Hands On Python Data Science - Data Science Bootcamp

Master Python for Data Science with Real-World Applications: Dive Deep into Data Analysis, Machine Learning

🏷 Category: Development
🌍 Language: English
👥 Students: 31,524 students
⭐️ Rating: 4.3/5.0
💰 Price: $14.99 ⟹ FREE
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💎 By: https://t.me/Udemy26
#Programming #Coding #Development #Tech #Python #DataScience

📱 270 tools for Python developers

The repository contains:
🫡 Linters and formatters;
🫡 Type checkers;
🫡 Testing tools;
🫡 Debugging and profiling tools;
🫡 Package managers;
🫡 Logging tools;
🫡 Security tools;
🫡 Documentation and package building tools.

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⛓️ Link to the repository

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Python Lists: A Quick Reference 🐍

*   Definition: Lists are ordered, mutable collections that can contain various data types and duplicates.
*   Creating Lists: Creating empty, numerical, mixed, nested lists, and lists with duplicates.
*   Accessing List Elements: Accessing elements using positive and negative indexing, as well as slicing with

start:end:step

.
*   Common Operations: Adding, inserting, concatenating, deleting, clearing, searching, sorting, and reversing lists.
*   List Methods:

append()

,

insert()

,

extend()

,

remove()

,

pop()

,

clear()

,

index()

,

count()

,

sort()

, and

reverse()

.
*   List Comprehension: Quickly creating lists using expressions and conditions.
*   List vs. Tuple: Differences between mutable lists and immutable tuples.
*   Important Points: Specifics of indexing, slicing, data types, and working with lists.

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