#numpy résultats de recherche
A simple MCMC (heat bath) simulation of the 3D Ising model in magnetic field, equivalent to the lattice gas-liquid model at finite temperature and chemical potential. A good excuse to try using voxels in @matplotlib Made with #python #numpy #matplotlib
"I used to feel guilty in Cambridge that I spent all day playing games, while I was supposed to be doing mathematics. Then I realized that playing games is math." John H. Conway Made with #python #numpy #matplotlib
Matrix operations? Sorted Played around with NumPy ....addition, dot, transpose, determinant & inverse! #PythonDev #NumPy


Day 56 of #100DaysOfCode Finished NumPy tutorial by Chai or Code Today i covered: vector funcs, .npy files, dark mode) & added notes from my AI/ML internship Also initialized my Hackathon project on GitHub + installed deps! Dev starts tomorrow! #NumPy #DataScience #ML #AI

What's been your go-to? Have you tried mixing them, or found one indispensable for your niche? Share your experiences and project types! Let's help each other make smarter choices in the #PyTorch vs #NumPy debate! 👇
NumPy's strength isn't just in array manipulation; it's a community-driven project actively seeking diverse contributions beyond code. From website design to grant writing, there's a place for everyone. #Python #NumPy #OpenSource
⚡ Supercharge your Python skills with NumPy, the backbone of scientific computing! Learn arrays, math ops & data manipulation step by step. Watch here: youtube.com/playlist?list=… #Python #NumPy #DataScience #MachineLearning #AI
Python Challenge 34日目 NumPyを復習。理解がやっと追いついてきた。あとは手を動かして実装あるのみ💪 Tableauは割引率×利益率の負の相関を可視化。LODでサブカテゴリ平均を安定算出、Outlier分類で改善対象を即把握。ツールチップ/サイズ/色/形でUX最適化。まだ未公開。 #Python #NumPy #Tableau…
"I used to feel guilty in Cambridge that I spent all day playing games, while I was supposed to be doing mathematics. Then I realized that playing games is math." John H. Conway Made with #python #numpy #matplotlib
"Day 26/100 of #100DaysOfCode Completed NumPy today! ✅ From arrays to indexing, masking, and multi-dimensional operations — all set to tackle real data with Pandas next. #Python #NumPy #Coding"
Day 25/100 of #100DaysOfCode Dived into NumPy indexing and boolean masking today. It’s crazy how easily you can filter and manipulate data without writing loops. Feeling more confident with data handling! #Python #NumPy #Coding
❓ Your turn: What’s one health habit that boosted your learning/productivity the most? Drop it below—let's share hacks! Tag a health optimizer. 👇 RT if consistency scales for you. Follow @volkovgrowth for more updates! #Python #NumPy #Pandas #Health #Trading
🛑 Still think NumPy is “just another Python library”? #DataScience #Python #NumPy #MachineLearning #AI #DataAnalytics #BigData #DataEngineering #DeepLearning #Analytics #DataDriven #PythonProgramming #DataVisualization #DataScienceCommunity linkedin.com/feed/update/ur…

Mathematical and Statistical Operations on NumPy Arrays. #NumPy #Python #DataScience techvidvan.com/tutorials/math…
Aprende qué es #Cython y cómo puedes usarlo para compilar y acelerar tu código #Python. Descubre sus ventajas, instalación y ejemplos prácticos con #NumPy. #Programación #C codigonautas.com/que-es-cython-…
🚀 Day 3: NumPy Advanced Operations Key insights: • Boolean masks → filter data without loops • Fancy indexing → select specific elements instantly • Dot product → the math behind ML algorithms • Transpose → flip rows ↔️ columns #numpy #python #datascience



🚀 Day 2/30: NumPy Element-wise Operations & Broadcasting Broadcasting = NumPy's superpower! 🔥 Instead of writing loops, NumPy automatically expands arrays: • Add a vector to ALL rows of a matrix • No memory duplication • Lightning fast ⚡ #NumPy #Python #DataScience

🔥 Arrays, matrices, linear algebra & more — this NumPy tutorial series covers everything you need for Python data science. Watch here: youtube.com/playlist?list=… #Python #NumPy #MachineLearning #AI #DataScience
Matrix operations? Sorted Played around with NumPy ....addition, dot, transpose, determinant & inverse! #PythonDev #NumPy


Day 24/100 of #100DaysOfCode Worked with NumPy statistics today — mean, median, std, and variance. Getting a real feel of how data summarization works before visualization. Loving the progress! #Python #NumPy #Coding
🚀 Day 2/30: NumPy Element-wise Operations & Broadcasting Broadcasting = NumPy's superpower! 🔥 Instead of writing loops, NumPy automatically expands arrays: • Add a vector to ALL rows of a matrix • No memory duplication • Lightning fast ⚡ #NumPy #Python #DataScience

🚀 Day 1/30: AI/ML Challenge Today: NumPy Fundamentals ✅ ndarray objects ✅ Vectors & Matrices ✅ Indexing & Slicing ✅ Shape & dtype Today's code highlights:1D (vector) and 2D (matrix) arrays. Access elements via indexing and slicing. 👇



🚀 Today I explored NumPy essentials: np.reshape → reshape arrays (2D, 3D…) Vectorized operations → arr1 + arr2 adds elements by index Universal functions → np.sin, np.sqrt, np.log Array slicing & indexing → arr[start:stop] #Python #DataScience #NumPy
BOOM 💥 - Conformal Prediction - hardcore style. There is no better way to really learn things than implementing them by hand. Jonas Wacker created a @karpathy style repo implementing conformal prediction in numpy! 🔥🔥🔥🔥🔥 #conformalprediction #numpy

Day 56 of #100DaysOfCode Finished NumPy tutorial by Chai or Code Today i covered: vector funcs, .npy files, dark mode) & added notes from my AI/ML internship Also initialized my Hackathon project on GitHub + installed deps! Dev starts tomorrow! #NumPy #DataScience #ML #AI


Day 53 of #100DaysOfCode Updated my portfolio (new project images, added exp, improved responsiveness) Continued my NumPy journey with Chai aur Code – covered array operations Not much today, more tomorrow! #Python #NumPy #WebDev

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