Python Programming Course in Pune Maharastra

Python Programming Course

Python is the backbone of modern cybersecurity automation. This course helps you master Python to identify, exploit, and defend against real-world cyber threats.

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Master Python for Ethical Hacking & Cyber Security

Our Python Programming Course is designed for aspiring ethical hackers, penetration testers, and security professionals. You’ll start from basics like variables and loops, then dive deep into automation, network scripting, and exploit writing. With hands-on labs and live projects, you’ll learn to use Python for scanning, malware analysis, and vulnerability assessment. By the end, you’ll be equipped to code your own cybersecurity tools with confidence.

Course Curriculum

  • What is Python? A high-level introduction to Python’s core purpose and applications.
  • History of Python: Explore the background and evolution of Python from its inception.
  • Versions of Python: A breakdown of the different versions and updates.
  • Features of Python: Discuss key features like simplicity, readability, and versatility.
  • Python vs Other Languages: Compare Python with other programming languages like Java, C++, etc.
  • How Python Executes Programs: Understand how Python executes code and interprets it.
  • Python Comments: Learn about single-line and multi-line comments in Python.
  • Understanding Variables: What are variables and how are they used in Python?
  • Assigning Variables: Syntax and rules for assigning variables in Python.
  • Data Types in Python: Introduction to Python’s core data types like int, float, string, etc.
  • Types of Operators: Learn about arithmetic, relational, logical, bitwise, and other operators.
  • Operator Precedence & Associativity: How Python evaluates expressions based on operator precedence.
  • The If Statement: Structure and usage of if statements in Python.
  • If-Else Statements: Adding conditions with else.
  • Elif Statements: Working with multiple conditions using elif.
  • Nested If-Else Statements: Embedding conditional statements within each other
  • For Loop: Learn how to iterate over sequences using for loops.
  • While Loop: Understand the while loop and its usage.
  • Break Statement: How to break out of loops.
  • Continue Statement: Skipping iterations in loops.
  • Pass Statement: Using pass for placeholder statements.
  • Converting Data Types: Learn how to cast between different data types in Python.
  • Mathematical Functions: Overview of built-in math functions.
  • Random Functions: How to generate random numbers in Python.
  • Trigonometric Functions: Utilizing Python’s trigonometric functions.
  • Accessing Strings: Working with string indexes and slices.
  • Basic String Operations: Concatenation, repetition, and other string manipulations.
  • String Slicing: Learn how to extract substrings.
  • String Built-In Functions: Exploring Python’s built-in string methods.
  • Introduction to Lists: Understanding lists and their uses.
  • Accessing Lists: Indexing and slicing lists.
  • List Operations: Learn about adding, removing, and modifying list elements.
  • Working with Lists: Common methods and techniques for list manipulation.
  • List Slicing: Extract sublists.
  • Aliasing and Cloning: Understand references and copying lists.
  • List Comprehension: A concise way to create lists.
  • Deleting Lists: How to remove elements or entire lists.
  • List Built-In Functions: Commonly used list methods like len()append(), etc.
  • Classes and Objects: Learn object-oriented programming in Python.
  • Attributes: Understanding class attributes.
  • Inheritance: Reusing code with inheritance.
  • Overloading and Overriding: Implementing function overloading and method overriding.
  • Interface and Abstraction: Implementing OOP principles like abstraction.
  • Introduction to Tuples: What are tuples, and how are they different from lists?
  • Creating Tuples: Tuple creation and initialization.
  • Accessing and Modifying Tuples: Indexing and modifying tuple values.
  • Tuple Deletion: Removing elements from tuples.
  • Tuple Built-In Functions: Commonly used tuple functions.
  • Introduction to Dictionaries: What is a dictionary, and when is it used?
  • Declaring and Accessing Dictionaries: How to create and access dictionary elements.
  • Dictionary Operations: Adding, removing, and updating key-value pairs.
  • Dictionary Built-In Functions: Important functions like get()keys()values(), etc.
  • Introduction to Sets: An overview of sets and their properties.
  • Declaring Sets: How to create and declare sets in Python.
  • Set Operations: Learn about union, intersection, and other set operations.
  • Set Built-In Functions: Common set methods like add()remove(), etc.
  • Introduction to sys: Learn how to use the sys module for system-specific parameters.
  • Working with OS Module: Understand how to interact with the operating system using the os module.
  • Defining Functions: Creating functions in Python.
  • Calling Functions: Learn how to call and use functions.
  • Types of Functions: Explore built-in, user-defined, and anonymous (lambda) functions.
  • Global and Local Variables: Understand variable scope in Python.
  • The Import Statement: Learn how to import modules.
  • From…Import: Selectively importing parts of a module.
 
  • Opening and Closing Files: Understand file handling operations.
  • Reading and Writing Files: Learn how to read and write to files.
  • Renaming and Deleting Files: How to manage files using Python’s os module.
  • Directories: Navigating directories and file structures.
  • Error Handling: Types of exceptions and how to handle them.
  • Raising Exceptions: Manually trigger exceptions.
  • User-Defined Exceptions: Create and raise custom exceptions.
  • Working with Threads: Learn how to create and start threads.
  • Thread Synchronization: Handling thread safety and synchronization.
  • Sending Emails with Python: Learn how to send emails programmatically.
  • Using Regular Expressions: Learn to search patterns in text.
  • Match and Search Functions: Difference between match() and search().
  • Introduction to Web Scraping: How to extract data from websites using Python.
  • Introduction to Data Science: How Python is used in data analysis and visualization.
  • Introduction to Machine Learning: Basics of using Python for machine learning applications.

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Material Included

Pre Requirements

Students should have prior knowledge with Operation System such as : Windows 7, 8, 10, or 11 etc.

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Recon_Pune 18th October 2022