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Add activities section with events, podcast, webinars, workshops, and more
- Create activities section with overview of all community events - Add podcast, webinars, workshops pages with YouTube playlist links - Add book of the week page (currently on hold) - Restructure open-source spotlight with notes for guests - Add project of the week with running instructions - Link to Luma, Google calendar, YouTube channel, and courses
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‎activities/book-of-the-week.md‎

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---
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title: "Book of the Week"
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layout: default
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nav_order: 4
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parent: Activities
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---
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# Book of the week
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Each week we invite a book author to DataTalks.Club to answer questions about their book and the topic it covers.
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This activity is currently on hold. If you know a book author who'd like to participate, reach out to Alexey Grigorev.
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Archive of past book discussions: [datatalks.club/books.html](https://datatalks.club/books.html)
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## How it works
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- Join the [`#book-of-the-week`](https://app.slack.com/client/T01ATQK62F8/C01H403LKG8) channel in Slack
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- Ask as many questions as you'd like
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- The book authors answer questions from Monday till Thursday
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- On Friday, the authors decide who wins free copies of their book

‎activities/index.md‎

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---
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title: "Activities"
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layout: default
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nav_order: 5
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has_children: true
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---
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# Activities
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We host multiple types of events and activities to help you learn and connect with the data science community.
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All upcoming and past events: [datatalks.club/events.html](https://datatalks.club/events.html)
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All events are published on our [YouTube channel](https://www.youtube.com/c/datatalksclub). Subscribe to our events on [Luma](https://luma.com/dtc-events) or add [our Google calendar](https://calendar.google.com/calendar/?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ) to get notified (calendar subscription works from desktop only).
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## Events
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- [Podcast]({{ '/activities/podcast/' | relative_url }}) - live conversations with data science practitioners, published as podcast episodes
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- [Webinars]({{ '/activities/webinars/' | relative_url }}) - technical talks with slides
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- [Workshops]({{ '/activities/workshops/' | relative_url }}) - hands-on tutorials about technical topics
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## Courses
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We also run free online courses (zoomcamps) on data engineering, machine learning, MLOps, LLMs, and more. See the [courses section]({{ '/courses/' | relative_url }}) for details, or read our [guide to free online courses](https://datatalks.club/blog/guide-to-free-online-courses-at-datatalks-club.html).
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## Other activities
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- [Book of the Week]({{ '/activities/book-of-the-week/' | relative_url }}) - book authors answer community questions (currently not very active)
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- [Open-Source Spotlight]({{ '/activities/open-source-spotlight/' | relative_url }}) - short demos of open-source tools by their authors
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- [Project of the Week]({{ '/activities/project-of-the-week/' | relative_url }}) - learn-by-doing study groups (currently inactive)

‎activities/open-source-spotlight.md‎

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---
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title: "Open-Source Spotlight"
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layout: default
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nav_order: 5
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parent: Activities
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---
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# Open-source spotlight
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We invite open-source authors to record a short demo of their tool. The format is a 15-20 minute video where the author shows what the tool does, followed by a few questions.
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- [YouTube playlist](https://www.youtube.com/playlist?list=PL3MmuxUbc_hJ5t5nnjzC0F2zan76Dpsz0) - recordings
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If you'd like to showcase your open-source project, reach out to Alexey Grigorev.
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## Notes for guests
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Please don't prepare slides - it's best when we jump into a demo directly.
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### Plan
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- Intro, some info about you and about the tool (1-2 minutes)
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- "Welcome to Open-Source Spotlight. We invite open-source authors and ask them to show the tools they're working on. Today we have NAME. Hi NAME, tell us a few words about yourself and about the tool you want to show us."
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- The demo
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- Questions (3-4 minutes):
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- How many people are working on it?
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- How can people contribute?
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- What are your plans?
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- Advice to anyone who's watching this (1 minute)
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We should aim at 15-20 minutes for the entire video. If it's longer, then it's more likely that people won't watch it.
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After the video, please send me:
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- Link to your GitHub repo and documentation
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- Everything else you'd like to add to the description
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### Preparation tips
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Make sure the font size is large enough (the default size is always too small).
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- Prepare your browser, the terminal and your IDE - and other things you want to share
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- Good rule of thumb: the text should be visible on YouTube on 13" laptop screens without people having to go full-screen
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Good examples:
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- [https://youtu.be/YwjauyAflmc?t=1707](https://youtu.be/YwjauyAflmc?t=1707)
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- [https://youtu.be/hCAIVe9N0ow?t=65](https://youtu.be/hCAIVe9N0ow?t=65)
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Examples where font could be larger:
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- [https://youtu.be/UVI30Vxzd6c?t=962](https://youtu.be/UVI30Vxzd6c?t=962)
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- [https://youtu.be/vzoYhI8KTlY?t=425](https://youtu.be/vzoYhI8KTlY?t=425)

‎activities/podcast.md‎

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---
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title: "Podcast"
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layout: default
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nav_order: 1
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parent: Activities
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---
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# Podcast
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Live events where we invite data science practitioners, ML engineers, and AI researchers to share their experience. No slides - just a conversation between the guest and the host.
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Everyone who joins the live broadcast can ask questions, and we cover them as we go. After the live event, the recording is published as a podcast episode on audio platforms like Spotify and Apple Podcasts. Transcripts and show notes are available on our website.
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- [YouTube playlist](https://www.youtube.com/playlist?list=PL3MmuxUbc_hK60wsCyvrEK2RjQsUi4Oa_) - video recordings
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- [All episodes](https://datatalks.club/podcast.html) - transcripts and show notes
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- [Upcoming events](https://datatalks.club/events.html) - register for live broadcasts

‎activities/project-of-the-week.md‎

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---
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title: "Project of the Week"
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layout: default
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nav_order: 6
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parent: Activities
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---
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# Project of the week
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Project of the week is a study group with focus on building things and learning by doing. Every day we have a set of tasks. We finish them together and hold each other accountable.
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This activity is currently not active. If you'd like to organize a project of the week, reach out to Alexey Grigorev.
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GitHub repository: [DataTalksClub/project-of-the-week](https://github.com/DataTalksClub/project-of-the-week)
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## How to take part
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- Join the [`#project-of-the-week`](https://app.slack.com/client/T01ATQK62F8/C02BP4FQH36) channel in Slack
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- Come to the channel every day to see the tasks
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- Learn together
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- Share your progress on social media using #ProjectOfTheWeek
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[Intro video](https://www.loom.com/share/05b9e07f288f492bb15c4b61cdf6db6c)
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## Past projects
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- Docker
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- Python package
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- Getting started with Rust
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- Getting started with Julia
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- GitHub Actions
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- FastAPI
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- Recommender systems
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- Clustering
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- Streamlit frontend for ML
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See the full list with details in the [GitHub repository](https://github.com/DataTalksClub/project-of-the-week).
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Have other ideas? Suggest them in the [`#project-of-the-week`](https://app.slack.com/client/T01ATQK62F8/C02BP4FQH36) channel.
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## Running the activity
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Instructions for organizers on how to run the project of the week activity.
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Video explaining how to make announcements in Slack:
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[https://www.loom.com/share/6c20612326ff4d38a2be6f993b0b804b](https://www.loom.com/share/6c20612326ff4d38a2be6f993b0b804b)
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Schedule messages at 3:00 PM CET for every day.
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### First message template
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> Hi everyone :wave:
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>
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> Welcome to project of the week! This week we will learn about recommender systems
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>
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> You can find more details here: <link>
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>
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> Plan for today:
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>
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> - Come up with a project idea.
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> - Select the dataset for your project.
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> - Create a GitHub project.
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> - Share your progress on Slack and in social media.
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### Template for other days
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> Hi everyone :wave:
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>
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> Welcome to second day of project of the week.
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>
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> Today we will start learning about <topic>.
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>
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> Hope you all have selected the dataset to use.
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>
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> Plan for today:
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>
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> - Point 1
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> - Point 2
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> - ...
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>
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> Suggested materials:
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>
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> - thing 1
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> - thing 2
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>
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> You will find all the details here: <link>

‎activities/webinars.md‎

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title: "Webinars"
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layout: default
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nav_order: 2
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parent: Activities
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---
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# Webinars
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Talks with slides on topics like data engineering, machine learning, MLOps, AI tools, and more. The main part is the presentation, followed by Q&A. Webinars are typically 60 minutes.
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- [YouTube playlist](https://www.youtube.com/playlist?list=PL3MmuxUbc_hKPx7yVcu-9aAJxkCe8y_Ld) - recordings
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- [Upcoming and past webinars](https://datatalks.club/events.html)

‎activities/workshops.md‎

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title: "Workshops"
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layout: default
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nav_order: 3
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parent: Activities
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---
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# Workshops
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Hands-on sessions with minimal slides and maximum practice. We pick a specific problem and solve it together throughout the session. Workshops are typically 90 minutes - longer than other events - so people walk away having learned something new by doing it themselves.
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- [YouTube playlist](https://www.youtube.com/playlist?list=PL3MmuxUbc_hKXoe5VllAqUa0nTp0k9Mbl) - recordings
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- [Upcoming and past workshops](https://datatalks.club/events.html)

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