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Python Programming



Number of Levels : 3
Class Days: Twice in Week
32 Sessions in Each Level
Class Teacher Ratio: 8:1

Learn Python the Fun Way – Perfect for Beginners!

Python is a beginner-to-intermediate level course designed to teach the fundamentals of one of the world's most popular programming languages. From understanding variables and loops to creating games, data analysis tools, and automation scripts, this course empowers students with practical coding skills and prepares them for advanced technology projects.

Learning Outcomes


  • Enhanced Programming Skills : Gain in-depth knowledge of Python programming concepts like variables, loops, and functions.
  • Critical Thinking and Problem-Solving : Develop the ability to solve complex problems through coding and logical thinking.
  • Real-World Applications : Build practical applications, such as automation tools, games, and websites, using Python.
  • Algorithm Optimization : Learn how to create efficient and optimized algorithms for complex tasks.
  • Project-Based Learning : Enhance coding skills by working on real-world projects to test and apply your knowledge.

Prerequisites

  • Age Requirement: 9 years and above.
  • Basic Knowledge: Familiarity with computers and logical thinking (No prior programming experience required).
  • Day 1 : Introduction to Python
    Introduction to Python syntax, including indentation, comments, identifiers, keywords, and string literals, through hands-on debugging and interactive activities.
  • Day 2 : Python Variables
    Understand Python variables, their rules, case sensitivity, identity, and string declarations through interactive challenges.
  • Day 3 : Python Numbers
    Understand Python's numeric data types and random number generation.
  • Day 4 : Python Data Conversion
    Explore type casting in Python through interactive challenges and debugging exercises.
  • Day 5 : Python Text & Boolean Data Types
    Understand Python's int, float, str, and bool data types and use f-strings for formatted output.
  • Day 6 : Python Data Conversion
    Understand string manipulation and type conversion in Python through hands-on activities.
  • Day 7 : Python String
    Understand string concatenation and modification techniques in Python.
  • Day 8 : Monthly Assessment
    Assess understanding through a monthly test.
  • Day 9 : Python Input/Output
    Learn how to take user input using input() and format output using f-strings.
  • Day 10 : Python Operators (Arithmetic & Comparison)
    Understand and apply arithmetic and comparison operators in Python.
  • Day 11 : Python Operators (Logical & Assignment)
    Learn to use logical operators (and, or, not) and assignment operators (=, +=, -=).
  • Day 12 : Python Conditions (if, else, elif)
    Understand and implement basic if, else, and elif conditions.
  • Day 13 : Python Conditions (Nested)
    Learn how to implement nested conditions to handle complex decision-making scenarios.
  • Day 14 : Introduction to Loops
    Learn how to use the for loop along with Python conditions.
  • Day 15 : For Loop (break, continue & pass)
    Learn how to use break, continue, and pass with for loops.
  • Day 16 : Monthly Assessment
    Test the understanding of input/output, operators, conditions, and loops through an engaging mini-game.
  • Day 17 : While Loop (Nested with Conditions)
    Learn to use while loops combined with if/else conditions to control program flow.
  • Day 18 : Nested while loops
    Understand how to use nested while loops with if/else conditions to handle complex scenarios.
  • Day 19 : While Loop (break, continue, pass)
    Learn to control the flow of while loops using break, continue, and pass statements.
  • Day 20 : Loop Applications (Using Loops with Strings)
    Apply loops to iterate over strings for various tasks.
  • Day 21 : Loop Applications (Using Loops with User Input)
    Learn to use loops with user input to continuously interact with the program.
  • Day 22 : Mapping Data Type (Dictionary)
    Learn to work with dictionaries in Python, including adding, updating, and deleting elements.
  • Day 23 : Mapping Data Type (Loop & Nested Dictionary)
    Master loops and work with nested dictionaries to manage more complex data structures.
  • Day 24 : Monthly Assessment 3
    Test the understanding of while loops, conditions, loops with strings/user input, and dictionaries.
  • Day 25 : Python Set Data Type
    Understand set operations and how to join and iterate over sets.
  • Day 26 : Python Sequence Data Type (List Operations)
    Learn fundamental list operations for data manipulation.
  • Day 27 : Python Sequence Data Type (Loop Lists & Join Lists)
    Understand how to iterate over lists and merge them efficiently.
  • Day 28 : Python Sequence Data Type (Tuple)
    Learn tuple operations, including accessing, modifying, and unpacking elements.
  • Day 29 : Python Sequence Data Type (Loop Tuples & Join Tuples)
    Explore looping techniques and merging operations for tuples.
  • Day 30 : Introduction to Functions
    Learn how to define, call, and use functions with parameters and return values.
  • Day 31 : Function & Arrays
    Understand variable scope and how local/global variables behave in functions.
  • Day 32 : Final Assessment
    Assess students' understanding of loops, sets, lists, tuples, dictionaries, and functions by having them build a simple student management system.
Avator of.Anum Khan

Anum-Khan

Anum Khan is a passionate STEM educator, Python mentor, and international physics mentor dedicated to making STEM education interactive and globally accessible. With 3.5 years of experience mentoring K-12 learners, she specializes in robotics, coding, and Olympiad coaching, transforming complex concepts into engaging lessons. As a Q-Team member and Educator at International STEM Olympiad, she also actively prepares students for international competitions like RoboFest (USA) and IROC (South Korea), fostering innovation and critical thinking in young minds.


What we do

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