As diversity in work styles expands in society, more people are considering side hustles as data analysis professionals to improve their skills and increase their income by participating in projects.
コードさえ公開しなければ技術は守れる。一部の開発者はそう考えてきた。英国政府の研究機関が、この前提をAIコーディングエージェントで検証した。公開済みの論文だけを与えられたエージェントは、20ドル以下の金額でどこまで再現できたのか。（2026/10/30） 日本の開発者が抱く危機感： 「3年以内に車はランサムウェアに狙われる」9割の開発者が回答 ソフトウェアのアップデートが提供される自動車車両（SD ...
Six months ago in Atlanta, I closed my post with a promise: SQLCon is coming to Europe, and I can’t wait to see you there. This week in Barcelona, we made it happen. Across the announcements we shared ...
Data scientists and data engineers often find themselves caught between two worlds: SQL and Python. Some find SQL more intuitive, especially when combined with a powerful engine like BigQuery to ...
SQL is still one of the most important skills for data analysts, data scientists, business intelligence analysts, and analytics engineers. But learning SQL syntax is only the first step. To stand out, ...
Python remains one of the best programming languages for building practical, real-world projects, especially as AI, automation, APIs, dashboards, and data applications continue to grow in 2026. In ...
Vilnius, Lithuania, June 4, 2026. – As AI transforms the demand for worker skills across the U.S., a new analysis, conducted by Oxylabs, a web intelligence company, shows what employers have actually ...
Download kaggle dataset resources to explore real-world data, build models, and sharpen analytics skills in one trusted platform. Discover practical tools, public data, community insights, and kaggle ...
In 2026, entry-level and transition roles often expect more than passive course completion. Employers want to see that you can write queries that answer business questions, work with browser logic, ...
Tony Phillips is a senior author at How-To Geek with over a decade of experience working with documents, data, and digital productivity tools. Holding a dual-honors degree in Linguistics and Hispanic ...
In this project, Downloaded real-world sales data from Kaggle using Kaggle API. Cleaned and explored the dataset using pandas. Stored and queried the data using SQLite directly inside Python.
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