The Complete Python Bootcamp From Zero To Hero In Python

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The Complete Python Bootcamp From Zero To Hero In Python
Published 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.85 GB | Duration: 14h 58m​

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

What you'll learn

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

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

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

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

Understand complex topics, like decorators.

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

You will build games and programs that use Python libraries.

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

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

Learn to use Object Oriented Programming with classes!

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

Build a complete understanding of Python from the ground up!

Requirements

Access to a computer with an internet connection.

Description

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 BasicsInstalling PythonRunning Python CodeStringsListsDictionariesTuplesSetsNumber Data TypesPrint FormattingFunctionsScopeargs/kwargsBuilt-in FunctionsDebugging and Error HandlingModulesExternal ModulesObject Oriented ProgrammingInheritancePolymorphismFile I/OAdvanced MethodsUnit Testsand 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 guaranteed by Udemy! 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!

Overview

Section 1: Course Overview

Lecture 1 Auto-Welcome Message

Lecture 2 Course Introduction

Lecture 3 Course Curriculum Overview

Lecture 4 Why Python?

Lecture 5 Course FAQs

Section 2: Python Setup

Lecture 6 Command Line Basics

Lecture 7 Installing Python (Step by Step)

Lecture 8 Running Python Code

Lecture 9 Getting the Notebooks and the Course Material

Lecture 10 Git and Github Overview (Optional)

Section 3: Python Object and Data Structure Basics

Lecture 11 Introduction to Python Data Types

Lecture 12 Python Numbers

Lecture 13 Numbers: Simple Arithmetic

Lecture 14 Numbers - FAQ

Lecture 15 Numbers Quiz

Lecture 16 Variable Assignments

Lecture 17 Introduction to Strings

Lecture 18 Quick Print Check

Lecture 19 Indexing and Slicing with Strings

Lecture 20 String Indexing

Lecture 21 String Slicing

Lecture 22 String Properties and Methods

Lecture 23 Strings -FAQ

Lecture 24 Strings Quiz

Lecture 25 Print Formatting with Strings

Lecture 26 Print Formatting FAQs

Lecture 27 Print Formatting

Lecture 28 Lists in Python

Lecture 29 Lists

Lecture 30 Lists - FAQ

Lecture 31 Lists Quiz

Lecture 32 Dictionaries in Python

Lecture 33 Dictionaries

Lecture 34 Dictionaries - FAQ

Lecture 35 Dictionaries Quiz

Lecture 36 Tuples with Python

Lecture 37 Tuples Quiz

Lecture 38 Sets in Python

Lecture 39 Sets

Lecture 40 Booleans in Python

Lecture 41 Sets and Booleans Quiz

Lecture 42 I/O with Basic Files in Python

Lecture 43 File I/O

Lecture 44 Resources for More Basic Practice

Lecture 45 Python Objects and Data Structures Assessment Test Overview

Lecture 46 Python Objects and Data Structures Assessment Test Solutions

Section 4: Python Comparison Operators

Lecture 47 Comparison Operators in Python

Lecture 48 Chaining Comparison Operators in Python with Logical Operators

Lecture 49 Comparison Operators Quiz

Section 5: Python Statements

Lecture 50 If Elif and Else Statements in Python

Lecture 51 For Loops in Python

Lecture 52 While Loops in Python

Lecture 53 Useful Operators in Python

Lecture 54 List Comprehensions in Python

Lecture 55 Python Statements Test Overview

Lecture 56 Python Statements Test Solutions

Section 6: Methods and Functions

Lecture 57 Methods and the Python Documentation

Lecture 58 Introduction to Functions

Lecture 59 def Keyword

Lecture 60 Basics of Python Functions

Lecture 61 Logic with Python Functions

Lecture 62 Tuple Unpacking with Python Functions

Lecture 63 Interactions between Python Functions

Lecture 64 Overview of Quick Function Exercises #1-10

Lecture 65 Quick Check on Solutions Link

Lecture 66 Functions #1: print Hello World

Lecture 67 Functions #2: print Hello Name

Lecture 68 Functions #3 - simple Boolean

Lecture 69 Functions #4 - using Booleans

Lecture 70 Functions #5: simple math

Lecture 71 Functions #6: is even

Lecture 72 Functions #7: is greater

Lecture 73 *args and **kwargs in Python

Lecture 74 Functions #8: *args

Lecture 75 Functions #9: pick evens

Lecture 76 Functions #10: skyline

Lecture 77 Function Practice Exercises - Overview

Lecture 78 Function Practice Exercises - Solutions

Lecture 79 Function Practice - Solutions Level One

Lecture 80 Function Practice - Solutions Level Two

Lecture 81 Function Exercise Solutions - Challenge Problem

Lecture 82 Lambda Expressions, Map, and Filter Functions

Lecture 83 Nested Statements and Scope

Lecture 84 Methods and Functions Homework Overview

Lecture 85 Methods and Functions Homework - Solutions

Section 7: Milestone Project - 1

Lecture 86 Introduction to Warm Up Project Exercises

Lecture 87 Displaying Information

Lecture 88 Accepting User Input

Lecture 89 Validating User Input

Lecture 90 Simple User Interaction

Lecture 91 First Python Milestone Project Overview

Lecture 92 Milestone Project Help

Lecture 93 Solution Overview for MileStone Project 1 - Part One

Lecture 94 Solution Overview for MileStone Project 1 - Part Two

Section 8: Object Oriented Programming

Lecture 95 Object Oriented Programming - Introduction

Lecture 96 Object Oriented Programming - Attributes and Class Keyword

Lecture 97 Object Oriented Programming - Class Object Attributes and Methods

Lecture 98 Object Oriented Programming - Inheritance and Polymorphism

Lecture 99 Object Oriented Programming - Special (Magic/Dunder) Methods

Lecture 100 Object Oriented Programming - Homework

Lecture 101 Object Oriented Programming - Homework Solutions

Lecture 102 Object Oriented Programming - Challenge Overview

Lecture 103 Object Oriented Programming - Challenge Solution

Section 9: Modules and Packages

Lecture 104 Pip Install and PyPi

Lecture 105 Modules and Packages

Lecture 106 __name__ and "__main__"

Section 10: Errors and Exceptions Handling

Lecture 107 Errors and Exception Handling

Lecture 108 Errors and Exceptions Homework

Lecture 109 Errors and Exception Homework - Solutions

Lecture 110 Update for Pylint Users

Lecture 111 Pylint Overview

Lecture 112 Running tests with the Unittest Library

Section 11: Milestone Project - 2

Lecture 113 Introduction to Milestone Project 2 Section Warmup

Lecture 114 Card Class

Lecture 115 Deck Class

Lecture 116 Player Class

Lecture 117 Game Logic - Part One

Lecture 118 Game Logic - Part Two

Lecture 119 Game Logic - Part Three

Lecture 120 Milestone Project 2 Overview

Lecture 121 Solution Walkthrough - Card and Deck classes

Lecture 122 Solution Walkthrough - Hand and Chip Classes

Lecture 123 Solution Walkthrough - Functions for Game Play

Lecture 124 Solutions Walkthrough - Final Gameplay Script

Section 12: Python Decorators

Lecture 125 Decorators with Python Overview

Lecture 126 Decorators Homework

Section 13: Python Generators

Lecture 127 Generators with Python

Lecture 128 Generators Homework Overview

Lecture 129 Generators Homework Solutions

Section 14: Advanced Python Modules

Lecture 130 Introduction to Advanced Python Modules

Lecture 131 Python Collections Module

Lecture 132 Opening and Reading Files and Folders (Python OS Module)

Lecture 133 Python Datetime Module

Lecture 134 Python Math and Random Modules

Lecture 135 Python Debugger

Lecture 136 Python Regular Expressions Part One

Lecture 137 Python Regular Expressions Part Two

Lecture 138 Python Regular Expressions Part Three

Lecture 139 Timing Your Python Code

Lecture 140 Zipping and Unzipping files with Python

Lecture 141 Advanced Python Module Puzzle - Overview

Lecture 142 Advanced Python Module Puzzle - Solution

Section 15: Web Scraping with Python

Lecture 143 Introduction to Web Scraping

Lecture 144 Setting Up Web Scraping Libraries

Lecture 145 Python Web Scraping - Grabbing a Title

Lecture 146 Python Web Scraping - Grabbing a Class

Lecture 147 Python Web Scraping - Grabbing an Image

Lecture 148 Python Web Scraping - Book Examples Part One

Lecture 149 Python Web Scraping - Book Examples Part Two

Lecture 150 Python Web Scraping - Exercise Overview

Lecture 151 Python Web Scraping - Exercise Solutions

Section 16: Working with Images with Python

Lecture 152 Introduction to Images with Python

Lecture 153 Working with Images with Python

Lecture 154 Python Image Exercises - Overview

Lecture 155 Python Image Exercises - Solution

Section 17: Working with PDFs and Spreadsheet CSV Files

Lecture 156 Introduction to PDFs and Spreadsheets with Python

Lecture 157 Working with CSV Files in Python

Lecture 158 Working with PDF Files in Python

Lecture 159 PDFs and Spreadsheets Python Puzzle Exercise

Lecture 160 PDFs and Spreadsheets Python Puzzle Exercise - Solutions

Section 18: Emails with Python

Lecture 161 Introduction to Emails with Python

Lecture 162 Sending Emails with Python

Lecture 163 Receiving Emails with Python

Section 19: Final Capstone Python Project

Lecture 164 Final Capstone Project

Section 20: Advanced Python Objects and Data Structures

Lecture 165 Advanced Numbers

Lecture 166 Advanced Strings

Lecture 167 Advanced Sets

Lecture 168 Advanced Dictionaries

Lecture 169 Advanced Lists

Lecture 170 Advanced Python Objects Assessment Test

Lecture 171 Advanced Python Objects Test - Solutions

Section 21: Material - Introduction to GUIs

Lecture 172 Introduction to GUIs

Lecture 173 Quick note about ipywidgets

Lecture 174 Interact Functionality with GUIs

Lecture 175 GUI Widget Basics

Lecture 176 List of Possible Widgets

Lecture 177 Widget Styling and Layouts

Lecture 178 Example of what a Widget can do!

Section 22: APPENDIX: OLDER PYTHON 2 MATERIAL

Lecture 179 Objects and Data Structures Assessment - Solutions

Lecture 180 Comparison Operators

Lecture 181 Chained Comparison Operators

Section 23: SECTION: THANK YOU!

Lecture 182 LECTURE

Beginners who have never programmed before.,Programmers switching languages to Python.,Intermediate Python programmers who want to level up their skills!

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