Unit 1: Python Basics

Syntax

• Keywords
• Indentation
• Comments
• Statements
• Multi-line Statements

Variables

• Variable declaration
• Variable assignment
• Naming Conventions
• Scope (Local, Global)
• Data Types (int, float, str, bool, None)
• Type conversion
• Type hints
• Constants

Operators

• Arithmetic (+, -, *, /, %, **, //)
• Comparison (==, !=, <, >, <=, >=)
• Logical (and, or, not)
• Assignment (=, +=, -=, =, /=, %=, //=, *=)
• Bitwise (&, |, ^, ~, <<, >>)
• Identity (is, is not)
• Membership (in, not in)

Control Structures

• Conditional (if, elif, else)
• Loops (for, while)
• Break/Continue/Pass
• Nested Loops
• Assertions
• Exception Handling (try, except, finally, raise)

Input/Output

• Input (input())
• Output (print())
• File I/O (open(), read(), write(), close())
• Context Managers (with statement)
• print()

Functions

• Function Definition (def)
• Function Parameters (Positional, Keyword, Default, Arbitrary)
• Return Values
• Lambda Functions
• Anonymous Functions
• Recursive Functions

Modules and Packages

• Importing Modules (import, from ... import ...)
• Module Attributes and Methods
• Creating Packages
• Installing Packages (pip)
• Virtual Environments (venv)

---

Unit 2: Python Functions and Libraries

Functions

• Scope (Local, Global, Nonlocal)
• Closures
• Decorators
• Generators
• Generator Expressions
• Higher-order Functions (map, filter, reduce)

Standard Libraries

• math
• random
• datetime
• os
• sys
• re (Regular Expressions)
• collections (Deque, Counter, DefaultDict)
• itertools
• functools
• functools.lru_cache
• functools.partial
  

  External Libraries

• NumPy
• Pandas
• Matplotlib
• SciPy
• Scikit-learn
• TensorFlow/Keras
• PyTorch
• Flask
• Django
• Requests
• BeautifulSoup
• SQLAlchemy
• PyPDF2
• OpenCV
• NLTK
• Selenium
• Pygame

---

Unit 3: Data Structures in Python

Lists

• List Creation
• Indexing/Slicing
• Methods (append, extend, insert, remove, pop, sort, reverse)
• List Comprehensions
• List Iteration
• Accessing elements
• List operations (append, extend, insert, remove, pop, clear)
• List slicing
• List methods (sort, reverse, copy)

Tuples

• Tuple creation
• Accessing elements
• Tuple unpacking
• Immutable nature
• Tuple methods (count, index)
• Packing/Unpacking

Dictionaries

• Key-Value Pairs
• Dictionary creation
• Accessing elements
• Dictionary operations (update, get, keys, values, items)
• Dictionary methods (fromkeys, setdefault, popitem)
• Dictionary comprehension
• Nested dictionaries
• Accessing Values
• Methods (keys, values, items, get, update, pop)
• Dictionary Comprehensions

Sets

• Unordered & Unique Elements
• Operations (union, intersection, difference, symmetric_difference)
• Methods (add, remove, discard, clear)
• Frozen Sets
• Set creation
• Set operations (union, intersection, difference, symmetric_difference)
• Set methods (add, remove, discard, pop, clear)
• Set comprehension

Strings

• Concatenation
• Slicing
• Methods (split, join, replace, find, lower, upper)
• Formatting (F-Strings, format)

Other Collections

• Named Tuples
• Deques (from collections module)

---

Unit 4: Algorithms in Python

Problem-Solving Approaches

• Abstraction
• Decomposition
• Pattern Recognition
• Debugging
• Iteration
• Recursion
• Simulation

Sorting Algorithms

• Bubble Sort
• Selection Sort
• Insertion Sort
• Merge Sort
• Quick Sort
• Heap Sort

Searching Algorithms

• Linear Search
• Binary Search
• Hashing

Graph Algorithms

• BFS (Breadth-First Search)
• DFS (Depth-First Search)
• Dijkstra’s Algorithm
• Kruskal’s Algorithm
• Prim’s Algorithm
• Floyd-Warshall
• Bellman-Ford
• A* (Pathfinding)
• Topological Sorting
• Graph traversal (BFS, DFS)
• Shortest path algorithms (Dijkstra, Bellman-Ford)
• Minimum spanning tree (Kruskal, Prim)
• Network flow (Ford-Fulkerson, Edmonds-Karp)
  

  Dynamic Programming

• Memoization
• Tabulation
• Classic Problems (Knapsack, LCS, LIS)
• Bitmask DP
  

  Algorithm Analysis

• Time complexity (Big-O, Omega, Theta)
• Space complexity
• Tradeoffs
• Scalability
• Optimization
  

  Dynamic Programming

• Memoization
• Tabulation
• Classic Problems (Knapsack, LCS, LIS)
• Bitmask DP

String Algorithms

• Substring Search (KMP, Boyer-Moore, Rabin-Karp)
• Longest Common Subsequence (LCS)
• Edit Distance (Levenshtein Distance)

Algorithm Analysis

• Time Complexity (Big-O, Omega, Theta)
• Space Complexity
• Tradeoffs
• Scalability
• Optimization

---

Unit 5: Advanced Python and Integration

Advanced Concepts

• Classes
• Inheritance (Single, Multiple, Multilevel, Hierarchical)
• Polymorphism
• Encapsulation
• Abstraction
• Interfaces
• Abstract Base Classes (ABC)
• Properties
• Class Methods
• Static Methods
• Special (Magic) Methods
• Iterators
• Generators
• Decorators
• Context Managers
• Metaclasses
• Type Hints
  

  Classes and Objects

• Class Definition
• Object Creation
• Attributes
• Methods
• Constructors (__init__)
• Destructors (__del__)
• Object Creation
• Attributes
• Methods
• Constructors (__init__)
• Destructors (__del__)

Inheritance

• Single Inheritance
• Multiple Inheritance
• Method Overriding
• Polymorphism

Decorators

• Function Decorators
• Class Decorators
• Built-in Decorators (@staticmethod, @classmethod, @property)

Generators

• Yield Keyword
• Generator Expressions
• Iterators vs Generators

Context Managers

• with Statement
• Custom Context Managers
  

  Error Handling

• Exceptions (try, except, finally)
• Custom Exceptions

Python Libraries

• NumPy (Array Manipulation, Linear Algebra)
• Pandas (Data Manipulation, Data Analysis)
• Matplotlib (Data Visualization)
• SciPy (Scientific Computing)
• Scikit-learn (Machine Learning)
• TensorFlow/Keras (Deep Learning)
• PyTorch (Deep Learning)
• Flask (Web Development)
• Django (Web Development)
• Requests (HTTP Requests)
• BeautifulSoup (Web Scraping)
• SQLAlchemy (Database Interaction)
• PyPDF2 (PDF Manipulation)
• OpenCV (Computer Vision)
• NLTK (Natural Language Processing)
• Selenium (Web Automation)
• Pygame (Game Development)
  

  Data Analysis

• pandas (DataFrames, Series)
• numpy (Arrays, Matrices)
• scipy (Scientific Computing)

Machine Learning

• scikit-learn (Classification, Regression, Clustering)
• tensorflow (Deep Learning)
• keras (High-Level API for Neural Networks)

Web Development

• flask (Microframework)
• django (Full-Stack Framework)
• APIs (requests, fastapi)

Visualization

• matplotlib (Plots, Charts)
• seaborn (Statistical Graphics)
• plotly (Interactive Visualizations)

---

8. Miscellaneous Terms

File Handling

• Modes (r, w, a, rb, wb)
• Reading/Writing Files
• File Paths

Modules and Packages

• Creating Modules
• Organizing Code into Packages
• Importing from Packages

Virtual Environments

• venv
• Isolating Dependencies

Testing

• Unit Testing (unittest, pytest)
• Test-Driven Development (TDD)

Version Control

• Git Basics
• Branching/Merging
• Collaboration

Integration of Python with Excel

Automating Excel Tasks

• Reading/Writing Excel Files (openpyxl, xlsxwriter, pandas)
• Manipulating Cells and Sheets
• Formatting Data
• Generating Reports

Excel Libraries

• openpyxl
• xlsxwriter
• pandas (Excel I/O)

Real-World Applications

• Data Cleaning
• Report Generation
• Automation Scripts
• Reading/Writing Excel Files (openpyxl, xlsxwriter, pandas)
• Manipulating Cells and Sheets
• Formatting Data
• Generating Reports
• Excel Libraries
  • openpyxl
  • xlsxwriter
  • pandas.ExcelWriter
  • pyxlsb (Binary Excel Files)
  • xlrd (Reading Excel Files)
  • xlwt (Writing Excel Files)
  • xlutils (Manipulating Excel Files)
  • win32com.client (COM Automation)
  • pywin32 (Windows API Access)

---

Miscellaneous Terms

File Handling

• Modes (r, w, a, rb, wb)
• Reading/Writing Files
• File Paths

Modules and Packages

• Creating Modules
• Organizing Code into Packages
• Importing from Packages

Virtual Environments

• venv
• Isolating Dependencies

Testing

• Unit Testing (unittest, pytest)
• Test-Driven Development (TDD)
• Mocking

Version Control

• Git
• GitHub
• Branching/Merging
• Collaboration

---

Additional Key Concepts

Concepts

• Memory Management
• Garbage Collection
• Reference counting
• Smart pointers
• Mutable vs Immutable
• Shallow vs Deep Copy

Best Practices

• Code Readability
• Documentation
• Modular Design
• Optimization Techniques
• PEP-8

Debugging Tools

• pdb (Python Debugger)
• Logging (logging module)
• Profiling (cProfile)
• Breakpoints