Python from Basics till Advance for Data Science

Python

Python from Basics till Advance for Data Science
Python from Basics till Advance for Data Science

Python from Basics till Advance for Data Science udemy course free download

Python

In this course you are going to learn every bits and pieces of Python from Basic till Advance. I am providing lot of hands on for each and every topic along with Jupyter notebooks as well as assignment for each topics. I am also providing step by step video guide to solve Hacker Rank Python quizzes.

In this course, I'll start by giving a brief introduction of python to a beginner, making it a complete python tutorial for beginners in English.

This Python Course is totally in English and is made for Learning Python. All the topics related to python programming will be covered in this tutorial series.

I will make this python course as a complete python course with examples for beginners which will be taken to the advanced python level.

I wish you all the very best in your python learning journey through these Code tutorials!

Source code of all videos are separately given in all video's description, you can grab all through via Jovian, GitHub or Google drive link.


It is relatively easy to learn when compared to pretty much any other programming language since most of the time, using Python to do something will take less lines of code than with another programming language.


I cover a wide variety of topics in this, including:

Basic and Advance Python:

  • Installing Python

  • Installing Anaconda

  • Strings

  • List

  • Tuple

  • Dictionaries

  • Functions

  • Built-in Functions

  • File I/O or File Handling

  • Error Handling

  • Filter, Map, Reduce

  • Modules

  • Local and Global Variables

  • args / kwargs

  • and much more!

Python modules for Data science :

  • Numpy

  • Pandas

  • Matplotlib

  • Seaborn

  • NLTK (Natural Language Tool Kit) for NLP (Natural Language Processing) Library


    Many more......

All the jupyter notebooks can be downloaded from Jovian, Git hub and Google drive, In each content i'll be providing those link details.