Master Python programming with in-action projects . Basics to data science, AI, machine learning, web apps and games

What you'll learn

How to master and use Python programming language to build amazing, fun and even advanced programs and projects without prior experience

You will be able to learn Python programming professionally to develop anything you want

Create a big portfolio of python apps and projects to get any developer job you desire.

Use Python programming for data science and machine learning and even AI

Build desktop applications and GUIs with Python

You'll learn web development, automation, app and game development and even advance subjects like data science and machine learning all using Python.

Build fun and even complicated games using Python

Build fully fledged and functioning websites and web applications using Python without any prior web development experience

You'll learn about different python development frameworks such as Flask, Request, Scikit Learn, Selenium,Plotly, Beautiful Soup, Pandas, NumPy and Matplotlib

Requirements

A basic computer and browser with access to internet

No programming experience needed

No paid software or extensions needed, we will use all free tools

All tools and softwares used are explained in detail so you won't need any prior experience

Description

Welcome to the most complete Python coding Bootcamp in the world! Are you ready to unlock the power of Python and take your coding skills to the next level? This is the only course you need to learn Python programming in no time.Over 50 hours of Python training from beginner to advanced subjects with new practices added on a daily basis.Whether you're an absolute beginner or an experienced developer looking to upskill, our comprehensive Python course is the perfect solution for you.Even if you have no prior Python programming experience, this course will take you from beginner to professional. Here's why:The course is taught by a senior developer and expert in Python and machine learning.The course is applicable to the latest Python changes and you'll be learning the latest tools and technologies used at large companies such as Apple, Google, and Netflix.There are explanation videos and dozens of real-world simple to advanced projects which you will get to build.The content was developed over a period of 6 months, with comprehensive student testing and feedback.I've taught over 200,000 students how to code and many have changed their lives by becoming professional developers or starting their own startups.Python is one of the most popular programming languages in the world, and for good reason. It is easy to learn, versatile, and widely used in fields such as data science, machine learning, web development, and automation. By mastering Python, you can open up a world of new career opportunities and tackle complex coding challenges with ease.This beginner to advanced Python course is designed to help you learn the language from scratch and develop your skills to an advanced level. The course curriculum covers everything from the basics of Python syntax and programming concepts to advanced topics such as web scraping, data analysis, and machine learning.With this Python course, you'll get hands-on experience with Python through a range of practical projects and exercises. Our interactive lessons are designed to keep you engaged and motivated, and the experienced instructor is always on hand to provide support and guidance whenever you need it.Here are some of the lessons you'll learn in this Python course:The basics of Python syntax and programming conceptsHow to work with Python libraries, modules, and packagesObject-oriented programming (OOP) conceptsWeb development with Python and popular frameworks such as Flask and DjangoData analysis and visualization with libraries like NumPy, Pandas, and MatplotlibMachine learning with libraries like Scikit-learn and TensorFlowHow to build real-world applications using Pythonand much much moreThis course is designed to be flexible and convenient for busy learners like you. You can learn at your own pace and access our course content from anywhere in the world. Plus, our course is constantly updated with the latest Python trends, updates, and technologies, so you can be sure you're learning the most up-to-date and relevant skills.Besides Python programming, we will also cover other technologies that commonly go alongside Python to make you a truly professional Python developer. Here are some of the covered software, languages, and technologies in this course:Python 3 - the latest version of PythonPyCharm, Jupyter Notebook, Google ColabPython Scripting and AutomationPython Game DevelopmentWeb ScrapingBeautiful SoupSelenium Web DriverRequestWTFormsData SciencePandasNumPyMatplotlibPlotlyScikit learnSeabornTurtlePython GUI Desktop App DevelopmentTkinterFront-End Web DevelopmentHTML 5CSS 3Bootstrap 4Bash Command LineGit, GitHub and Version ControlBackend Web DevelopmentFlaskRESTAPIsDatabasesSQLSQLitePostgreSQLAuthenticationWeb DesignDeployment with GitHub Pages, Heroku and GUnicornBut don't just take our word for it! Here's what some of our satisfied students have to say about our Python course:"Absolutely fantastic Python course! The instructors are knowledgeable and passionate about teaching Python and make complex concepts easy to understand. The exercises and projects were challenging but rewarding, and I learned so much in a short amount of time. Highly recommended!" - Sarah, 25"I had some experience with Python before, but this course helped me take my skills to the next level. The content is well-organized and easy to follow, and the support from the instructors is amazing. The projects were particularly fun and helped me apply what I learned to real-world scenarios." - John, 32Are you ready to take your coding skills to the next level with Python? Join our course today and start your journey toward becoming a proficient Python developer. We're confident you'll love our course, and we offer a 100% satisfaction guarantee.Don't wait any longer to start your Python journey. Enroll now and unlock the power of Python today!

Overview

Section 1: Getting Started

Lecture 1 How to Learn Programming the Right Way

Lecture 2 Python Syntax Cheat Sheet

Lecture 3 Introduction to Python IDEs

Lecture 4 Course Plan

Lecture 5 Interactive Lessons

Section 2: Beginner: Printing Text in Python

Lecture 6 The Goal of This Section

Lecture 7 Basics of Replit

Lecture 8 Python Comments

Lecture 9 Print Function

Lecture 10 A Useful Coding Logic Tool

Lecture 11 Print Function Practice

Lecture 12 String Manipulation

Lecture 13 String Manipulation Practice

Lecture 14 Input Function

Lecture 15 Input Function Practice

Lecture 16 Variables

Lecture 17 Variables Practice

Lecture 18 Python Errors and Debugging

Lecture 19 Debugging Practice

Lecture 20 Project: Business Name Generator

Section 3: Beginner: Python Data Types

Lecture 21 The Goal of This Section

Lecture 22 Length Function

Lecture 23 Subscripting

Lecture 24 Data Types

Lecture 25 Data Type Conversion

Lecture 26 A Note on Your Coding Style

Lecture 27 Data Type Practice

Lecture 28 Python Mathematical Operations

Lecture 29 Mathematical Operations Practice

Lecture 30 Number Manipulation

Lecture 31 Python F Strings

Lecture 32 Life in Weeks Coding Practice

Lecture 33 Restaurant Bill Calculator Project

Lecture 34 Congratulations

Section 4: Beginner: If and Else Statements

Lecture 35 The Goal of This Section

Lecture 36 Visual: Understanding If Else Statements

Lecture 37 Understanding Indentations

Lecture 38 Basics of If and Else Statements

Lecture 39 Modulo

Lecture 40 If and Else Statements Practice Session

Lecture 41 Nested If and Else Statements

Lecture 42 More on Nested If and Else Statements

Lecture 43 Elif Statements

Lecture 44 Practice: A Better BMI Calculator

Lecture 45 A Complicated Code Challenge

Lecture 46 Multiple If and Else Statements

Lecture 47 Bakery Practice

Lecture 48 Logical Operators

Lecture 49 Python Lower Method

Lecture 50 Python Count Method

Lecture 51 Final Project: The Alien Game

Section 5: Beginner: Lists and Randomization

Lecture 52 What You'll Learn In This Section

Lecture 53 Built-in Modules

Lecture 54 Python Modules Practice

Lecture 55 Custom Modules

Lecture 56 Introduction to Python Lists

Lecture 57 String Split

Lecture 58 Winner Food Practice

Lecture 59 Random Choice

Lecture 60 Of By One Error

Lecture 61 Nested Lists

Lecture 62 Board Mark Practice

Lecture 63 Rock Paper Scissors Game

Section 6: Beginner: Python Programming Loops and Range

Lecture 64 What You'll Learn In This Section

Lecture 65 Introduction to Loops

Lecture 66 More on Loops

Lecture 67 Loop and If Statement

Lecture 68 Loop and If Exercise

Lecture 69 Range Function

Lecture 70 Range Practice

Lecture 71 Minimum Maximum Function

Lecture 72 Sum Function

Lecture 73 Password Generator App Practice

Section 7: Beginner: Functions and While Loops

Lecture 74 What You'll Learn

Lecture 75 Introduction to Functions

Lecture 76 Working With Functions

Lecture 77 Custom Functions Practice

Lecture 78 Hurdles Functions Practice

Lecture 79 While Loop

Lecture 80 While Not

Lecture 81 For Loop vs While Loop

Lecture 82 Random Hurdles Practice

Lecture 83 Variable Heights Practice

Lecture 84 The Maze Practice

Section 8: Beginner: Practicing Your Skills With Fun Projects

Lecture 85 Introduction

Lecture 86 Divisible By Practice

Lecture 87 Guess The Number Game

Section 9: Beginner: Word Game Practice

Lecture 88 Introduction

Lecture 89 Understanding The Game Structure

Lecture 90 Random Words

Lecture 91 Debugging with Thonny

Lecture 92 Character List

Lecture 93 Debugging Step 2

Lecture 94 Looping The Game

Lecture 95 Counting Lives

Lecture 96 Improving User Experience

Section 10: Beginner: Functions with Inputs

Lecture 97 Introduction

Lecture 98 Functions with Inputs

Lecture 99 Functions with Inputs in Action

Lecture 100 Index Method

Lecture 101 Text Encrypt Project Part 1

Lecture 102 Text Encrypt Project Part 2

Lecture 103 Improve Your Skills

Section 11: Beginner: Data Nesting and Dictionaries

Lecture 104 Introduction

Lecture 105 Introduction to Dictionaries

Lecture 106 Dictionaries in More Detail

Lecture 107 Nesting Dictionaries and Lists in Python

Lecture 108 More on Python Nested Lists

Lecture 109 Section Practice Flow Chart and Basics

Lecture 110 Solving The Practice Code

Lecture 111 You're Doing Great!

Section 12: Beginner: Functions With Outputs

Lecture 112 Introduction

Lecture 113 Functions with Outputs

Lecture 114 Coding Functions with Outputs

Lecture 115 Functions with Multiple Outputs

Lecture 116 DocStrings

Lecture 117 Creating a Calculator

Lecture 118 Practice is Everything!

Section 13: Beginner: Setting Up Your Local Development Environment

Lecture 119 Installing Python on Your Local Machine

Lecture 120 Installing PyCharm

Lecture 121 Introduction to PyCharm

Lecture 122 Another Great Coding Tool (Secondary)

Lecture 123 Calculator Code on PyCharm

Lecture 124 Installing Python Packages

Lecture 125 Using AI to Program!

Section 14: Beginner: Cardgame Project

Lecture 126 Introduction

Lecture 127 Game Rules

Lecture 128 Card Game Practice Part 1: Basics

Lecture 129 Card Game Practice Part 2: Calculate Function

Lecture 130 Card Game Practice Part 3: Getting Scores

Lecture 131 Card Game Practice Part 4: Getting User and Computer to Play

Lecture 132 Card Game Practice Part 5: Finishing Loops

Lecture 133 You're Getting Close!

Section 15: Beginner: Python Local and Global Scope

Lecture 134 Introduction

Lecture 135 Local vs Global Scope

Lecture 136 Block Scope in Python

Lecture 137 Global Keyword

Lecture 138 Guess the Number Practice Introduction

Lecture 139 Guess the Number Solution

Lecture 140 Don't be Discouraged!

Section 16: Beginner: Python Debugging

Lecture 141 Introduction

Lecture 142 Range Bug

Lecture 143 Non-Recurring Bugs

Lecture 144 If Statement Bug

Lecture 145 Fixing Editor Erros

Lecture 146 Using Print Function to Find Bugs

Lecture 147 Using a Debugger

Lecture 148 Finding Answers to Your Questions

Lecture 149 Odd and Even Code Debugging

Lecture 150 Leap Year Debugging

Section 17: Intermediate: Object Oriented Programming (OOP)

Lecture 151 Introduction to Object Oriented Programming

Lecture 152 About Object Oriented Programming

Lecture 153 Using Object Oriented Programming

Lecture 154 Constructing Objects

Lecture 155 Calling a Python Class

Lecture 156 Object Attributes

Lecture 157 Object Methods

Lecture 158 Making The Turtle Move!

Lecture 159 Using Python Packages

Lecture 160 Putting Python Packages into Practice

Lecture 161 Our First Object Oriented Programming Practice

Lecture 162 Object Oriented Programming Practice Solution

Lecture 163 An Important Reminder

Lecture 164 Introduction to Python Class Creation

Lecture 165 Python Attributes and Class Constructors

Lecture 166 Adding Methods to a Class

Lecture 167 Object Oriented Programming Practice #2 - Part 1

Lecture 168 Object Oriented Programming Practice #2 - Part 2

Lecture 169 Object Oriented Programming Practice #2 - Part 3

Lecture 170 Object Oriented Programming Practice #2 - Part 4

Lecture 171 Object Oriented Programming Practice #2 - Part 5

Lecture 172 Object Oriented Programming Practice #2 - Part 6

Lecture 173 You're Doing Amazing!

Section 18: Intermediate: GUIs, Tuples and Modules

Lecture 174 Introduction

Lecture 175 Different Ways of Importing Modules

Lecture 176 Turtle Graphics Practice #1

Lecture 177 Turtle Graphics Practice #2

Lecture 178 Turtle Graphics Practice #3

Lecture 179 Introduction to Tuples

Lecture 180 Turtle Graphics Practice #4

Lecture 181 Random RBG Colors

Lecture 182 Turtle Graphics Practice #5

Lecture 183 Dot Painting Project Part 1

Lecture 184 Dot Painting Project Part 2

Lecture 185 Keep Working!

Section 19: Intermediate: Event Listening

Lecture 186 Introduction

Lecture 187 Event Listeners

Lecture 188 Sketch With Turtle

Lecture 189 Turtle Game Part 1

Lecture 190 Turtle Game Part 2

People who want to learn Python and have no experience,People who are struggling to learn and understand Python programming,Beginners who have failed to learn Python before and want to learn in a new and visual method,Experts who want to expand their Python knowledge and learn something new,People who want to learn Python from a professional developer and expert