Welcome to the world of Python, where coding meets simplicity, and possibilities are limitless. Whether you’re a programming novice or looking to expand your language repertoire, our ultimate guide to Python is your gateway to a versatile and dynamic programming experience. This python guide starts at zero and takes you to an expert job ready level.
Why Python?
Before we dive into the nitty-gritty details, let’s address the burning question: Why Python? Well, for starters, Python is renowned for its readability and clean syntax. It’s a language designed with human understanding in mind, making it the perfect choice for beginners. But don’t be fooled by its simplicity—Python is a powerhouse, used in web development, data science, artificial intelligence, automation, and more.
What to Expect: The Roadmap
Our guide is designed to be your companion on this exciting journey. Here’s a sneak peek into what you can expect:
Python Fundamentals:
We’ll start with the basics, ensuring you have a solid foundation. Variables, data types, and control structures are just the beginning.
Functions and Modules:
Dive deeper into the world of functions and learn how to organize your code using modules. Code organization is a key skill that separates the novice from the proficient coder.
Object-Oriented Programming (OOP):
Unravel the concepts of OOP and see how Python’s object-oriented paradigm can help you build scalable and maintainable code.
Advanced Topics:
In this, we’ll cover more advanced topics like decorators, generators, and context managers. These are the tools that will take your Python skills to the next level.
Web Development with Flask:
Ever dreamt of creating your own web applications? We’ll guide you through building web apps with Flask, a lightweight and powerful web framework. After this you’ll be able to spin up your own fully functional web applications.
Automation with Python:
Discover the art of automation. From simple scripts to automate everyday tasks to more complex workflows, Python is your go-to language for making life easier.
Project Showcase:
Apply your newfound knowledge by working on real-world projects. This hands-on experience is invaluable and will solidify your skills.
Who Can Benefit?
This guide is crafted with everyone in mind—whether you’re a student exploring the world of programming, a professional aiming to add Python to your skill set, or an enthusiast curious about the language’s capabilities.
Get ready to unlock the potential of Python. This isn’t just a guide; it’s a journey into the heart of one of the most beloved programming languages.
Table of Contents:
Here are the detailed topics we want to cover. The ones covered are linked. The ones not linked are being worked on :
Beginner
- Introduction to Python
- Python Installation and VS code setup
- Comments in Python
- Escape Sequences in Python
- Syntax Errors in Python
- Print Statements in Python
- Variables and Data-Types in Python
- Typecasting in Python
- Taking User Input in Python
- F-Strings in Python
- Strings in Python
- Lists in Python
- Tuple/Sets in Python
- Dictionaries in Python
- If, else, elif conditionals in Python
- For Loops in Python
- While Loops in python
- Break and Continue statements in python
- Operators in Python
- Functions and Docstrings
- Scope, Global Variables and Global Keyword
- Error and Exception Handling in Python
Intermediate
- Recursion in Python
- File IO Python — read(), readlines() , seek(), tell()
- Virtual Environment in Python
- Modules and pip
- Anonymous/Lambda Functions In Python
- Args and kwargs in python
- Map, Filter and Reduce in Python
Advanced
- Introduction to OOPs in Python
- Classes and Objects in Python
- Constructors in Python
- Decorators in Python
- Getters and Setters in Python
- Inheritance in Python
- Access Modifiers in Python
- Static Methods in Python
- Instance Variables vs Class Variables in Python
- Class Methods in Python
- Class Methods as alternative constructors in Python
- dir, __dict__ and help method in Python
- super keyword in Python
- Magic/Dunder Methods in Python
- Method Overriding in Python
- Operator Overloading in Python
- Single Inheritance in Python
- Multiple Inheritance in Python
- Multilevel Inheritance in Python
- Hybrid and Hierarchical Inheritance in Python
- Generators in Python
- Function Caching in Python
- Regular Expressions in Python
- AsyncIO in Python
- Multithreading in Python
- MultiProcessing in Python
Web Development with Flask
Introduction to Flask:
- Overview of Flask
- Setting up a Flask project
- Understanding the Flask directory structure
Routing and Views:
- Creating routes for different pages
- Rendering views and templates
Templates and Jinja2:
- Introduction to Jinja2 templating engine
- Creating dynamic templates
Handling Forms:
- Creating HTML forms
- Processing form data in Flask
- Form validation
Working with Databases:
- Integration of Flask with databases (SQLite, SQLAlchemy)
- Performing CRUD operations
User Authentication:
- Implementing user registration and login
- Securing routes with user authentication
Sessions and Cookies:
- Managing user sessions
- Using cookies for persistent data
Middleware and Request Hooks:
- Understanding middleware in Flask
- Using request hooks for pre and post-processing
RESTful APIs with Flask:
- Building RESTful endpoints
- Handling HTTP methods (GET, POST, PUT, DELETE)
File Uploads:
- Allowing users to upload files
- Handling file uploads in Flask
Error Handling and Logging:
- Custom error pages
- Logging in Flask applications
Blueprints:
- Organizing large Flask applications with blueprints
- Modularizing routes and views
Testing Flask Applications:
- Writing unit tests for Flask applications
- Using testing frameworks
Deploying Flask Applications:
- Deployment options (e.g., Heroku, AWS, Docker)
- Configuring production settings
Security Best Practices:
- Protecting against common web vulnerabilities
- Implementing secure coding practices
Websockets with Flask-SocketIO:
- Introduction to websockets
- Real-time communication with Flask-SocketIO
Web Design and Styling:
- Basic front-end development with HTML, CSS
- Integrating front-end frameworks (e.g., Bootstrap)
Project Development:
- Guided project development to apply learned concepts
- Encouraging creativity and customization
Automation with Python:
Introduction to Automation:
Understanding the need for automation
Benefits and applications of automation
Working with Files and Directories:
Reading and writing files
Navigating and manipulating directories
Automating Repetitive Tasks:
Creating scripts for repetitive tasks
Automating data processing and cleaning
Web Scraping:
Introduction to web scraping
Using libraries like BeautifulSoup and requests
Working with APIs:
Retrieving data from APIs
Sending requests and handling responses
Automating Emails:
Sending emails with Python
Reading and organizing emails
Automating GUI Interactions:
Interacting with graphical user interfaces
Automation using tools like PyAutoGUI
Scheduled Tasks and Cron Jobs:
Scheduling automated tasks
Using cron jobs for regular execution
Database Automation:
Connecting to databases with Python
Automating database queries and updates
Network Automation:
Automating network-related tasks
Working with networking libraries in Python
Working with APIs and Webhooks:
Building and consuming APIs
Implementing webhooks for real-time updates
Automating Cloud Services:
Interacting with cloud services (e.g., AWS, Azure)
Automating cloud infrastructure tasks
Version Control Automation:
Automating version control tasks with Git
Integrating Git into automation workflows
Error Handling and Logging:
Implementing error handling in automation scripts
Logging for debugging and monitoring
Testing Automation:
Introduction to automated testing
Writing automated tests with frameworks like pytest
Automation Best Practices:
Writing modular and reusable code
Documentation and code organization
Security in Automation:
Best practices for secure automation
Handling sensitive information
Project Automation:
Applying automation to a real-world project
Building an end-to-end automated solution
Let’s code!