Python🐍 Notebooks📒

Python concepts in Jupyter Notebook 🚀

Python is an easy to learn 📖, powerful programming language 🪄. It has efficient high-level ⚡ data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms 🌈.

These notebooks does not seek to be comprehensive and cover every dimensions. Instead, it introduces many of Python’s most noteworthy features, and will give you a good idea of the language’s flavor and style 🌟

📌 Read more : https://docs.python.org/3/

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1️⃣ Objects & Data Structures

• Strings
• Lists
• Dictionary
• Tuples
• Sets

2️⃣ Operators in Python

• Arithmetic operators
• Assignment operators
• Comparison operators
• Logical operators
• Identity operators
• Membership operators
• Bitwise operators

3️⃣ Python Statements/Control Flow

• if - elif - else
• break - continue
• loops (for - while)

4️⃣ Error Handling

• try - except
• try - except - else
• try - except - else - finally
• raise

5️⃣ Functions & Methods

• document strings (docstring)
• function with no return
• function with single/multiple return
• parameters vs arguments
• function vs methods
• *args vs **kwargs

6️⃣ Decorators

• function as objects
• function as an argument
• returning function from a function
• wrapper function - decorators

7️⃣ Functional Programming

• map()
• zip()
• filter()
• reduce()
• lambda expressions

8️⃣ OOP in Python

• Objects
• Class
• Attribute vs Method
• Encapsulation
• Abstraction
• Inheritance
• Polymorphism

9⃣ Iterables, Iterators & Generators

• Iterables
• Iterators
• Generators