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How I find and explore datasets from Kaggle using Python

Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data ...
GitHub

better multiprocessing and multithreading in Python

objects to be transferred between processes using pipes or multi-producer/multi-consumer queues objects to be shared between processes using a server process or (for ...
Ahmedabad Mirror

How Python Fits Into Quantitative and Algorithmic Trading Education

If you had walked onto a trading floor thirty years ago, you would have heard noise before you saw anything. Phones ringing, ...
IEEE

HfZrO x Hybrid DRAM/FRAM Arrays Featuring Excellent Endurance and Low Latency

Abstract: A hybrid 1T-1C HfZrOx(HZO)-DRAM/FRAM (D-FRAM) enabling non-volatile memory (NVM) and DRAM modes at 130 nm node are experimentally demonstrated. Excellent data retention characteristics at ...
IEEE

Real Time Object Recognition Using OpenCV and Numpy in Python

Abstract: Object recognition is the process of recognizing objects based on their characteristics like color, shape, and with the particular occurrence of the object in digital videos and as well as ...
GitHub

DPNP - Data Parallel Extension for NumPy*

Data Parallel Extension for NumPy* or dpnp is a Python library that implements a subset of NumPy* that can be executed on any data parallel device. The subset is a drop-in replacement of core NumPy* ...
Hacker

A Quick Introduction to Python Numpy for Beginners

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...