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Python Masterclass

Master Python from basics to advanced. Learn object-oriented programming, data science fundamentals, web development with Flask, and automation. Includes real-world projects and best practices.

12
Modules
80+
Hours
300+
Examples
12
Assignments
Python OOP Data Science Web Dev Automation Advanced
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Course Outline

1Getting Started with Python

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1.1 Why Python?
History and applications of Python
Setting up development environment
Your first Python program
1.2 Installation & IDEs
Installing Python 3.x
Popular IDEs: VS Code, PyCharm, Jupyter
Running Python scripts
1.3 Basic Syntax
Comments and indentation
Variables and naming conventions
Print function and basic output
Assignment: Hello Python World

2Data Types & Variables

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2.1 Data Types
Integers, floats, strings, booleans
Type checking and conversion
None and null values
2.2 Operators
Arithmetic operators
Comparison and logical operators
Membership and identity operators
2.3 String Manipulation
String operations and methods
String formatting and f-strings
Regular expressions basics
Assignment: Data Type Challenges

3Control Flow

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3.1 Conditionals
If, elif, else statements
Ternary operators
Nested conditionals
3.2 Loops
For and while loops
Loop control: break and continue
Enumerate and range functions
3.3 Advanced Control Flow
List comprehensions
Dictionary and set comprehensions
Generator expressions
Assignment: Control Flow Exercises

4Data Structures

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4.1 Lists & Tuples
Creating and modifying lists
List methods and operations
Tuple immutability and use cases
4.2 Dictionaries & Sets
Dictionary creation and access
Dictionary methods
Sets and set operations
4.3 Slicing & Indexing
Positive and negative indexing
Slicing operations
Multi-dimensional data structures
4.4 Unpacking & Iteration
Unpacking sequences
Iterators and iterables
Zip and map functions
Assignment: Data Structure Mastery

5Functions & Scope

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5.1 Defining Functions
Function definition and calls
Parameters and arguments
Return values
Default and keyword arguments
5.2 Advanced Functions
*args and **kwargs
Lambda functions
Decorators
Closures
5.3 Scope & Namespaces
Local, global, and nonlocal scopes
LEGB rule
Namespace and scope debugging
Assignment: Function Programming

6Object-Oriented Programming

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6.1 Classes & Objects
Class definition and instantiation
Instance and class variables
Methods and self
Constructors and destructors
6.2 Inheritance
Single and multiple inheritance
Method resolution order (MRO)
super() function
6.3 Polymorphism & Magic Methods
Method overriding
Dunder methods (__init__, __str__, etc.)
Operator overloading
6.4 Encapsulation & Properties
Private and protected members
Properties and descriptors
Abstract base classes
Assignment: OOP Design Project

7Error Handling & Debugging

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7.1 Exception Handling
Try, except, else, finally
Multiple exception handling
Raising exceptions
Custom exceptions
7.2 Debugging & Logging
Print debugging
Python debugger (pdb)
Logging module
7.3 Testing
Unit testing with unittest
Pytest framework
Test-driven development (TDD)
Assignment: Testing & Debugging

8File Handling & I/O

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8.1 File Operations
Opening and closing files
Reading and writing files
File modes and positions
Context managers (with statement)
8.2 Path Handling
os and pathlib modules
Path operations
Directory navigation
8.3 CSV & JSON
CSV file handling
JSON parsing and serialization
Working with data formats
Assignment: File Processing

9Libraries & Modules

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9.1 Standard Library
datetime and time modules
math and random modules
collections and itertools
9.2 Creating Packages
Modules and packages
__init__.py and imports
pip and virtual environments
9.3 Third-Party Libraries
NumPy basics
Pandas fundamentals
Requests library
Assignment: Module Integration

10Web Development with Flask

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10.1 Flask Basics
Creating Flask applications
Routes and views
Request and response handling
10.2 Templates & Static Files
Jinja2 templating
Template inheritance
Static files (CSS, JS, images)
10.3 Forms & Databases
Flask-WTF for forms
SQLAlchemy ORM
Database relationships
Assignment: Flask Blog Application

11Data Science Fundamentals

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11.1 NumPy
NumPy arrays
Array operations and slicing
Mathematical functions
11.2 Pandas
DataFrames and Series
Data cleaning and manipulation
Groupby and aggregation
11.3 Visualization
Matplotlib basics
Seaborn for statistical graphics
Creating interactive plots
Assignment: Data Analysis Project

12Projects & Advanced Topics

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Project 1: Todo CLI Application
Command-line interface
File persistence
Error handling
Project 2: Web Scraper
BeautifulSoup and requests
Data extraction
CSV export
Project 3: Flask Web Application
User authentication
Database operations
Deployment
Final Capstone Project
What You'll Learn
  • Master Python fundamentals: syntax, data types, and control flow
  • Object-oriented programming and functional programming paradigms
  • Work with files, data structures, and built-in modules
  • Build web applications with Flask framework
  • Master data science with NumPy, Pandas, and visualization
  • Complete 4 real-world industry projects
Quick Navigation
1. Getting Started 2. Data Types & Variables 3. Control Flow 4. Data Structures 5. Functions & Scope 6. Object-Oriented Programming 7. Error Handling & Debugging 8. File Handling & I/O 9. Libraries & Modules 10. Flask Web Development 11. Data Science 12. Projects & Final
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