Golang Warsaw #54Golang Warsaw #54 26 October 2023 – 18:30 7N, Puławska 182, WarszawaHostSponsorsAgenda 1. Go-first End to End Tests for Highly Stateful Features - Kuba Martin 2. Break / Your announcements (OpenSource com, wbarczynski@gmail.com Twitter/X: @golangwaw Slides: github.com/golangpoland/meetup_golang_warsaw Job Board: facebook.com/groups/golangpolandjobsQuestions? Join channel #poland on gophers.slack0 码力 | 7 页 | 833.54 KB | 6 月前3
Golang Warsaw #53Golang Warsaw #53 20 September 2023 – 18:30 Connectis_ (Varso Place), Chmielna 71, WarszawaHostSponsorsAgenda 1. Transitioning to Go - Robert Pajak 2. Break / Your announcements (OpenSource, event com, wbarczynski@gmail.com Twitter/X: @golangwaw Slides: github.com/golangpoland/meetup_golang_warsaw Job Board: facebook.com/groups/golangpolandjobsQuestions? Join channel #poland on gophers.slack0 码力 | 8 页 | 821.41 KB | 5 月前3
7 Years of Talking to People: The Importance of Giving Talks in Golang Warsaw #59people it's more important to give a talk than to do it well Jakub Daligapart 0: who am IGolang Warsaw #12 (29.06.2017) Jakub Daliga - GraphQL w Go (PL)notable experience ~9 years of professional programming smallest: 3 people largest: 100k+ people working with people from 3 continents 5 talks given on Golang Warsaw (this is 6th) co-organizing the eventthis talk part 0: who am I part 1: philosophical outlook0 码力 | 26 页 | 3.20 MB | 6 月前3
IntroductionGolang Warsaw #52 30 August 2023 – 17:30 / 7N Puławska 182 - WarsawaSpeakers for September 1. Topics from software engineering to implement/use X in Golang app 2. Software engineering + tech leadership CommunityWhere to find us? Slack: #poland / #poland-warsaw Twitter: @golangwaw Slides: https://github.com/golangpoland/meetup_golang_warsaw Job Board: https://www.facebook.com/groups/golangpolandjobs0 码力 | 8 页 | 379.61 KB | 5 月前3
How to start a VC-backed startupHow to start a VC-backed startup Golang Warsaw #59 Jacek Migdal, July 10, 2024Jacek @ CEO and co-founder of Quesma. Database gateway. Seed startup with $2.5Mln funding. Previous, 10 years at Sumo the jungle if you were trained in a zoo ● Build something impressive: ○ Community: e.g. Golang Warsaw ○ Technology: e.g. side project ● Excellent execution in high ambiguity ● Be versatile; look around0 码力 | 32 页 | 7.43 MB | 6 月前3
pandas: powerful Python data analysis toolkit - 0.24.0Localization of nonexistent times will raise an error by default. In [2]: dti.tz_localize('Europe/Warsaw') NonExistentTimeError: 2015-03-29 02:30:00 Transform nonexistent times to NaT or shift the times 03:30:00', '2015-03-29 04:30:00'], dtype='datetime64[ns]', freq='H') In [455]: dti.tz_localize('Europe/Warsaw', nonexistent='shift_forward') \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ 03:30:00+02:00', '2015-03-29 04:30:00+02:00'], dtype='datetime64[ns, Europe/Warsaw]', freq='H') In [456]: dti.tz_localize('Europe/Warsaw', nonexistent='shift_backward') \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\0 码力 | 2973 页 | 9.90 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0.0Localization of nonexistent times will raise an error by default. In [2]: dti.tz_localize('Europe/Warsaw') NonExistentTimeError: 2015-03-29 02:30:00 Transform nonexistent times to NaT or shift the times tz_localize('Europe/Warsaw', nonexistent='shift_forward') Out[454]: DatetimeIndex(['2015-03-29 03:00:00+02:00', '2015-03-29 03:30:00+02:00', '2015-03-29 04:30:00+02:00'], dtype='datetime64[ns, Europe/Warsaw]', freq='H') freq='H') In [455]: dti.tz_localize('Europe/Warsaw', nonexistent='shift_backward') Out[455]: DatetimeIndex(['2015-03-29 01:59:59.999999999+01:00', '2015-03-29 03:30:00+02:00', '2015-03-29 04:30:00+02:00']0 码力 | 3015 页 | 10.78 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.25.0Localization of nonexistent times will raise an error by default. In [2]: dti.tz_localize('Europe/Warsaw') NonExistentTimeError: 2015-03-29 02:30:00 Transform nonexistent times to NaT or shift the times 03:30:00', '2015-03-29 04:30:00'], dtype='datetime64[ns]', freq='H') In [454]: dti.tz_localize('Europe/Warsaw', nonexistent='shift_forward') \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ 03:30:00+02:00', '2015-03-29 04:30:00+02:00'], dtype='datetime64[ns, Europe/Warsaw]', freq='H') In [455]: dti.tz_localize('Europe/Warsaw', nonexistent='shift_backward') \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\0 码力 | 2827 页 | 9.62 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.25.1Localization of nonexistent times will raise an error by default. In [2]: dti.tz_localize('Europe/Warsaw') NonExistentTimeError: 2015-03-29 02:30:00 Transform nonexistent times to NaT or shift the times 03:30:00', '2015-03-29 04:30:00'], dtype='datetime64[ns]', freq='H') In [454]: dti.tz_localize('Europe/Warsaw', nonexistent='shift_forward') \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ 03:30:00+02:00', '2015-03-29 04:30:00+02:00'], dtype='datetime64[ns, Europe/Warsaw]', freq='H') In [455]: dti.tz_localize('Europe/Warsaw', nonexistent='shift_backward') \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\0 码力 | 2833 页 | 9.65 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.0Localization of nonexistent times will raise an error by default. In [2]: dti.tz_localize('Europe/Warsaw') NonExistentTimeError: 2015-03-29 02:30:00 Transform nonexistent times to NaT or shift the times tz_localize('Europe/Warsaw', nonexistent='shift_forward') Out[454]: DatetimeIndex(['2015-03-29 03:00:00+02:00', '2015-03-29 03:30:00+02:00', '2015-03-29 04:30:00+02:00'], dtype='datetime64[ns, Europe/Warsaw]', freq='H') freq='H') In [455]: dti.tz_localize('Europe/Warsaw', nonexistent='shift_backward') Out[455]: DatetimeIndex(['2015-03-29 01:59:59.999999999+01:00', '2015-03-29 03:30:00+02:00', '2015-03-29 04:30:00+02:00']0 码力 | 3091 页 | 10.16 MB | 1 年前3
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