Python Programming for Data Science | Basic Data Types - Numbers, String, Date, and Boolean

This is an introductory video on the 4 Basic Data Types available in the _builtins_ module of Python.
1) Numeric
2) String
3) Date
4) Boolean.
This Video will help you to get started with Jupyter Noteboom and learn how to effectively use Anaconda Jupyter Notebook for Python Programming.
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Our video provides detailed Python Programming knowledge. It starts from Step-by-Step Installation Guide, Basics of Python Programming to Advanced Python Programming like Programming Structures & User Defined Functions.
In this video you will learn:
1) Step-by-step instructions on the installation of Anaconda.
2) Basic introduction to the World of Python.
3) Efficiently working on Jupyter Notebook and Spyder IDE
4) Data Types & Data Structures in Python
5) Modules and Packages in Python
6) Numpy & Pandas
7) Data Import & Export
8) Programming Structures (Loops & Conditional Statements)
9) Data Manipulations in Python (Sort, Merge, Aggregate, Filter, etc)
10)User Defined Functions & Lambda Function