Python 3 Essentials

Learn the fundamentals of Python 3

What you'll learn
Python Basics
Requirements
Basic Programming Knowledge
Description
Python today is among one of the most popular programming languages and this course will ensure that you get all your basics right about Python.Python is extensively used for Data Science and Machine Learning and is a popular choice for all things related to Data Extraction.This course helps you in building a strong Python foundation and helps you in leveraging the various opportunities that Python has to offer like Machine Learning, Data Science and Data Extraction, etc.So join this course now to hone your Python Basics skills.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Downloading and Installing Python on Windows

Lecture 3 Working with Visual Studio Code and Python

Section 2: Overview

Lecture 4 Covering the Python Syntax

Lecture 5 Python Overview-Comments and import statements

Lecture 6 Python Overview-Blocks

Lecture 7 Python Overview-String Formatting

Lecture 8 Python Overview-Variable Scope & Blocks

Lecture 9 Python Overview - Conditionals (if,else and elif)

Lecture 10 Python Overview - Loops

Lecture 11 Python Overview - Functions

Lecture 12 Pyhton Overview - Class and Objects

Section 3: Types and Values

Lecture 13 Data-Types Introduction

Lecture 14 String Formatting and Multi Lines

Lecture 15 Numeric Types - Int,Float and Decimal

Lecture 16 Bool Type

Lecture 17 Lists, Tuples and Dictionary

Lecture 18 Type and Id of items in Tuples/Lists

Section 4: Conditionals

Lecture 19 Conditional Operators

Lecture 20 Ternary Opeator

Section 5: Operators

Lecture 21 Arithmetic Operators

Lecture 22 Bitwise Operators

Lecture 23 Comparison Operators

Lecture 24 Boolean Operators

Lecture 25 Operator Precedence

Section 6: Loops

Lecture 26 Loops in Python

Lecture 27 While Loop

Lecture 28 For Loop

Lecture 29 Loop Controls - Continue, Break and Else

Section 7: Functions

Lecture 30 Introduction to Main Function

Lecture 31 Function Arguments - Call by Value and Call by reference

Lecture 32 Function - Argument List

Lecture 33 Function - Keyword Arguments

Lecture 34 Function - Return Values

Lecture 35 Function - Generators

Lecture 36 Function - Wrapper/Decorators

Section 8: Data Structures

Lecture 37 Introduction

Lecture 38 Lists and Tuples

Lecture 39 Dictionaries

Lecture 40 Sets

Lecture 41 List Comprehension

Lecture 42 Mixed Data Structure

Section 9: Classes

Lecture 43 Introduction to Classes

Lecture 44 Class - Constructor

Lecture 45 Overriding Print Method in a Class

Lecture 46 Inheritance

Lecture 47 Iterators

Section 10: Exceptions

Lecture 48 Handling Exceptions

Lecture 49 Registering Errors - Raising Exceptions

Section 11: String Objects

Lecture 50 Overview

Lecture 51 String Methods

Lecture 52 String Formatting

Lecture 53 String Splitting

Section 12: File handling

Lecture 54 File - Opening

Lecture 55 File - Text

Lecture 56 File - Binary

Section 13: Common Methods

Lecture 57 Built-in Numeric Functions

Lecture 58 Built-in String Functions

Lecture 59 Container Functions

Lecture 60 Object and Classes

Section 14: Modules

Lecture 61 Using standard Python modules

Lecture 62 Creating a module

Section 15: Database

Lecture 63 Working with Database - SQLLite3

Lecture 64 Working with Database - MySQL

Section 16: Conclusion

Lecture 65 Conclusion and Code Download

Beginner Python Developers curios about machine learning and data science