links

https://neal.fun

1. Periodic Table of Elements.csv

2. Gitbook

Courses

• Missing Semester

• Social and Economic Networks (Bowdoin)

• Principles of Programming Language (Bowdoin)

Education / Events

• Github Education

• Mozilla Festival

• Arduino Education

• NASA Robotics Competition

• International Aerial Competition

• Google Summer of Code

Data

• Food Deserts

• Bureau of Labor Statistics

• Our World in Data

• Opportunity Insights

• World Integrated Trade Solution

• Education D3 Visualization

• Flights Data

  • Kaggle Flights

  • Air Routes Github

  • Flights Github

  • Open Flights

  • Bureau of Transportation Statistics

Books

• Noam Nisan books

• Probabilistic Machine Learning: Advanced Topics

• Probabilistic Machine Learning

• Handbook to Digital Humanities

• Handbook to Digital Humanities 2

• Cracking the Coding Interview

• Source Academy

• Composing Programs

CSC-272

Dive into Deep Learning

1. Pandas - W3Schools

2. Sci-kit learn user guide

3. MIT Regressions Documentary

4. Mining Massive Data Sets

5. Journal of Computing Sciences in Colleges

6. GPT detectors are biased against non-native English writers

CSC-121

1. RISE

2. IEEE Software Journal

   • IEEE Software Magazine

3. Computer Programming as an Art - Don Knuth

4. Git cheat sheet

5. Parallel Edge Splatting for Scalable Dynamic Graph Visualization

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1. Senior Seminar - Pomona College

2. Every programmer should know

3. Python Data Science Handbook

4. Laurie Frick

5. ACM CHI 2023

6. BLS Data

7. Trends in AI - Human Centered AI Lab, Stanford

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1. Intro to CS - Swartmore

2. Algorithmic Bias - Wikipedia

3. Important Publications in CS - Wikipedia

4. James V. Stone books on Amazon

5. Project Rosalind

6. Bitcoin book

7. ACM Computing Surveys

8. Structure of Scientific Revolutions

9. Stripe Press

10. Reinforcement Learning in 60 days

11. Calculus Made Easy

12. Bitcoin Book

13. What every computer scientist should know about floating-point arithmetic

https://www.thunderchunky.co.uk/wp-content/uploads/2007/05/eboy-peecol.gif

1. Manim

   https://github.com/3b1b/videos/blob/master/_2023/numberphile/prime_race.py

2. Google Summer of Code

3. Movie Lens

4. Hans Eijkelboom

   https://timeline.com/hans-eijkelboom-photo-fashion-75ca9911518c

   https://www.phaidon.com/store/photography/people-of-the-twenty-first-century-9780714867151/

   https://www.amazon.com/Hans-Eijkelboom-People-Twenty-First-Century/dp/0714867152#customerReviews

   https://www.technologyreview.com/2019/02/28/136854/the-hipster-effect-why-anti-conformists-always-end-up-looking-the-same/

5. https://addc401fall2016.files.wordpress.com/2016/08/rushkoff-program-or-be-programmed.pdf

6. Software Bugs

• https://arstechnica.com/tech-policy/2018/05/report-software-bug-led-to-death-in-ubers-self-driving-crash/

• https://www.geeksforgeeks.org/10-famous-bugs-in-the-computer-science-world/

• https://en.wikipedia.org/wiki/Therac-25

• https://hackaday.com/2015/10/26/killed-by-a-machine-the-therac-25/

1. NeuroDesk

2. Neuroscience Course - Bates

3. Histomap

4. Computational Neuroscience

   https://www.amazon.com/s?k=Computational+Neuroscience+greene&crid=2A0HWSUM3E5LI&sprefix=computational+neuroscience+greene%2Caps%2C121&ref=nb_sb_noss

   https://n.neurology.org/content/92/15_Supplement/P2.9-036

   https://scholar.google.com/citations?hl=en&user=ZdC-f3wAAAAJ&view_op=list_works&sortby=pubdate

   https://mrgreene09.github.io/computational-neuroscience-textbook/index.html#this-book-is-free-as-in-pizza

   https://www.bates.edu/neuroscience/academics/neuroscience-courses/

   https://github.com/search?q=mrgreene09

   https://www.furman.edu/academics/neuroscience/program-overview/neuroscience/

   https://catalog.furman.edu/preview_entity.php?catoid=13&ent_oid=480&returnto=573

   https://github.com/mrgreene09/BatesComputationalNeuroscience_2020/tree/master/classNotebooks

https://www.bio.tamu.edu/wp-content/uploads/2020/11/google_forms_for_polls.pdf

https://www.google.com/forms/about/

https://docs.google.com/forms/u/0/?tgif=d

https://docs.google.com/forms/d/e/1FAIpQLSdQ0ETdxLGUqhhpBMQp2JeALSeo7B4XMcw_6EgtEQNebAPCaQ/viewform

Papers with Code

https://mobile.twitter.com/paperswithcode

https://paperswithcode.com/datasets?page=2

https://paperswithcode.com/top-social

https://github.com/cube-js/awesome-tools

https://dblp.org/db/conf/visualization/visualization2020.html

https://www.vecteezy.com/vector-art/5005080-web-layout-programming-language

https://markdowntohtml.com

https://www.amazon.com/dp/013409266X/ref=redir_mobile_desktop?encoding=UTF8&psc=1&ref=ox_sc_act_image_1&smid=A2L77EE7U53NWQ

https://github.com/norvig/pytudes#pytudes-index-of-jupyter-ipython-notebooks

https://www.amazon.com/Drawing-Line-Immoral-Artists-Museums/dp/019753757X/#aw-udpv3-customer-reviews_feature_div

https://www.nytimes.com/2022/11/13/books/qatar-world-cup-books.html

https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb#scrollTo=K-NVg7RjyeTk

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=5KXpoXsAAAAJ&sortby=pubdate&citation_for_view=5KXpoXsAAAAJ:WF5omc3nYNoC

https://www.google.com/search?q=When+McKinsey+Comes+to+Town&rlz=1CDGOYI_enUS976US976&oq=When+McKinsey+Comes+to+Town&aqs=chrome..69i57.3201j0j4&hl=en-US&sourceid=chrome-mobile&ie=UTF-8

https://store.wolfram.com/arrive.cgi?URI=/view/misc/#nks-poster

https://www.google.com/search?q=textbook+where+you+create+your+own+operating+system&rlz=1CDGOYI_enUS976US976&hl=en-US&sxsrf=ALiCzsYtfsW8EdMrXtfA-MB7M7KJgtdhQ%3A1659483227714&ei=W7TpYpmPK-iqtsP6-6tgA4&oq=textbook+where+you+create+your+own+operati&gs_lcp=ChNtb2JpbGUtZ3dzLXdpei1zZXJwEAEYADIFCCEQoAEyBQghEKABMgUIIRCgATIFCCEQoAEyCAghEB4QFhAdMggIIRAeEBYQHTIICCEQHhAWEB06BwgAEEcQsAM6BQghEKsCSgQIQRgAUIsRWIQ1YMdLaAFwAngAgAHpAYgBiBKSAQYxLjE1LjGYAQCgAQHIAQjAAQE&sclient=mobile-gws-wiz-serp

https://mark-kramer.github.io/Case-Studies-Python/08.html#onramp

https://dl.acm.org/doi/fullHtml/10.1145/3565516.3565523

https://necromuralist.github.io/Neurotic-Networking/posts/nlp/parts-of-speech-tagging-hidden-markov-model/#org0fb6529

https://mitpress.mit.edu/9780262546379/the-little-learner/

https://www.uncommongoods.com/checkout/cart

https://www.cambridge.org/core/browse-subjects/computer-science/listing?sort=canonical.date%3Adesc&aggs%5BproductTypes%5D%5Bfilters%5D=BOOK%2CELEMENT&aggs%5BproductDate%5D%5Bfilters%5D=Last%2012%20months&pageNum=2&searchWithinIds=A57E10708F64FB69CE78C81A5C2A6555

https://www.cambridge.org/us/academic/subjects/computer-science

https://mercuryconsortium.org/summary

https://www.google.com/search?q=github+bottle&tbm=isch&ved=2ahUKEwjgt82Jk_L7AhVPKFMKHWBjCo0Q2-cCegQIABAA&oq=github+bottle&gs_lcp=CgNpbWcQAzIGCAAQCBAeMgcIABCABBAYMgcIABCABBAYMgcIABCABBAYMgcIABCABBAYMgcIABCABBAYOgQIIxAnOgUIABCABDoICAAQgAQQsQM6BAgAEEM6BwgAELEDEEM6BAgAEB5QtgdYsh1grB5oAnAAeACAAaUBiAGQCZIBBDEzLjOYAQCgAQGqAQtnd3Mtd2l6LWltZ8ABAQ&sclient=img&ei=PhuWY-CgEs_QzALgxqnoCA&bih=803&biw=1512&client=safari#imgrc=vLKpUkIga8s9CM

https://link.springer.com/content/pdf/10.1007/978-1-84800-070-4.pdf?pdf=button