Part 1: Python Fundamentals: Learn the basics of Python programming using real-world applications and games.

Module 1: Getting familiar: Set up your Python environment, choose the   IDE, and learn the basics of printing.

  • Interpreters and Compilers
  • Modes of programming
  • Python IDEs
  • Understanding IDLE
  • Print function- your first program with end and sep
  • Escape characters.
  • Python Character set
  • Indentation
  • Writing Comments

Module 2: Python tokens and introduction to datatypes

  • Different Python tokens
  • Variables; Rules for naming, and multiple assignments
  • Expressions
  • Operators; types and precedence
  • Taking user inputs with the “int” function
  • Numeric datatypes
  • Boolean
  • Sequence datatypes
  • Data type conversions
  • Practice problem-solving with operators and inputs

Module 3: Decision-making and Loops in Python; Learning conditional statements and loops!

  • Python if, if-else, else-if, nested-if
  • Python Loops (for, and while)
  • Patterns using nested loops.
  • Floyd’s triangle
  • Fibonacci series
  • Palindrome check
  • Python break, continue and pass statements.
  • Assessment

Module 4: Using string data type and built-in functions.

  • Strings; Definition and properties
  • Indexing, traversing, and manipulations
  • Slicing operation
  • Operators with Strings
  • Immutability property
  • Built-in functions
  • String to list conversions
  • Word guessing game.
  • Project- password validity check

Module 5: Sequence data types; List, Tuples, Set, and Dictionaries

  • Lists; Creating lists, properties, indexing, slicing, and accessing the elements.
  • List operations and built-in functions
  • List to string conversion
  • Nested lists
  • List comprehensions
  • Menu-driven database with CRUD options
  • Tuples; creating, properties.
  • Built-in functions in tuples
  • Defining Sets, properties, advanced operations
  • Lottery project using Sets operations.
  • Creating a dictionary, built-in functions
  • Creating a nested dictionary to make an employee database.
  • Pretty printing with json
  • Learn to update your movie dictionary.
  • Case study to compare the data types.

Module 6: Built-in modules; Importing modules!

  • Understanding the concept of modules and how to import them.
  • Using Multiple Modules
  • Number guessing game using Random module.
  • Dice game, and password cracking
  • Math module for basic mathematical operations
  • Alarm using DateTime and playsound
  • Mean, mode, and median using the statistics module.
  • Calendar module
  • Operating System Management using OS module.
  • Accessing Modules from another Directory
  • Introduction to Packages
  • Project-Scrabble game with nltk

Module 7: Functions; Organize your code using functions.

  • User-defined and built-in functions.
  • Function definition and call
  • Function Arguments
  • Types of user-defined functions
  • Returning multiple values
  • Scope and lifetime of Variables
  • Passing sequence datatypes to a function
  • Lambda, map, reduce, and filter functions.
  • Import user-defined functions.
  • Rock, paper, scissor game

Module 8: File handling- basics; Data storage

  • Accessing text files; basic read and write methods using various modes.
  • Reading binary images and reconstructing them
  • Bin files using encode and decode functions.
  • Create a quiz project using file access methods.
  • Renaming files using the OS module
  • Create a soccer project by modifying and deleting files.

Part 2: Learn real-world Python with advanced programming concepts.

Module 1: IDE; Working with the common IDEs.

  • Introduction to Jupyter Notebook and PyCharm
  • Getting familiar with the Notebook interface
  • Working with Notebook
  • Understand the PyCharm environment and features.

Module 2: File management; Common types of files and how to parse them.

  • Binary file handling using Pickle.
  • Reading png images and conversion to binary using base64
  • Importing files
  • Parsing CSV files using the readlines method
  • Parsing CSV files using the CSV module
  • JSON -in everyday life
  • Inter-file conversions
  • Data display using Tabulate.
  • Projects using CSV and Tabulate

Module 3: Error handling and debugging

  • Most common exception errors in Python
  • Exception Handling using Try, Finally, and Except blocks.
  • Resource handling during exceptions
  • Use of Python Built-in Exception
  • Python Debugger (PDB)
  • Practice problems

Module 4: Object-Oriented Programming in Python

  • Procedural vs Object-Oriented Programming
  • Concept of data hiding
  • Class and Objects
  • __init__ function
  • Use of self in OOPS
  • Class Variables vs Instance Variables
  • Accessor & Mutator in Python
  • Inheritance
  • Polymorphism
  • Method Overriding
  • Special methods
  • Assignments

Module 5: Basics of Regular Expressions

  • RegEx patterns!
  • The re Library
  • Meta characters
  • RegEx functions
  • Grouping
  • Replace with sub () method.
  • Use of Special Characters
  • Projects

Module 6: Fundamentals of Data Science

  • Scientific Computing using “numPy”
  • Using functions to create, sort and split “numpy arrays”
  • Artificial images using “numpy”
  • Interactive data visualizations using “Matplotlib”!
  • Understand “DataFrames” in Pandas.
  • Accessing elements and operations with “DataFrames”
  • Dealing with “NaN” values
  • “groupby” methods in “DataFrames”.
  • Projects

Module 7: Fundamentals of Image Processing using “Pillow”

  • Importing and reading JPEG images using Pillow
  • Converting images to numpy
  • Changing basic image attributes-size
  • Crop an image, copy and paste
  • Rotate and flip an image!
  • Projects

Module 8: Communication Over Networks

  • Chat Application
  • Sending a Text e-mail using Python
  • Sending an HTML e-mail using Python
  • Sending Attachments as an E-mail
  • Application-based projects

Module 9: Web Scraping using Python!

  • HTML structure
  • Parsing HTML using BeautifulSoup4

Module 10: GUI with “Tkinter”

  • Intro to GUI using “Tkinter”
  • Basic definitions and concepts
  • Create the First GUI Application
  • Creating windows and buttons
  • Packer
  • Get Input Using Entry Class
  • Frames and Notebook
  • Creating a file menu with edit and save options.
  • Projects and assessments

Module 11: Fundamentals of Machine Learning

Module 12: Fundamentals of Artificial Intelligence

Open A World Full of Possibilities

Teaching fundamental programming to children, especially at a young age, opens up a world of possibilities for them to develop and prosper. Learning to code encourages critical thinking in children and prepares them for a society that is becoming increasingly tech-driven.

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