Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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SQL Basics.pdf
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💻 Collection of cheat sheets on SQL

I've gathered for you short and understandable cheat sheets on the main topics:
▶️ Basics of the SQL language;
▶️ JOINs with clear examples;
▶️ Window functions;
▶️ SQL for data analysis.

An excellent set to refresh your knowledge before a job interview or quickly recall the syntax.

tags: #sql #useful

https://t.me/DataAnalyticsX
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When have you ever needed to add a mathematical description for your function in Python, but found that it takes too much time?

Non-programmers can't easily read Python's logic. However, manually converting it to LaTeX is slow and quickly becomes outdated as the code changes.

latexify_py solves this problem with a single decorator, generating LaTeX directly from your function, so that the mathematics remains readable and always synchronized with the code.

Main features:
• Three decorators for different outputs: expressions, full equations, or pseudocode
• Displays the rendered LaTeX directly in Jupyter cells
• Functions continue to work normally when called

In addition, latexify_py is open source. Install it using pip install latexify-py

An article about 3 tools that convert Python code to LaTeX: https://bit.ly/3Pw89yP
Run this code: https://bit.ly/4bW2ycE

https://t.me/CodeProgrammer
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