Scratch

About Course

Python is a versatile and beginner-friendly programming language that opens the door to endless possibilities. With Python, you can create games, build websites, analyze data, automate tasks, and much more. What makes Python special is its simple and readable syntax – it’s like writing in plain English. Whether you’re a coding newbie or an experienced programmer, Python is a great choice. It’s used by scientists, engineers, and developers around the world. From solving puzzles to developing cutting-edge applications, Python empowers you to turn your ideas into reality. So, if you’re ready to dive into the world of coding, Python is your friendly companion on the journey of exploration, learning, and innovation.

About Winquest

About WinQuest Online

WinQuest’s Python classes offer a dynamic learning experience with flexible scheduling to suit your child’s needs. Our live and interactive sessions ensure that young learners actively engage with Python programming. With a strong emphasis on student-teacher interaction, your child will receive personalized guidance and support, making it an ideal environment for beginners and those looking to advance their coding skills. Join WinQuest to ignite your child’s passion for coding and set them on a path to a promising future in technology.

Course Content

Prerequisites

Some experience with block-based coding is recommended.

Requirements

A laptop or desktop to connect.
Stable internet connection.
Python Interpreter(usually pre-installed on most Operating Systems)
An IDE (eg:- Visual Studio Code, Eclipse, etc.)

Course Content:

Level 1: Introduction to Python Programming
Age Group: 10+ Duration: 20 hours
Units	Description
Introduction and Setup	What is programming? Introduction to Python. Setting up the development environment. Writing and running a basic “Hello, World!” program.
Variables and Data Types	Understanding data types: int, float, str, bool. Declaring variables and assigning values. Basic arithmetic operations.
Input and Output	Using input() for user input. Printing output with print(). Formatting strings.
Conditional Statements	Introducing if, else if, and else statements. Making decisions with comparisons and logical operators. Writing programs with branching logic.
Loops and Iteration	Introduction to loops: while and for. Creating programs that repeat tasks. Writing programs with loops.
Functions	Defining and calling functions. Function parameters and return values. Writing modular programs.
Lists and Basic Data Structures	Creating and manipulating lists. Accessing list elements and slicing. Basic list operations.
Project – Interactive Story	Students create an interactive text-based story. Utilizing user input, conditionals, and loops. Enhancing the story’s interactivity.
Project – Simple Calculator	Students design a simple calculator program. Implementing functions for arithmetic operations. Incorporating user input and output.

Level 2: Intermediate Python Programming
Age Group: 10+ Duration: 20 hours
Units	Description
Dictionaries and Sets	Introducing dictionaries and key-value pairs. Working with dictionary methods. Understanding sets and their unique elements.
File Handling	Reading from and writing to text files. Using with open() for safe file handling. Storing and retrieving data from files.
Advanced Functions and Modules	Function arguments: default, keyword, and variable-length. Introduction to modules and libraries. Importing modules and using functions from them.
Exception Handling	Dealing with runtime errors using try-except blocks. Handling and customizing exceptions. Using multiple except blocks.
Object-Oriented Programming	Introduction to classes and objects. Defining attributes and methods. Creating instances of classes.
Pygame Introduction	Introducing Pygame library for game development. Setting up Pygame and a basic game loop. Displaying graphics and handling user input.
Project – Basic Game	Students develop a simple game using Pygame. Applying object-oriented principles and loops. Adding interactivity, graphics, and user input.

Level 3: Advanced Python Programming with Game Development
Age Group: 10+ Duration: 20 hours
Units	Description
Advanced Data Structures	Exploring tuples and their immutability. Introducing list comprehensions. Understanding nested data structures.
Advanced File Handling	Working with binary files. Using JSON for data serialization. Handling exceptions related to file operations.
Advanced Object-Oriented Programming	Inheritance and extending classes. Overriding methods and dynamic binding. Implementing class hierarchies.
Advanced Pygame	Creating more complex games with Pygame. Handling collisions, animations, and game states. Implementing sound effects and music.
Advanced Project – Mini Game	Students design an advanced game using Pygame. Incorporating advanced OOP concepts, graphics, and user interactions. Enhancing gameplay with methods, loops, events, and animations.
Final Project – Creative Game	Students develop a creative game of their choice using Pygame. Applying a combination of advanced concepts. Presenting the final project to the class.

Level 4: Introduction to Data Manipulation with NumPy and Pandas
Age Group: 13+ Duration: 20 hours
Units	Description
Why NumPy and Pandas?	Understanding the importance of NumPy and Pandas in data manipulation. Real-world examples of how these libraries are used.
Exploring NumPy	NumPy Arrays Reviewing the concept of arrays in Python. Creating NumPy arrays and performing basic operations. Array Operations Exploring mathematical operations on NumPy arrays. Indexing, slicing, and reshaping arrays. Advanced NumPy Features Introducing broadcasting and element-wise operations. Exploring universal functions (ufuncs).
Data Analysis with Pandas	Introduction to Pandas Recap of Python data structures. Introducing Series and DataFrames in Pandas.
Data Manipulation with DataFrames	Loading and inspecting data from different sources. Filtering, sorting, and selecting data.
Data Analysis with Pandas	Grouping and aggregating data. Computing summary statistics and creating pivot tables.
Working with Missing Data	Handling missing values in DataFrames. Applying a combination of advanced concepts. Filling, dropping, or interpolating missing data.
Advanced Topics	Combining DataFrames Merging and joining DataFrames. Concatenating data along rows and columns.
Data Visualization with Pandas	Using built-in plotting functions in Pandas. Creating simple visualizations using Matplotlib.
Real-World Projects	Students work on individual or group projects using real datasets. Applying NumPy and Pandas skills to analyze and present insights.