• 1if statement
• 2if-else statement
• 3if-elif-else ladder
• 4Nested conditionals
• 5Ternary / Conditional expression (one-liner if-else)
• 6while loop – syntax and use cases
• 7for loop – iterating sequences
• 8range() – start, stop, step
• 9Iterating strings, lists, tuples, dicts with for
• 10Nested loops
• 11break statement – exiting loop early
• 12continue statement – skipping iteration
• 13pass statement – placeholder
• 14else clause with loops (for-else, while-else)
• 15Loop patterns – counting, summing, searching, accumulating
• 16match-case statement (Python 3.10+ structural pattern matching)

Duration: 1 Week

• 1String creation – single, double, triple quotes
• 2String immutability
• 3String indexing – positive and negative
• 4String slicing – [start:stop:step]
• 5String concatenation and repetition
• 6String methods – upper(), lower(), strip(), split(), join(), replace(), find(), count(), startswith(), endswith(), center(), zfill(), encode()
• 7String formatting – % operator, .format(), f-strings (f'')
• 8Escape sequences – \n, \t, \\, \'
• 9Raw strings – r''
• 10String comparison
• 11String membership – in, not in
• 12Multiline strings
• 13String to list and list to string conversions
• 14String unpacking

Duration: 1 Week

• 1Lists – creation, indexing, slicing
• 2List methods – append(), extend(), insert(), remove(), pop(), clear(), sort(), reverse(), copy(), count(), index()
• 3List as stack and queue
• 4Nested lists – 2D lists, matrix operations
• 5List Comprehensions – basic and conditional
• 6Nested List Comprehensions
• 7Tuples – creation, indexing, immutability
• 8Tuple methods – count(), index()
• 9Tuple packing and unpacking
• 10Named Tuples – collections.namedtuple
• 11Sets – creation, add(), remove(), discard()
• 12Set operations – union, intersection, difference, symmetric difference
• 13Set comprehensions
• 14Frozen Sets
• 15Dictionaries – key-value pairs, creation
• 16Dictionary methods – get(), keys(), values(), items(), update(), pop(), setdefault()
• 17Dictionary comprehensions
• 18Nested dictionaries
• 19collections module – Counter, defaultdict, OrderedDict, deque, ChainMap
• 20Choosing the right data structure
• 21Sorting – sorted(), key parameter, operator.itemgetter
• 22Shallow copy vs Deep copy – copy module

Duration: 2 Weeks

• 1Defining and calling functions – def keyword
• 2Function docstrings
• 3Positional arguments
• 4Keyword arguments
• 5Default parameter values
• 6*args – variable positional arguments
• 7**kwargs – variable keyword arguments
• 8Mixing positional, *args, keyword-only, **kwargs
• 9Keyword-only arguments (after *)
• 10Positional-only arguments (before /)
• 11Return values – single and multiple (tuple)
• 12Scope – Local, Enclosing, Global, Built-in (LEGB rule)
• 13global keyword
• 14nonlocal keyword
• 15First-class functions – functions as objects
• 16Higher-order functions – passing and returning functions
• 17Lambda functions – anonymous functions
• 18map() – applying function to iterable
• 19filter() – filtering with a predicate
• 20reduce() – from functools
• 21zip() and enumerate()
• 22sorted() with key function
• 23Closures – inner functions and free variables
• 24Recursion – base case, recursive case
• 25Recursion examples – factorial, fibonacci, tower of Hanoi
• 26Memoization – functools.lru_cache
• 27Function annotations (type hints basics)
• 28Partial functions – functools.partial

Duration: 2 Weeks

• 1What is a module
• 2import statement – import module
• 3from module import name
• 4import as – aliases
• 5__name__ == '__main__' guard
• 6Built-in modules – math, random, statistics, datetime, time, calendar
• 7os module – file system operations, paths, environment variables
• 8sys module – argv, path, exit
• 9pathlib – modern path handling
• 10shutil – high-level file operations
• 11glob – pattern-based file searching
• 12Creating custom modules and packages
• 13__init__.py – package initialization
• 14Relative imports
• 15pip – installing, upgrading, uninstalling packages
• 16requirements.txt – managing dependencies
• 17Virtual environments – venv, creation, activation
• 18pipenv and poetry (overview)
• 19PyPI – Python Package Index overview

Duration: 1 Week

• 1Opening files – open(), file modes (r, w, a, x, b, t, +)
• 2Reading files – read(), readline(), readlines()
• 3Writing and appending to files
• 4Context managers – with statement (best practice)
• 5Working with binary files
• 6File and directory operations – os, pathlib
• 7CSV files – csv module, reader, writer, DictReader, DictWriter
• 8JSON files – json module, load(), loads(), dump(), dumps()
• 9Working with Excel files – openpyxl (intro)
• 10Working with PDF files – PyPDF2 (intro)
• 11Pickling – pickle module, serialize/deserialize objects
• 12configparser – reading .ini / config files
• 13Logging – logging module, levels, handlers, formatters

Duration: 1 Week

• 1What are exceptions vs syntax errors
• 2Common built-in exceptions – ValueError, TypeError, IndexError, KeyError, FileNotFoundError, ZeroDivisionError, AttributeError, ImportError
• 3try-except block
• 4Catching multiple exceptions
• 5except Exception as e – accessing error details
• 6else clause in try-except
• 7finally clause – always executes
• 8Raising exceptions – raise keyword
• 9Re-raising exceptions
• 10Custom exceptions – creating exception classes
• 11Exception chaining – raise ... from ...
• 12Context managers and exceptions
• 13Assertions – assert statement
• 14Debugging basics – print debugging, pdb module

Duration: 1 Week

• 1OOP concepts overview – Encapsulation, Abstraction, Inheritance, Polymorphism
• 2Classes and Objects – class keyword
• 3Constructor – __init__ method
• 4Instance variables vs Class variables
• 5Instance methods, Class methods (@classmethod), Static methods (@staticmethod)
• 6self parameter – what it is and why it exists
• 7Accessing and modifying attributes
• 8Deleting attributes and objects – del
• 9Properties – @property, getter, setter, deleter
• 10Encapsulation – public, _protected, __private (name mangling)
• 11Inheritance – single inheritance, inheriting attributes and methods
• 12super() – calling parent class
• 13Multiple Inheritance – Method Resolution Order (MRO), C3 linearization
• 14Multilevel Inheritance
• 15Hierarchical Inheritance
• 16Mixin classes
• 17Method Overriding
• 18isinstance() and issubclass()
• 19Abstract classes – abc module, ABC, abstractmethod
• 20Interfaces via abstract classes
• 21Polymorphism – duck typing, operator overloading
• 22Magic / Dunder Methods – __str__, __repr__, __len__, __add__, __eq__, __lt__, __getitem__, __setitem__, __contains__, __iter__, __next__, __call__, __enter__, __exit__
• 23Context Managers via classes (__enter__, __exit__)
• 24Dataclasses – @dataclass decorator
• 25Slots – __slots__ for memory optimization
• 26Class decorators – @staticmethod, @classmethod, @property
• 27Object cloning – __copy__, __deepcopy__
• 28Design patterns intro – Singleton, Factory, Observer

Duration: 3 Weeks

• 1Iterators – __iter__, __next__, StopIteration
• 2Generators – yield keyword, generator functions
• 3Generator expressions
• 4yield from – delegating generators
• 5Decorators – function decorators, how they work
• 6Decorator with arguments
• 7Stacking multiple decorators
• 8Class-based decorators
• 9functools.wraps – preserving metadata
• 10Built-in decorators – @property, @staticmethod, @classmethod
• 11Context Managers – contextlib.contextmanager
• 12Regular Expressions – re module
• 13RegEx patterns – ., *, +, ?, [], {}, ^, $, \d, \w, \s, groups
• 14re functions – match(), search(), findall(), sub(), split(), compile()
• 15Named groups in RegEx
• 16Type Hints – typing module, List, Dict, Optional, Union, Tuple, Any
• 17Python 3.10+ type hints – X | Y syntax
• 18Structural Pattern Matching (match-case) – deep dive
• 19Walrus operator := (assignment expressions)
• 20f-string advanced – nested expressions, format spec
• 21String interning and identity
• 22Memory management – garbage collection, reference counting
• 23Profiling – cProfile, timeit
• 24Weak references – weakref module
• 25__slots__ and memory optimization
• 26Metaclasses – type, __new__, custom metaclass

Duration: 2 Weeks

• 1SQL basics review – CREATE, INSERT, SELECT, UPDATE, DELETE
• 2SQLite – sqlite3 module, built into Python
• 3Connecting to SQLite, creating tables
• 4Executing queries – execute(), executemany()
• 5Fetching results – fetchone(), fetchall(), fetchmany()
• 6Parameterized queries – preventing SQL injection
• 7Context managers with databases
• 8MySQL with Python – mysql-connector-python
• 9PostgreSQL with Python – psycopg2 (intro)
• 10SQLAlchemy ORM – models, sessions, queries (intro)
• 11SQLite in real projects – CRUD application

Duration: 1 Week

• 1HTTP basics – GET, POST, PUT, DELETE, status codes
• 2requests library – installation and usage
• 3GET requests – requests.get(), response, JSON parsing
• 4POST requests – sending data, headers, authentication
• 5Working with REST APIs – OpenWeather, GitHub API
• 6API Keys and environment variables
• 7Error handling with API responses
• 8requests.Session for persistent connections
• 9Web Scraping – what it is, legality, robots.txt
• 10BeautifulSoup4 – parsing HTML
• 11BeautifulSoup – find(), find_all(), CSS selectors
• 12Scraping tables, links, images
• 13Handling pagination
• 14Selenium – browser automation basics
• 15Saving scraped data to CSV/JSON

Duration: 1 Week

• 1Why testing matters
• 2unittest – TestCase, setUp, tearDown, assert methods
• 3pytest – setup, writing test functions, fixtures
• 4pytest markers and parameterize
• 5Mocking – unittest.mock, MagicMock, patch
• 6Test coverage – coverage.py
• 7TDD – Test-Driven Development approach
• 8Doctest – testing via docstrings
• 9Integration testing basics

Duration: 1 Week

• 1Project planning and structuring a Python project
• 2Project 1 – Student Grade Management System (File + OOP)
• 3Project 2 – Weather App CLI (requests + OpenWeather API)
• 4Project 3 – Expense Tracker (SQLite + OOP + File export)
• 5Project 4 – Web Scraper – News Headlines (BeautifulSoup)
• 6Project 5 – Task Automation – File Organizer Script
• 7Project 6 – Quiz App (OOP + File handling)
• 8Project 7 – Contact Book CLI (SQLite CRUD)
• 9Writing clean, documented, tested Python code
• 10Publishing a package to PyPI (overview)
• 11GitHub project setup – README, .gitignore, requirements.txt
• 12Python coding interview prep – common problems and patterns

Duration: 2 Weeks