Python Training
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This Course includes the following Topic
Python Basics to DSA
Python Basics
Getting Started
- What is Python?
- Installing Python and setting up the environment.
- Running your first Python program.
Syntax and Fundamentals
- Variables and data types (int, float, str, bool).
- Python operators (arithmetic, comparison, logical, bitwise).
- Input and output (input(), print()).
Control Flow
- Conditional statements (if, elif, else).
- Loops:
- for loops.
- while loops.
- break, continue, and pass.
Functions
- Defining functions (def keyword).
- Parameters and return values.
- Default arguments and keyword arguments.
- Recursive functions.
Python Data Structures
- Built-in Data Structures
- Lists:
- Creation, indexing, slicing, and operations.
- List comprehensions.
- Tuples:
- Immutable sequences.
- Use cases.
- Dictionaries:
- Key-value pairs.
- Adding, updating, and deleting keys.
- Sets:
- Unique collections.
- Set operations (union, intersection, difference).
- Advanced Operations
- Iterating through data structures.
- Nested data structures (lists of lists, dictionaries of lists).
Object-Oriented Programming (OOP)
Introduction to Classes and Objects
- Defining classes.
- Creating and using objects.
- OOP Concepts
- Inheritance, polymorphism, and encapsulation.
- Special methods (__init__, __str__, __repr__).
- Python Algorithms
- Sorting
- Bubble Sort.
- Selection Sort.
- Insertion Sort.
- Searching
- Linear Search.
- Binary Search.
- Understanding Algorithm Complexity
- Big-O notation.
- Analyzing time and space complexity.
Python Libraries for DSA
- Important Libraries
- collections (Deque, defaultdict, Counter).
- heapq (priority queues).
- itertools (permutations, combinations).
- functools (memoization with lru_cache).
Advanced Data Structures
Stack
Queue
Linked List
Trees
Graph
Hash Table
Heaps
Advanced Algorithms
Divide and Conquer
- Merge Sort.
- Quick Sort.
Dynamic Programming
- Greedy Algorithms
- Backtracking