Course curriculum

  • 1

    Chapter 1

    • Welcome to Crisp Metrics Post Graduate Program in Python with Machine Learning

  • 2

    Getting Started

    • Installing Python through Anaconda

    • Writing & Execution first Python Script

    • Our first program in IDLE

    • Writing & executing python script in IDLE through anaconda

    • Commenting in Python

  • 3

    Variables

    • Introduction to Variables

    • Introduction to Data Type

  • 4

    Standard Types in Python

    • Introduction to Strings

    • Strings & Combination of Methods

    • Integers & Float

    • 4. List

    • Tuples

    • Dictonary

  • 5

    Untitled chapter

    • Basic List Manipulation

    • List Slicing

    • Looping & Copying a list

    • List Method - I

    • List Method - II

  • 6

    User Input & Casting

    • Input Function

    • Casting input function

  • 7

    Basic Operation in Python

    • Introduction to Math

    • Introduction to Precedence

  • 8

    Control Structure

    • If Statement

    • Else Statment

    • Elif Statement

    • For Loop

    • While Loop

    • Time Table Project

  • 9

    Functions & Lambda Functions

    • Creating Function

    • Function Argument

    • Function Default Argument

    • Lambda Functions

  • 10

    Object Oriented Programming

    • Introduction

    • Accessing Class Attributes

    • Creating Classes

    • Initiating Instances of a Class

    • Accessing Class Method

    • Multiple Instances of a Class

  • 11

    Python Modules

    • Creating Modules

    • Using Modules

    • Standard Modules

    • Statistic Modules

    • The Dice Game

  • 12

    File Processing in Python

    • Creating and writing to file

    • Appending to File

    • Reading a File

  • 13

    Exception Handling

    • Try Except

    • Finally Block