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Python Programming & Data Structures for AIML and Data Science
👉 Enroll Today & Become a Job-Ready Python Programmer!
📞 Contact: 8485898120
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RS. 8,000 Only
This course includes
- 2 Months Training Program
- Live Online Sessions
- Basic to advance Training
- 3+ Projects Implementations
- Resume & Interview Preparation
- Hindi Language
- Lifetime Validity
- Chance to win Gifts from us
About Course
This course helps students build a strong foundation in Python programming and core data structures essential for Artificial Intelligence, Machine Learning, and Data Science. Learn how to write efficient programs, manage data, and solve complex problems using practical coding techniques.
By mastering Python and data structures, students gain the skills required to move forward into AI, Machine Learning, and advanced data-driven technologies. 🚀
Course Content
Module 1 : Introduction to Python Programming
- Python Overview
- Applications of Python
- Python Installation
- IDE Setup
- First Python Program
Module 2 : Python Fundamentals
- Variables
- Data Types
- Type Conversion
- Input & Output
- String Basics
- Operators
- Expressions
- Operator Precedence
Module 3 : Control Flow Statements
- If
- If Else
- Nested If
- Elif
- Conditional Expressions
Module 4 : Loops / Iterations
- For Loop
- While Loop
- Nested Loops
- Break
- Continue
- Pass
- Range Function
Module 5 : Strings
- String Creation
- Indexing
- Slicing
- String Methods
- String Formatting
- f-Strings
- Escape Characters
Module 6 : Collections
Lists
- Creation
- Indexing
- Slicing
- Methods
- List Comprehension
Tuples
- Packing
- Unpacking
- Operations
Sets
- Union
- Intersection
- Difference
Dictionaries
- Key Value Pairs
- Methods
- Nested Dictionarie
Module 7 : Functions in Python
- Defining Functions
- Parameters
- Return Values
- Positional Arguments
- Keyword Arguments
- Default Arguments
- Variable Length Arguments
- Recursion
Lambda Functions
- map()
- filter()
- reduce()
Module 8 : Object-Oriented Programming
- Classes & Objects
- Constructors
- Instance Variables
- Class Variables
- Encapsulation
- Inheritance
- Polymorphism
- Method Overriding
- Abstraction
Module 9 : Exception Handling
- Errors vs Exceptions
- try
- except
- else
- finally
- raise
- Custom Exceptions
Module 10 : Multithreading & Multiprocessing
- Threads
- Thread Lifecycle
- Synchronization
- Multiprocessing
- Concurrency Basics
Module 11 : Modules & Packages
- Import Statement
- Custom Modules
- Packages
- Standard Libraries
- pip Package Manager
Module 12 : File Handling
- Reading Files
- Writing Files
- Append Mode
- CSV Files
- JSON Files
Module 13 : Advanced Python Concepts
- Iterators
- Generators
- Decorators
- Closures
- Namespace
- Shallow Copy vs Deep Copy
- Context Managers
Regular Expressions
- Pattern Matching
- Search
- Match
- Replace
Module 14 : Python Data Structures & Algorithms
Linear Data Structures
- Stack
- Queue
- Linked List
Searching
- Linear Search
- Binary Search
Sorting
- Bubble Sort
- Selection Sort
- Insertion Sort
- Merge Sort
Complexity
- Time Complexity
- Space Complexity
- Big O Notation
Module 15 : Git & Git Hub
- Version Control
- Git Installation
- Git Commands
- GitHub Repositories
- Push & Pull
- Branching Basics
Module 16 : Python Specializations (Libraries Overview)
NumPy, Pandas, Matplotlib
Module 17 : Programming Problem Solving & Mini Projects
Mini Projects
- Student Management System
- Library Management System
- Employee Management System
- Bank Management System
Interview Preparation
- Python Interview Questions
- Coding Practice
