Hey everyone, in this article we are going to write our first linux service. Actually we will not write service entirely, we will transform…

A Python script that works with a Super Staker to provide a staking pool. A review of the setup, design, data structures, and algorithms.

De inicio, temos que fazer a implementação da biblioteca no build.gradle para o projeto do app em allprojects usando:

I would have to say that my favorite part of using an API is just having to write a couple lines and leverage on the large amounts of code…

In this article, I created a dashboard for monitoring the latency of crypto exchanges in real-time using Python. All sources available.

Which Hypothesis Test should you use? Pearson or Spearman? T-Test or Z-Test? Chi Square? No problem with easy-ht.

Working with many ETL kinds of stuff, for example, read the data from CSV files and then store it into BigQuery tables for analysis.

Line continuations should be avoided in code, but are useful in this case!

Using `cache` and `lru_cache` from `functools`

Recently on Medium, I’ve seen a slew of posts about trading the wheel, which is an options selling strategy wherein covered calls and…

Chatbot學習筆記-Day2

Streamlit is a Python library that helps us develop UIs for our models without HTML/CSS/JS. Most models die inside a Jupyter notebook and…

Assume you need to add another field in your model’s list view. Let’s go step by step.

前一篇文章讲述了数据预处理、Jieba分词和文本聚类知识，这篇文章主要介绍Matplotlib和Pandas扩展包绘图的基础用法，同时引入Echarts技术，该技术主要应用于网站可视化展示中。本文内容以实例为主，给读者最直观的图形感受。两万字基础文章，希望对您有所帮助。

前言前段时间，用PyQt5写了几篇文章，关于Python自制一款炫酷音乐播放器、自定义桌面动画挂件、车牌自动识别系统。今天就继续给大家分享一个实战案例，带大家一起用Python的PyQt5开发一个自定义动态桌面壁纸，好玩又有趣！首先一起来看看最终实现的自定义动态壁纸效果：...

摘要：上一节对决策树的基本原理进行了梳理，本节主要根据其原理做一个逻辑的实现，然后调用sklearn的包实现决策树分类。 这里主要是对分类树的决策进行实现，算法采用ID3，即以信息增益作为划分标准进行

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely - marceloprates/prettymaps

Learn about interesting real-world use cases of Python and what makes it so useful.

A step-by-step tutorial on sending emails using Python

Learn the best PyTest commands to speed up your development process