Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/atgmello/awesome-articles
π¨βπ» Just a dump of cool/interesting articles I've read (or I'm just about to) and are worth saving.
https://github.com/atgmello/awesome-articles
List: awesome-articles
Last synced: 16 days ago
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π¨βπ» Just a dump of cool/interesting articles I've read (or I'm just about to) and are worth saving.
- Host: GitHub
- URL: https://github.com/atgmello/awesome-articles
- Owner: atgmello
- License: mit
- Created: 2021-02-07T21:26:06.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-02-16T23:49:57.000Z (almost 4 years ago)
- Last Synced: 2024-04-10T10:14:45.458Z (9 months ago)
- Size: 14.6 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- ultimate-awesome - awesome-articles - π¨βπ» Just a dump of cool/interesting articles I've read (or I'm just about to) and are worth saving. (Other Lists / PowerShell Lists)
README
# Table of Contents
1. [Programming](#orgf9c0541)
1. [General](#org908facd)
2. [Generative Art](#org614a2b8)
3. [Git](#org2cd696d)
4. [Functional Programming](#org12d6bf5)
5. [Distributed Systems](#org282ac98)
6. [Python](#orga0bdde4)
7. [Clojure](#orgb9fd86c)
8. [Swift](#org049fd6f)
9. [Databases](#org8f9afde)
10. [Web](#org1ada502)
11. [Funny](#org4685e78)
2. [Data](#orgfddea42)
1. [Data Science](#org63a9c6c)
1. [General](#org78c9643)
2. [MLOps](#org084be22)
3. [Viz](#org233f64d)
4. [Database](#orge34c456)
5. [Functional](#org4185035)
6. [DS4A](#org2af25df)
7. [Models](#org13f129e)
2. [Analytics Engineering](#orge9e0e64)
3. [Data Engineering](#orgf5c511b)
1. [General](#org9c82f27)
2. [Google Certification](#orga0a3ecc)
3. [Emacs](#orgeaba1d6)
1. [Jupyter](#org792aac0)
4. [Linux](#orga4aaab0)
5. [Life](#orgd100604)
1. [Stoicism](#orgb02f48a)
2. [Buddhism](#org97413bf)
6. [Etc](#orgddf3c31)
1. [Useful/cool Software](#org9dbf672)# Programming
## General
- [Video tutorials for modern ideas and open source tools. Calmly.](https://calmcode.io/)
- [REPL Driven Design](https://blog.cleancoder.com/uncle-bob/2020/05/27/ReplDrivenDesign.html)
- [FizzBuzz in too much detail](https://www.tomdalling.com/blog/software-design/fizzbuzz-in-too-much-detail/)
- [100 opinions on programming](https://twitter.com/Conaw/status/1206036267185500161)
- [Design Patterns](https://refactoring.guru/pt-br/design-patterns/python)
- [The 10 Operating System Concepts Software Developers Need to Remember](https://medium.com/cracking-the-data-science-interview/the-10-operating-system-concepts-software-developers-need-to-remember-480d0734d710)## Generative Art
- [openFrameworks](https://openframeworks.cc/)
- [Chromatocosmos](https://www.chromatocosmos.com/shop)
- [Robots and Generative Art and Python, oh my!](https://www.generativehut.com/post/robots-and-generative-art-and-python-oh-my)## Git
- [Never rebase at Master](https://stackoverflow.com/questions/40551486/duplicate-commits-after-rebase-have-been-merged-into-the-develop-branch)
## Functional Programming
- [Complexity and Functional Programming](https://kentcdodds.com/blog/classes-complexity-and-functional-programming)
- [Functional programming design patterns by Scott Wlaschin](https://youtu.be/E8I19uA-wGY)
- [Functional Programming in Scala](https://www.oreilly.com/library/view/functional-programming-in/9781617290657/)
- [An Introduction to Functional Programming, Lazy Evaluation, and Streams in Python](https://yardsale8.github.io/stat489_book/index.html)
- [Understanding Transducers Through Python](http://sixty-north.com/blog/series/understanding-transducers-through-python)
- [Right and left folds, primitive recursion patterns in Python and Haskell](https://eli.thegreenplace.net/2017/right-and-left-folds-primitive-recursion-patterns-in-python-and-haskell/)
- [Classes vs Modules](https://softwareengineering.stackexchange.com/questions/329348/classes-vs-modules-in-python)
- [Domain Driven Design](https://fsharpforfunandprofit.com/ddd/)
- [Solving Problems the Clojure Way - Rafal Dittwald](https://youtu.be/vK1DazRK_a0)
- [OOP Theory vs Reality](https://www.reddit.com/r/ProgrammerHumor/comments/418x95/theory_vs_reality/)
- [Object Oriented Programming is an expensive disaster which must end](http://www.smashcompany.com/technology/object-oriented-programming-is-an-expensive-disaster-which-must-end)
- [Object-Oriented Programming - The Trillion Dollar Disaster](https://medium.com/better-programming/object-oriented-programming-the-trillion-dollar-disaster-92a4b666c7c7)
- [Goodbye, Object Oriented Programming](https://medium.com/@cscalfani/goodbye-object-oriented-programming-a59cda4c0e53)
- [Functional Programming Patterns Cookbook (JavaScript)](https://medium.com/free-code-camp/functional-programming-patterns-cookbook-3a0dfe2d7e0a)
- [fklearn](https://medium.com/building-nubank/introducing-fklearn-nubanks-machine-learning-library-part-i-2a1c781035d0)## Distributed Systems
- [How to Diminish the Inevitable Failure of Distributed Systems](https://thenewstack.io/how-to-diminish-the-inevitable-failure-of-distributed-systems/)
- [Designing Data-Intensive Applications](https://dataintensive.net/)
- [Distributed Systems for Fun and For Profit](http://book.mixu.net/distsys/)
- [Start your real-time pipeline with Apache Kafka](https://medium.com/@kavimaluskam/start-your-real-time-pipeline-with-apache-kafka-39e30129892a)
- [Clean Micro-service Architecture](https://blog.cleancoder.com/uncle-bob/2014/10/01/CleanMicroserviceArchitecture.html)## Python
- [Poetry](https://python-poetry.org/)
- [Deployment of Machine Learning Models](https://www.udemy.com/course/deployment-of-machine-learning-models/?start=0)
- [Is Recursion Bad In Python?](https://beapython.dev/2020/05/14/is-recursion-bad-in-python/)## Clojure
- [Clojure and types](https://lispcast.com/clojure-and-types/)
- [Clojure Style Guide](https://guide.clojure.style/)
- [Geni - Clojure Dataframes](https://github.com/zero-one-group/geni)
- [Sparkling - Clojure + Spark](http://gorillalabs.github.io/sparkling/)
- [Reveal: Read Eval Visualize Loop for Clojure](https://github.com/vlaaad/reveal)
- [Intro to Data Science in Clojure with Incanter and Gorilla REPL](https://github.com/drewnoff/openintro-gorilla-incanter)
- [A whiff of data science in Clojure](https://jstaffans.github.io/posts/2017-11-14-clojure-data-science.html)## Swift
- [Swift Numerics](https://www.fast.ai/2019/01/10/swift-numerics/)
## Databases
- [Datahike](https://alekcz.gitbook.io/datahike-tuts/appendix/videos-to-worth-watching)
## Web
- [Netlify](https://www.netlify.com/)
- [Running a Blog with Hugo, Emacs, and Netlify](https://600000.ml/post/building_blog_with_hugo_emacs_netlify/)## Funny
- [A Brief, Incomplete, and Mostly Wrong History of Programming Languages](http://james-iry.blogspot.com/2009/05/brief-incomplete-and-mostly-wrong.html)
# Data
- [Resilience and Vibrancy: The 2020 Data & AI Landscape](https://mattturck.com/data2020/)
## Data Science
### General
- [How does science really work](https://www.newyorker.com/magazine/2020/10/05/how-does-science-really-work)
- [How to write a great research paper](https://youtu.be/uuoZ3becbXU)
- [From Astronomy to Data Science](https://www.deepdyve.com/lp/springer-journals/from-astronomy-to-data-science-dJQ7A9ucii)
- [Googleβs Datasetsearch](https://datasetsearch.research.google.com/)
- [120 Data Science Interview Questions](https://github.com/kojino/120-Data-Science-Interview-Questions)
- [Data Science Interviews](https://github.com/alexeygrigorev/data-science-interviews)
- [A Brief History of Liv Upβs Data Platform](https://medium.com/liv-up-inside-the-kitchen/a-brief-history-of-liv-up-data-platform-5ac403644c1c)### MLOps
- [CD4ML](https://martinfowler.com/articles/cd4ml.html)
- [MLOps](https://ml-ops.org/)
- [End to end ML workflow](https://ml-ops.org/content/end-to-end-ml-workflow)
- [MLFlow vs Kubeflow](https://medium.com/weareservian/the-cheesy-analogy-of-mlflow-and-kubeflow-715a45580fbe)
- [Demystifying the AI Infrastructure Stack](https://www.intel.com/content/www/us/en/intel-capital/news/story.html?id=a0F1I00000BNTXPUA5#/type=All/page=0/term=/tags=)
- [Introduction to data pipelines and Kedro](https://www.youtube.com/watch?v=rf8yBHsDOj4&list=PLTU89LAWKRwEdiDKeMOU2ye6yU9Qd4MRo)### Viz
- [Streamlit](https://github.com/streamlit/streamlit)
- [Redash](https://redash.io/)
- [Redash Query Filters](https://redash.io/help/user-guide/querying/query-filters)
- [Redash Query Parameters](https://redash.io/help/user-guide/querying/query-parameters)
- [Metabase](https://www.metabase.com/)
- [Metabase Query Parameters](https://www.metabase.com/docs/latest/users-guide/13-sql-parameters.html)
- [Metabase Filters](https://www.metabase.com/docs/latest/users-guide/08-dashboard-filters.html)
- [Apache Superset](https://superset.incubator.apache.org/)
- [Plotly Dash](https://dash.plotly.com/)
- [Open Source Embedded Analytics](https://medium.com/@eponkratova/iframe-src-open-source-embedded-analytics-for-saas-iframe-224a66e9b006)### Database
- [7 Database Paradigms](https://www.youtube.com/watch?v=W2Z7fbCLSTw)
- [Open Distro for Elasticsearch](https://opendistro.github.io/for-elasticsearch/)
- [OLAP cube with Elasticsearch](https://malike.github.io/OLAP-Cube-With-Elasticsearch.html)### Functional
- [fklearn](https://medium.com/building-nubank/introducing-fklearn-nubanks-machine-learning-library-part-i-2a1c781035d0)
### DS4A
- [MatΓ©ria DS4A](https://neofeed.com.br/blog/home/no-softbank-a-aposta-em-inteligencia-artificial-comeca-na-base/)
### Models
- [Estimating a Markov Transition Matrix from Observational Data](https://www.jstor.org/stable/2584334?seq=1)
- [Markov Chains in Python](https://www.datacamp.com/community/tutorials/markov-chains-python-tutorial)
- [Python Concurrent Futures](https://christophergs.com/python/2018/03/25/python-concurrent-futures/)## Analytics Engineering
- [datamindedbe @ Medium](https://medium.com/datamindedbe)
- [Why DBT will one day be bigger than Spark](https://medium.com/datamindedbe/why-dbt-will-one-day-be-bigger-than-spark-2225cadbdad0)
- [Trends β Analytic Engineering with Dbt or DataForm](https://blog.ml6.eu/trends-analytic-engineering-with-dbt-or-dataform-252afc8864ec)## Data Engineering
### General
- [Principled Data Engineering, Part I: Architectural Overview](https://medium.com/ssense-tech/principled-data-engineering-part-i-architectural-overview-6d4bdf89b657)
- [What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role](https://www.altexsoft.com/blog/datascience/what-is-data-engineering-explaining-data-pipeline-data-warehouse-and-data-engineer-role/)### Google Certification
- [Data Dossier - Cheat Sheet from Linux Academy](https://app.lucidchart.com/lucidchart/0ca44a63-4ea4-4d78-8367-2465512d21be/view?page=5CetVcvv3YSZ#)
- [Sample questions](https://cloud.google.com/certification/sample-questions/data-engineer)# Emacs
- [Cheatsheet](https://caiorss.github.io/Emacs-Elisp-Programming/Keybindings.html#sec-2)
- [15 Reasons Why I Use Emacs, With GIFs](https://medium.com/better-programming/15-reasons-why-i-use-emacs-with-gifs-5b03c6608b61)
- [Why I switched from VSCode to Emacs](https://hadi.timachi.com/2019/12/07/Why_I_switched_from_VScode_to_Emacs)
- [Why Emacs](https://tecosaur.github.io/emacs-config/config.html)
- [How do you create a robust Python IDE with Emacs (as the Text editor)](https://emacs.stackexchange.com/questions/9696/how-do-you-create-a-robust-python-ide-with-emacs-as-the-text-editor)
- [A Baby Steps Guide to Managing Your Tasks with Org](http://emacslife.com/baby-steps-org.html#org63c0a18)
- [An agenda for life with Org mode](https://blog.aaronbieber.com/2016/09/24/an-agenda-for-life-with-org-mode.html)
- [How to create LaTeX documents in Emacs](https://opensource.com/article/18/4/how-create-latex-documents-emacs)
- [Org Beamer Reference](https://github.com/fniessen/refcard-org-beamer)
- [Awesome Doom Emacs config](https://tecosaur.github.io/emacs-config/config.html)## Jupyter
- [Conda, Jupyter and Emacs](https://martinralbrecht.wordpress.com/2020/08/23/conda-jupyter-and-emacs/)
- [Reddit discussion](https://www.reddit.com/r/emacs/comments/if37r1/conda_jupyter_and_emacs_my_setup/)
- [Replacing Jupyter with Orgmode](https://rgoswami.me/posts/jupyter-orgmode/)
- [Reddit discussion](https://www.reddit.com/r/orgmode/comments/frlgkh/replacing_jupyter_with_orgmode/)
- [Any Emacs Ipython Notebook (EIN) users willing to share secrets?](https://www.reddit.com/r/emacs/comments/hk4fps/any_emacs_ipython_notebook_ein_users_willing_to/)
- [ein or emacsjupyter users here?](https://www.reddit.com/r/emacs/comments/i5xagf/ein_or_emacsjupyter_users_here/)# Linux
- [How do I free up disk space](https://askubuntu.com/questions/5980/how-do-i-free-up-disk-space)
# Life
- [The Advantages of Closing a Few Doors](https://www.nytimes.com/2008/02/26/science/26tier.html)
## Stoicism
- [The Daily Stoic: 366 Meditations on Wisdom, Perseverance, and the Art of Living](https://www.amazon.com.br/dp/B01HNJIJB2)
- [This Is The Morning Ritual That Will Make You Happy: 4 Secrets From Stoicism](https://www.bakadesuyo.com/2018/05/morning-ritual-2/)## Buddhism
# Etc
## Useful/cool Software
- [Ventoy - Bootable USB](https://github.com/ventoy/Ventoy)