Python Beginner Complete Masterclass

What you'll learn
Be able to write Python scripts and programs
Understand Python Data Types and Data Structures
Understand Python Functions, Lambda and Decorators
Learn OOP(Object Oriented Programming) and Python Classes
Create and use Python Modules
Use pip and PyPI to set up a virtualenv and install modules
Read and Write to Files with Python
Requirements
Must have basic computer skills, and a desire to learn Python basics
May be easier with some Powershell or Bash shell experience, but we will cover the necessities
Description
This course is up to date with the latest Python version 3.11.The whole course also only uses resources that are available to all operating systems so that you can follow along from Windows, Linux or MacOS.Why take this course?There are a lot of Python courses our there, so why take this one?While you may get sick of looking at me, studies have shown that being able to see someone while they are talking improves comprehension and understanding, which is why I will be in the corner of each video unlike most courses.The Video and Audio quality of this course is high which will also make it easier to follow.In this course we will put things in an order that makes sense, and focus on a complete understanding of Python basics.Learning Path:In this course we are going to start from nothing and build a strong foundation to prepare you to understand and work with the Python programming language.Install and Getting StartedVariables Operators and Conditional StatementsAfter we have a foundational understanding of how to write some Python code, we take our first steps to manage basic variables and create procedural programming logicData StructuresLoopsFile InteractionOnce we have an understanding of procedural logic and workflows we can start making things more powerful and reusable with Functions and ClassesFunctions Classes & OOPAnd finally after we have made our logic dynamic, we can also make our programs themselves dynamic by breaking up our code into multiple Modules, and talking about how we can add common modules to our projectsModulespip & virtualenvIf you are new to software development, congratulations on starting your journey to become a developer! I look forward to seeing you inside!
Overview
Section 1: Introduction
Lecture 1 Welcome!
Lecture 2 Install List
Lecture 3 Install Python Windows
Lecture 4 Install Python MacOS
Lecture 5 Install Python Linux
Lecture 6 Install VS Code
Lecture 7 Get Code Repository
Lecture 8 Hello World
Section 2: Variables
Lecture 9 Variables Theory
Lecture 10 Numeric Variable Types
Lecture 11 Non-Numeric Types
Lecture 12 Multiple Assignment
Section 3: Operators & Conditionals
Lecture 13 Operators & Conditionals Theory
Lecture 14 Math Operators
Lecture 15 Conditional Statements
Lecture 16 try & except
Lecture 17 if & elif & else
Lecture 18 walrus
Lecture 19 match & case
Section 4: Data Structures
Lecture 20 Data Structures Theory
Lecture 21 Lists part 1 - declare, add and remove
Lecture 22 Lists part 2 - split, join & replace
Lecture 23 Lists part 3 - sort
Lecture 24 Lists part 4 - slice
Lecture 25 Lists part 5 - splat
Lecture 26 Lists part 6 - search and filter
Lecture 27 Sets
Lecture 28 Ranges
Lecture 29 Matrices
Lecture 30 Dictionaries
Lecture 31 Tuples
Section 5: Loops
Lecture 32 Loops Theory
Lecture 33 for
Lecture 34 while
Lecture 35 continue
Lecture 36 break
Section 6: File Interactions
Lecture 37 File Interaction Theory
Lecture 38 write
Lecture 39 read
Lecture 40 JSON parsing
Lecture 41 Names JSON
Lecture 42 JSON from a file
Lecture 43 JSON Analysis
Lecture 44 JSON to CSV part 1
Lecture 45 Dynamic JSON
Lecture 46 JSON to CSV part 2 - dynamic
Section 7: Functions
Lecture 47 Functions Theory
Lecture 48 Basic Function
Lecture 49 Arguments
Lecture 50 return assignment
Lecture 51 return
Lecture 52 *args assignment
Lecture 53 *args
Lecture 54 **kwargs assignment
Lecture 55 **kwargs
Lecture 56 / & * assignment
Lecture 57 / & * arguments
Lecture 58 Dynamic Functions assignment
Lecture 59 Dynamic Functions part 1 - Function as an argument
Lecture 60 Dynamic Functions part 2 - returning a function
Lecture 61 Decorators assignment
Lecture 62 Decorators
Section 8: Classes
Lecture 63 Classes Theory
Lecture 64 Basic Class assignment
Lecture 65 Simple Class
Lecture 66 __init__ assignment
Lecture 67 Constructors
Lecture 68 Methods assignment
Lecture 69 Methods
Lecture 70 Inheritance assignment
Lecture 71 Inheritance
Lecture 72 super assignment
Lecture 73 super
Lecture 74 Multiple Inheritance assignment
Lecture 75 Multiple Inheritance
Section 9: Modules
Lecture 76 Modules Theory
Lecture 77 Local Modules
Lecture 78 Virtual Environment Commands
Lecture 79 Virtual Environments
Lecture 80 Module install and freeze
Lecture 81 numpy test
Section 10: Congratulations
Lecture 82 Congratulations!
Beginners with no Programming Experience,Anyone who wants to learn the Python Programming Language,Programmers who want to get a deeper foundational understanding of Python

Homepage

https://www.udemy.com/course/python-beginner-complete-masterclass/