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📝 Description: MapLibre GL JS - Interactive vector tile maps in the browser

🔗 Repository URL: https://github.com/maplibre/maplibre-gl-js

🌐 Website: https://maplibre.org/maplibre-gl-js/docs/

📖 Readme: https://github.com/maplibre/maplibre-gl-js#readme

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💻 Programming Languages: TypeScript - HTML - GLSL

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📝 Description: The open source coding agent.

🔗 Repository URL: https://github.com/anomalyco/opencode

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📖 Readme: https://github.com/anomalyco/opencode#readme

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📝 Description: Open-source media server with a web interface and desktop app for anime and manga.

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🌐 Website: https://seanime.app

📖 Readme: https://github.com/5rahim/seanime#readme

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📝 Description: The Python programming language

🔗 Repository URL: https://github.com/python/cpython

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📖 Readme: https://github.com/python/cpython#readme

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Great bot, try it for yourself. Search for anything within Telegram

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📖 Readme: https://github.com/3b1b/manim#readme

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📝 Description: No description available

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📝 Description: A collaborative list of public APIs for developers

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A great app for building and programming desktop, Android, and Telegram bots using only prompts

Just send what you want and it will design everything for you and the possibility to make money from your app 👍

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Python Basics for Data Science: Part-1

Variables  Data Types

In Python, variables are used to store data, and data types define what kind of data is stored. This is the first and most essential building block of your data science journey.

1️⃣ What is a Variable? 
A variable is like a label for data stored in memory. You can assign any value to a variable and reuse it throughout your code.

Syntax: 

x = 10  
name = "Riya"  
is_active = True

2️⃣ Common Data Types in Python

• int – Integers (whole numbers) 

age = 25

• float – Decimal numbers 

height = 5.8

• str – Text/String 

city = "Mumbai"

• bool – Boolean (True or False) 

is_student = False

• list – A collection of items 

fruits = ["apple", "banana", "mango"]

• tuple – Ordered, immutable collection 

coordinates = (10.5, 20.3)

• dict – Key-value pairs 

student = {"name": "Riya", "score": 90}

3️⃣ Type Checking 
You can check the type of any variable using type() 

print(type(age))       # <class 'int'>  
print(type(city))      # <class 'str'>

4️⃣ Type Conversion 
Change data from one type to another: 

num = "100"
converted = int(num)  
print(type(converted))  # <class 'int'>

5️⃣ Why This Matters in Data Science 
Data comes in various types. Understanding and managing types is critical for: 
• Cleaning data 
• Performing calculations 
• Avoiding errors in analysis

✅ Practice Task for You: 
• Create 5 variables with different data types 
• Use type() to print each one 
• Convert a string to an integer and do basic math