We are pleased to announce Python environment management features recently added to JupyterLab Desktop. Now you can create new Python env…

Welcome to the fascinating world of Object-Oriented Programming (OOP) in Python, a paradigm that not only enhances the readability and reusability of your code but also makes your software…

Introduction to Brownian Motion

Description: Are you ready to embark on a journey into the world of ethical hacking using the versatile power of Python? Dive deep into the…

In the vast expanse of the digital era, data has become the new gold. Every piece of information, from simple website content to complex datasets, holds value. This is where the art of web scraping…

在互联网行业中，电子商务领域绝对是数据分析用途最多的地方，各大电商平台都依赖数据分析帮助其挖掘用户订单增长机会。比如某宝的随手买一件，核心思路也就是根据用户的日常浏览内容及停留时间，以及订单的关联度来

本文将介绍如何使用Python中的Flask框架创建一个API服务器，并展示如何处理不同的RESTful请求方法。

Project Name: Zenith Tech

How to Call Azure OpenAI Programmatically

本文将重点介绍如何将一个用Python编写的API服务器打包成一个exe文件，便于在Windows平台上轻松部署和运行。

This is an educational blog series around Vector Databases where I try to implement key vector store/retrieval algorithms from scratch to…

In the world of Python programming, classes and instances play a crucial role in creating organized and efficient code. Imagine developing…

Given a string A and a dictionary of n words B, find out if A can be segmented into a space-separated sequence of dictionary words. Return…

PyTorch prefers it model and data components to be all on the same device for efficent compution. However, in complex training pipelines…

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The first step to becoming a great Data Scientist is Web Scraping! Let’s figure it out together.

Andrews curve is used to analyze higher dimensional data by projecting the data points in higher dimension to a pre-defined Fourier series.

Boost Python Efficiency: Why You Should Use ‘at’/‘iat’ Instead of ‘loc’/‘iloc

In the ever-evolving landscape of web development, real-time features such as chat applications, notifications, and live updates have become increasingly popular. These features not only enhance the…

前言 在今天这个数据驱动的时代，大型语言模型（LLM）在处理自然语言处理（NLP）任务时的效能和效率成为了众多研究者和工程师关注的焦点。尤其是在推理成本日益攀升的背景下，如何在保持甚至提升模型性能的同