Python Stack Developer

Course Rate: INR 6000.00

Duration: 2 Months

About the Course:

Python syllabus covering everything from **basic to advanced** topics. This is ideal for **beginners, intermediate learners, and professionals** who want to master Python for web development, data science, automation, or AI/ML.

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## **1. Introduction to Python**
- What is Python? Why use it?
- Installing Python & Setting Up Environment
- Running Python Programs (IDLE, Command Line, Jupyter Notebook, VS Code)
- Python Syntax & Code Structure
- Writing & Executing Your First Python Program

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## **2. Python Basics**
- Variables & Data Types (int, float, string, boolean)
- Operators (Arithmetic, Logical, Comparison, Assignment, Bitwise)
- Type Conversion (Implicit & Explicit)
- Input & Output Functions (`print()`, `input()`)
- String Manipulation (`len()`, `split()`, `replace()`, f-strings)
- Comments & Docstrings

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## **3. Control Flow & Loops**
- Conditional Statements (`if`, `elif`, `else`)
- Loops (`for`, `while`)
- Loop Control Statements (`break`, `continue`, `pass`)
- Iterating through Lists, Tuples, Dictionaries

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## **4. Functions & Modules**
- Defining & Calling Functions
- Function Arguments & Return Values
- Default & Keyword Arguments
- Lambda Functions
- Importing Modules (`import`, `from-import`, built-in modules)
- Creating Your Own Modules

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## **5. Data Structures in Python**
- Lists & List Methods (`append()`, `remove()`, `pop()`, `sort()`)
- Tuples & Tuple Operations
- Sets & Set Methods (`union()`, `intersection()`, `difference()`)
- Dictionaries (Key-Value Pairs, Dictionary Methods)
- List Comprehensions

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## **6. Object-Oriented Programming (OOP) in Python**
- Classes & Objects
- Constructors (`__init__` method)
- Instance & Class Variables
- Inheritance (Single, Multiple, Multilevel)
- Polymorphism & Method Overriding
- Encapsulation & Data Hiding
- Static & Class Methods

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## **7. File Handling**
- Reading & Writing Files (`open()`, `read()`, `write()`)
- File Modes (`r`, `w`, `a`, `rb`, `wb`)
- Working with CSV & JSON Files
- Exception Handling (`try-except-finally`)
- Logging in Python (`logging` module)

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## **8. Advanced Python Concepts**
- Decorators & Generators
- Iterators & Iterables
- `zip()` & `enumerate()`
- Regular Expressions (`re` module)
- Multithreading & Multiprocessing

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## **9. Database Connectivity**
- Introduction to Databases (SQL & NoSQL)
- Connecting Python to MySQL (`mysql-connector-python`)
- CRUD Operations with MySQL
- Working with SQLite (`sqlite3` module)
- MongoDB with Python (`pymongo`)

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## **10. Web Development with Python**
### **Flask Framework**
- Introduction to Flask
- Creating a Web Server
- Routing & Templates (Jinja2)
- Handling Forms & Requests
- Connecting Flask to a Database
- REST API with Flask

### **Django Framework**
- Introduction to Django
- MVT (Model-View-Template) Architecture
- Creating Django Projects & Apps
- Django ORM & Migrations
- Django Admin Panel
- User Authentication in Django

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## **11. Web Scraping**
- What is Web Scraping?
- Using `requests` & `BeautifulSoup`
- Scraping Dynamic Websites with Selenium
- Handling API Requests (`requests`, `json`)

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## **12. Data Science & Machine Learning with Python**
### **NumPy & Pandas**
- NumPy Arrays & Operations
- Pandas DataFrames & Data Manipulation
- Data Cleaning & Preprocessing

### **Matplotlib & Seaborn**
- Data Visualization Basics
- Creating Line, Bar, Scatter, and Histogram Plots

### **Machine Learning (Basic)**
- Introduction to Machine Learning
- Scikit-Learn Library
- Supervised vs Unsupervised Learning
- Implementing Simple ML Models

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## **13. Automation & Scripting**
- Automating Tasks with Python (`os`, `shutil`, `subprocess`)
- Working with Excel & CSV (`openpyxl`, `pandas`)
- Sending Emails with Python (`smtplib`)
- Automating Browser Actions with Selenium

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## **14. APIs & RESTful Services**
- What is an API?
- Making API Calls using `requests`
- Building RESTful APIs with Flask/Django
- Authentication & Token-Based APIs (JWT, OAuth)

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## **15. DevOps & Deployment**
- Version Control with Git & GitHub
- Deploying Python Applications on Heroku & AWS
- Dockerizing Python Applications
- CI/CD Pipelines for Python Apps

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## **16. Testing & Debugging**
- Unit Testing with `unittest`
- Writing Test Cases in Python
- Debugging Tools (`pdb`, `logging`)

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## **17. Cybersecurity & Ethical Hacking (Basic)**
- Working with Hashing & Encryption (`hashlib`, `cryptography`)
- Secure Coding Practices
- SQL Injection & XSS Prevention