Python For Everyone: Learn Python Programming From Scratch

Learn Python like a Professional! Start from the basics and go all the way to creating real applications.

What you'll learn

Master Python programming by building 100 real-world projects in 100 days

Learn automation, game development, app development, web development, data science, and machine learning — all with Python.

Gain the skills to become a professional Python developer.

Work with top Python libraries and frameworks like Selenium, Beautiful Soup, Requests, Flask, Pandas, NumPy, Scikit-Learn, Plotly, and Matplotlib.

Build an impressive portfolio of 100 Python projects to showcase your skills and land developer roles.

Learn to build full-stack websites and web applications using Python.

Use Python for advanced data science and machine learning projects.

Create Python games like Blackjack, Pong, and Snake from scratch.

Design and build desktop applications and GUI apps using Python.

Create full-featured websites and web applications using Python and Flask

Requirements

No prior programming experience needed — everything will be taught from scratch

No need to purchase any software — you'll learn to use free tools like PyCharm, Jupyter Notebooks, and Google Colab

Step-by-step guidance on installing and setting up all required software included in the course

A 64-bit Mac or Windows PC with at least 4GB RAM and an internet connection

Description

The Complete Python Pro Bootcamp for 2025Master Python by building real-world projects — no prior experience required. Why This Python Bootcamp Is All You NeedThis is the most comprehensive Python course online — ideal for beginners and aspiring developers who want to master Python through daily practice and project-building. Learn Python step-by-step by building 1 project / Assignment every day. 30+ hours of HD video content – Structured, beginner-friendly lessons. Taught by a lead instructor Lifetime access + Stay ahead with the latest tools, libraries, and projects.Whether you're a complete beginner or switching from another language, this course will take you from zero to professional Python developer — with confidence. What You'll LearnPython 3 programming – From basics to advanced conceptsScripting & automation – Automate workflows, emails, LinkedIn job applications, and moreWeb development with Flask – Create full-stack apps with REST APIs and database integrationGame development – Build games like Snake, Pong, and Blackjack using PythonData science & analysis – Work with Pandas, NumPy, Matplotlib, Seaborn, Plotly, and Scikit-LearnWeb scraping & bots – Use Beautiful Soup, Selenium, and RequestsPython GUI apps – Develop desktop applications using TkinterVersion control – Learn Git, GitHub, and CLI basicsFront-end fundamentals – HTML5, CSS3, BootstrapDeployment – Host your apps using Heroku, GitHub Pages, and Gunicorn 100+ Real-World Projects You'll BuildBlackjack game, Snake, PongAuto Tinder swiperLinkedIn job application botPersonal blog websiteAPI developmentGoogle Trends data analysisApp Store review scraperLego dataset analysisBirthday email/sms automation…and many more!By the end, you'll have a portfolio of 100+ Python projects to showcase your skills to employers, clients, or investors. What You’ll Get30+ hours of high-quality video tutorialsDaily coding challenges & quizzes / AssignmentsFully functional, portfolio-ready projectsDownloadable resources 30-day money-back guarantee — zero risk!

Overview

Section 1: Introduction

Lecture 1 Introduction to the Course

Lecture 2 Installing Python

Lecture 3 Installing PyCharm

Section 2: Basic Python Concept

Lecture 4 Hello World

Lecture 5 Mathematical Operations

Lecture 6 Strings

Lecture 7 Input Functions

Lecture 8 String Operations

Lecture 9 Variables

Lecture 10 Increment and Decrement

Lecture 11 Introduction to PyCharm

Lecture 12 Coding Challenge

Lecture 13 Numeric Functions

Section 3: Control Structures in Python

Lecture 14 If Statement

Lecture 15 If Else

Lecture 16 Elif

Lecture 17 Range Function

Lecture 18 For Loop

Lecture 19 For Loop 2

Lecture 20 While Loop

Section 4: Functions and Modules in Python

Lecture 21 Code Reusing Using Functions

Lecture 22 Return Statement

Lecture 23 Passing Argument to a Function

Lecture 24 Passing Functions as Arguments

Lecture 25 Modules

Lecture 26 Recursion 1

Lecture 27 Recursive Function (2) Factorial

Lecture 28 Local and Global Variables

Section 5: Files Exceptions and Errors

Lecture 29 Error Exceptions

Lecture 30 Exceptions Handling

Lecture 31 File Handling Opening & Closing

Lecture 32 Reading the Data from a File

Lecture 33 Adding the Data to a File

Lecture 34 Appending Data to a File

Lecture 35 Reading and Adding the Data

Section 6: Data Structures and Strings

Lecture 36 Dictionaries

Lecture 37 Dictionaries Functions

Lecture 38 List 1

Lecture 39 List Operations

Lecture 40 List Function 1

Lecture 41 List Function 2

Lecture 42 List Slicing

Lecture 43 List Comprehension

Lecture 44 Sets

Lecture 45 String Functions

Lecture 46 String Formatting

Lecture 47 Tuple

Section 7: Functional Programming

Lecture 48 Functional Programming

Lecture 49 Lambda Function

Lecture 50 Filter

Lecture 51 Map

Lecture 52 Iterator & Generator

Section 8: Object Oriented Programming

Lecture 53 Introduction to Object Oriented Programming

Lecture 54 Defining a Class 1

Lecture 55 Defining a Class 2

Lecture 56 Constructors and Destructors

Lecture 57 Functions vs Object Oriented Programming

Lecture 58 Inheritence

Lecture 59 Single Level Inheritance

Lecture 60 Multi Level Inheritance

Lecture 61 Multiple Inheritance

Lecture 62 Operator Overloading

Lecture 63 Data Hiding

Section 9: Regular Expressions

Lecture 64 Regular Expression

Lecture 65 Match and Findfall

Lecture 66 Search

Lecture 67 Sub

Lecture 68 Characters and Characters Sequence

Lecture 69 Characters and Characters Sequence 2

Lecture 70 Characters and Characters Sequence 3

Section 10: Tkinter

Lecture 71 Hello World Using Tkinter

Lecture 72 Basic Function Using Tkinter

Lecture 73 Frames and Buttons using Tkinter

Lecture 74 Pack

Lecture 75 Handling Buttons

Lecture 76 Menu Bar

Lecture 77 Message Box

Lecture 78 Drawing

Lecture 79 Message Box 2

Lecture 80 Check Box

Lecture 81 Place

Section 11: Calculator Using Tkinter

Lecture 82 Calculator 1

Lecture 83 Calculator 2

Lecture 84 Calculator 3

Section 12: Building Database Apps with PostgreSQL & Python

Lecture 85 Introduction to Data

Lecture 86 Introduction to Database

Lecture 87 Introduction to PostgreSQL

Lecture 88 Installing PostgreSQL

Lecture 89 Creating a database

Lecture 90 Deleting Database

Lecture 91 Creating Table and Adding Data

Lecture 92 Retrieving Data from Database and Deleting Contents in the Table

Lecture 93 Setting Up Virtual ENV

Lecture 94 Installing Psycopg2

Lecture 95 Connecting to the Database

Lecture 96 Creating Table Using Python

Lecture 97 Inserting the Data Using Python

Lecture 98 Extracting the Data from the Database

Lecture 99 Adding the Input from the User

Section 13: Data Analysis

Lecture 100 Data Analysis

Lecture 101 Installing Anaconda

Lecture 102 Libraries Important Properties

Lecture 103 Importing CSV File

Lecture 104 Methods to View File

Lecture 105 Data Cleaning

Lecture 106 Data Formatting

Lecture 107 Data Normalization

Lecture 108 Data Normalization 2

Lecture 109 Binning

Lecture 110 Binning 2

Lecture 111 Value Counts

Lecture 112 Boxplot & Scatterplot

Lecture 113 Group By

Lecture 114 Pivot

Lecture 115 Heat Map 1

Lecture 116 Heat Map 2

Lecture 117 Anova

Lecture 118 Correlation

Lecture 119 Correlation 2

Lecture 120 Simple Linear Regression

Lecture 121 Multiple Linear Regression

Lecture 122 Simple Linear Regression Using Python

Lecture 123 Multiple Linear Regression Using Python

Lecture 124 Regression Plot

Lecture 125 Residual Plot

Lecture 126 Distribution Plot 1

Lecture 127 Distribution Plot 2

Lecture 128 Polynomial Regression 1

Lecture 129 Polynomial Regression 2

Lecture 130 In Sample Evaluation

Lecture 131 Mean Squared Error

Lecture 132 R Squared 1

Lecture 133 R Squared 2

Section 14: Django

Lecture 134 Django Installation

Lecture 135 Creating Project

Lecture 136 Creating an App

Lecture 137 Hello World Using Django

Lecture 138 Templates in Django

Lecture 139 Django Template Language 1

Lecture 140 Django Template Language 2

Lecture 141 Adding Numbers

Lecture 142 GET vs POST

Lecture 143 MVT

Lecture 144 Static Files 1

Lecture 145 Static Files 2

Lecture 146 User Registration Part 1

Lecture 147 User Registration Part 2

Lecture 148 User Registration Part 3

Lecture 149 Login

Lecture 150 Login Redirect (Login 2)

Lecture 151 Logout (Login 3)

Lecture 152 Forms 1

Lecture 153 Forms 2

Lecture 154 Styling Forms

Lecture 155 Creating Your Own Blog

Lecture 156 Creating Your Own Blog 2

Lecture 157 Creating Your Own Blog 3

Section 15: Flask

Lecture 158 Introduction to Flask

Lecture 159 Installation of Flask

Lecture 160 Basic Webpage 1

Lecture 161 Basic Webpage 2

Lecture 162 Importing HTML Files Using Flask

Lecture 163 Basic Registration Form

Lecture 164 Basic Registration Form 2

Lecture 165 Basic Registration Form 3

Lecture 166 Redirecting Using Hyperlinks

Lecture 167 Redirecting Using Hyperlinks 2

Lecture 168 Adding Images to Flask

Lecture 169 Template Inheritance

Lecture 170 Styling the Website

Section 16: Rest API's Using Django

Lecture 171 API's and REST API's

Lecture 172 Hello world using REST API's

Lecture 173 Creating model in the Admin

Lecture 174 Posting API's

Lecture 175 Segregating into Pages

Lecture 176 Setting an Authentication

Lecture 177 Adding Username to the Posts

Lecture 178 Adding Permissions

Lecture 179 Filtering Based on Usernames

Lecture 180 Search Filter

Lecture 181 Filtering Based on the Date

Lecture 182 Ordering Filters

Section 17: Web Scraping

Lecture 183 Intro to Web Scraping

Lecture 184 Unicode and ASCII

Lecture 185 Retrieving Content from Webpages

Lecture 186 Getting the Data

Lecture 187 Stating the Data Using Dictionaries

Lecture 188 Content

Lecture 189 Text

Lecture 190 Posting the Data

Lecture 191 Params

Lecture 192 Filtering the Data 1

Lecture 193 Filtering the Data 2

Lecture 194 Filtering the Data 3

Lecture 195 Filtering the Data 4

Lecture 196 To CSV File

Lecture 197 Downloading Images 1

Lecture 198 Downloading Images 2

Lecture 199 Downloading Images 3

Lecture 200 Downloading Images 4

Lecture 201 Price Tracer 1

Lecture 202 Price Tracer 2

Section 18: Open CV

Lecture 203 Images

Lecture 204 Installing Open CV

Lecture 205 CV OpenCV

Lecture 206 Reading an Image

Lecture 207 Writing an Image

Lecture 208 Resizing an Image

Lecture 209 Morphological Operations

Lecture 210 Morphological Operations 2

Lecture 211 Flipping an Image

Lecture 212 Resizing an Image Based on the Aspect Ratio

Lecture 213 Resizing an Image Based on Aspect Ratio 2

Lecture 214 Adding Shapes and Text

Lecture 215 Shifting an Image

Lecture 216 Image Rotation

Lecture 217 Thresholding

Lecture 218 Gaussian Blur

Lecture 219 Median Blur

Lecture 220 Bilateral Filter

Lecture 221 Edge Detection

Lecture 222 Reading a Video

Lecture 223 21. Writing a Video

Lecture 224 Accessing the Webcam

Section 19: Automation and Selenium

Lecture 225 Installation

Lecture 226 Opening URL

Lecture 227 Automating Google Search

Lecture 228 Automating Navigation

Lecture 229 Finding Elements by Different Methods

Lecture 230 Selecting Links

Lecture 231 Refreshing the Page

Lecture 232 Finding the Element by xPath

Lecture 233 Getting Data

Section 20: Building a Facebook Auto Poster

Lecture 234 Building a Facebook Auto Poster

Section 21: Tips and Tricks in Programming

Lecture 235 Tips to Become a good Programmer

Lecture 236 Logical Thinking

Lecture 237 Tips Techniques 1

Lecture 238 Tips Techniques 2

Section 22: Network Programming in Python Using Sockets Building A Chat Application

Lecture 239 IP Address

Lecture 240 Ports & Sockets

Lecture 241 Creating a Client

Lecture 242 Sending Messages

Lecture 243 Using Buffer

Lecture 244 Building the Messaging Functionality

Lecture 245 Sending Messages to Client

Lecture 246 Programming Send Functionality

Lecture 247 Completing Our Chat App

Section 23: Miscellaneous Content

Lecture 248 Updating Entries in Django with Update View

Lecture 249 Bootstrap part 1 Introduction To Bootstrap

Lecture 250 Bootstrap Part 2 Adding Bootstrap To Our Site

Lecture 251 Bootstrap Part 3 Bootstrap Grid System

Lecture 252 Bootstrap Part 4 Grid Classes Part 1

Lecture 253 Bootstrap Part 5 Grid Classes Part 2

Lecture 254 Bootstrap Part 6 Grid Column Offset

Lecture 255 Bootstrap Part 7 Making Images Responsive

Lecture 256 Bootstrap Part 8 Nesting of Rows & Columns

Section 24: Regular Expressions Revisited

Lecture 257 Introduction to Regular Expressions & Raw Strings

Lecture 258 Search and Match Methods

Lecture 259 Introduction to Meta Characters

Lecture 260 Star Meta Characters

Lecture 261 Introduction to Plus Meta Characters

Lecture 262 Plus Meta Characters Examples

Lecture 263 Introduction to Curly Braces

Lecture 264 Curly Braces Examples

Lecture 265 Introduction to Wildcards

Lecture 266 Wildcard Example

Lecture 267 Optional Meta Character

Lecture 268 Caret Meta Character

Lecture 269 Character Classes Part 1

Lecture 270 Character Classes Part 2

Section 25: Conclusion

Lecture 271 Conclusion

Section 26: Assignments

Lecture 272 All Modules Assignments

Anyone who wants to learn Python from scratch by building fun, real-world projects,Aspiring entrepreneurs who want to build their own websites and web apps to launch a startup,Complete beginners looking for a comprehensive path to become a professional Python developer,Experienced developers who want to transition into Python and learn through hands-on coding projects,Intermediate Python programmers who want to take the 100 Days of Code challenge to advance their skills and build a solid portfolio