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Welcome to Class 1 of my Complete Python Course – “Introduction to Python and Course Overview”!
In this video, you’ll get a clear roadmap of the 100‑class Python series, understand what Python is, where it is used, and how this course will take you from absolute beginner to building real projects and a final capstone.

Whether you are a B.Tech student, college learner, or complete beginner, this course is designed to be slow, clear, and practical, with lots of hands‑on coding, mini projects, and real‑world examples.

🔹 What you’ll learn in this video
In this Class 1 (Intro video), we will cover:

What is Python and why it is so popular today

Why Python is perfect for beginners and non‑CS students

Where Python is used in the real world (web dev, data science, ML, automation, etc.)

Job roles you can target after learning Python (Software Engineer, Data Scientist, ML Engineer, etc.)

Complete 5‑phase course roadmap for all 100 classes

What projects you will build during this course

What you need to get started (system, tools, mindset)

How to study this course effectively and stay consistent

🧭 100‑Class Python Course Roadmap
This series is structured into 5 phases:

Phase 1 (Classes 1–20): Basics & Fundamentals

Installing Python and VS Code

First program, print, comments, indentation

Variables, data types, operators

Strings, string formatting, user input/output

If/elif/else, logical operators

For loops, while loops, break, continue, basic practice problems

Phase 2 (Classes 21–40): Data Structures & Functions

Lists, tuples, sets, dictionaries

Function basics, parameters, return values

Default, keyword, and variable‑length arguments

Scope, global/local variables

Lambda functions, map, filter

Modules, standard library (math, random, datetime), creating your own modules

Phase 3 (Classes 41–60): Files, OOP & Advanced Topics

File handling: read, write, append

Working with text, CSV, JSON

Exceptions: try, except, else, finally

Object‑Oriented Programming: classes, objects, methods

Inheritance, polymorphism, special (dunder) methods

Basic packaging and folder structure

Phase 4 (Classes 61–80): Applied Python & Projects

Mini projects: calculator, to‑do list, quiz app, simple utilities

Automation scripts and file/folder management

Web requests and working with APIs (weather, currency, etc.)

Intro to Flask: simple web routes and pages

Email/notification automation and practical scripts

Phase 5 (Classes 81–100): Data, ML & Capstone

NumPy arrays and pandas DataFrames

Data cleaning and basic analysis

Data visualization with matplotlib (line, bar, pie charts)

Intro to Machine Learning with scikit‑learn (simple regression & classification)

Planning, building, and polishing a final capstone project

Preparing your GitHub portfolio for internships and job interviews

💼 What you’ll build in this course
By the end of this series, you will have:

20+ mini projects (console apps, games, automation scripts)

3+ bigger projects (automation tool, simple web app, data analysis project)

1 capstone project that you design and build step‑by‑step

A GitHub portfolio with clean Python code to show in interviews and resumes

🖥️ Requirements (Who can join?)
You can follow this course if:

You have a computer (Windows / macOS / Linux)

You can install Python and a code editor (VS Code, PyCharm, or any IDE)

You can give 30–45 minutes per class

You are willing to type code yourself and practice regularly

✅ No prior programming experience is required. This course is beginner‑friendly and starts from zero.

🧠 How to study this course
To get the maximum benefit from this playlist:

Code along with every video instead of just watching

Pause, rewind, and try the examples on your own

Solve all practice questions and assignments given in each class

Keep a notes file or notebook for important concepts and errors

Don’t be afraid to experiment and break the code – that’s how you learn

Stay consistent: even 30 minutes daily is enough if you’re regular

📥 Download Python: https://www.python.org/

📘 Official Python Docs: https://docs.python.org/

💻 VS Code Editor: https://code.visualstudio.com/

📂 Course Code & Projects (GitHub): https://github.com/your-username/your-pyth...

🧾 Playlist: Python for Beginners – 100 Classes

🙋 Who is this course for?
B.Tech / B.Sc / Diploma students

Beginners who want to start with programming

Anyone preparing for projects, internships, or placements using Python

Self‑learners who want a structured Python roadmap from basics to projects

✅ Next video (Class 2)
In the next class, we will:

Download and install Python step‑by‑step

Install and set up VS Code

Run your first Python program successfully

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