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Python Fundamentals

Description: In this module, you’ll master the four fundamental data structures in Python — Lists, Tuples, Sets, and Dictionaries. These are ... Show more
Course details
Duration 3 hours
Lectures 23
Quizzes 5
Level Beginner
Basic info

Level: Beginner

Language: English

Lessons Covered:

  1. Lists – Creating lists, accessing items, list methods (append, remove, sort).

  2. Tuples – Immutable sequences, tuple unpacking.

  3. Sets – Unique collections, set operations (union, intersection).

  4. Dictionaries – Key-value pairs, access, update, delete items.

Learning Outcome:
By the end of this section, learners will understand how to store, organize, and manage data effectively in Python using the right data structure for the task.

Course requirements

Course Requirements

  • Basic understanding of using a computer (Windows, macOS, or Linux).

  • Python installed on your system (Python 3.x recommended).

  • A code editor or IDE (such as VS Code, PyCharm, or IDLE).

  • Familiarity with basic Python syntax (variables, operators, and simple print statements).

  • No prior experience with advanced programming concepts required — this course is beginner-friendly.

Intended audience
  • Beginner Python learners who want to strengthen their understanding of core data structures.

  • Students and programming enthusiasts preparing for coding tests or interviews.

  • Aspiring data analysts and developers who need to manage and process data efficiently.

  • Self-learners looking to build a strong Python foundation for web development, data science, or automation.

  • Anyone curious about how Python stores and organizes data in different formats.

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This course is designed to take you from zero to proficient in Python programming, covering all essential concepts from the ground up and moving towards practical, real-world applications. You’ll start with the basics of Python syntax and data types, progress through control flow, data structures, functions, and modules, and finish with file handling and error management.

By the end of the course, you’ll have a strong understanding of Python fundamentals, the ability to write efficient and reusable code, and the confidence to work on mini-projects that solve real-world problems.


What You’ll Learn

Section 1: Python Fundamentals

  • Understand what Python is, why it’s popular, and where it’s used in industry.

  • Install Python and set up your development environment (VS Code, PyCharm, or IDLE).

  • Write your first Python program and understand how to run scripts.

  • Learn Python syntax rules and how to use comments effectively.

  • Work with variables and core data types (numbers, strings, booleans).

  • Take user input and display formatted output with f-strings.


Section 2: Operators & Control Flow

  • Perform mathematical operations using arithmetic operators.

  • Assign and modify values using assignment operators.

  • Compare values and use logical operators to build decision-making logic.

  • Implement conditional statements (if, elif, else) including nested conditions.

  • Write loops (for, while) to automate repetitive tasks.

  • Control loops using break and continue.

  • Mini Project: Build a Number Guessing Game to apply control flow concepts.


Section 3: Data Structures in Python

  • Create and manipulate lists, using built-in methods like append, remove, and sort.

  • Understand tuples as immutable sequences and learn tuple unpacking.

  • Use sets for unique collections and perform operations like union and intersection.

  • Manage dictionaries for key-value data storage, updating, and deletion.


Section 4: Functions & Modules

  • Define reusable functions using the def keyword.

  • Work with different types of function arguments (positional, keyword, default, *args, **kwargs).

  • Create and use lambda functions for short, anonymous tasks.

  • Import and use built-in modules like math and random.


Section 5: File Handling & Error Management

  • Read data from files using open() in read mode.

  • Write and append data to files safely.

  • Implement error handling with try, except, and finally blocks.

  • Handle specific exceptions for robust code.

  • Work with essential Python libraries like datetime, os, and json for practical tasks.


Key Highlights

  • Beginner-friendly yet comprehensive coverage of Python concepts.

  • Real-world applications of Python for automation, data processing, and file handling.

  • Foundation skills for web development, data analysis, and AI/ML.

  • Step-by-step guidance with clear explanations and example-based learning.

Python Basics
Operators & Control Flow
Data Structures in Python
Functions & Modules
File Handling & Error Management
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