Full Stack Data Science Journey: Python Installation And Setup – 2

Hello Learners…

Welcome to the blog…

Table Of Contents

  • Introduction
  • Full Stack Data Science Journey: Python Installation And Setup – 2
    • Python Programming
      • 1.1 Python Installation and Setup
  • Summary
  • References

Introduction

In this post, we start learning and implementing python programming. This is the 2nd Post Of our learning series Full Stack Data Science Journey: Learning And Implementing -2.

1st Post: https://galaxyofai.com/full-stack-data-science-journey-learning-and-implementing-1/

Full Stack Data Science Journey: Python Installation And Setup – 2

As a part of Full Stack Data Science Journey: Learning And Implementing first we start with python programming.

1. Python Programming

In Python programming, we are going to follow the below steps

  • 1.1 Python Installation and Setup
  • 1.2 Python Basic
  • 1.3 String, List, Indexing
  • 1.4 Tuple, Set & Dict
  • 1.5 If, Else & For Loop
  • 1.6 For Loops & While loops
  • 1.7 Functions
  • 1.8 Logging And Debugging
  • 1.9 Iterator Generator
  • 1.10 File System
  • 1.11  Class And Objects
  • 1.12 Module & Packages
  • 1.13 Exception handling
  • 1.14 Abstraction And Inheritance
  • 1.15 Encapsulation And Polymorphism

To implement this we are using VSCode And Linux OS so based on your System there are some changes.

1.1 Python Installation and Setup

In the Linux OS python is preinstalled and we don’t need to do any installation and setup.

We can Check our python version using the below command.

Note: This command is common for all.

python3 -V

Based on your OS you can install and set the python environment. and check the version of your python.

We hope that you are ready with your python setup for the python programming implementations.

Summary

In Python Programming, we are covering the fundamental concepts and gradually building toward more advanced topics in object-oriented programming and data handling.

It’s a great starting point for anyone looking to learn Python programming from scratch.

Happy learning And Keep Learning…

Be with us and keep learning…

Thank you…

References

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