Course Overview

Python is developed under an OSI-approved open source license, making it freely usable and distributable, even for commercial use. Python is a general-purpose programming language.

 
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Course objectives

Created nearly 30 years ago, it is now one of the most popular languages out there to use. Its popularity is particularly important in the data science and machine learning fields. But it is also a language that is easy to learn, and that is why it has become the language most taught in universities. Python interpreters are available for the main operating systems as well (Linux, Mac OS, Windows, Android, iOS, BSD, etc.) so it’s very flexible in where it is used. 

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Course Videos
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Test Questions
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E-BOOKS
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Duration

Modules

Module 1: Getting Started with Python

  • Module 1 File
  • Intro to Course and Instructor
  • Getting Started with Python

Module 2: Working with Primitive Data Types

  • Module 2 File
  • Working with Primitive Data Types
  • Working with Primitive Data Types Part 2
  • Working with Primitive Data Types Part 3
  • Working with Primitive Data Types Part4
  • Working with Primitive Data Types Part4 Answers

Module 3: Working with Multiple Assignments Statements

  • Module 3 File
  • Working with Multiple Assignments Statements

Module 4: Convert Types in Python

  • Module 4 File
  • Convert Types in Python

Module 5:  Creating Lists

  • Module 5 File
  • Creating Lists

Module 6: Modifying Lists

  • Module 6 Notes
  • Modifying Lists

Module 7: Sorting and Reversing Lists

  • Module 7 File
  • Sorting and Reversing Lists

Module 8:Slicing Lists

  • Module 8 File
  • Slicing Lists

Module 9: Working With Operators

  • Module 9 File
  • Working With Operators
  • Working With Operators Part2
  • Working With Operators Part3

Module 10: Determining Operator Precedence

  • Module 10 File
  • Determining Operator Precedence

Module 11: Working with IF Statements

  • Module 11 File
  • Working with IF Statements

Module 12: Working With For Loops

  • Module 12 File
  • Working With For Loops

Module 13: Working With While Loops

  • Module 13 File
  • Working With While Loops

Module 14: Nesting for Loops

  • Module 14 File
  • Nesting for Loops

Module 15: Reading Files

  • Module 15 File
  • Reading Files Part1
  • Reading Files Part2

Module 16: More on Files

  • Module 16 File
  • More on Files

Module 17: Merging Emails

  • Module 17 File
  • Merging Emails

Module 18: Reading Console Inputs and Formatting Outputs

  • Module 18 File
  • Reading Console Inputs and Formatting Outputs

Module 19: Reading Command Line Argument

  • Module 19 File
  • Reading Command Line Argument

Module 20: Defining Functions

  • Module 20 File
  • Defining Functions

Module 21: Using Default Argument

  • Module 21 File
  • Using Default Argument

Module 22: Using Keyword and Positional Arguments

  • Module 22 File
  • Using Keyword and Positional Arguments

Module 23: Handling Exceptions

  • Module 23 File
  • Handling Exceptions

Module 24: Using Math and Random Modules

  • Module 24 File
  • Using Math and Random Modules

Module 25: Displaying Daytime Working Directory and File Metadata

  • Module 25 File
  • Displaying Daytime Working Directory and File Metadata

Modes of Learning