Python Training

  • What is Python


Guido Van Rossum first created Python in the late 1980s. It was publicly released in 1991 through Python Enhancement Proposals (PEPs). It was created as a successor of ABC Programming Language. Python is an interpreted, high-level, object-oriented programming language. It is widely used in rapid application development due to its dynamic binding and dynamic typing options. Python uses English like keywords, whereas other programming languages such as java, C and C++ use punctuation. Unlike other programming languages it doesn’t use semicolons to end a statement or curly braces to delimit the block which makes it easy to use and a beginner friendly programming language.


Python, being a high-level programming language can be extended to make system calls to almost all the OS kernels mostly written in C/C++, due to its ability to run on every system architecture. It is a universal language found in a variety of applications. Python includes thousands of third-party modules such as Django, NumPy, Pandas, Matplotlib and much more which makes it easy for a user to write efficient code. Python is widely used in the field of Data Science, Machine Learning, Artificial Intelligence due to its huge collection of 3rd party packages and availability of different frameworks which help a user to write more complex algorithms with a lot of ease.


  • Why Python?


Python is one of the most widely used programming languages since 28 years. Despite being a slow programming language as compared to C and C++, it is still one of the most widely used programming languages. Its popularity is because of its features it provides such as:


  1. Easy to use: If you’re new to programming languages and considering Python, it will be the best choice. It is one of the easiest programming languages to learn due to its English like syntax.
  2. Best for Data Scientists: Python comes with a lot of built-in libraries that provide a lot of functionalities to a data scientist, in addition to that it has a lot of popular robust libraries to use.
  3. Web Development: While working on a web application or setting up a web server Node.js, PHP, .NET comes to our mind but here Python is also a great contender. Two of its most popularly used frameworks are Flask and Django which are widely in the field web application development.
  4. Support System and Career Objective: Being an open-source programming, it has a huge support system in GitHub, stack overflow. GitHub has ranked python as one of the most popular programming languages among developers. According to indeed portal, each year 65,000 jobs are there for Python developers.
  5. Can be used in every domain: There are some programming which are more biased to a specific field like SQL is for databases, C is for kernel programming, Java is for Android whereas Python can be used in almost every field which makes it unique and versatile in its own.


  1. Important Materials


  • E-books

Python Python’s Companion, A Step-By-Step Guide for Beginners to Start Coding by Joe Thompson –


Python Programming. Python Programming for Beginners, Python Programming for Intermediates by Adam Stewart –


Python Cookbook, 3rd Edition: Recipes for Mastering Python 3 by David Beazley & Brian K. Jones –


Hacking with Python: The Ultimate Beginners Guide by Steve Tale –


  • Videos  

Learn Python – Full Course for Beginners [Tutorial] –

Python Full Course – Learn Python in 12 Hours –

Full Python Programming Course –

Complete Python Course – Beginner to Advanced –

10 Python Tips and Tricks for Writing Better Code –


Important Tips on Python


  1. Understand the Basics: Understanding the basics of any programming language will help you in long term goals. With better understanding of the fundamentals, it will be easier for a user to grasp the advanced concepts more easily. Python basics is way easier than other programming languages. After a good understanding of the basics, you can move forward to learn data structure and algorithms using python.
  2. Writing Code on Paper: Writing code on paper is way more effective than typing on a computer. Modern editor’s syntax issues and errors are highlighted for which a user doesn’t pay much attention to these mistakes.
  3. Practice: After having a good understanding of the fundamentals of Python, the next thing you must do is practice using an editor. Learning python is more of solving problems whose solution is the code itself. Practice will create different kinds of problems/questions and it will develop your problem-solving skills.
  4. Contribute to open source: After improving your problem-solving skills, try to contribute to open source it’s a great way to serve and gain knowledge. In open source, code is available publicly, where anyone can contribute to it. Interacting and working on open-source projects will help you learn new concepts from everyone. Example: GitHub
  5. Projects: Try to do at least 5 dummy projects. It will help you to learn new concepts as well as introduce new errors which make you better in debugging code. Examples of dummy projects include Online examination system, Canteen/library management system, Music application, CRUD operation using Python.

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