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Python Programming

From zero to confident Python developer: syntax, OOP, automation, web scripting and data handling.

SU Taught by Sukhwinder Singh 0 enrolled Beginner

What you will learn

Start your programming journey with Python - the most beginner-friendly language in 2026.

Covers core syntax, data structures, functions, OOP, file handling, web scraping, API scripting and automation projects. Launchpad for data science, AI, or web development.

Who this is for:
- Complete beginners with no coding experience
- Professionals wanting to automate daily tasks
- Anyone planning to enter data science or AI

Course Syllabus

0 lessons · 8 modules
1. Python Setup & Basics 5 lessons
  1. Lesson content for "Installing Python and VS Code setup".

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  2. Lesson content for "Hello world and how Python runs".

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  3. Lesson content for "Variables, naming rules and data types".

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  4. Lesson content for "String operations and f-strings".

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  5. Lesson content for "Type conversion and input/output".

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2. Control Flow & Logic 5 lessons
  1. Lesson content for "If, elif, else - conditional logic".

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  2. Lesson content for "For loops and range()".

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  3. Lesson content for "While loops and loop control".

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  4. Lesson content for "Logical operators - and, or, not".

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  5. Lesson content for "Nested conditions and exercises".

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3. Data Structures 5 lessons
  1. Lesson content for "Lists - create, access, modify, slice".

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  2. Lesson content for "Tuples and when to use them".

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  3. Lesson content for "Dictionaries - key-value pairs".

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  4. Lesson content for "Sets - unique values and operations".

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  5. Lesson content for "List comprehensions".

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4. Functions & Modules 5 lessons
  1. Lesson content for "Defining and calling functions".

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  2. Lesson content for "Parameters, return values and defaults".

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  3. Lesson content for "*args, **kwargs and unpacking".

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  4. Lesson content for "Lambda and higher-order functions".

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  5. Lesson content for "Importing modules and pip".

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5. Object-Oriented Programming 5 lessons
  1. Lesson content for "Classes, objects and __init__".

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  2. Lesson content for "Instance vs class attributes".

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  3. Lesson content for "Methods, self and encapsulation".

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  4. Lesson content for "Inheritance and method overriding".

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  5. Lesson content for "Polymorphism and dunder methods".

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6. File Handling & Errors 4 lessons
  1. Lesson content for "Reading and writing text files".

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  2. Lesson content for "CSV and JSON files".

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  3. Lesson content for "Try, except - exception handling".

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  4. Lesson content for "Context managers and the with statement".

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7. Web Scraping & APIs 4 lessons
  1. Lesson content for "HTTP basics and requests library".

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  2. Lesson content for "Web scraping with BeautifulSoup".

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  3. Lesson content for "REST APIs and JSON".

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  4. Lesson content for "Building a data collection script".

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8. Automation Projects 4 lessons
  1. Lesson content for "Automating Excel with openpyxl".

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  2. Lesson content for "Sending emails with smtplib".

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  3. Lesson content for "File organization automation".

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  4. Lesson content for "Web dashboard with Streamlit".

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