The power of Python trumps Excel workbooks.

普段 Excel や VBA で業務を自動化している方が、Python を使って データの集計・加工・可視化 を一気通貫でできるようになるための講座です。 教材はすべて Jupyter Notebook (.ipynb) 形式です。各章の Open in Colab バッジをクリックすると、お使いのブラウザで Google ...

80% of Data Analyst Candidates Get Rejected… Because They Can’t Answer These Questions! Most analysts know tools. Few know how to use them like a pro. I’ve compiled the ultimate cheat sheet of Excel, ...

The days of manually copying and pasting data into Excel. That is the worst kind of bad debt, throwing away your precious resources (time and brain processing power) down the drain. If you think of ...

🚀 BikeWale Bike Analysis Project | Data Analytics I’m sharing my BikeWale Bike Analysis project, where I analyzed bike data to identify patterns in pricing, mileage, engine capacity, and performance.

Cleaning massive, disorganized spreadsheets or parsing through thousands of lines of raw server logs is annoying. You can do it yourself, make a program to do it, or you can just give it to Claude and ...

Select an issue and ask to be assigned to it. Check existing scripts in the projects directory. Star this repository. On the python-mini-projects repo page, click the Fork button. Clone your forked ...

Compare the best free Microsoft Excel alternatives for 2026, including features, pricing, pros and cons, and use cases for each spreadsheet tool. The kinds of features you need from your spreadsheet ...

Make data more insightful with free, online, collaborative spreadsheets. See plans and pricing Try for free See plans and pricing Try for free Microsoft 365 Copilot in Excel unlocks the latest AI ...

In this post, we will show you how to get Word, Excel, PowerPoint, and Outlook for free on a Windows 11/10 PC. All these applications are part of the Microsoft 365 (Formerly Office 365) or Office 2024 ...

在人工智能的蛮荒时代，我们习惯于将大模型视为一个黑箱。我们往里面投入语料、算力和电力，然后期待它吐出智能。然而，随着OpenAI从非营利实验室蜕变为估值数万亿美元的科技巨兽，其内部运转的逻辑早已超越了简单的“训练-推理”模型。如今，驱动这个庞然大物的，是一种更为隐秘、更为暴烈的力量——Token的重新分配。 Token，这个在自然语言处理中微不足道的计量单位，此刻正扮演着“数字石油”的角色。谁掌握 ...

2026 年再看大数据行业，真正缺的已经不是“会用工具的人”，而是能把数据、业务和 AI 场景连起来的人。很多大学生担心大数据太卷，其实卷的是入门级报表岗、只会 SQL 取数岗，数据治理、AI ...