#numpy 搜索结果
Lorenz attractor. The most famous chaotic attractor in history, discovered by Edward Lorenz in 1963. Made with #python #numpy #pygfx
Day 24 done✅ Today, I completed the fundamentals of #NumPy, learning how to build the crucial data structures for #DataAnalytics. This is what I learnt: 1. Creation & Types: Made arrays (1D, 2D), defined data types (float, string), and generated random numbers/zeros/ones…
Day 23 of my Data Analytics journey Today I learnt about programming concepts: •Control Structures & Decision Making: if-else blocks, comparison operators, and Alert •Object-Oriented Programming (OOP): Key concepts, creating classes and objects, including: •Rectangle…
Bak, Tang & Wiesenfeld's sandpile model demonstrates Self-Organized Criticality perfectly: one grain triggers massive avalanches! Small events, large and non-local consequences - maybe also in markets, politics, ecology. 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
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
Day 18 — Learned NumPy Broadcasting today. Crazy how NumPy lets you do big operations without loops. Understanding axes + shapes made vectorization so easy #100DaysOfDataScience #NumPy #Python
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-…
Spent some time understanding how NumPy actually works. • Arrays vs Python lists • Array creation • Vectorization & broadcasting • Slicing, indexing, reshaping • Useful math functions Slowly getting comfortable with it. #Python #NumPy #CodingJourney #DataScience
Day 20— Practiced NumPy basics: shapes, indexing, stats and normalizing data. NumPy makes data work so much faster. Feeling more comfortable every day. #100DaysOfDataScience #NumPy #LearningInPublic
Techinternetz: Mastering NumPy: The Cornerstone Python Library for Scientific Computing: techinternetz.blogspot.com/2025/12/master… #numpy #python #library #computing
Day020 - #100DaysOfPython: Seeing Matrix and Linear Algebra in python is crazyyee!! The fact that I can even derive a determinant without having to write on paper or use Cramer's rule with Ax = b is 🤯.. So many things are possible in tech, with the right tools. #NumPy is one.
#Day019 - #100DaysOfPython challenge: Did more on NumPy - Learning more about how arrays and matrices work, and how to avoid errors using Python Programming. #Data #DataScience #PythonProgramming #NumPy
📊 NumPy is the foundation of Pandas, TensorFlow, and SciPy. Start learning it today with this easy video playlist! Watch here: youtube.com/playlist?list=… #Python #NumPy #DataScience #ML #AI
Techinternetz: NumPy Array Reshaping: techinternetz.blogspot.com/2025/12/numpy-… #numpy #array #reshaping
Day 24 done✅ Today, I completed the fundamentals of #NumPy, learning how to build the crucial data structures for #DataAnalytics. This is what I learnt: 1. Creation & Types: Made arrays (1D, 2D), defined data types (float, string), and generated random numbers/zeros/ones…
Day 23 of my Data Analytics journey Today I learnt about programming concepts: •Control Structures & Decision Making: if-else blocks, comparison operators, and Alert •Object-Oriented Programming (OOP): Key concepts, creating classes and objects, including: •Rectangle…
Roads of London! This map was generated using #Matplotlib #Numpy #Geopandas. #Python #DataScience #Data #DataVisualization #London.
Matrix operations? Sorted Played around with NumPy ....addition, dot, transpose, determinant & inverse! #PythonDev #NumPy
Day 2 of my AI journey 🚀, Today I dived into NumPy arrays. Learned how to bend data into shape, slice it, and make it talk with mean, min, max, and more. Feels like I just unlocked the building blocks of machine learning. 🔥 #AIJourney #NumPy #Day2
Built a simple Number Guessing game using NumPy today ... Learned more concepts which I’ll be posting tomorrow. Slowly levelling up with practice.. #python #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
⭐Today’s Learning- I explored NumPy and practiced through documentation . Topics I covered today: - Attributes - Creating Arrays - Functions - Indexing - Operations It was a really good experience diving into these concepts and building confidence step by step #Python #NumPy
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