日本語
English Indonesia Türkçe Deutsch Español Português Pусский Français Italiano Nederlands Polski العربية ไทย Tiếng Việt 繁體中文 简体中文 日本語 한국어

#numpyarrays 検索結果

"#numpyarrays" に一致する結果はありません
tenderizzation's profile picture. git bisect bad
tender
@tenderizzation
/10/07

“back in my day when people said ‘numerical stability’ they were referring to topics like machine epsilon and conditioning, not whether an implementation of an algorithm was grossly incorrect” “sure thing, let’s get you back to numpy where the default dtype is float64”

tenderizzation's tweet image. “back in my day when people said ‘numerical stability’ they were referring to topics like machine epsilon and conditioning, not whether an implementation of an algorithm was grossly incorrect” “sure thing, let’s get you back to numpy where the default dtype is float64”
6
10
338
12
12千
DanKornas's profile picture. End-to-End ML Engineer. Building the best AI learning resource at https://t.co/lC2UKMtRjj. Youtube: https://t.co/pjpX8NvUn5
Dan | Machine Learning Engineer
@DanKornas
2024/11/15

Python Numpy Cheat Sheet Learn more here: ailearninghub.io

DanKornas's tweet image. Python Numpy Cheat Sheet Learn more here: ailearninghub.io
6
183
1千
936
87千
akshay_pachaar's profile picture. Simplifying LLMs, AI Agents, RAG, and Machine Learning for you! • Co-founder @dailydoseofds_• BITS Pilani • 3 Patents • ex-AI Engineer @ LightningAI
Akshay 🚀
@akshay_pachaar
2024/10/23

A single line that makes your Python code blazingly fast. 🚀 Numba is a just-in-time (JIT) compiler for Python. It takes your existing Python code and generates a fast machine code (at run-time). Thus, post compilation, your code runs at native machine code speed. Numba works…

akshay_pachaar's tweet image. A single line that makes your Python code blazingly fast. 🚀 Numba is a just-in-time (JIT) compiler for Python. It takes your existing Python code and generates a fast machine code (at run-time). Thus, post compilation, your code runs at native machine code speed. Numba works…
4
94
620
613
46千
auwal_musam's profile picture. Research Scientist | Science analytics | Analyses data to create innovative solutions. Data & Analytics Resources🔽 https://t.co/oIsqf2jRNB
Auwal Musa
 @auwal_musam
2024/07/16

😂 Struggling with arrays? Make NumPy your new BFF! From multiplication to matrix operations, it's like a Swiss Army knife for your data. Plus, smarter data means less crying over your keyboard! 😉#DataScience #Python #NumPyArrays #Just

0
0
0
0
8
prod42net's profile picture. 🌟Experienced #SolutionArchitect mastering #dotNET & more. From #Desktop to #Web, diving into #AI. Let's connect! 🚀#DevLife #TechJunkie #dotnet #cpp #pas #SQL
prod42net
@prod42net
2024/05/01

"Exciting news: Numpy arrays can now be directly stored in a SingleStore VECTOR column. Check out @akmalchaudhri's article for a step-by-step guide and start optimizing your data storage! #SingleStore #DataStorage #NumpyArrays" ift.tt/R5TXAQm

prod42net's tweet card. Abstract The new SingleStore VECTOR data type was introduced in early 2024. It provides a...
Quick tip: Write numpy arrays directly to the SingleStore VECTOR data type
ソース: dev.to
0
0
0
0
18
AssemblyAI's profile picture. Access powerful AI models to transcribe and understand speech via a simple API. Try our no-code playground for free 👉 https://t.co/YPCK9mq5Qy
AssemblyAI
@AssemblyAI
2022/11/23

Python NumPy Tip: If you need to count the number of occurrences of each value in an array, you can use numpy.bincount instead of collections.Counter. bincount is much faster:

AssemblyAI's tweet image. Python NumPy Tip: If you need to count the number of occurrences of each value in an array, you can use numpy.bincount instead of collections.Counter. bincount is much faster:
7
73
567
166
0
iamtrask's profile picture. i teach AI on X Building @openminedorg, @GoogleDeepMind, @OxfordUni. Also @UN @GovAI_ @CFR_org. I like to train federated/decentralized neural nets.
⿻ Andrew Trask
@iamtrask
2022/09/12

#numpy is an irreplaceable part of every practitioner's Deep Learning toolkit. The best way to learn NumPy that I know of is this crash course If NumPy is new to you - definitely include this early in your #100DaysOfMLCode - you won't regret it! cs231n.github.io/python-numpy-t…

iamtrask's tweet image. #numpy is an irreplaceable part of every practitioner's Deep Learning toolkit. The best way to learn NumPy that I know of is this crash course If NumPy is new to you - definitely include this early in your #100DaysOfMLCode - you won't regret it! cs231n.github.io/python-numpy-t…
12
131
607
532
0
DataScienceDojo's profile picture. We make learning data science and LLMs easy! Join the community of 10,000+ professionals. #DSDojo
Data Science Dojo
@DataScienceDojo
2022/04/25

💥 An amazing cheatsheet for NumPy! Source: LearnBay #NumPy #CheatSheet #DataScience

DataScienceDojo's tweet image. 💥 An amazing cheatsheet for NumPy! Source: LearnBay #NumPy #CheatSheet #DataScience
0
122
516
115
0
DataScienceDojo's profile picture. We make learning data science and LLMs easy! Join the community of 10,000+ professionals. #DSDojo
Data Science Dojo
@DataScienceDojo
2021/12/31

🧠 Implement a Neural Network from Scratch with NumPy: hubs.la/Q0118HVt0 #NeuralNetwork #NumPy #Python

DataScienceDojo's tweet image. 🧠 Implement a Neural Network from Scratch with NumPy: hubs.la/Q0118HVt0 #NeuralNetwork #NumPy #Python
0
45
211
30
0
Sauain's profile picture. Senior Developer Community Manager @Apify • Actor Development Advocate •Open Source• Web Scraping• AI • Python • JavaScript •GitHub • @Docker Captain
Saurav Jain (Open Source + Communities)
@Sauain
2021/07/21

Five NumPy Functions a beginner should know about🐍🌟 🧵👇

Sauain's tweet image. Five NumPy Functions a beginner should know about🐍🌟 🧵👇
4
37
210
100
0
pwang's profile picture. Chief AI & Co-founder @AnacondaInc; invented @pyscript_dev, @PyData @Bokeh @Datashader. Former physicist. A student of the human condition. bsky: @wang.social
Peter Wang 🦋
@pwang
2021/01/10

Also in 2006: @teoliphant released the first version of Numpy, unifying the array libraries in Python-land and starting a multi-decade revolution in scalable, vectorized computing for everyone. It paved the way for modern machine learning and AI.

このツイートは利用できません。
8
108
644
16
0
AllenDowney's profile picture. Author of Probably Overthinking It, Think Python, and Think Bayes. Emeritus Prof at Olin College, consultant with PyMC Labs.
Allen Downey
 @AllenDowney
2019/11/03

In my Complexity Science class, I mentioned the way NumPy creates "views" to avoid copying arrays. To explain the idea more clearly, I created this notebook, which you can run on Colab: colab.research.google.com/github/AllenDo… It has some exercises you can work on, in case you are bored.

2
43
187
54
0
hardmaru's profile picture. Building @SakanaAILabs 🧠
hardmaru
@hardmaru
2019/01/21

NumPy 1.16 is the last version of NumPy to support Python2. NumPy 1.17 will drop support for Python2. github.com/numpy/numpy/bl…

4
106
265
5
0
"#numpyarrays" に一致する結果はありません

Something went wrong.


Something went wrong.


United States Trends