1. Python Programming: What You Need to Know Python is a powerful, high-level programming language created by Guido van Rossum in 1991. It is used for a wide range of applications, from web development to data science. Python is easy to learn, simple to use, and can be used for both large and small projects. In this article, we'll cover the basics of Python programming and give you the tools you need to get started.

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FiveCrop in PyTorch - DEV Community

Buy Me a Coffee☕ *Memos: My post explains CenterCrop(). My post explains RandomCrop() about size... Tagged with python, pytorch, fivecrop, v2.

DEV Community

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CenterCrop in PyTorch - DEV Community

Buy Me a Coffee☕ *Memos: My post explains FiveCrop(). My post explains RandomCrop() about size... Tagged with python, pytorch, centercrop, v2.

DEV Community

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Resize in PyTorch - DEV Community

Buy Me a Coffee☕ *Memos: My post explains RandomResizedCrop() about size argument. My post... Tagged with python, pytorch, resize, v2.

Machine Learning Mastery

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Building a RAG Pipeline with llama.cpp in Python - MachineLearningMastery.com

Llama.cpp is a lighter and portable approach to build inference pipelines on LLMs. Discover in this article how to get it running.

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What are Pandas and NumPy? - Dataconomy

Pandas and NumPy are the powerhouses of data manipulation and numerical processing in Python. Their combined abilities enable data scientists

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Learn Python, SQL, and AI – Spring 2025 Workshop Lineup

UCSF offers Python, Artificial Intelligence, and Data Science training in Spring 2025. Join this data science training series for researchers and students.

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Turn Your Old Android Phone into a USB MP3 Player with Python | by Py-Core Python Programming | Apr, 2025 | Medium

Do you have an old Android phone gathering dust in a drawer? Instead of recycling it or letting it sit unused, consider making it into a dedicated MP3 player for your car. Many car stereos support…

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Comparing requests, aiohttp, and httpx: Which HTTP client should you use? - DEV Community

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How to Fully Automate Text Data Cleaning with Python in 5 Steps - KDnuggets

Automating text data cleaning in Python makes it easy to fix messy data by removing errors and organizing it. In just 5 simple steps, you can quickly turn raw text into clean, ready-to-analyze data.

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10 Must-Know Python Libraries for Machine Learning in 2025 - MachineLearningMastery.com

In this article, we’ll look at 10 Python libraries you should know if you’re working with machine learning.

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FiveCrop in PyTorch - DEV Community

CenterCrop in PyTorch - DEV Community

Resize in PyTorch - DEV Community

Building a RAG Pipeline with llama.cpp in Python - MachineLearningMastery.com

What are Pandas and NumPy? - Dataconomy

Learn Python, SQL, and AI – Spring 2025 Workshop Lineup

Turn Your Old Android Phone into a USB MP3 Player with Python | by Py-Core Python Programming | Apr, 2025 | Medium

Comparing requests, aiohttp, and httpx: Which HTTP client should you use? - DEV Community

How to Fully Automate Text Data Cleaning with Python in 5 Steps - KDnuggets

10 Must-Know Python Libraries for Machine Learning in 2025 - MachineLearningMastery.com

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