corpus.blog
41554 blogs · [ { "id": "01a08769-0aa5-70e9-8250-4a0858302d1c", "title": "2025 Year in Review", "url": "https://davidasboth.com/2025-year-in-review.html", "published_at": "2025-12-31T15:00:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a0858a2ecd4", "title": "PyCon UK 2025 Roundup", "url": "https://davidasboth.com/pycon-uk-2025-roundup.html", "published_at": "2025-09-26T20:00:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a0858df9cf5", "title": "The gardener's guide to data analysis", "url": "https://davidasboth.com/gardeners-guide-to-data-analysis.html", "published_at": "2024-04-28T16:00:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a0859220650", "title": "Learn data science like you would learn jazz", "url": "https://davidasboth.com/learning-data-like-jazz.html", "published_at": "2023-06-17T18:00:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a085992523f", "title": "How generalists learn", "url": "https://davidasboth.com/learning-as-a-data-generalist.html", "published_at": "2022-11-22T13:54:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a0859949d11", "title": "Why I now call myself a \"data generalist\"", "url": "https://davidasboth.com/why-i-now-call-myself-a-data-generalist.html", "published_at": "2022-11-21T13:54:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a0859c2ab8a", "title": "Citizen Data Science", "url": "https://davidasboth.com/citizen-data-science.html", "published_at": "2022-11-08T13:54:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a085a4ebafc", "title": "How to use your impostor syndrome to learn anything", "url": "https://davidasboth.com/impostor-syndrome.html", "published_at": "2022-11-08T13:54:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a085b2c60b2", "title": "Machine Learning Haikus", "url": "https://davidasboth.com/machine-learning-haikus.html", "published_at": "2017-04-17T12:48:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a085c2af13c", "title": "Analysis: Is Alan Davies Getting Better at QI?", "url": "https://davidasboth.com/analysis-is-alan-davies-getting-better-at-qi.html", "published_at": "2017-02-15T12:06:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a085d1211ae", "title": "Visualising the Worldwide Win Percentage of the Hungarian National Football Team", "url": "https://davidasboth.com/visualising-the-worldwide-win-percentage-of-the-hungarian-national-football-team.html", "published_at": "2017-01-20T11:36:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a085d36691b", "title": "The World Map of the 2016 FIFA Awards", "url": "https://davidasboth.com/the-world-map-of-the-2016-fifa-awards.html", "published_at": "2017-01-13T15:06:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a085da1f6ac", "title": "Method Chaining in Pandas", "url": "https://davidasboth.com/method-chaining-in-pandas.html", "published_at": "2016-11-30T18:14:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a085e979a38", "title": "Visualising Decision Trees in Python", "url": "https://davidasboth.com/visualising-decision-trees-in-python.html", "published_at": "2016-11-28T22:03:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a085f131451", "title": "SQL For Data Scientists", "url": "https://davidasboth.com/sql-for-data-scientists.html", "published_at": "2016-11-26T20:08:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a085fbcf2c9", "title": "More on K-means Clustering", "url": "https://davidasboth.com/more-on-k-means-clustering.html", "published_at": "2016-11-20T17:01:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a08601306d3", "title": "Introduction to K-means Clustering", "url": "https://davidasboth.com/introduction-to-k-means-clustering.html", "published_at": "2016-11-20T15:18:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a08610db888", "title": "Turning Jupyter Notebooks into Reusable Scripts", "url": "https://davidasboth.com/turning-jupyter-notebooks-into-reusable-scripts.html", "published_at": "2016-11-17T19:56:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a0861886063", "title": "Duck Typing", "url": "https://davidasboth.com/duck-typing.html", "published_at": "2016-11-14T16:05:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a08627bd2a7", "title": "How to Connect to Google Sheets in Python", "url": "https://davidasboth.com/connecting-to-google-sheets-in-python.html", "published_at": "2016-11-13T13:54:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a086292a38c", "title": "Markov Chains for Text Generation", "url": "https://davidasboth.com/markov-chains-for-text-generation.html", "published_at": "2016-11-12T22:09:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a08630a56e3", "title": "Why You Should Reinvent the Machine Learning Wheel", "url": "https://davidasboth.com/why-you-should-reinvent-the-machine-learning-wheel.html", "published_at": "2016-11-11T17:17:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a0863402dc8", "title": "Realistic Machine Learning", "url": "https://davidasboth.com/realistic-machine-learning.html", "published_at": "2016-11-10T15:41:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a08643ffdf7", "title": "\"Intuition First\" Machine Learning", "url": "https://davidasboth.com/intuition-first-machine-learning.html", "published_at": "2016-11-07T09:34:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a0864b305b0", "title": "Self-Organising Maps: In Depth", "url": "https://davidasboth.com/self-organising-maps-in-depth.html", "published_at": "2016-11-06T19:44:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a08652c450f", "title": "Self-Organising Maps: An Introduction", "url": "https://davidasboth.com/self-organising-maps-an-introduction.html", "published_at": "2016-11-05T18:26:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a08658a4eb3", "title": "The Junk in Fallout 4 - a Web Scraping Tutorial", "url": "https://davidasboth.com/the-junk-in-fallout-4.html", "published_at": "2016-11-03T22:36:00+00:00" }, { "id": "01a08769-0aa5-70e9-8250-4a086681c479", "title": "Analysing London House Prices", "url": "https://davidasboth.com/analysing-london-house-prices.html", "published_at": "2016-10-23T15:33:00+00:00" } ] posts Claim your blog
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davidasboth.com

davidasboth.com

2025

2025 Year in Revieworiginal ↗
31 Dec 2025
PyCon UK 2025 Rounduporiginal ↗
26 Sept 2025

2024

The gardener's guide to data analysisoriginal ↗
28 Apr 2024

2023

Learn data science like you would learn jazzoriginal ↗
17 Jun 2023

2022

How generalists learnoriginal ↗
22 Nov 2022
Why I now call myself a "data generalist"original ↗
21 Nov 2022
Citizen Data Scienceoriginal ↗
8 Nov 2022
How to use your impostor syndrome to learn anythingoriginal ↗
8 Nov 2022

2017

Machine Learning Haikusoriginal ↗
17 Apr 2017
Analysis: Is Alan Davies Getting Better at QI?original ↗
15 Feb 2017
Visualising the Worldwide Win Percentage of the Hungarian National Football Teamoriginal ↗
20 Jan 2017
The World Map of the 2016 FIFA Awardsoriginal ↗
13 Jan 2017

2016

Method Chaining in Pandasoriginal ↗
30 Nov 2016
Visualising Decision Trees in Pythonoriginal ↗
28 Nov 2016
SQL For Data Scientistsoriginal ↗
26 Nov 2016
More on K-means Clusteringoriginal ↗
20 Nov 2016
Introduction to K-means Clusteringoriginal ↗
20 Nov 2016
Turning Jupyter Notebooks into Reusable Scriptsoriginal ↗
17 Nov 2016
Duck Typingoriginal ↗
14 Nov 2016
How to Connect to Google Sheets in Pythonoriginal ↗
13 Nov 2016
Markov Chains for Text Generationoriginal ↗
12 Nov 2016
Why You Should Reinvent the Machine Learning Wheeloriginal ↗
11 Nov 2016
Realistic Machine Learningoriginal ↗
10 Nov 2016
"Intuition First" Machine Learningoriginal ↗
7 Nov 2016
Self-Organising Maps: In Depthoriginal ↗
6 Nov 2016
Self-Organising Maps: An Introductionoriginal ↗
5 Nov 2016
The Junk in Fallout 4 - a Web Scraping Tutorialoriginal ↗
3 Nov 2016
Analysing London House Pricesoriginal ↗
23 Oct 2016