Comments (52)
I'll work on number 28 (Liz, excel)
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@SangamSwadiK and @TheSunnyDev
I have added your GitHub handles to the respective video in the list above.
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I would like to do take 46.
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Working on Video 20 (Marcos, pandas)
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I could work on 17 (core python) and 37 (lux) ππ½ββοΈ
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I will work on event 29 (Sam, Intro to Jupyter + Pandas).
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17 is done! As Reshama will work on 37. I could continue with 16.
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I would like to do 15 (Emma, plotly) (***).
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I will work on 54 (Melissa, SciPy)
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@reshamas I added the timestamp for Melissaβs video. Kindly review.
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I will work on 5 next
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Working on 18 (streamlit)
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@reshamas I will work on 55a Intro to Django, Part 1: Intro to Python
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I will work next on 36 Mariatta.
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@reshamas I will work on 55c Intro to Django, Part 3: Building Your First Django Application
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I will work on a timestamp for 55b Intro to Django, Part 2
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I will work on 56 Short Stories of Data Visualization |
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@reshamas would event 3 Ty, webscraping be going into misc?
@thayeylolu Yes, that would go into /misc/ folder. I updated the issue at the top and added the link to the file where the timestamps should go into.
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I want to prepare timestamps for 08 Matt, missing data
Great video - learned a lot (imputation, MCAR, MAR, NMAR, ...) and added the timestamps: #132
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@reshamas Hi ! Can I do the timestamps for "Nidhin Pattaniyil and Vishal Rathi: Serving PyTorch Models in Production" ?
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Hello, I will work on the timestamps for video 61a Intro to React, Part 1 with Joe T.
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Hi, I can work on timestamps for Intro to React, Part 2 (61b)
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Hi, I would like to work on video 63 Software Testing by Eric Ma --- 2022/63-eric-testing.md
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Hi ! Would like to work on How you can contribute to pandas --- 2023/72-marco-pandas.md Event no: 72 Please assign it to me.
Thanks!
Thanks @SangamSwadiK. You can say you are working on it here, and that's sufficient.
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Hello Team, I would like to work on 66 - Contributing to fastai β¨.
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@reshamas Has today's Scipy recording with Melissa been uploaded to the youtube channel?
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@reshamas I will work on 12 (Mridu, bot) during the weekend. What do the triple asterisks in some tasks mean? I also left a question for you in #107. #107 (comment)
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@thayeylolu The asterisks (***) mean that these videos are higher in popularity, and it would be helpful to do their timestamps before others.
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I will work on 3 during the week
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Hi, I will do timestamps for : 58 Contributing to Wikimedia
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@reshamas Hi ! Can I do the timestamps for "Nidhin Pattaniyil and Vishal Rathi: Serving PyTorch Models in Production" ?
@SangamSwadiK Thank you, I added your name to the issue next to the video.
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@reshamas Hi ! Can I do the timestamps for "Nidhin Pattaniyil and Vishal Rathi: Serving PyTorch Models in Production" ?
@SangamSwadiK Thank you, I added your name to the issue next to the video.
@SangamSwadiK Are you still working on adding timestamps for the PyTorch video?
Hey, @reshamas I've done 3/4ths I'll submit it by tomorrow. Sorry for the delay.
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Now that I've finished 61b, I'd like to work on 61c Intro to React, Part 3.
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Hi ! Would like to work on How you can contribute to pandas --- 2023/72-marco-pandas.md
Event no: 72
Please assign it to me.
Thanks!
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Hello,
I will work on video 79 [Shiny for Python] by Gordon Shotwell.
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Hi all! I will work on number 78 [MLOps ] by Sandra Yojana Meneses
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I will take 83 [Vicuna, OS LLM]
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Hi @reshamas, I would like to take 80 (NLP tasks for LLMs).
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Hi @reshamas, I would like to take 80 (NLP tasks for LLMs).
@greenhacks great, please let us know if you have any questions.
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@reshamas If possible, I'd like to take 65 (TensorFlow JS)
@greenhacks Go for it! I put your name on the issue list next to it.
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Hello @MillerNoa @Latte-X-sh @LucyJimenez
Thanks for offering to do the timestamps for the Django videos.
I hope it's not too confusing, but can you add the timestamps in here, it is one Markdown file for the 3 videos.
I added a separate timestamps section for each video.
(let's keep our fingers crossed to avoid merge-conflicts, but we'll work that out.)
https://github.com/data-umbrella/event-transcripts/blob/main/2022/55-joe-django.md
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@reshamas I will work on 12 (Mridu, bot) during the weekend. What do the triple asterisks in some tasks mean? I also left a question for you in #107. #107 (comment)
@thayeylolu Did you mean to submit a PR for [Event 12 Mridu, bot]? I don't see the PR submitted.
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Hi @reshamas, I iniitally created it in my forked repo version, I have created the PR in this repo. Let me know if there are issues with it. thanks!
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@reshamas would event 3 Ty, webscraping be going into misc?
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Hi @reshamas! I am going to work on "60 Building APIs with FastAPI" during the weekend.
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Hi @reshamas! I am going to work on "60 Building APIs with FastAPI" during the weekend.
@beebeckzzz Super! Thank you. Please let us know if you have any questions.
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@reshamas Hi ! Can I do the timestamps for "Nidhin Pattaniyil and Vishal Rathi: Serving PyTorch Models in Production" ?
@SangamSwadiK Thank you, I added your name to the issue next to the video.
@SangamSwadiK Are you still working on adding timestamps for the PyTorch video?
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Hi, I will do timestamps for : 58 Contributing to Wikimedia
@MillerNoa Are you still working on adding timestamps to the Contributing to Wikimedia video?
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Hi @reshamas! I am going to work on "60 Building APIs with FastAPI" during the weekend.
@beebeckzzz Super! Thank you. Please let us know if you have any questions.
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Hello,
I will work on video 79 [Shiny for Python] by Gordon Shotwell.
Hi @Ediebah
How are the timestamps going?
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@reshamas If possible, I'd like to take 65 (TensorFlow JS)
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Related Issues (20)
- Event list: add in date & video HOT 5
- Create transcript file for: [74] mitzi-brms event
- Create transcript file for: [75] estela-sales event HOT 1
- Create transcript file for: [76] sandra-mlops event
- Do timestamps for GSOC video HOT 1
- Create transcript file for: [78] jeff-pyomo event
- Create transcript file for: [78] Gordon-shiny event HOT 2
- [event 80] create transcript for LLM event
- [event 81] create transcript for ImageIo event HOT 1
- [event 82] create transcript for FluxML and ML in Julia HOT 1
- #79 GordonShotwell-Create a Python Web App Using Shiny HOT 2
- [78] MLOps: from Concept to Product (Sandra Yojana Meneses) HOT 3
- Create transcript file for: [83] ying Vicuna
- Create transcript file for Tom-quarto event HOT 1
- Do timestamps for Quarto video
- Create Transcript file for Kavengi: Yellowbrick
- [Event 86] Create transcript file for Mitzi (COVID) talk HOT 1
- video 83 [Vicuna, OS LLM]: Timestamp for From Vicuna to Human-aligned Evaluation: Comparing Open Source Large Language Models
- #80 Solving NLP (Natural Language Processing) Tasks Using LLMs (Large Language Models) HOT 2
- [Video event 65] Machine Learning in JavaScript: An Introduction to TensorFlowJS HOT 1
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