python-training

Python training for business analysts and traders. This is designed to be an introduction to numerical computing and data visualization in Python. It is not designed to be a complete course in Computer Science or programming, but rather a motivational demonstration of how relatively complex topics can be accessible even to those without formal progamming backgrounds.

Creator: J.P. Morgan
Stars: ⭐️ 2.9k
Forked by: 709
GitHub repo: https://github.com/jpmorganchase/python-training

#python #training
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15 Best Project Ideas for Python : 🐍

🚀 Beginner Level:
1. Simple Calculator
2. To-Do List
3. Number Guessing Game
4. Dice Rolling Simulator
5. Word Counter

🌟 Intermediate Level:
6. Weather App
7. URL Shortener
8. Movie Recommender System
9. Chatbot
10. Image Caption Generator

🌌 Advanced Level:
11. Stock Market Analysis
12. Autonomous Drone Control
13. Music Genre Classification
14. Real-Time Object Detection
15. Natural Language Processing (NLP) Sentiment Analysis

Object in Python 🚘

Just look around, everything you see can be treated as an object.

For instance a Car, Dog, your Laptop are all objects.

An Object can be defined using 2 things:
- Properties: that describe an object
- Behaviour: the functions that an object can perform

...⬇️

For example, a Car is an object that has properties such as color & model, and behaviours such as accelerating, braking & turning.

But, how do we create these objects❓🤔

Class in Python 🦾

Let's define a class Car & create it's Object ☝️

A class is like a blueprint for creating objects.

It defines a set of properties & functions (methods) that will be common to all objects created from the class.

Inheritance in Python 🪢

check this out --------------------☝️

Let's say we want to create an Electric car & don't want to define all the properties and methods of the basic Car class.

Inheritance helps us to inherit all the properties/methods of parent class & add new ones or override existing.

Encapsulation in Python 🚡

(Here's an example) ---------- ☝️

Encapsulation helps to bundle data and methods inside a class, restricting direct access to certain attributes and methods.

We use private attributes/methods (with a _ or __ prefix) to achieve this.

Abstraction in Python 🎭

Here's an example -------------------☝️

This concept focuses on exposing only essential information to the outside world while hiding implementation details.

We use abstract classes and methods to define a common interface.

At this point if Abstraction and Encapsulation confuse you! 👇

Abstraction conceals the implementation details, but doesn't hide the data itself.

On the other hand, Encapsulation hides the data and restricts unwanted use from external sources.

Polymorphism in python 🕳

This allows us to use a single interface for different data types or classes. We can achieve this through method overriding, where a subclass provides a different implementation for a method defined in its parent class.

Let's understand with example -☝️