#numpy 搜尋結果
Day 54 of #100DaysOfCode After college: Improved my DevStash project documentation Worked on NumPy – made notes & practiced it on Jupyter notebook! #Python #NumPy #coding
The Bak-Sneppen model: species in a circle, each with random fitness. Replace the weakest species (and its neighbors) with new random values. Cascading evolutionary avalanches emerge, showing self-organized criticality from simple rules. Made with #python #numpy #matplotlib
Matrix operations? Sorted Played around with NumPy ....addition, dot, transpose, determinant & inverse! #PythonDev #NumPy
"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 Nothing major today still on NumPy, working more on matrix multiplication, practicing different variations of it. Also revisited file handling, error handling, and even touched on JSON again. Basically a recap.#100DaysOfAI #MachineLearning #NumPy #Python #KeepLearning
The Bak-Sneppen model: species in a circle, each with random fitness. Replace the weakest species (and its neighbors) with new random values. Cascading evolutionary avalanches emerge, showing self-organized criticality from simple rules. Made with #python #numpy #matplotlib
Day 26 Nothing major today still on NumPy, working more on matrix multiplication, practicing different variations of it. Also revisited file handling, error handling, and even touched on JSON again. Basically a recap.#100DaysOfAI #MachineLearning #NumPy #Python #KeepLearning
(Open Access) Deep Learning: Technical Introduction: freecomputerbooks.com/Deep-Learning-… Look for "Read and Download Links" section to download. Follow me if you like this post. #DeepLearning #PyTorch #NumPy #MXNet #TensorFlow #LLMs #GenAI #GenerativeAI #DataMining #BigData #DataScience
(FREE Online & PDF Download) Dive into Deep Learning: freecomputerbooks.com/Dive-into-Deep… Look for "Read and Download Links" section to download. Follow me if you like this post. #DeepLearning #PyTorch #NumPy #MXNet #TensorFlow #LLMs #GenAI #GenerativeAI #DataMining #BigData #DataScience
Difference Between Python List and NumPy Array #Python #Numpy #Datascience #Dataanalysis #Datavisualization plainenglish.io/blog/python-li…
NumPy (Numerical Python) is an open source Python library. NumPy is the fundamental package for scientific computing in Python. In this article, we will explore How to do Data Analysis using NumPy. #numpy #python #analysis blackslate.io/articles/data-…
Python Challenge 38日目 Python：NumPyとpandasをYouTubeで復習📺 やっぱり動画だと理解しやすい。実際の動きを見ながら整理できるのがいい。 もう少し動画で知識を深めてみよう💡 Tableau：今日はお休み。 焦らず、学びを積み重ねていこう☕️ #Python #NumPy #pandas #Tableau #100DaysOfCode…
Python Challenge Day 38 Reviewed NumPy and pandas on YouTube 📺 Videos make things easier to grasp — seeing the code in action really helps! Planning to keep learning through more tutorials 💡 No Tableau today. Slow and steady progress ☕️ #Python #NumPy #pandas #Tableau…
📌 Learning by Doing – Python Basics to Plots! This summer, I learned Python from scratch, starting with variables and loops, then progressing to advanced topics. #Python #Matplotlib #NumPy #EngineeringStudent #LearningByDoing #Mechanical
psi4numpy Interactive quantum chemistry framework for prototyping, education, and reference implementations with Psi4 and NumPy. #quantumchemistry #python #NumPy #education
#100DaysOfCode Day 77 Learned how to create arrays with np.array(), .arange(), .random(), and .linspace(). Explored array shapes, slicing, broadcasting, and matrix multiplication. Also practiced manipulating images as ndarrays using NumPy. #Python #NumPy
#100DaysOfCode Day 76 Learned to pull random samples with .sample(), detect/remove duplicates using .duplicated() and .drop_duplicates(), convert strings to numbers via .to_numeric(), and create beautiful pie, donut, bar, box, and scatter plots with Plotly. #Python #DataScience
Day 46 — Trinovous AI/ML Journey Today I unlocked the power of NumPy — the backbone of fast data handling in Python. 🧠 Learned: Arrays & Broadcasting Matrix ops Row/Col sums Saving .npy files Next: Pandas & Data Cleaning 🧹 #NumPy #AI #ML #DataScience #Python #LearningInPublic
✅I have completed the NUMPY Introduction Exercise from W3Schools 💪 #W3Schools #NUMPY #Exercises w3schools.com/python/numpy/e…
Week One I learned how to handle basic to advanced operations using NumPy in my machine learning journey. #numpy #pythonprogramming #datascienceblog #pythonprogramming
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
Matrix operations? Sorted Played around with NumPy ....addition, dot, transpose, determinant & inverse! #PythonDev #NumPy
Day 54 of #100DaysOfCode After college: Improved my DevStash project documentation Worked on NumPy – made notes & practiced it on Jupyter notebook! #Python #NumPy #coding
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
Roads of London! This map was generated using #Matplotlib #Numpy #Geopandas. #Python #DataScience #Data #DataVisualization #London.
Day 29: Practicing NumPy Basics 🔢⚡ Today’s focus: ✅ Practiced array creation & operations ✅ Explored indexing & slicing in NumPy ✅ Strengthened foundation with hands-on examples #100DaysOfCode #Python #NumPy #Day28 #DevJourney
Something went wrong.
Something went wrong.
United States Trends
- 1. Baker 32.1K posts
- 2. #WWERaw 43.9K posts
- 3. Gibbs 20.5K posts
- 4. Lions 78.8K posts
- 5. Mike Evans 9,983 posts
- 6. Bucs 18.9K posts
- 7. #OnePride 7,672 posts
- 8. White House 92.4K posts
- 9. Tez Johnson 3,106 posts
- 10. Dan Campbell 1,947 posts
- 11. Goff 8,228 posts
- 12. Dragon Lee 7,004 posts
- 13. Texans 19K posts
- 14. Seahawks 18.1K posts
- 15. Kelvin Sheppard N/A
- 16. #TBvsDET 5,179 posts
- 17. Jameson Williams 1,536 posts
- 18. Josh Naylor 3,270 posts
- 19. #LaCasaDeAlofoke2 6,251 posts
- 20. #ALCS 7,909 posts