corpus.blog
54,302 blogs · [ { "id": "01a0877f-2ba5-7366-bb37-f0f4e6c5ea8d", "title": "Prototyping a PDF Chatbot from Scratch", "url": "http://www.gregreda.com/2023/10/26/prototyping-a-pdf-chatbot-from-scratch/", "published_at": "2023-10-26T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4e7961827", "title": "Django Command for FIT files", "url": "http://www.gregreda.com/2023/05/21/django-command-for-fit-files/", "published_at": "2023-05-21T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4e7ea8db1", "title": "Notes on using PyInstaller, poetry, and pyenv", "url": "http://www.gregreda.com/2023/05/18/notes-on-using-pyinstaller-poetry-and-pyenv/", "published_at": "2023-05-18T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4e8b7f3c7", "title": "Assorted bits: 2022-12-09", "url": "http://www.gregreda.com/2022/12/09/assorted-bits-2022-12-09/", "published_at": "2022-12-09T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4e98d95d2", "title": "This One's For Me", "url": "http://www.gregreda.com/2022/11/30/this-ones-for-me/", "published_at": "2022-11-30T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4ea2b8419", "title": "Reviving this space", "url": "http://www.gregreda.com/2022/11/18/reviving-this-space/", "published_at": "2022-11-18T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4eaeb1c04", "title": "Mocking an imported module-level function in Python", "url": "http://www.gregreda.com/2021/06/28/mocking-imported-module-function-python/", "published_at": "2021-06-28T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4eb994ab7", "title": "Using Go and Twilio to monitor my email", "url": "http://www.gregreda.com/2020/12/11/using-go-and-twilio-to-monitor-my-email/", "published_at": "2020-12-11T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4ec36cf9a", "title": "Deploying static sites with Github Actions", "url": "http://www.gregreda.com/2020/12/09/deploying-static-sites-with-github-actions/", "published_at": "2020-12-09T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4ec867755", "title": "newbird: a theme for pelican", "url": "http://www.gregreda.com/2020/11/25/newbird-pelican-theme/", "published_at": "2020-11-25T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4ed00f333", "title": "Scraping pages behind login forms", "url": "http://www.gregreda.com/2020/11/17/scraping-pages-behind-login-forms/", "published_at": "2020-11-17T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4ed775f93", "title": "Feature Engineering with Time Gaps", "url": "http://www.gregreda.com/2020/02/16/feature-engineering-with-time-gaps/", "published_at": "2020-02-16T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4ee0343f5", "title": "Lenny Dykstra, His Strike Zone, & Bayesian Stats", "url": "http://www.gregreda.com/2018/07/08/dykstra-strike-zone-bayesian-stats/", "published_at": "2018-07-08T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4ee16b99e", "title": "Hiring Data Scientists", "url": "http://www.gregreda.com/2018/02/04/hiring-data-scientists/", "published_at": "2018-02-04T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4ee820b44", "title": "My Experience as a Freelance Data Scientist", "url": "http://www.gregreda.com/2017/01/07/freelance-data-science-experience/", "published_at": "2017-01-07T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4ef7f92b0", "title": "[Talk] Data-Informed vs Data-Driven", "url": "http://www.gregreda.com/2016/11/20/data-informed-pydata-video/", "published_at": "2016-11-20T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f060eadf", "title": "Asynchronous Scraping with Python", "url": "http://www.gregreda.com/2016/10/16/asynchronous-scraping-with-python/", "published_at": "2016-10-16T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f14f8710", "title": "Visualizing the 2015 NL Cy Young Race", "url": "http://www.gregreda.com/2015/11/19/nl-cyyoung-viz-2015/", "published_at": "2015-11-19T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f239b776", "title": "Cohort Analysis with Python", "url": "http://www.gregreda.com/2015/08/23/cohort-analysis-with-python/", "published_at": "2015-08-23T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f29163fa", "title": "Nonsensical beer reviews via Markov chains", "url": "http://www.gregreda.com/2015/03/30/beer-review-markov-chains/", "published_at": "2015-03-30T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f32c256f", "title": "Using Travis & GitHub to deploy static sites", "url": "http://www.gregreda.com/2015/03/26/static-site-deployments/", "published_at": "2015-03-26T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f3998bf9", "title": "Web Scraping 201: finding the API", "url": "http://www.gregreda.com/2015/02/15/web-scraping-finding-the-api/", "published_at": "2015-02-15T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f465dd7b", "title": "[Talk] Translating SQL to pandas", "url": "http://www.gregreda.com/2014/12/22/translating-sql-to-pandas-video/", "published_at": "2014-12-22T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f477eeb4", "title": "Scraping Craigslist for sold out concert tickets", "url": "http://www.gregreda.com/2014/07/27/scraping-craigslist-for-tickets/", "published_at": "2014-07-27T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f48fdb3b", "title": "Principles of good data analysis", "url": "http://www.gregreda.com/2014/03/23/principles-of-good-data-analysis/", "published_at": "2014-03-23T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f4f2a1ca", "title": "Finding the midpoint of film releases", "url": "http://www.gregreda.com/2014/01/23/film-releases-midpoint/", "published_at": "2014-01-23T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f53c1d3e", "title": "3-pointers after offensive rebounds", "url": "http://www.gregreda.com/2013/12/26/three-pointers-after-offensive-rebounds/", "published_at": "2013-12-26T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f5590f76", "title": "Using pandas on the MovieLens dataset", "url": "http://www.gregreda.com/2013/10/26/using-pandas-on-the-movielens-dataset/", "published_at": "2013-10-26T10:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f577a4e9", "title": "Working with DataFrames", "url": "http://www.gregreda.com/2013/10/26/working-with-pandas-dataframes/", "published_at": "2013-10-26T09:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f5f28d59", "title": "Intro to pandas data structures", "url": "http://www.gregreda.com/2013/10/26/intro-to-pandas-data-structures/", "published_at": "2013-10-26T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f6a4975d", "title": "New theme for Pelican", "url": "http://www.gregreda.com/2013/10/24/new-theme-for-pelican/", "published_at": "2013-10-24T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f7a217a1", "title": "Useful Unix commands for data science", "url": "http://www.gregreda.com/2013/07/15/unix-commands-for-data-science/", "published_at": "2013-07-15T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f7e1e1c3", "title": "How random is JavaScript's Math.random()?", "url": "http://www.gregreda.com/2013/06/30/testing-javascripts-random-function/", "published_at": "2013-06-30T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f81f138d", "title": "Join vs Exists vs In (SQL)", "url": "http://www.gregreda.com/2013/06/03/join-vs-exists-vs-in/", "published_at": "2013-06-03T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f8a9c67e", "title": "More web scraping with Python (and a map)", "url": "http://www.gregreda.com/2013/04/29/more-web-scraping-with-python/", "published_at": "2013-04-29T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f8e696af", "title": "Write online about what you love", "url": "http://www.gregreda.com/2013/03/16/why-you-should-write-online/", "published_at": "2013-03-16T07:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4f9d7146c", "title": "Web Scraping 101 with Python", "url": "http://www.gregreda.com/2013/03/03/web-scraping-101-with-python/", "published_at": "2013-03-03T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4fa59d9ff", "title": "Translating SQL to Pandas, Part 1", "url": "http://www.gregreda.com/2013/01/23/translating-sql-to-pandas-part1/", "published_at": "2013-01-23T08:00:00+00:00" }, { "id": "01a0877f-2ba5-7366-bb37-f0f4fad9485e", "title": "Hello World", "url": "http://www.gregreda.com/2013/01/22/hello-world/", "published_at": "2013-01-22T08:00:00+00:00" } ] posts Claim your blog
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gregreda.com

2023

Prototyping a PDF Chatbot from Scratchoriginal ↗
26 Oct 2023
Django Command for FIT filesoriginal ↗
21 May 2023
Notes on using PyInstaller, poetry, and pyenvoriginal ↗
18 May 2023

2022

Assorted bits: 2022-12-09original ↗
9 Dec 2022
This One's For Meoriginal ↗
30 Nov 2022
Reviving this spaceoriginal ↗
18 Nov 2022

2021

Mocking an imported module-level function in Pythonoriginal ↗
28 Jun 2021

2020

Using Go and Twilio to monitor my emailoriginal ↗
11 Dec 2020
Deploying static sites with Github Actionsoriginal ↗
9 Dec 2020
newbird: a theme for pelicanoriginal ↗
25 Nov 2020
Scraping pages behind login formsoriginal ↗
17 Nov 2020
Feature Engineering with Time Gapsoriginal ↗
16 Feb 2020

2018

Lenny Dykstra, His Strike Zone, & Bayesian Statsoriginal ↗
8 Jul 2018
Hiring Data Scientistsoriginal ↗
4 Feb 2018

2017

My Experience as a Freelance Data Scientistoriginal ↗
7 Jan 2017

2016

[Talk] Data-Informed vs Data-Drivenoriginal ↗
20 Nov 2016
Asynchronous Scraping with Pythonoriginal ↗
16 Oct 2016

2015

Visualizing the 2015 NL Cy Young Raceoriginal ↗
19 Nov 2015
Cohort Analysis with Pythonoriginal ↗
23 Aug 2015
Nonsensical beer reviews via Markov chainsoriginal ↗
30 Mar 2015
Using Travis & GitHub to deploy static sitesoriginal ↗
26 Mar 2015
Web Scraping 201: finding the APIoriginal ↗
15 Feb 2015

2014

[Talk] Translating SQL to pandasoriginal ↗
22 Dec 2014
Scraping Craigslist for sold out concert ticketsoriginal ↗
27 Jul 2014
Principles of good data analysisoriginal ↗
23 Mar 2014
Finding the midpoint of film releasesoriginal ↗
23 Jan 2014

2013

3-pointers after offensive reboundsoriginal ↗
26 Dec 2013
Using pandas on the MovieLens datasetoriginal ↗
26 Oct 2013
Working with DataFramesoriginal ↗
26 Oct 2013
Intro to pandas data structuresoriginal ↗
26 Oct 2013
New theme for Pelicanoriginal ↗
24 Oct 2013
Useful Unix commands for data scienceoriginal ↗
15 Jul 2013
How random is JavaScript's Math.random()?original ↗
30 Jun 2013
Join vs Exists vs In (SQL)original ↗
3 Jun 2013
More web scraping with Python (and a map)original ↗
29 Apr 2013
Write online about what you loveoriginal ↗
16 Mar 2013
Web Scraping 101 with Pythonoriginal ↗
3 Mar 2013
Translating SQL to Pandas, Part 1original ↗
23 Jan 2013
Hello Worldoriginal ↗
22 Jan 2013