Python – The complete guide

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What you will learn

Lecture 3: Important

Chapter 2: Starting booster

Lecture 1: Installation

Lecture 2: Syntax

Lecture 3: Data types

Lecture 4: Variables

Lecture 5: Numbers & random

Lecture 6: Strings & some methods

Lecture 7: Input & Strings

Lecture 8: String format

Lecture 9: Operators & type conversion

Lecture 10: List & methods

Lecture 11: Tuple

Lecture 12: Dictionaries

Lecture 13: Emoji converter exemple with dictionaries

Lecture 14: Dictionaries & some methods

Lecture 15: Recap – Quick note

Lecture 16: If statement

Lecture 17: While loop

Lecture 18: While exemple with input as command

Lecture 19: For loop

Lecture 20: Nested loops

Lecture 21: Functions – *args & **kwargs

Lecture 22: Create BMI calculator with functions

Lecture 23: Classes & Objects

Lecture 24: The use of self

Lecture 25: Inheritance

Lecture 26: Modules

Lecture 27: External modules

Lecture 28: JSON with Python

Lecture 29: Regular Expressions (RegEx)

Lecture 30: Error handlign – try…except

Lecture 31: Packages

Lecture 32: External packages

Lecture 33: Pathlib

Lecture 34: File handling

Lecture 35: File handling 2

Lecture 36: File handling 3 – with statement

Chapter 3: NumPy

Lecture 1: Multi-dimensional

Lecture 2: Indexing

Lecture 3: Slicing

Lecture 4: Ownership – copy() vs view()

Lecture 5: Iteration

Lecture 6: Join & Split

Lecture 7: Search & Sort

Lecture 8: Creating functions

Lecture 9: Arithmetics

Chapter 4: Matplotlib

Lecture 1: Matplotlib

Lecture 2: Markers

Lecture 3: Labels

Lecture 4: Grid

Lecture 5: Grid with subplots

Lecture 6: Scatter

Lecture 7: Bar chart

Lecture 8: Pie chart

Chapter 5: Pandas

Lecture 1: Overview

Lecture 2: Series vs DataFrame

Lecture 3: Read JSON & CSV

Lecture 4: Clean data

Lecture 5: Clean data 2

Lecture 6: Plotting CSV or JSON data

Lecture 7: Histogram

Chapter 6: Machine Learning

Lecture 1: Info

Lecture 2: Overview

Lecture 3: KNN

Lecture 4: K-means

Lecture 5: K-means with images

Chapter 7: MySQL with Python

Lecture 1: Connection setup

Lecture 2: Use a database

Lecture 3: Insert data

Lecture 4: Select – displaying data

Lecture 5: Delete

Lecture 6: Update & highlights

Chapter 8: Django with SQLite & MySQL

Lecture 1: Django starting

Lecture 2: Creating/Adding new App

Lecture 3: Views & Urls

Lecture 4: Static files

Lecture 5: Migrations & Django admin

Lecture 6: Models & Admin App register

Lecture 7: Models & Foreign Key

Lecture 8: Accessing & displaying data from database to the frontend

Lecture 9: Views with slug

Lecture 10: New App & file upload preparation

Lecture 11: File upload

Lecture 12: Switch from SQLite to MySQL

Lecture 13: Sign up & sign in

Lecture 14: Add a form to template

Lecture 15: Sign up new user

Lecture 16: Get logged in username

Lecture 17: Page visibility / restriction

Lecture 18: Forms