📣 It’s that time again: Free Access Week is around the corner!

Get DataCamp Premium for $0 and explore 500+ data and AI courses between Nov 4–10.

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How Python work in our computer clearly explained

https://t.me/DataScience4 ⭐️

When invoking a Python script, you can specify various options/flags for better flexibility.

Here are 9 of the most commonly used options.

🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐜: Run a single Python command.
🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -i: Run the script as usual and enter the interactive model instead of exiting.
🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐎: Ignore assert statements (This is alphabet ‘O’).
🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐎𝐎: Ignore assert statements and discard docstrings.
🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐖: Ignore all warnings.
🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐦: Run a module as a script.
🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐯: Enter verbose mode.
🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐱: Skip the first line.
🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐄: ignore all Python environment variables.

https://t.me/DataScience4 🧉

Convert PDF to docx using Python

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses

http://t.me/codeprogrammer ⭐️

20 Python Libraries You Aren't Using But Should

📕 Book

https://t.me/DataScience4 ✅

👩‍💻 TheAlgorithms/Python is a collection of algorithms written in Python. It is an open source project where developers from all over the world contribute with various algorithms used in computer science, mathematics, and data science.

🔍 The repository includes hundreds of algorithm implementations in various categories, such as:

🌟 Sorting and searching (e.g. quicksort, binary search).
🌟 Data structures (e.g. trees, graphs, queues).
🌟 Graph algorithms (e.g. depth-first search, breadth-first search).
🌟 Cryptography (e.g. encryption, hashing).
🌟 Machine learning algorithms and many more!

💡 The goal of the project is to offer a learning resource where developers can learn and understand how different algorithms work. Each algorithm is accompanied by code examples, and many of them have detailed explanations.

🔐 License: MIT

👍 Github

https://t.me/DataScience4 ✅

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👩‍💻 Pythonic Data Structures and Algorithms: algorithms

🖥 Github

https://t.me/DataScience4 ✅

Screen recorder using Python

https://t.me/DataScience4 ✅

📕 Python Basics Made Simple!

📷 Course: AI Python for Beginners

👨‍💻 Instructor: Andrew Ng

In the #AIPythonforBeginners course series you'll learn how to identify strings, integers, and floats with the type() function, and build a solid Python foundation for your AI journey.

Enroll Free: https://learn.deeplearning.ai/courses/ai-python-for-beginners

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http://t.me/codeprogrammer ⭐️

Count Files and Folders using Python 🖥

https://t.me/DataScience4 ✅