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