From jorisvandenbossche at gmail.com Wed May 12 08:23:43 2021 From: jorisvandenbossche at gmail.com (Joris Van den Bossche) Date: Wed, 12 May 2021 14:23:43 +0200 Subject: [Pandas-dev] May 2021 monthly community meeting (Wednesday May 12, UTC 18:00) Message-ID: Hi all, A reminder that the next monthly dev call is today (Wednesday, May 12th) at 18:00 UTC (1 pm Central). Our calendar is at https://pandas.pydata.org/docs/development/meeting.html#calendar to check your local time. All are welcome to attend! Video Call: https://zoom.us/j/96753852910?pwd=OEgwbUkwOE9kejcwOGdLd09TallTdz09 (I won't be able to attend myself this evening, but the meeting link should work without me being present) Minutes: https://docs.google.com/document/u/1/d/1tGbTiYORHiSPgVMXawiweGJlBw5dOkVJLY-licoBmBU/edit?ouid=102771015311436394588&usp=docs_home&ths=true Joris -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorisvandenbossche at gmail.com Sun May 30 06:04:05 2021 From: jorisvandenbossche at gmail.com (Joris Van den Bossche) Date: Sun, 30 May 2021 12:04:05 +0200 Subject: [Pandas-dev] Understanding Our Contributors - NumFOCUS survey In-Reply-To: References: Message-ID: Hi all, NumFOCUS , our fiscal sponsorship organization, is conducting a research project looking into understanding the diversity, inclusion and barriers to participation within NumFOCUS-sponsored projects and the wider open source community. The survey will take 15-20 min to complete. We?d appreciate your contribution by May 31, 2021. The results of this survey will help NumFOCUS work closely with our projects to develop practices that will lead to project success around diversity, inclusion and sustainability. Click here to participate in the survey Thank you for your participation! -------------- next part -------------- An HTML attachment was scrubbed... URL: From gbalaji20002000 at gmail.com Mon May 31 06:34:19 2021 From: gbalaji20002000 at gmail.com (Balaji G) Date: Mon, 31 May 2021 16:04:19 +0530 Subject: [Pandas-dev] Issues in Understanding Pandas Dataframe Objects Message-ID: Hello everyone, I need to understand how dtype object, and the dataframe slicing feature has been implemented in Pandas. Like the logic specifically. Is there any source to understand how the dtype object or data frame slicing is implemented internally?? . I understand that reading the source code on github could help. But any other suggestions? Kind regards BALAJI -------------- next part -------------- An HTML attachment was scrubbed... URL: