Python Data Science Handbook | Python Data Science Handbook
This website contains the full text of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub in the form of Jupyter notebooks. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license. If you find this content useful, please consider supporting the work by buying the book!
Flame Graphs
Recent posts: 29 Oct 2024 » AI Flame Graphs 22 Jul 2024 » No More Blue Fridays 24 Mar 2024 » Linux Crisis Tools 17 Mar 2024 » The Return of the Frame Pointers 10 Mar 2024 » eBPF Documentary 28 Apr 2023 » eBPF Observability Tools Are Not Security Tools 01 Mar 2023 » USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon 17 Feb 2023 » USENIX SREcon APAC 2023: CFP 02 May 2022 » Brendan
Visual Vocabulary - Vega Edition
There are so many ways to visualise data – how do we know which one to pick? Click on the coloured categories below to decide which data relationship is most important in your story, then look at the different types of chart within the category to form some initial ideas about what might work best. This list is not meant to be exhaustive, nor a wizard, but is a useful starting point for making inf
Fred Perry x Raf Simons
Explore the new collection in a virtual suburb.
Journey to the Centre of the Earth
How far would you have to travel to reach the Earth's core? And what would you see along the way? Discover what lies beneath... Congratulations! You've reached the center of the earth The forces of gravity are pulling equally in all directions and you are now weightless. But don't get too comfortable. It’s over 6,000C here - you were cooked long ago. The distance to the centre of the Earth has bee
Human Terrain
This project wields data from the Global Human Settlement Layer, which uses “satellite imagery, census data, and volunteered geographic information†to create population density maps. In parts of the world where census data is unreliable (e.g., India, China), population density was visibly noisy on the maps. Using this data for research purposes has a number of caveats, and most are very well deta
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
Introduction to D3
データ視覚化ã®ãƒ‡ã‚¶ã‚¤ãƒ³å›³è§£ã¾ã¨ã‚
geographies of innovation
The 10 Most Populous U.S. Cities, Every Decade Since 1790
Bar chart race
chart-doctor/visual-vocabulary at main · Financial-Times/chart-doctor
GitHub - Financial-Times/chart-doctor: Sample files to accompany the FT's Chart Doctor column
Live Animated Air Quality Map (AQI, PM2.5...) | IQAir
Every Person in Great Britain Mapped
Delhi | 1942 v 1956
NYC Subway Travel Time Map
On Time Everytime
Satellites
How Far is it to Mars?
{{#tags}}- {{label}}
{{/tags}}