Master Python Programming from Basics to Advanced

• What is Python? Understand the history and features that make Python one of the most
popular programming languages today.
• Install Python and Environment Setup: Learn how to set up your development environment
for Python programming.
• First Python Program: Write your first Python script and get familiar with the basics.
• Identifiers, Keywords, and Indentation: Master the fundamental rules of Python syntax.

• Command Line Arguments: Learn how to work with command-line inputs.
• Getting User Input: Interact with users by collecting input.
• Python Data Types: Explore various data types in Python, including integers, strings, and
f
loats.
• Variables and Core Objects: Understand how to work with variables and Python's core
objects.
• Numbers and Math: Perform mathematical operations and work with numbers in Python.

• Lists, Ranges, and Tuples: Learn to work with different data structures for storing collections
of data.
• Iterators and Generators: Master the techniques for creating and using iterators and
generators.
• Comprehensions and Lambda Expressions: Write concise and powerful code using
comprehensions and lambda functions.
• Yield, Next, and Ranges: Dive deep into advanced iteration techniques.
• Dictionaries and Sets: Understand Python's mapping and set data structures.

• Input and Output Operations: Learn how to read from and write to files.
• Text and Binary Files: Work with different file formats in Python.
• Appending and Using Pickle: Append data to files and use the Pickle module for binary file
handling.

• Built-in and User-Defined Functions: Leverage Python's powerful built-in functions and
create your own.
• Defining and Calling Functions: Learn how to structure your code using functions.
• Anonymous Functions: Explore the use of lambda functions for short, unnamed code blocks.
• Loops and Statements: Master control flow in Python with loops, conditionals, and
statements.
• Modules and Packages: Organize your code with modules and packages for better
manageability.

• Overview of OOP: Understand the principles of Object-Oriented Programming.
• Creating Classes and Objects: Learn how to define classes and create objects in Python.
• Attributes and Methods: Work with class attributes and methods to build sophisticated
applications.
• Built-in Class Attributes: Explore Python's built-in class attributes.
• Destroying Objects: Manage memory by properly destroying objects.

• Handling Exceptions: Learn how to manage errors in your code with try-except blocks.
• try-except-else and try-finally: Use advanced exception handling techniques.
• Standard and User-Defined Exceptions: Work with Python's built-in exceptions or define
your own.
• Raising Exceptions: Learn how to trigger exceptions in your code.

• Introduction to Regular Expressions: Learn how to work with patterns in text using regular
expressions.
• The match and search Functions: Understand the difference between matching and
searching.
• Search and Replace: Use regular expressions to search and replace text.
• Extended Regular Expressions: Work with more advanced regex patterns.
• Wildcards: Learn how to use wildcards to match any character.

• Multithreading: Understand how to execute multiple threads simultaneously in Python.
• The Threading Module: Learn to manage threads with Python's threading module.
• Synchronizing Threads: Ensure thread safety by synchronizing threads.
• Priority Queue: Work with priority queues in a multithreaded environment.

• NumPy: Master array operations with NumPy, including creating arrays, indexing,
transposing, and array processing.
• Universal Array Functions: Use NumPy's built-in functions for array operations.
• Array Input and Output: Learn how to efficiently manage array data.

• Apply What You Learn: Implement Python concepts in a real-time project or case study,
focusing on practical applications.