What we're about

Welcome! Boston Python is one of the largest local Python user groups in the world. Meet other local Python developers, learners, employers (https://www.meetup.com/bostonpython/sponsors/), and enthusiasts of all kinds. All skill levels are welcome: if you are interested in Python, we are interested in you! We have a code of conduct (https://about.bostonpython.com/code-of-conduct) to ensure that everyone stays happy and productive.

We have great regular events:

Monthly presentation series: these are longish presentations (about an hour) about topics of interest to the community. Often we also have lightning talks (5-15 minutes) also. If you have something you'd like to share with everyone, drop a line to the organizers!

Monthly informal project nights: these are a chance to sit down with other Python developers of all experience levels to push your project forward, get help with a particular trouble spot, share expertise, or do whatever else you like.

In addition to meeting face-to-face, we have a few other ways to stay connected:

• Slack: https://about.bostonpython.com/slack

• Twitter as @bostonpython

Job postings on the Meetup.com mailing list are OK, as long as they meet the Job Posting Requirements (https://about.bostonpython.com/jobs).

If you'd like to help financially, you can make a tax-deductible contribution at donate.bostonpython.com. (http://donate.bostonpython.com)

Upcoming events (1)

Simon Willison: Personal analytics with SQLite and Datasette

A special guest speaker online for July! Simon Willison is a long-time Python creator. His latest big project is Datasette (https://github.com/simonw/datasette/), a tool for exploring and publishing data. Lightning talks: have you used Datasette, or done other data hacks? Want to do a lightning talk? Send me an email: [masked] Dogsheep: Personal analytics with SQLite and Datasette Big internet companies collect a bewildering array of data about us - and thanks to the European GDPR law they all have to provide an export button to let us get it back out again. Converting these exports into SQLite databases lets us start exploring them with Datasette. I've been building a suite of open source tools, called Dogsheep, to gather my personal data from a variety of different sources and analyze them in one place. I'll demonstrate my personal Dogsheep and show how it combines data from Twitter, GitHub, Facebook, Google, LinkedIn, Foursquare, Apple Health and more to provide a searchable archive of my digital lifestyle.

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