Category: numpy
-
NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis
NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis Build a high-performance sensor data pipeline from scratch and unlock the true speed of Python’s scientific computing core The post NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis appeared first on Towards Data Science. Ibrahim Salami Go to original source
-
Using NumPy to Analyze My Daily Habits (Sleep, Screen Time & Mood)
Using NumPy to Analyze My Daily Habits (Sleep, Screen Time & Mood) Can I use NumPy to figure out how my habits affect my mood and productivity? The post Using NumPy to Analyze My Daily Habits (Sleep, Screen Time & Mood) appeared first on Towards Data Science. Ibrahim Salami Go to original source
-
Hidden Gems in NumPy: 7 Functions Every Data Scientist Should Know
Hidden Gems in NumPy: 7 Functions Every Data Scientist Should Know I’ve been learning data analytics for a year now. So far, I can consider myself confident in SQL and Power BI. The transition to Python has been quite exciting. I’ve been exposed to some neat and smarter approaches to data analysis. After brushing up…
-
NumPy API on a GPU?
NumPy API on a GPU? It’s here already from Nvidia and it’s called cuNumeric. The post NumPy API on a GPU? appeared first on Towards Data Science. Thomas Reid Go to original source
-
Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype
Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype Improve static analysis and run-time validation with full generic specification The post Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype appeared first on Towards Data Science. Christopher Ariza Go to original source
-
The Total Derivative: Correcting the Misconception of Backpropagation’s Chain Rule
The Total Derivative: Correcting the Misconception of Backpropagation’s Chain Rule This article uses concepts from this brilliant paper. For a deeper understanding of the mathematics please refer to the paper. Here we try to present the math in a more intuitive and explicit way, with some important nuances highlighted. 1 Introduction Discussions about Backpropagation often…
-
NumExpr: The “Faster than Numpy” Library Most Data Scientists Have Never Used
NumExpr: The “Faster than Numpy” Library Most Data Scientists Have Never Used Browsing GitHub the other day, I came across a library I’d never heard of before. It was called NumExpr. I was immediately interested because of some claims made about the library. In particular, it stated that for some complex numerical calculations, it was…
-
Using Constraint Programming to Solve Math Theorems
Using Constraint Programming to Solve Math Theorems Case study: the quasigroups existence problem TLDR Some mathematical theorems can be solved by combinatorial exploration. In this article, we focus on the problem of the existence of some quasigroups. We will demonstrate the existence or non existence of some quasigroups using NuCS. NuCs is a fast constraint…
-
I’m Doing the Advent of Code 2024 in Python — Day 4
I’m Doing the Advent of Code 2024 in Python — Day 4 Let’s see how many stars we’ll collect. Continue reading on Towards Data Science » Soner Yıldırım Go to original source