note

[Part 2] Batch Fetch Stock Prices for Multiple Tickers with Python! How to Automatically Output Moving Averages and Golden Crosses to Excel (J-Quants API)

What you will be able to do with this article Manage a list of tickers in a CSV file and fetch them in bulk Follow the request limit (rate limit) for each plan to fetch data safely Calculate 5-day, 25 ...
note

[For Python Beginners] Create an Excel Sales Table with ChatGPT → Analyze with Jupyter! From CSV Loading to Product Rankings

Why don't we try doing Excel tasks together using Python? In this article, we will use a sales table for a fictional electronics retailer, convert an Excel file to CSV, and load it into a Jupyter ...
KDnuggets

5 AutoHotkey Scripts for Data Scientists

Five AutoHotkey v2 scripts that handle repetitive Windows desktop work around data analysis: launching a project workspace, converting clipboard IDs to Python or SQL lists, fixing file paths, and ...
blog.csdn

Matplotlib与Seaborn选型实战：从底层画布到统计图表完整指南

数据可视化是数据分析与工程实践中不可或缺的环节，Python生态中Matplotlib与Seaborn构成了最常用的绘图组合。 Matplotlib提供底层画布与像素级控制能力，适合定制化报表、论文插图与复杂排版；Seaborn则基于高层统计封装，一行代码即可完成分布、关系与分类图表的绘制，天然适配DataFrame数据探索。