The Complete Python Bootcamp From Zero to Hero in Python

Learn Python like a Professional Start from the basics and go all the way to creating your own applications and games

4.59 (502231 reviews)
Udemy
platform
English
language
Programming Languages
category
instructor
The Complete Python Bootcamp From Zero to Hero in Python
1,890,658
students
22 hours
content
Jul 2023
last update
$189.99
regular price

What you will learn

You will learn how to leverage the power of Python to solve tasks.

You will build games and programs that use Python libraries.

You will be able to use Python for your own work problems or personal projects.

You will create a portfolio of Python based projects you can share.

Learn to use Python professionally, learning both Python 2 and Python 3!

Create games with Python, like Tic Tac Toe and Blackjack!

Learn advanced Python features, like the collections module and how to work with timestamps!

Learn to use Object Oriented Programming with classes!

Understand complex topics, like decorators.

Understand how to use both the Jupyter Notebook and create .py files

Get an understanding of how to create GUIs in the Jupyter Notebook system!

Build a complete understanding of Python from the ground up!

Why take this course?

Become a Python Programmer and learn one of employer's most requested skills of 2023!

This is the most comprehensive, yet straight-forward, course for the Python programming language on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3.

With over 100 lectures and more than 21 hours of video this comprehensive course leaves no stone unturned! This course includes quizzes, tests, coding exercises and homework assignments as well as 3 major projects to create a Python project portfolio!

Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, Scraping websites for informations, working with image files, and much more!

This course will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you!

We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we've got you covered.

We cover a wide variety of topics, including:

  • Command Line Basics

  • Installing Python

  • Running Python Code

  • Strings

  • Lists 

  • Dictionaries

  • Tuples

  • Sets

  • Number Data Types

  • Print Formatting

  • Functions

  • Scope

  • args/kwargs

  • Built-in Functions

  • Debugging and Error Handling

  • Modules

  • External Modules

  • Object Oriented Programming

  • Inheritance

  • Polymorphism

  • File I/O

  • Advanced Methods

  • Unit Tests

  • and much more!

You will get lifetime access to over 100 lectures plus corresponding Notebooks for the lectures!

This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back. Plus you will keep access to the Notebooks as a thank you for trying out the course!

So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Content

Course Overview

Course Introduction
Course Curriculum Overview
Python 2 versus Python 3
Course FAQs

Python Setup

Command Line Basics
Installing Python (Step by Step)
Running Python Code
Getting the Notebooks and the Course Material
Git and Github Overview (Optional)

Python Object and Data Structure Basics

Introduction to Python Data Types
Python Numbers
Numbers: Simple Arithmetic
Numbers - FAQ
Numbers Quiz
Variable Assignments
Introduction to Strings
Quick Print Check
Indexing and Slicing with Strings
String Indexing
String Slicing
String Properties and Methods
Strings -FAQ
Strings Quiz
Print Formatting with Strings
Print Formatting FAQs
Print Formatting
Lists in Python
Lists
Lists - FAQ
Lists Quiz
Dictionaries in Python
Dictionaries
Dictionaries - FAQ
Dictionaries Quiz
Tuples with Python
Tuples Quiz
Sets in Python
Sets
Booleans in Python
Sets and Booleans Quiz
I/O with Basic Files in Python
File I/O
Resources for More Basic Practice
Python Objects and Data Structures Assessment Test Overview
Python Objects and Data Structures Assessment Test Solutions

Python Comparison Operators

Comparison Operators in Python
Chaining Comparison Operators in Python with Logical Operators
Comparison Operators Quiz

Python Statements

If Elif and Else Statements in Python
For Loops in Python
While Loops in Python
Useful Operators in Python
List Comprehensions in Python
Python Statements Test Overview
Python Statements Test Solutions

Methods and Functions

Methods and the Python Documentation
Functions in Python
Overview of Quick Function Exercises #1-10
Functions #1: print Hello World
Functions #2: print Hello Name
Functions #3 - simple Boolean
Functions #4 - using Booleans
Functions #5: simple math
Functions #6: is even
Functions #7: is greater
*args and **kwargs in Python
Functions #8: *args
Functions #9: pick evens
Functions #10: skyline
Function Practice Exercises - Overview
Function Practice Exercises - Solutions
Function Practice - Solutions Level One
Function Practice - Solutions Level Two
Function Exercise Solutions - Challenge Problem
Lambda Expressions, Map, and Filter Functions
Nested Statements and Scope
Functions and Methods - Homework Assignment
Hints and Tips for Functions and Methods Assignment
Functions and Methods Homework - Solutions

Milestone Project - 1

First Python Milestone Project Overview
Milestone Project Help
Solution Overview for MileStone Project 1 - Part One
Solution Overview for MileStone Project 1 - Part Two
Advanced Project Solution Overview

Object Oriented Programming

Object Oriented Programming - Introduction
Object Oriented Programming - Attributes and Class Keyword
Object Oriented Programming - Class Object Attributes and Methods
Object Oriented Programming - Inheritance and Polymorphism
Object Oriented Programming - Special (Magic/Dunder) Methods
Object Oriented Programming - Homework
Object Oriented Programming - Homework Solutions
Object Oriented Programming - Challenge Overview
Object Oriented Programming - Challenge Solution

Modules and Packages

Pip Install and PyPi
Modules and Packages
__name__ and "__main__"

Errors and Exceptions Handling

Errors and Exception Handling
Errors and Exceptions Homework
Errors and Exception Homework - Solutions
Pylint Overview
Running tests with the Unittest Library

Milestone Project - 2

Milestone Project 2 Overview
Solution Walkthrough - Card and Deck classes
Solution Walkthrough - Hand and Chip Classes
Solution Walkthrough - Functions for Game Play
Solutions Walkthrough - Final Gameplay Script

Python Decorators

Decorators with Python Overview
Decorators Homework

Python Generators

Generators with Python
Generators Homework Overview
Generators Homework Solutions

Final Capstone Python Project

Final Capstone Project

Advanced Python Modules

Collections Module - counter
Collections Module - defaultdict
Collections Module - OrderedDict
Collections Module - namedtuple
Datetime
Python Debugger - pdb
Timing your code - timeit
Regular Expressions -re
StringIO
Advanced Python Modules FAQ

Advanced Python Objects and Data Structures

Advanced Numbers
Advanced Strings
Advanced Sets
Advanced Dictionaries
Advanced Lists
Advanced Python Objects Assessment Test
Advanced Python Objects Test - Solutions

Bonus Material - Introduction to GUIs

Introduction to GUIs
Quick note about ipywidgets
Interact Functionality with GUIs
GUI Widget Basics
List of Possible Widgets
Widget Styling and Layouts
Example of what a Widget can do!

APPENDIX: OLDER PYTHON 2 MATERIAL

NOTE ABOUT THIS SECTION
How to Approach This Course
Python 2 vs Python 3
Jupyter Notebook Installation
FAQ - Notebooks
Numbers
IDE Selection
Strings
Print Formatting
Lists
Dictionaries
Files
Sets and Booleans
Tuples
Objects and Data Structures Assessment Test
Objects and Data Structures Assessment - Solutions
Comparison Operators
Chained Comparison Operators
Introduction to Python Statements
if, elif, and else Statements
for Loops
while Loops
range()
List Comprehensions
Statements Assessment Test
Statements Assessment Solutions
Methods
Functions
lambda expressions
Nested Statements and Scope
Milestone Project 1 Section
Milestone Project 1 -Assignment Overview
Milestone Project 1 - Solution Walkthrough - Part 1
Milestone Project 1 - Solution Walkthrough - Part 2
Milestone Project 1 - Solution Walkthrough - Part 3
OOP - Part 1 - Objects
OOP - Part 2 - Classes
OOP - Part 3 -Methods
OOP - Part 4 - Inheritance
OOP - Part 5 - Special Methods
OOP Homework Assignment
OOP Homework Solution
Errors and Exceptions
Exception Handling: try, except, finally
Errors and Exceptions Homework
Errors and Exceptions - Solutions
Modules, Packages, and Imports
Modules and Packages Assignment
Create your own Python modules.
Project Overview
Project 2 Solution
Python 3 Notes for Map, Reduce, and Filter
Map
Reduce
Filter
Zip
Enumerate
all() and any()
Complex
Built-in Functions Assessment Test
Built-in Functions Assessment Test Solutions
Decorators - Part 1
Decorators - Part 2
Decorators - Part 3
Iteration vs Generation
Creating Generators
Iterators and Generators Homework
Iterators and Generators Homework - Solutions
Interact
Widget Basics
Widget Events
Widget List
Widget Styling
Custom Widget Example

BONUS SECTION: THANK YOU!

BONUS LECTURE

Screenshots

The Complete Python Bootcamp From Zero to Hero in Python - Screenshot_01The Complete Python Bootcamp From Zero to Hero in Python - Screenshot_02The Complete Python Bootcamp From Zero to Hero in Python - Screenshot_03The Complete Python Bootcamp From Zero to Hero in Python - Screenshot_04

Our review

πŸ† **Course Rating:** 4.59/5 - Based on recent reviews ## Overall Course Review The course has received high praise for its comprehensive approach to teaching Python, covering topics from the very basics to more advanced concepts. The majority of reviewers found the course content informative and well-explained, with a particular highlight on the instructor's ability to convey complex ideas clearly. ### Pros: - **Structured Learning Path:** The course is lauded for its structured approach that takes learners from the basics to advanced topics, ensuring a solid understanding of Python. - **Engaging Exercises:** The exercises at the end of lessons are reported to be both fun and effective in helping apply the concepts covered. - **Clear Explanations:** Many reviewers appreciate the clear and understandable explanations provided by the instructor, making even the most complex topics accessible. - **Great for Beginners:** This course is highly recommended for absolute beginners who have no prior programming knowledge. - **Real-World Application:** The course prepares learners to apply Python in various fields, including data analytics, which is a significant draw for aspiring data professionals. - **Inclusivity:** The course materials are made available in perpetuity, allowing learners to return to the course as needed and download resources like notes for personal use. - **Value for Money:** Several reviewers emphasize that the course represents good value for the cost compared to free resources on YouTube or other platforms. ### Cons: - **Outdated Content:** Some users were disappointed to find that the course content was still based on Python 3.6, which has been out of support since 2021, despite the course claiming to be up-to-date with a 2023 title. - **Technical Issues:** A few reviewers experienced issues with the GitHub notebooks and Discord links provided, which affected their learning experience. - **Pacing Confusion:** Initially, some learners found the course confusing due to a sudden spike in difficulty level. - **Lack of Practical Application:** One user felt that despite extensive theory, there was a lack of practical application and real-world projects to work on. - **Preference for Other Learning Methods:** A couple of reviewers preferred reading books at their own pace or had difficulties with the course format. - **Annoying Mobile App Experience:** Some users reported frustration with the mobile app version, as it skipped videos when switching between lecture and video list. ## Course Impact and Recommendations: This Python course has made a significant impact on many learners, providing them with a strong foundation in Python programming. It is recommended for those starting out as absolute beginners and for anyone looking to build a solid understanding of Python's fundamentals before venturing into more specialized areas like machine learning or data science. While the course has some drawbacks such as outdated content and technical issues, the positive feedback on the quality of instruction and the comprehensive coverage of Python concepts far outweigh these concerns. πŸ“š **Final Thought:** This course is a valuable resource for those looking to learn Python from scratch or to deepen their understanding of the language's core principles. However, it is advisable to verify the current version of Python covered and ensure that all technical resources are functioning correctly before starting the course.

Coupons

DateDiscountStatus
5/12/201995% OFF
expired
8/25/202094% OFF
expired
4/29/202292% OFF
expired

Charts

Price

The Complete Python Bootcamp From Zero to Hero in Python - Price chart

Rating

The Complete Python Bootcamp From Zero to Hero in Python - Ratings chart

Enrollment distribution

The Complete Python Bootcamp From Zero to Hero in Python - Distribution chart

Related Topics

567828
udemy ID
7/29/2015
course created date
3/9/2019
course indexed date
Bot
course submited by