The Complete Python Course 2024 | Udemy Free Download

The Complete Python Course 2024 | Udemy
English | Size: 16.06 GB
Genre: eLearning

The most COMPREHENSIVE + UP TO DATE Python Course. Free 980 page book version of course included +Python in Excel +Mojo

What you’ll learn
Learn Python from scratch. There are 4 tracks depending on how much experience the student has with programming.
Go from absolute beginner to expert in this comprehensive course.
Learn NEW Python coding features that were just introduced; this is the MOST UP TO DATE Python course on the market.
Also included is the next generation Python language (Mojo), how to use Python in Excel and much more.
A free 980 page book version of the course is included and is only available to students that take this course.
Learn Python Data Types and Variables
Learn Python Math (Meaning Operators) and “Strings”
Learn Python Built in Functions & Creating Basic Functions
Learn Python’s List Data Type and the Sum Function
Learn Python Logic and Loops
Learn Python Tuples, Dictionaries and Sets
Learn Python Methods and Advanced Strings
Learn Python Object Oriented Programming (OOP) & Classes
Learn Python NumPy (Numerical Python)
Learn Python Pandas and Polars
Learn Python Data Processing and ETL (Extract, Transform and Load)
Learn Python Writing Clean and Efficient Code Processes
Learn Python in Excel
Learn Mojo
Learn All Built-In Python Functions

Welcome to the The Complete Python Course 2024, which is the most COMPREHENSIVE and UP TO DATE Python course with many exercises and resources.

The course also includes a 980 page book version of the course for free, which is only available to students who take this course.

This course teaches new features introduced in Python; the course also includes how to use the next generation version of Python called Mojo, how to use Python in Excel and much more. No experience in Python or with programming is required to take this course. There is a 30 day money back guarantee, so you have nothing to lose and everything to gain. Please watch the comprehensive promotional video trailer for an outline of the course.

Anyone can take this course as this comprehensive course has 4 tracks as follows:

Beginner Track for students that have no experience with programming

Intermediate Track for students that have some programming experience, but no Python experience

[G] Genius Track for students that have some Python experience, but want to learn more advanced and brand new Python concepts.

[A] All Track for students who want to take the whole course and go from knowing nothing about Python to becoming a master of Python!

After taking this course you be able to take your career or business to the next level by thoroughly understanding Python.

COURSE OUTLINE: Level 1 of 17: Intro, How to Take the Course, Access Free Python Book & Our First Exercise

Welcome, How to Take the Course and How to Download the Free Python Book

Introduction to Python (What, Why and How of Level 1)

How to Use Python Online Using Google Colab for Free

Exercise 1.1: Our First Python Code: “Hello World”

Answer 1.1: Our first Python Code: “Hello World”

Optional Lecture: Who Uses Python & What are the Pros & Cons of Python?

Quiz for Level 1

Level 2: Data Types and Variables

Intro to Data Types and Variables (What, Why and How of Level 2)

How to Code Data Types & Variables in Python (String+Integer Variables)

Exercise 2.1: Using String and Integer Data Types

Answer 2.1: Using String and Integer Data Types

Floating and Boolean Data Types

Exercise 2.2: Using Floating and Boolean Data Types

Answer 2.2: Using Floating and Boolean Data Types

How to Change the Content or Data Type of a Variable (“Casting”)

Exercise 2.3: How to Change the Content or Type of a Variable

Answer 2.3: How to Change the Content or Type of a Variable

Level 2 Final Exercise: Currency Converter

Level 2 Final Exercise Answer: Currency Converter

Quiz for Level 2

Level 3: Python Math (Meaning Operators) and “Strings”

Intro to Python Math (Operators) & Strings (What, Why & How of Level 3)

Arithmetic Rules in Python

Exercise 3.1: Arithmetic Rules in Python

Answer 3.1: Arithmetic Rules in Python

Stringing Together Variables

Exercise 3.2: Stringing Together Variables

Answer 3.2: Stringing Together Variables

Level 3 Final Exercise: Simple Interest Calculator for a Savings Account

Level 3 Final Exercise Answer

Quiz for Level 3

Level 4: Built in Functions & Creating Basic Functions

Intro to Built-In/Creating Functions (What, Why & How of Level 4)

Basic Built in Python Functions that Use Math

Exercise 4.1: Built in Functions that Use Math

Answer 4.1: Built in Functions that Use Math

Input Built in Python Function

Exercise 4.2: Input Built in Python Function

Answer 4.2: Input Built in Python Function & Stringing Together Objects

Creating Basic Custom Functions Part 1

Exercise 4.3: Creating Custom Functions Part 1

Answer 4.3: Creating Custom Functions Part 1

Creating Basic Custom Functions Part 2

Exercise 4.4: Creating Basic Custom Functions Part 2

Answer 4.4: Creating Basic Custom Functions Part 2

Creating Advanced Functions (Keyword and Default Values)

Exercise 4.5: Creating Advanced Functions Keyword and Default Values)

Answer 4.5: Creating Advanced Functions (Keyword and Default Values)

Returning Values from Custom Functions

Exercise 4.6: Returning Values from Custom Functions

Answer 4.6: Returning Values from Custom Functions

Level 4 Final Exercise: Simple Calculator with Functions

Level 4 Final Exercise Answer: Simple Calculator with Functions

Quiz for Level 4

Level 5: The List Data Type and the Sum Function

Intro to List Data Type (What, Why and How of Level 5)

How Does the List Data Type Work (and Using the SUM Function)?

Exercise 5.1: The List Data Type Work (and Using the SUM Function)

Answer 5.1: The List Data Type Work (and Using the SUM Function)

Level 5 Final Exercise: Grocery Shopping List

Level 5 Final Exercise Answer: Grocery Shopping List

Quiz for Level 5

Level 6: Logic and Loops

Intro to Logic and Loops (What, Why and How of Level 6)

The IF, ELSE Statement

Exercise 6.1: The IF, ELSE Statement

Answer 6.1: The IF, ELSE Statement

Using A Nested IF Statement

Exercise 6.2: Using A Nested IF Statement

Answer 6.2: Using A Nested IF Statement

Using ELIF in an IF Statement and the OR & AND Logic

Exercise 6.3: Using ELIF in an IF Statement and the OR & AND Logic

Answer 6.3: Using ELIF in an IF Statement and the OR & AND Logic

Using the MATCH and CASE Logic

Exercise 6.4: Using the MATCH and CASE Logic

Answer 6.4: Using the MATCH and CASE Logic

Formatting

Exercise 6.5: Formatting

Answer 6.5: Formatting

Slicing

Exercise 6.6: Slicing

Answer 6.6: Slicing

For Loop

Exercise 6.7: For Loop

Answer 6.7: For Loop

While Loop

Exercise 6.8: While Loop

Answer 6.8: While Loop

Level 6 Final Exercise: Time Tracker for Tasks

Level 6 Final Exercise Answer: Time Tracker for Tasks

Quiz for Level 6

Level 7: 3 More Data Types: Tuple, Dictionary and Set

Intro to More Data Types (What, Why and How of Level 7)

Tuples Explained How is it Different from a List?

Exercise 7.1: Tuples

Answer 7.1: Tuples

Introduction to Dictionaries

Dictionary Methods/Functionality

Exercise 7.2: Dictionaries

Answer 7.2: Dictionaries

Introduction to Sets

Exercise 7.3: Sets

Answer 7.3: Sets

Level 7 Final Exercise: Restaurant Menu Manager

Level 7 Final Exercise Answer: Restaurant Menu Manager

Quiz for Level 7

Level 8: Methods and Advanced Strings

Intro to Methods and Advanced Strings (What, Why and How of Level 8)

What is a Method and How do Get the Methods for An Object?

Exercise 8.1: Methods

Answer 8.1: Methods

String Methods

Exercise 8.2: String Methods

Answer 8.2: String Methods

Advanced String Operations

Exercise 8.3: Advanced String Operations

Answer 8.3: Advanced String Operations

[G/A] Lambda Functions & Map

[G/A] Recursion

Level 8 Final Exercise: Customer Support Chat Log Analysis

Level 8 Final Exercise Answer: Customer Support Chat Log Analysis

Quiz for Level 8

Level 9: Object Oriented Programming (OOP) & Classes

Intro to OOP (What, Why and How of Level 9)

Understanding Classes and Instances

Exercise 9.1: Creating Your First Class and Instance

Answer 9.1: Creating Your First Class and Instance

Defining Methods in a Class

Understanding Self in Python

Class Attributes Versus Instance Attributes

Exercise 9.2: Classes, Instances and Attributes

Answer 9.2: Classes, Instances and Attributes

Inheritance: Extending Functionality

Encapsulation: Hiding Information

Exercise 9.3: Implementing Encapsulation

Answer 9.3: Implementing Encapsulation

Understanding Magic Dunder Methods

[G/A] Understanding Composition and Aggregation

[G/A] Level 9 Final Exercise: Simple Bank Account Manager

[G/A] Level 9 Final Exercise Answer: Simple Bank Account Manager

Quiz for Level 9

Level 10 Mastering NumPy (Numerical Python)

Intro to NumPy (What, Why and How of Level 10)

Libraries Explained and Installing NumPy

Arrays Data Type

NumPy Array Creation Methods

Operations with Arrays

Slicing NumPy Arrays

Exercise/Project 10.1: Slicing and Indexing with NumPy

Answer 10.1: Slicing and Indexing with NumPy

Loops Versus Vectorization

Exercise/Project 10.2: Vectorization

Answer 10.2: Vectorization

Universal Functions

Conditional Filtering

Reshaping Arrays

Handling Missing Values Using NumPy

File Handling

Quiz for Level 10

Level 11: Pandas and Polars

Intro to Pandas & Polars (What, Why and How of Level 11)

Installing Pandas and Polars

Loading Data Using Pandas and Polars

Reading Data in Different Ways

Exercise 11.1: First Pandas/Polars Exercise

Answer 11.1: First Pandas/Polars Exercise

Understanding Series

Dataframe Operations

Dealing with Missing Data

Map and Transform

Merging and Joining

Exercise 11.2: Second Pandas/Polars Exercise

Answer 11.2: Second Pandas/Polars Exercise

Strings

Sales Data Visualization

Exercise 11.3: Third Pandas/Polars Exercise

Answer 11.3: Third Pandas/Polars Exercise

Quiz for Level 11

Level 12: Data Processing and ETL (Extract, Transform and Load)

Intro to Data Processing and ETL (What, Why and How of Level 12)

Data Cleaning Part 1

Data Cleaning Part 2

Label Encoder and Data Transformation Part 1

Label Encoder and Data Transformation Part 2

Label Encoder and Data Transformation Part 3

Handling Imbalanced Data

Data Partitioning

Quiz for Level 12

Level 13: Writing Clean and Efficient Code

Intro to Writing Clean/Efficient Code (What, Why and How of Level 13)

Clean and Modular Code

Python Naming Conventions

Documentation

Testing Your Code

Working with Teams on GitHub

Questionnaire on How to Conduct a Code Review

Quiz for Level 13

Level 14: Using Python in Excel

Introduction to Using Python in Excel (What, Why and How of Level 14)

How to Install Python In Excel

How to Use Python In Excel

Exercise 14.1: Using Python in Excel

Answer 14.1: Using Python in Excel

Using Dataframes with Python in Excel

Exercise 14.2: Using Python Dataframes in Excel

Answer 14.2: Using Python Dataframes in Excel

How to Create a Linear Regression Using Python In Excel

Exercise 14.3: Using Python and Excel to Create a Regression Analysis

Answer 14.3: Using Python and Excel to Create a Regression Analysis

Quiz for Level 14

[G/A] Level 15: Mojo

[G/A] Intro to Mojo (What, Why and How of Level 15)

[G/A] What is Mojo and Why is it a Gamer Changer for Python Developers?

[G/A] Complied Versus Interpreted Programming When it Comes to Mojo

[G/A] Coding with Mojo

[G/A] Variables in Mojo (Mutability and Immutability)

[G/A] Data Types in Mojo

[G/A] Else If in Mojo

[G/A] Loops in Mojo

[G/A] Functions in Mojo

[G/A] Struct Versus Class In Mojo

[G/A] Error Handling in Mojo

[G/A] “Inout, Borrowed and Owned” in Mojo

[G/A] Importing NumPy in Mojo

[G/A] Quiz for Level 15

Level 16: All Built-In Python Functions

Intro to All Built-In Python Functions (What, Why and How of Level 16)

Absolute Value Built-In Function: abs( )

All Built-In Function: all( )

Any Built-In Function: any( )

[G/A] ASCII Built-In Function: ascii( )

[G/A] Bin Built-In Function: bin( )

Bool Built-In Function: bool( )

Breakpoint Built-In Function: breakpoint( )

[G/A] Bytearray Built-In Function: bytearray( )

[G/A] Bytes Built-In Function: bytes( )

Callable Built-In Function: callable( )

Chr Built-In Function: chr( )

Classmethod Built-In Function: classmethod( )

[G/A] Compile Built-In Function: compile( )

[G/A] Complex Built-In Function: complex( )

Dict Built-In Function: dict( )

Dir Built-In Function: dir( )

Divmod Built-In Function: divmod( )

[G/A] Enumerate Built-In Function: enumerate( )

Eval Built-In Function: eval( )

Exec Built-In Function: exec( )

Filter Built-In Function: filter( )

Float Built-In Function: float( )

Format Built-In Function: format( )

Frozenset Built-In Function: frozenset( )

Hash Built-In Function: hash( )

Help Built-In Function: help( )

Hex Built-In Function: hex( )

ID Built-In Function: id( )

Input Built-In Function: input( )

Int Built-In Function: int( )

[G/A] Isinstance Built-In Function: isinstance( )

Issubclass Built-In Function: issubclass( )

Iter Built-In Function: iter( )

Len Built-In Function: len( )

List Built-In Function: list( )

[G/A] Map Built-In Function: map( )

Max Built-In Function: Max( )

Min Built-In Function: Min( )

Next Built-In Function: next( )

[G/A] Oct Built-In Function: oct( )

Open Built-In Function: open( )

Ord Built-In Function: ord( )

Pow Built-In Function: pow( )

Print Built-In Function: print( )

Range Built-In Function: range( )

Repr Built-In Function: repr( )

Reversed Built-In Function: reversed( )

Round Built-In Function: round( )

Set Built-In Function: set( )

Slice Built-In Function: slice( )

Sorted Built-In Function: sorted( )

Str Built-In Function: str( )

Sum Built-In Function: sum( )

Tuple Built-In Function: tuple( )

Type Built-In Function: type( )

Zip Built-In Function: zip( )

Level 17: Conclusion, Next Steps and Additional Python Topics

CONGRATULATIONS & Next Steps!

By the end of this comprehensive course, you will be armed and ready to take your career or business to the next level using Python. No experience in Python or with programming is required to take this course. There is a 30 day money back guarantee, so you have nothing to lose and everything to gain.

Thanks,
Chris Haroun and Luka Anicin

Who this course is for:
This course is for anyone interested in learning beginner, intermediate or advanced Python skills (no programming experience is required).

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