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Detailed Agenda

Python

Embark on a ten-day comprehensive learning journey designed to elevate your Python skills. Each day is structured to build upon the last, ensuring a cohesive and in-depth understanding of Python's vast capabilities.

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Day 1: Introduction to Python

  • Overview and Potential of Python
  • Environment Setup
  • Basic Syntax, Variables, and Data Types
  • Naming Conventions (PEP8), Operators
  • Python Data Structures, Functions, Modules, and Packages
  • Python Use Cases

Day 2: Advanced Python Concepts

  • Strings in Python
  • Inbuilt Functions & Modules
  • Lambda Functions
  • Arguments and Keyword Arguments
  • Conditional and Iterable Statements
  • Deep Dive into Data Structures (Lists, Dictionaries, Tuples, Sets)

Day 3: Python Functional Programming

  • Closures and Decorators
  • Map, Filter, and Reduce Functions
  • Sorting Techniques
  • Enums and Generators
  • Understanding __name__ Significance
  • Exception Handling and Datetime Module

Day 4: Object-Oriented Python

  • File Operations
  • Introduction to Object-Oriented Programming (OOP) in Python
  • Instances, Methods, Inheritance, and Method Resolution Order
  • Special Methods and Polymorphism
  • Project Work - Practical Implementation

Day 5: Python for Data Handling

  • Virtual Environments and Package Management
  • Working with JSON, CSV, and XML
  • Rational Databases (SQLite & MySQL)
  • NoSQL Databases (MongoDB)
  • Requests Library for HTTP Requests
  • Web Scraping using BeautifulSoup

Day 6: Graphical User Interfaces with Python

  • GUI Development in Python
  • Introduction to Tkinter
  • Tkinter Widgets and Geometry Managers
  • Canvas and Menu Widgets in Tkinter
  • Integrating Tkinter with Databases
  • Simple Project and Packaging Techniques

Day 7: Data Analytics with Python

  • Introduction to Data Analytics
  • NumPy: Operations, Data Types, Vectors, Matrices, Broadcasting, Linear Algebra
  • Understanding ndarrays
  • Saving and Loading Data with NumPy

Day 8: Data Manipulation with Pandas

  • Introduction to Pandas
  • Understanding Dataframes
  • Working with Series and Categories
  • Loading Data from Various Sources
  • Data Indexing, Selecting & Manipulation
  • Data Cleaning and Plotting with Pandas

Day 9: Data Visualization and Projects

  • Introduction to Data Visualization
  • Fundamentals of Matplotlib
  • Project: Inventory Management & Billing System
  • Project: Pizza Ordering Kiosk Application

Day 10: Deployment and Advanced Topics

  • Testing and Debugging Techniques
  • Deploying Python Applications on Cloud (AWS EC2, Lambda)
  • Dockerizing Python Applications
  • CI/CD Pipeline with Github Actions
  • Introduction to Python Frameworks: Django, Flask, FastAPI
This agenda is designed to provide you with a thorough understanding of Python, from basic concepts to advanced applications, ensuring you are well-equipped to tackle any Python-related challenge in your professional career.