Python API Tutorial: Consuming Public Data

Data Structures in Python get easy when you can simply see the structure of your data using 𝗺𝗲𝗺𝗼𝗿𝘆_𝗴𝗿𝗮𝗽𝗵. A Hash_Set example: https://lnkd.in/e29DkFET 𝗺𝗲𝗺𝗼𝗿𝘆_𝗴𝗿𝗮𝗽𝗵: https://lnkd.in/e_eGvQJJ More examples: https://lnkd.in/eQSdJdaW

Free Python code from the book: Carry out complex financial calculations practiced in the industry of finance by using next-generation methodologies. All with Python: https://lnkd.in/e_WQvAXj

When projects grow, finding the right file can become a challenge. This guide explains how to use the Python glob module to locate files efficiently with pattern matching. https://lnkd.in/gRigSqN5

In this tutorial, we will show how to use Python in Excel and when and how it’s useful. Instead of switching to other tools like Jupyter or VS Code, you can use Python directly in Excel. https://lnkd.in/e_QdRFzk

Chronological isochrone maps focus on distance rather than time, created using Python and SQL, and visualized in Jupyter Notebooks for testing with various locations #isochrones https://lnkd.in/d9vDNUy2

Day 4 – Python Functions Key point: How to create & use functions Mini snippet: Python def greet(name): return f"Hello, {name}!" print(greet("Bala"))

Need to batch optimize a library of 3D assets? Simplygon's Python API lets you process entire folders of models to reduce triangle count while maintaining visual fidelity for real‑time use. 🌟 Here’s a tutorial: https://lnkd.in/gRMpRNf4 #gamedevelopment

Welcome to Day 1 of your 30-Day Python Challenge! 🚀 Variables and Data Types. Day 1: The "Labeled Box" Concept Think of a Variable as a labeled box. You put a piece of information inside the box so you can find it and use it later. In Python, you don't need to tell the computer what kind of data you're storing (like "this is a number"); Python is smart enough to figure it out on its own. #DataAnalytics #CareerAdvice #InterviewTips #DataScience #JobSearch

https://lnkd.in/eHdv5dss Bazel users: In this update, I walk through how to configure Bazel for Python by automatically generating BUILD.bazel files using a Gazelle integration.

The End of GIL (Parallelism in Python) Free-threaded CPython (PEP 703) Big news in Python 3.13! You can now run Python without the Global Interpreter Lock (GIL). This means true multi-core parallel execution is finally here for CPU-bound tasks. No more performance bottlenecks! #Python313 #DataScienceGujarat #ProfessorDhimesh #CodingInGujarati #TechTrends2026