Python. But if you invest your time in these things, your understanding of Python becomes robust. To make your learning stronger, you need to go through and understand the below concepts. Again, this would take one to two weeks. 

  • Lists and Lists functions
  • OOP in Python. 
  • List slicing. 
  • Regular Expressions. 
  • String formatting. 
  • List Comprehension.
  • Lambdas. 
  • List, tuples, and Dictionaries. 

Frameworks for web applications development 

Numerous frameworks support Python to develop web applications. Understanding the popular frameworks helps to dance in your learning process. The popular web frameworks are Bottle, Django, Flask, Pyramid, and Tornado. To know more about these frameworks, you must select the best online python course specially designed for web application development. 

Frameworks for desktop applications

If you are looking to build desktop applications, you must understand and take help from the popular frameworks, including Kivy, Tkinter, PyQT, WxPython, or PyGUI libraries. 

Libraries for data analysis and ML

Numpy, Seaborn, Pandas, SciPy, Bokeh, Matplotlib are the main libraries that the data analysts use. For machine learning, TensorFlow, PyTorch, Scikit-Learn are useful libraries. 

Tips to make your learning process smooth

  • To learn anything from scratch, patience is the key. Hence, please do not lose it. 
  • Strictly stick with your goals and schedule. 
  • Pain and frustration are the common things that come in the learning process. Do not lose your heart for these things. 
  • Be consistent and practice regularly. 
  • Every time, take on new challenges and spend time debugging. 
  • Build projects and implement your learnings here. 

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