From Zero to with Python

Python Environment Setup

• Setting up Python on Windows
• Mac and Linux
• Installing the latest Python version and configuring environment variables

IDE Configuration & Development Tools

• Installing and configuring VS Code
• PyCharm
• Setting up extensions
• linters and debuggers for Python development

Python Syntax & Program Structure

• Understanding indentation
• comments
• statements and the overall structure of a Python program

Writing Your First Python Program

• Writing
• running and debugging your first Hello World program
• Understanding the Python execution flow

Variables, Data Types & Operators

• Working with int
• float
• string
• bool
• list
• tuple
• set and dict
• Type casting and arithmetic
• comparison and logical operators

Input & Output Operations

• Using input() and print() functions
• Formatting output with f-strings and handling user input

Conditional Statements

• Writing if
• elif and else conditions
• Nested conditions and short-hand ternary expressions

Looping & Iterative Programming

• Using for and while loops
• Loop control with break
• continue and pass
• Nested loops and iterators

User-Defined Functions

• Defining and calling functions
• Working with parameters
• default arguments and return values

Lambda Functions

• Writing anonymous functions using lambda
• Using lambda with map()
• filter() and sorted()

Modules & Packages

• Creating and importing modules
• Understanding __init__
• py and organising code into packages

Code Reusability Techniques

• DRY principle
• writing reusable functions and modules
• Using utility files across projects

Strings & String Manipulation

• String methods
• slicing
• formatting and regular expressions
• Working with raw strings and multiline strings

Lists, Tuples & Sets

• Creating and manipulating lists
• tuples and sets
• List methods
• slicing
• unpacking and set operations

Dictionaries & Nested Structures

• Creating and accessing dictionaries
• Nested dicts and lists
• dict methods and iteration patterns

Data Handling Techniques

• Sorting
• filtering and transforming data structures
• Copying
• merging and converting between types

Classes & Objects

• Defining classes
• creating objects and accessing attributes and methods
• Understanding self and instance variables

Constructors & Methods

• Using __init__ constructor
• Instance methods
• class methods and static methods

Inheritance & Polymorphism

• Single and multiple inheritance
• method overriding and super()
• Polymorphism with duck typing

Encapsulation & Abstraction

• Using private and protected members
• Abstract classes with ABC module and property decorators

File Operations

• Reading and writing text files using open()
• File modes
• context managers and working with file paths

Working with CSV & JSON

• Parsing and writing CSV files with the csv module
• Reading and writing JSON data with the json module

Exception Handling

• Using try
• except
• else and finally
• Raising custom exceptions and handling multiple error types

Advanced Python Concepts

• Decorators
• generators
• iterators
• context managers and metaclasses

Code Optimization

• Profiling code with cProfile
• Writing efficient loops
• using built-ins and avoiding common bottlenecks

Best Development Practices

• PEP8 style guide
• writing clean code
• docstrings
• type hints and code reviews

Real-Time Project Development

• Building end-to-end Python projects
• Project structure
• version control with Git and deployment basics

Async Functions

• Understanding async/await
• event loops and asyncio
• Writing non-blocking code for I/O operations

Data Pre-Processing

• Cleaning and transforming raw data using Python
• Handling missing values
• normalization and feature extraction

Debugging Techniques

• Using pdb
• VS Code debugger and logging
• Reading tracebacks and fixing common Python errors

HTTP APIs

• Making HTTP requests using the requests library
• Working with REST APIs
• headers
• params and JSON responses

FastAPIs

• Building REST APIs with FastAPI
• Defining routes
• request models with Pydantic
• and running with Uvicorn