Python

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Weekly Plan and Resources

• Weekly Teaching Schedule
• Python Quizzes – Test Your Knowledge
• Python Exercises for Beginners
• Pyton Resources: Books, Websites, Tutorials

Installation & Getting Started

• Python Tools
  • Tasks: Installation of Tools
• Python - Quick Guide for Ultimate Python Beginner’s

Python Basics Notes

• Python Language Basics
• Variables
• Data Types
• Operators
• Control Flow
• Defining Functions
  • Advanced function concepts
• Data Structures and Sequences
  • Python Sorting
• Modules and Libraries
• Working with Files
• Exception Handling
• Functions and Methods
  • Built-in Functions
  • String Methods
  • List Methods
  • Dictionary Methods
  • Tuple Methods
  • Set Methods
  • File Methods
• Comprehensions (List and Dictionary)
• Generator Functions
• Decorators
• Classes and Objects
• Regular Expressions

• Python Performance and Best practices

• Data Visualization in Python
• Python Programming for Mathematics
• Python for Kids
• Python in Excel

Modules

• calendar
• random
• Streamlit

Python for Data AnaAlysis

• pandas
• Numpy
• The 5 Most Important Python Libraries You Should Know

Python for Data Visualization

• What is Matplotlib in Python? | Quick Python Tutorial | Python for Data Visualization

https://bokeh.org/

File Handling

Read CSV and XML Files

Python Regular Expressions

Python Utilities

Testing

Facebook Graph API

Projects

• Projects

Glossary

• Glossary for Data Analytics

Tips for Practicing

• Practice Coding by Hand: This will help you think through the problem deeply.
• Focus on Understanding: Don’t just memorize solutions; focus on understanding the underlying concepts.
• Explain Your Solution: Try to explain your solution to someone else, or write comments in your code as if you’re explaining it.
• Use Online Platforms: Platforms like LeetCode, HackerRank, and Codeforces are excellent for finding a wide range of problems to practice.