corpus.blog
56,966 blogs · [ { "id": "01a0e28a-276e-72eb-ad41-cf460261ae3c", "title": null, "url": "https://pbpython.com/python-word-template.html", "published_at": "2017-02-21T13:25:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bc938fc70", "title": null, "url": "https://pbpython.com/tag/word.html", "published_at": "2017-02-21T13:16:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4602fe15bd", "title": null, "url": "https://pbpython.com/categorical-encoding.html", "published_at": "2017-02-06T14:05:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bca2addb2", "title": null, "url": "https://pbpython.com/tag/scikit-learn.html", "published_at": "2017-02-06T13:56:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf46037f4fe9", "title": null, "url": "https://pbpython.com/analyze-this-fanduel.html", "published_at": "2017-01-17T14:10:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bca3f1ee4", "title": null, "url": "https://pbpython.com/tag/analyze-this.html", "published_at": "2017-01-17T14:01:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf460454e905", "title": null, "url": "https://pbpython.com/amortization-model-revised.html", "published_at": "2016-12-19T13:25:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4604d29b60", "title": null, "url": "https://pbpython.com/amortization-model.html", "published_at": "2016-11-21T13:25:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf46057a21fc", "title": null, "url": "https://pbpython.com/pandas-list-dict.html", "published_at": "2016-09-06T12:15:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4605bc83cd", "title": null, "url": "https://pbpython.com/altair-intro.html", "published_at": "2016-08-29T12:25:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4605bfc02a", "title": null, "url": "https://pbpython.com/analyze-this.html", "published_at": "2016-08-23T12:25:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4605d4353a", "title": null, "url": "https://pbpython.com/excel-filter-edit.html", "published_at": "2016-06-15T12:25:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bcad91f1f", "title": null, "url": "https://pbpython.com/tag/python.html", "published_at": "2016-05-16T13:16:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bcaff7ad0", "title": null, "url": "https://pbpython.com/tag/cases.html", "published_at": "2016-05-16T13:16:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4605eceb6a", "title": null, "url": "https://pbpython.com/case-studies.html", "published_at": "2016-05-16T12:25:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bcb20c6a6", "title": null, "url": "https://pbpython.com/tag/xlwings.html", "published_at": "2016-04-06T13:16:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4606aa7796", "title": null, "url": "https://pbpython.com/xlwings-pandas-excel.html", "published_at": "2016-04-06T12:25:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4606f2c9a6", "title": null, "url": "https://pbpython.com/weighted-average.html", "published_at": "2016-01-26T13:10:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4607a99ed9", "title": null, "url": "https://pbpython.com/plateau-of-productivity.html", "published_at": "2015-12-31T00:30:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bcc026327", "title": null, "url": "https://pbpython.com/tag/process.html", "published_at": "2015-12-31T00:21:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4607afea73", "title": null, "url": "https://pbpython.com/advanced-excel-workbooks.html", "published_at": "2015-12-07T13:25:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bccc61fb4", "title": null, "url": "https://pbpython.com/tag/xlsxwriter.html", "published_at": "2015-12-07T13:16:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf46082e721d", "title": null, "url": "https://pbpython.com/pandas-release-17.html", "published_at": "2015-10-26T12:45:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4608cc8967", "title": null, "url": "https://pbpython.com/pandas-gui.html", "published_at": "2015-09-14T12:10:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bccc725fe", "title": null, "url": "https://pbpython.com/tag/powerpoint.html", "published_at": "2015-08-17T13:01:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf46096bf5a4", "title": null, "url": "https://pbpython.com/creating-powerpoint.html", "published_at": "2015-08-17T12:10:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4609fcf1f4", "title": null, "url": "https://pbpython.com/best-practices.html", "published_at": "2015-07-13T12:10:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bcd379446", "title": null, "url": "https://pbpython.com/tag/google.html", "published_at": "2015-07-02T14:51:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bce159cf8", "title": null, "url": "https://pbpython.com/tag/oauth2.html", "published_at": "2015-07-02T14:51:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf460a7445ec", "title": null, "url": "https://pbpython.com/pandas-google-forms-part2.html", "published_at": "2015-07-02T14:00:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf460b53b3ac", "title": null, "url": "https://pbpython.com/pandas-google-forms-part1.html", "published_at": "2015-06-10T02:30:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bce45910f", "title": null, "url": "https://pbpython.com/tag/ipython.html", "published_at": "2015-05-17T21:21:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bcf3a49cc", "title": null, "url": "https://pbpython.com/tag/github.html", "published_at": "2015-05-17T21:21:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bcff0356e", "title": null, "url": "https://pbpython.com/tag/notebooks.html", "published_at": "2015-05-17T21:21:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf460b9971bd", "title": null, "url": "https://pbpython.com/github-notebooks-other-updates.html", "published_at": "2015-05-17T20:30:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf460c64f162", "title": null, "url": "https://pbpython.com/ipython-pandas-display-tips.html", "published_at": "2015-05-05T02:55:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf460c85e24a", "title": null, "url": "https://pbpython.com/improve-pandas-excel-output.html", "published_at": "2015-04-09T02:25:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bd05f9d71", "title": null, "url": "https://pbpython.com/tag/barnum.html", "published_at": "2015-03-24T02:19:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf460d109307", "title": null, "url": "https://pbpython.com/barnum.html", "published_at": "2015-03-24T01:28:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf460d600d19", "title": null, "url": "https://pbpython.com/pdf-reports.html", "published_at": "2015-02-16T23:25:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bd08767e9", "title": null, "url": "https://pbpython.com/tag/jinja.html", "published_at": "2015-02-16T23:16:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf460dbfc535", "title": null, "url": "https://pbpython.com/pandas-pivot-report.html", "published_at": "2015-02-03T00:15:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf460e07511a", "title": null, "url": "https://pbpython.com/visualization-tools-1.html", "published_at": "2015-01-21T01:35:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bd121883f", "title": null, "url": "https://pbpython.com/tag/ggplot.html", "published_at": "2015-01-21T01:26:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bd1cc9563", "title": null, "url": "https://pbpython.com/tag/pygal.html", "published_at": "2015-01-21T01:26:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf460e3f8cbc", "title": null, "url": "https://pbpython.com/web-scraping-mn-budget.html", "published_at": "2015-01-07T02:25:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bd21c0973", "title": null, "url": "https://pbpython.com/tag/beautifulsoup.html", "published_at": "2015-01-07T02:16:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf460ecc415b", "title": null, "url": "https://pbpython.com/pandas-pivot-table-explained.html", "published_at": "2014-12-29T13:10:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf460facf463", "title": null, "url": "https://pbpython.com/excel-file-combine.html", "published_at": "2014-12-18T03:20:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4610a17e55", "title": null, "url": "https://pbpython.com/excel-pandas-comp-2.html", "published_at": "2014-12-09T02:52:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4610e7733b", "title": null, "url": "https://pbpython.com/excel-pandas-comp.html", "published_at": "2014-12-01T00:35:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf4611687e74", "title": null, "url": "https://pbpython.com/waterfall-chart.html", "published_at": "2014-11-19T02:15:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bd2277dbd", "title": null, "url": "https://pbpython.com/tag/csv.html", "published_at": "2014-11-19T02:06:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bd2a44414", "title": null, "url": "https://pbpython.com/tag/matplot.html", "published_at": "2014-11-19T02:06:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf46118622c8", "title": null, "url": "https://pbpython.com/excel-diff-pandas.html", "published_at": "2014-11-09T20:07:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bba8e3c05", "title": null, "url": "https://pbpython.com/simple-graphing-pandas.html", "published_at": "2014-10-27T00:48:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bbade25d0", "title": null, "url": "https://pbpython.com/simple-data-analysis.html", "published_at": "2014-10-15T00:15:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bd348e012", "title": null, "url": "https://pbpython.com/tag/sets.html", "published_at": "2014-10-05T18:06:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bbb9e7601", "title": null, "url": "https://pbpython.com/data-analysis-with-sets.html", "published_at": "2014-10-05T17:15:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bd38828a8", "title": null, "url": "https://pbpython.com/tag/vcs.html", "published_at": "2014-09-27T17:06:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bd39d6201", "title": null, "url": "https://pbpython.com/tag/s3.html", "published_at": "2014-09-27T17:06:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bbbac3caa", "title": null, "url": "https://pbpython.com/pelican-config.html", "published_at": "2014-09-27T16:15:00+00:00" }, { "id": "01a0e28a-276f-7089-8107-075bbc6a0456", "title": null, "url": "https://pbpython.com/site-tech-1.html", "published_at": "2014-09-25T02:50:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf45dff66e27", "title": null, "url": "https://pbpython.com/pages/about-site.html", "published_at": "2014-09-18T01:50:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf45e0da9853", "title": null, "url": "https://pbpython.com/pages/go-live.html", "published_at": "2014-09-18T01:50:00+00:00" }, { "id": "01a0e28a-276e-72eb-ad41-cf45e0fc3578", "title": null, "url": "https://pbpython.com/pages/mailinglist.html", "published_at": "2012-08-08T05:00:00+00:00" } ] posts Claim your blog
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Blog · corpus.blog/blogs/pbpython.com/posts

Chris Moffitt

pbpython.com

2017

https://pbpython.com/python-word-template.htmloriginal ↗
21 Feb 2017
https://pbpython.com/tag/word.htmloriginal ↗
21 Feb 2017
https://pbpython.com/categorical-encoding.htmloriginal ↗
6 Feb 2017
https://pbpython.com/tag/scikit-learn.htmloriginal ↗
6 Feb 2017
https://pbpython.com/analyze-this-fanduel.htmloriginal ↗
17 Jan 2017
https://pbpython.com/tag/analyze-this.htmloriginal ↗
17 Jan 2017

2016

https://pbpython.com/amortization-model-revised.htmloriginal ↗
19 Dec 2016
https://pbpython.com/amortization-model.htmloriginal ↗
21 Nov 2016
https://pbpython.com/pandas-list-dict.htmloriginal ↗
6 Sept 2016
https://pbpython.com/altair-intro.htmloriginal ↗
29 Aug 2016
https://pbpython.com/analyze-this.htmloriginal ↗
23 Aug 2016
https://pbpython.com/excel-filter-edit.htmloriginal ↗
15 Jun 2016
https://pbpython.com/tag/python.htmloriginal ↗
16 May 2016
https://pbpython.com/tag/cases.htmloriginal ↗
16 May 2016
https://pbpython.com/case-studies.htmloriginal ↗
16 May 2016
https://pbpython.com/tag/xlwings.htmloriginal ↗
6 Apr 2016
https://pbpython.com/xlwings-pandas-excel.htmloriginal ↗
6 Apr 2016
https://pbpython.com/weighted-average.htmloriginal ↗
26 Jan 2016

2015

https://pbpython.com/plateau-of-productivity.htmloriginal ↗
31 Dec 2015
https://pbpython.com/tag/process.htmloriginal ↗
31 Dec 2015
https://pbpython.com/advanced-excel-workbooks.htmloriginal ↗
7 Dec 2015
https://pbpython.com/tag/xlsxwriter.htmloriginal ↗
7 Dec 2015
https://pbpython.com/pandas-release-17.htmloriginal ↗
26 Oct 2015
https://pbpython.com/pandas-gui.htmloriginal ↗
14 Sept 2015
https://pbpython.com/tag/powerpoint.htmloriginal ↗
17 Aug 2015
https://pbpython.com/creating-powerpoint.htmloriginal ↗
17 Aug 2015
https://pbpython.com/best-practices.htmloriginal ↗
13 Jul 2015
https://pbpython.com/tag/google.htmloriginal ↗
2 Jul 2015
https://pbpython.com/tag/oauth2.htmloriginal ↗
2 Jul 2015
https://pbpython.com/pandas-google-forms-part2.htmloriginal ↗
2 Jul 2015
https://pbpython.com/pandas-google-forms-part1.htmloriginal ↗
10 Jun 2015
https://pbpython.com/tag/ipython.htmloriginal ↗
17 May 2015
https://pbpython.com/tag/github.htmloriginal ↗
17 May 2015
https://pbpython.com/tag/notebooks.htmloriginal ↗
17 May 2015
https://pbpython.com/github-notebooks-other-updates.htmloriginal ↗
17 May 2015
https://pbpython.com/ipython-pandas-display-tips.htmloriginal ↗
5 May 2015
https://pbpython.com/improve-pandas-excel-output.htmloriginal ↗
9 Apr 2015
https://pbpython.com/tag/barnum.htmloriginal ↗
24 Mar 2015
https://pbpython.com/barnum.htmloriginal ↗
24 Mar 2015
https://pbpython.com/pdf-reports.htmloriginal ↗
16 Feb 2015
https://pbpython.com/tag/jinja.htmloriginal ↗
16 Feb 2015
https://pbpython.com/pandas-pivot-report.htmloriginal ↗
3 Feb 2015
https://pbpython.com/visualization-tools-1.htmloriginal ↗
21 Jan 2015
https://pbpython.com/tag/ggplot.htmloriginal ↗
21 Jan 2015
https://pbpython.com/tag/pygal.htmloriginal ↗
21 Jan 2015
https://pbpython.com/web-scraping-mn-budget.htmloriginal ↗
7 Jan 2015
https://pbpython.com/tag/beautifulsoup.htmloriginal ↗
7 Jan 2015

2014

https://pbpython.com/pandas-pivot-table-explained.htmloriginal ↗
29 Dec 2014
https://pbpython.com/excel-file-combine.htmloriginal ↗
18 Dec 2014
https://pbpython.com/excel-pandas-comp-2.htmloriginal ↗
9 Dec 2014
https://pbpython.com/excel-pandas-comp.htmloriginal ↗
1 Dec 2014
https://pbpython.com/waterfall-chart.htmloriginal ↗
19 Nov 2014
https://pbpython.com/tag/csv.htmloriginal ↗
19 Nov 2014
https://pbpython.com/tag/matplot.htmloriginal ↗
19 Nov 2014
https://pbpython.com/excel-diff-pandas.htmloriginal ↗
9 Nov 2014
https://pbpython.com/simple-graphing-pandas.htmloriginal ↗
27 Oct 2014
https://pbpython.com/simple-data-analysis.htmloriginal ↗
15 Oct 2014
https://pbpython.com/tag/sets.htmloriginal ↗
5 Oct 2014
https://pbpython.com/data-analysis-with-sets.htmloriginal ↗
5 Oct 2014
https://pbpython.com/tag/vcs.htmloriginal ↗
27 Sept 2014
https://pbpython.com/tag/s3.htmloriginal ↗
27 Sept 2014
https://pbpython.com/pelican-config.htmloriginal ↗
27 Sept 2014
https://pbpython.com/site-tech-1.htmloriginal ↗
25 Sept 2014
https://pbpython.com/pages/about-site.htmloriginal ↗
18 Sept 2014
https://pbpython.com/pages/go-live.htmloriginal ↗
18 Sept 2014

2012

https://pbpython.com/pages/mailinglist.htmloriginal ↗
8 Aug 2012
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