Complete Python Programming Masterclass

📚 Topics Covered

• What is programming? How computers understand code
• Why Python? History, features, and popularity
• Python applications: web, data science, AI, automation, games
• Python 3 installation (Windows, Mac, Linux)
• Setting up development environment: VS Code, PyCharm
• Running Python: interactive shell vs script files
• IDLE, Jupyter Notebook, and Google Colab introduction
• Your first Python program: print('Hello World')
• Python syntax rules and code structure
• Comments: single-line (#) and multi-line (''')

• Indentation and its importance in Python
• Python PEP 8 style guide basics

📚 Topics Covered

• Variables: naming rules and conventions
• Assignment operator (=) and multiple assignments
• Data types: int, float, string, boolean
• Type checking with type() function
• Type conversion: int(), float(), str(), bool()
• Arithmetic operators: +, -, *, /, //, %, **
• Comparison operators: ==, !=, >, <, >=, <=
• Logical operators: and, or, not
• Assignment operators: +=, -=, *=, /=
• String basics: creation, concatenation, repetition

• String indexing and slicing [start:stop:step]
• F-strings and string formatting (format(), %)

📚 Topics Covered

• Boolean expressions and truthiness
• If statement: basic conditional execution
• If-else: two-way branching
• If-elif-else: multi-way branching
• Nested if statements
• Ternary operator (conditional expression)
• While loop: condition-based repetition
• Infinite loops and break statement
• Continue statement to skip iterations
• For loop: iterating over sequences

• Range function: range(start, stop, step)
• Nested loops and loop patterns

📚 Topics Covered

• What are functions? DRY principle
• Defining functions with 'def' keyword
• Parameters and arguments (positional, keyword)
• Return statement and return values
• Multiple return values (tuples)
• Default parameter values
• Variable scope: local vs global
• Global and nonlocal keywords
• Docstrings for function documentation
• *args for variable positional arguments

• **kwargs for variable keyword arguments
• Lambda functions (anonymous functions)
• Built-in functions: len, sum, max, min, abs, round

📚 Topics Covered

• Lists: creating and accessing elements
• List indexing (positive and negative)
• List slicing: extracting sublists
• List methods: append, insert, extend
• Removing elements: remove, pop, clear
• List methods: sort, reverse, copy
• index() and count() methods
• List comprehensions: compact list creation
• Nested lists (2D lists, matrices)
• Iterating lists with for loops

• Enumerate function for index-value pairs
• List vs tuple: mutability difference

📚 Topics Covered

• Tuples: immutable sequences
• Tuple packing and unpacking
• Tuple methods: count, index
• When to use tuples vs lists
• Sets: unordered unique collections
• Set operations: union, intersection, difference
• Set methods: add, remove, discard, clear
• Dictionaries: key-value pairs
• Accessing, adding, updating dictionary items
• Dictionary methods: keys(), values(), items()

• get() method with default values
• Dictionary comprehensions
• Nested dictionaries for complex data

📚 Topics Covered

• String methods: upper, lower, title, capitalize
• strip, lstrip, rstrip for whitespace removal
• find, index, count methods
• replace method for string substitution
• split and join methods
• startswith and endswith methods
• String validation: isalpha, isdigit, isalnum
• String formatting: old style, format(), f-strings
• Multi-line strings and raw strings
• String immutability and string building

• Regular expressions introduction (re module)
• Common string algorithms

📚 Topics Covered

• What is Object-Oriented Programming?
• Classes and objects: blueprint and instances
• Creating classes with 'class' keyword
• The __init__ constructor method
• Instance variables (attributes)
• Instance methods
• Self parameter explained
• Creating and using objects
• Class vs instance attributes
• Class methods with @classmethod decorator

• Static methods with @staticmethod decorator
• __str__ and __repr__ magic methods

📚 Topics Covered

• Inheritance: parent and child classes
• Method overriding in child classes
• Super() function to call parent methods
• Multiple inheritance
• Method Resolution Order (MRO)
• Polymorphism: same interface, different implementation
• Duck typing in Python
• Abstract base classes (ABC module)
• Encapsulation: public, protected, private
• Name mangling with double underscore

• Property decorators: @property, @setter
• Composition vs inheritance

📚 Topics Covered

• Opening files: open() function and modes (r, w, a, r+)
• Reading files: read(), readline(), readlines()
• Writing to files: write(), writelines()
• With statement for automatic file closing
• File paths: absolute vs relative
• Working with CSV files
• JSON file handling: json.dump(), json.load()
• Exception handling: try-except blocks
• Catching specific exceptions
• Multiple except blocks

• Else and finally clauses
• Raising exceptions with 'raise'
• Creating custom exceptions

📚 Topics Covered

• Importing modules: import, from...import
• Creating custom modules
• Module search path and PYTHONPATH
• Packages and __init__.py
• Creating package structures
• Math module: mathematical functions
• Random module: random numbers and choices
• Datetime module: working with dates and times
• OS module: operating system interface
• Sys module: system-specific parameters

• Collections module: deque, Counter, defaultdict
• Itertools module: efficient iterators

📚 Topics Covered

• List comprehensions with conditions
• Nested list comprehensions
• Dictionary comprehensions
• Set comprehensions
• Generator expressions
• Map function for transformations
• Filter function for filtering
• Reduce function for aggregation
• Lambda functions in functional programming
• Zip function for parallel iteration

• All and any functions
• Sorted function with key parameter

📚 Topics Covered

• Algorithm complexity: Big O notation basics
• Searching algorithms: linear search
• Binary search algorithm
• Sorting algorithms: bubble sort
• Selection sort and insertion sort
• Merge sort and quick sort basics
• Recursion: base case and recursive case
• Recursive problem solving
• Fibonacci sequence (iterative vs recursive)
• Factorial calculation

• Tower of Hanoi
• Dynamic programming introduction

📚 Topics Covered

• Stacks: LIFO principle, implementation
• Stack applications: parenthesis matching
• Queues: FIFO principle, implementation
• Deque (double-ended queue)
• Linked lists: singly linked list
• Doubly linked list
• Trees: binary tree basics
• Tree traversal: inorder, preorder, postorder
• Hash tables and hash functions
• Graphs: representation and basics

• Graph traversal: BFS and DFS
• Choosing right data structure

📚 Topics Covered

• Why testing matters
• Manual testing vs automated testing
• Unit testing with unittest module
• Test cases and assertions
• SetUp and tearDown methods
• Pytest framework introduction
• Writing pytest test functions
• Test fixtures in pytest
• Parameterized testing
• Code coverage with coverage.py

• Debugging techniques in Python
• Using Python debugger (pdb)
• Logging with logging module

📚 Topics Covered

• Decorators: function decorators
• Creating custom decorators
• Class decorators
• Decorators with arguments
• Generators and yield keyword
• Generator functions vs generator expressions
• Iterators and __iter__, __next__
• Context managers and 'with' statement
• Creating context managers with __enter__, __exit__
• Metaclasses basics

• Operator overloading
• Magic methods (__add__, __len__, __getitem__, etc.)

📚 Topics Covered

• Object-oriented design
• Algorithm implementation
• File-based data persistence
• Error handling throughout
• Unit testing
• Code documentation

📚 Topics Covered

• What is version control?
• Git installation and setup
• Git basic commands: init, add, commit
• Git workflow: working directory, staging, repository
• Checking status and history: status, log
• Branches: creating and switching
• Merging branches
• Handling merge conflicts
• Remote repositories: GitHub
• Push, pull, clone operations

• GitHub collaboration basics
• .gitignore file for Python projects

📚 Topics Covered

• Why virtual environments?
• Venv module for creating environments
• Activating and deactivating environments
• Pip package manager
• Installing packages with pip
• Requirements.txt file
• Pip freeze for dependency tracking
• Pipenv for advanced package management
• Poetry package manager
• Publishing packages to PyPI

• Creating setup.py for distribution
• Best practices for Python projects

📚 Topics Covered

• Regular expressions (regex) introduction
• Re module in Python
• Basic patterns: literals, wildcards
• Character classes and ranges
• Quantifiers: *, +, ?, {n,m}
• Anchors: ^, $, \b
• Groups and capturing
• Search, match, findall, finditer
• Substitution with sub() and subn()
• Regex flags: IGNORECASE, MULTILINE

• Common regex patterns
• Real-world text processing

📚 Topics Covered

• What are APIs? REST API basics
• HTTP methods: GET, POST, PUT, DELETE
• Requests library for HTTP
• Making GET requests
• Parsing JSON responses
• Query parameters and headers
• POST requests with data
• API authentication basics
• Web scraping introduction
• BeautifulSoup library

• Parsing HTML structure
• Ethics and legality of web scraping

📚 Topics Covered

• Concurrency vs parallelism
• Threading basics with threading module
• Creating and starting threads
• Thread synchronization
• Multiprocessing module
• Process creation and management
• Pool for parallel execution
• AsyncIO for asynchronous programming
• Async/await syntax
• Concurrent.futures module

• ThreadPoolExecutor and ProcessPoolExecutor
• When to use threading vs multiprocessing

📚 Topics Covered

• Introduction to web development
• Flask installation and setup
• Creating first Flask application
• Routes and URL mapping
• Dynamic routes with variables
• HTTP methods: GET and POST
• Request and response objects
• Rendering templates with Jinja2
• Template inheritance and blocks
• Static files: CSS, JavaScript, images

• Form handling in Flask
• Flask sessions and cookies

📚 Topics Covered

• Flask Blueprints for modular apps
• Application factory pattern
• Configuration management
• Error handling and custom error pages
• Flask-WTF for forms
• Form validation
• Building RESTful APIs with Flask
• Flask-RESTful extension
• JSON responses
• API versioning

• CORS handling
• API documentation with Swagger

📚 Topics Covered

• Django introduction and philosophy
• Django installation and project creation
• Django project vs app structure
• MVT (Model-View-Template) architecture
• URL routing and URL patterns
• Views: function-based views
• Class-based views
• Django templates and template language
• Template filters and tags
• Static files in Django

• Django admin interface
• Django settings and configuration

📚 Topics Covered

• Django ORM (Object-Relational Mapping)
• Defining models and fields
• Field types and options
• Database migrations: makemigrations, migrate
• QuerySet API: all, filter, get
• Field lookups and query expressions
• Related objects: ForeignKey, ManyToMany
• OneToOne relationships
• Model managers and custom managers
• Model methods and properties

• Admin customization
• Database optimization and select_related

📚 Topics Covered

• Django forms and form fields
• ModelForm for automatic form generation
• Form validation and cleaning
• Custom validators
• Django authentication system
• User model and user creation
• Login and logout views
• Password management
• User registration
• Permission and authorization

• User groups and permissions
• Custom user model

📚 Topics Covered

• Relational database concepts review
• SQLite with Python: sqlite3 module
• Connecting to databases
• Creating tables with SQL
• CRUD operations with Python
• Parameterized queries for security
• PostgreSQL with psycopg2
• MySQL with PyMySQL or mysql-connector
• SQLAlchemy ORM introduction
• Defining models with SQLAlchemy

• Session management
• Querying with SQLAlchemy

📚 Topics Covered

• NoSQL database types
• MongoDB introduction
• Installing MongoDB
• PyMongo: Python MongoDB driver
• Connecting to MongoDB
• CRUD operations in MongoDB
• Querying documents
• Aggregation pipeline
• Indexing for performance
• MongoEngine ODM

• Defining document schemas
• When to use NoSQL vs SQL

📚 Topics Covered

• Django REST Framework (DRF) introduction
• Serializers for data conversion
• API views: function-based and class-based
• ViewSets and routers
• Authentication: token, session, JWT
• Permissions and authorization
• Pagination for large datasets
• Filtering and searching
• API versioning strategies
• Testing APIs with DRF

• API documentation with drf-spectacular
• CORS configuration

📚 Topics Covered

• Advanced BeautifulSoup techniques
• Navigating HTML tree
• CSS selectors for scraping
• Scrapy framework introduction
• Creating Scrapy spiders
• Item pipelines for data processing
• Scrapy selectors and XPath
• Handling pagination
• Selenium for dynamic websites
• WebDriver automation

• Headless browsing
• Ethics, robots.txt, and rate limiting

📚 Topics Covered

• File and folder automation
• Batch file processing
• PDF manipulation with PyPDF2
• Excel automation with openpyxl
• CSV data processing
• Email automation with smtplib
• Scheduling tasks with schedule library
• System administration scripts
• Desktop automation with PyAutoGUI
• Clipboard automation

• Screenshot and image manipulation
• Building CLI tools with Click/argparse

📚 Topics Covered

• Preparing Django/Flask for production
• Environment variables and secrets
• Debug mode and security settings
• Static files in production
• Database configuration for production
• Gunicorn and uWSGI web servers
• Nginx as reverse proxy
• Deployment to Heroku
• Deployment to PythonAnywhere
• Deployment to DigitalOcean/AWS EC2

• Docker basics for Python applications
• Creating Dockerfile for Python apps

📚 Topics Covered

• Common web vulnerabilities (OWASP Top 10)
• SQL injection prevention
• Cross-Site Scripting (XSS) prevention
• CSRF protection in Django/Flask
• Secure password hashing
• JWT token security
• HTTPS and SSL certificates
• Input validation and sanitization
• Rate limiting APIs
• Security headers

• Dependency vulnerability scanning
• Environment security best practices

📚 Topics Covered

• Python code profiling
• cProfile and line_profiler
• Memory profiling
• Database query optimization
• Django Debug Toolbar
• N+1 query problem and solutions
• Caching strategies
• Django caching framework
• Redis for caching
• Celery for background tasks

• Asynchronous task queues
• Load testing with Locust

📚 Topics Covered

• WebSocket protocol basics
• Django Channels for WebSockets
• Channels layers and Redis
• Real-time chat implementation
• Broadcasting messages
• Flask-SocketIO for real-time
• Async consumers in Django
• Real-time notifications
• Live updates and dashboards
• Scaling WebSocket applications

📚 Topics Covered

• Full-stack web application
• Database design and optimization
• REST API development
• Authentication and authorization
• Real-time features
• Production deployment
• Security implementation
• Performance optimization

📚 Topics Covered

• Introduction to data science
• NumPy installation and basics
• NumPy arrays vs Python lists
• Array creation methods
• Array indexing and slicing
• Array reshaping and transposing
• Mathematical operations on arrays
• Broadcasting in NumPy
• Statistical functions
• Linear algebra with NumPy

• Random number generation
• Saving and loading NumPy arrays

📚 Topics Covered

• Pandas introduction and installation
• Series and DataFrame objects
• Reading data: CSV, Excel, JSON
• Data exploration: head, tail, info, describe
• Indexing and selecting data
• Filtering and boolean indexing
• Sorting and ranking
• Handling missing data
• Data aggregation and groupby
• Merging and joining DataFrames

• Pivot tables
• Data visualization basics with Pandas

📚 Topics Covered

• Matplotlib introduction
• Line plots and customization
• Scatter plots and bar charts
• Histograms and pie charts
• Subplots and figure layout
• Customizing plots: colors, labels, legends
• Seaborn for statistical visualization
• Distribution plots
• Categorical plots
• Heatmaps and correlation matrices

• Pair plots
• Styling and themes

📚 Topics Covered

• Introduction to machine learning
• Types: supervised, unsupervised, reinforcement
• Scikit-learn library introduction
• Train-test split
• Linear regression
• Model evaluation metrics
• Classification: Logistic Regression
• K-Nearest Neighbors (KNN)
• Decision Trees
• Random Forests

• Feature scaling and normalization
• Cross-validation

📚 Topics Covered

• Support Vector Machines (SVM)
• Clustering: K-Means
• Hierarchical clustering
• Dimensionality reduction: PCA
• Model selection and hyperparameter tuning
• Grid search and random search
• Ensemble methods
• Handling imbalanced datasets
• Feature engineering
• Model deployment basics

• Saving models with pickle/joblib
• ML pipeline creation

📚 Topics Covered

• Introduction to neural networks
• Deep learning frameworks overview
• TensorFlow and Keras installation
• Building neural networks with Keras
• Activation functions
• Loss functions and optimizers
• Training neural networks
• Validation and overfitting
• Convolutional Neural Networks (CNN) basics
• Image classification with CNN

• Transfer learning
• Model saving and loading

📚 Topics Covered

• NLP introduction and applications
• Text preprocessing
• Tokenization and stemming
• Lemmatization
• Bag of Words and TF-IDF
• Word embeddings: Word2Vec
• Sentiment analysis
• Text classification
• Named Entity Recognition (NER)
• NLTK library

• spaCy library
• Transformers and BERT basics

📚 Topics Covered

• Cloud computing introduction
• AWS account setup
• AWS Lambda for serverless Python
• Boto3: AWS SDK for Python
• S3 for file storage
• EC2 for Python applications
• RDS for databases
• API Gateway with Lambda
• CloudWatch for monitoring
• Deploying ML models to cloud

• Google Cloud Platform basics
• Azure for Python developers

📚 Topics Covered

• Docker for Python applications
• Creating Dockerfile
• Docker Compose for multi-container apps
• GitHub Actions for Python
• Automated testing in CI/CD
• Code quality tools: pylint, black, flake8
• Pre-commit hooks
• Continuous deployment strategies
• Monitoring and logging
• Infrastructure as Code with Python

• Kubernetes basics for Python apps
• Production best practices

📚 Topics Covered

• Game development with Pygame
• GUI applications with Tkinter
• PyQt for desktop apps
• Computer vision with OpenCV
• Blockchain basics with Python
• Cryptocurrency APIs
• IoT with Python and Raspberry Pi
• Robotics basics
• Cybersecurity with Python
• Penetration testing tools

• Ethical hacking basics
• Choosing specialization path

📚 Topics Covered

• Finding beginner-friendly projects
• Understanding project structure
• Reading contribution guidelines
• Forking and cloning repositories
• Creating branches for features
• Making meaningful contributions
• Creating pull requests
• Code review process
• Building open source portfolio
• Starting your own open source project

📚 Topics Covered

• PEP 8 style guide deep dive
• Code organization and structure
• Design patterns in Python
• Singleton, Factory, Observer patterns
• SOLID principles
• Clean code principles
• Refactoring techniques
• Code smells and fixes
• Documentation best practices
• Type hints and mypy

• Code review guidelines
• Technical debt management

📚 Topics Covered

• Profiling Python code
• Memory profiling
• Time complexity optimization
• Space complexity optimization
• Cython for performance
• NumPy optimization techniques
• Database query optimization
• Caching strategies
• Parallel processing
• Async programming optimization

• Code optimization techniques
• Benchmarking

📚 Topics Covered

• Python coding interview patterns
• Data structures interview questions
• Algorithm interview questions
• System design for Python developers
• Behavioral interview preparation
• Python-specific questions
• Problem-solving strategies
• LeetCode and HackerRank practice
• Mock interview techniques
• Salary negotiation

• Job search strategies
• Building professional network

📚 Topics Covered

• Project ideation and planning
• Choosing tech stack
• System architecture design
• Database schema design
• API design
• Frontend-backend integration
• Development workflow
• Agile methodology

📚 Topics Covered

• Testing and quality assurance
• Performance optimization
• Security implementation
• Documentation writing
• Deployment to production
• Monitoring and logging
• User feedback integration
• Project presentation

📚 Topics Covered

• Professional portfolio website
• Resume optimization for Python roles
• LinkedIn profile enhancement
• GitHub profile showcase
• Writing technical blog posts
• Creating YouTube tutorials (optional)
• Networking strategies
• Freelancing platforms setup
• Job application strategies
• Continuous learning plan

• Python community involvement
• Mentoring others