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developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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LeetCode
Discontinued This is my LeetCode solutions for all 2000+ problems, mainly written in C++ or Python. (by lyhsieh)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
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tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
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build-your-own-x
Discontinued 🤓 Build your own (insert technology here) [Moved to: https://github.com/codecrafters-io/build-your-own-x] (by danistefanovic)
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applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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Windows Terminal
The new Windows Terminal and the original Windows console host, all in the same place!
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Playwright
Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
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996.ICU
Discontinued Repo for counting stars and contributing. Press F to pay respect to glorious developers.
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awful-ai
😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
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social-analyzer
API, CLI, and Web App for analyzing and finding a person's profile in 1000 social media \ websites
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
the AI Expert Roadmap (interactive web page), seems to have taken inspiration from the developer roadmap linked above and is awesome. I LOVE how they separate out different personas, from data scientist, to machine learning, to deep learning, to data engineering, etc. It’s really well done and fun to browse through! It is also kind of fun to juxtapose this with the aforementioned Developer Roadmap, as well as the Analytics Engineers Club, as they collected cover so much of modern tech is slightly MECE² (#BCG) ways 😃
While Github was designed to store code, it has become a major hub for crowdsourcing knowledge and educational resources. In fact, only 3/10 of the top Github repositories today are ‘technologies’ (Vue, React, & Tensorflow), and by far the most popular repository on Github is a free, non-profit, coding camp.
While Github was designed to store code, it has become a major hub for crowdsourcing knowledge and educational resources. In fact, only 3/10 of the top Github repositories today are ‘technologies’ (Vue, React, & Tensorflow), and by far the most popular repository on Github is a free, non-profit, coding camp.
Interview prep: resources geared toward job interview prep (e.g. coding interview university, tech interview handbook). Half of these were geared toward the leetcode platform, most of which had Chinese translations as well.
No surprises here: deep learning is the most popular subcategory, with hugging face transformers repo, YOLOv5, Tensorflow and Deepmind’s Alphafold all in the mix. Surprisingly, the only proper infrastructure-ey repos on the list are Meilisearch and Clickhouse, a tad bit surprising given all the hype data infrastructure receives in VC-world, but again, probably just a question of size of end-user populations + whether data scientists spend tons of time on Github vs. Web Developers…
No surprises here: deep learning is the most popular subcategory, with hugging face transformers repo, YOLOv5, Tensorflow and Deepmind’s Alphafold all in the mix. Surprisingly, the only proper infrastructure-ey repos on the list are Meilisearch and Clickhouse, a tad bit surprising given all the hype data infrastructure receives in VC-world, but again, probably just a question of size of end-user populations + whether data scientists spend tons of time on Github vs. Web Developers…
While Github was designed to store code, it has become a major hub for crowdsourcing knowledge and educational resources. In fact, only 3/10 of the top Github repositories today are ‘technologies’ (Vue, React, & Tensorflow), and by far the most popular repository on Github is a free, non-profit, coding camp.
Pattern lists: best-practice implementations of popular algorithms in various programming languages (e.g. javascript, python, unix, go)
Pattern lists: best-practice implementations of popular algorithms in various programming languages (e.g. javascript, python, unix, go)
Pattern lists: best-practice implementations of popular algorithms in various programming languages (e.g. javascript, python, unix, go)
Pattern lists: best-practice implementations of popular algorithms in various programming languages (e.g. javascript, python, unix, go)
Interview prep: resources geared toward job interview prep (e.g. coding interview university, tech interview handbook). Half of these were geared toward the leetcode platform, most of which had Chinese translations as well.
Interview prep: resources geared toward job interview prep (e.g. coding interview university, tech interview handbook). Half of these were geared toward the leetcode platform, most of which had Chinese translations as well.
Build projects: curated lists of DIY projects to improve skills and have fun (e.g. build your own x, app-ideas, awesome-for-beginners, first contributions)
Build projects: curated lists of DIY projects to improve skills and have fun (e.g. build your own x, app-ideas, awesome-for-beginners, first contributions)
Build projects: curated lists of DIY projects to improve skills and have fun (e.g. build your own x, app-ideas, awesome-for-beginners, first contributions)
Build projects: curated lists of DIY projects to improve skills and have fun (e.g. build your own x, app-ideas, awesome-for-beginners, first contributions)
Microsoft’s VS Code topped the list with 20K stars and probably one of the best code editors out there today, a difficult truth for many to accept 😅 Ofc, Powershell is also on the list with ~9K stars in 2021
Microsoft’s VS Code topped the list with 20K stars and probably one of the best code editors out there today, a difficult truth for many to accept 😅 Ofc, Powershell is also on the list with ~9K stars in 2021
Coder— VS Code in the browser, is one of the fastest growing repos by other activity metrics as well
There are also some new shells in the list, including Tabbyand Nushell, which both had around 7K stars, though Nushell is a much newer project
There are also some new shells in the list, including Tabbyand Nushell, which both had around 7K stars, though Nushell is a much newer project
Started in late 2020 and growing ~8K stars almost from scratch this year, is Fig, which adds advanced autocomplete to your terminal, regardless of which you choose to use
Somewhat comically, one of the older and more popular utilities and overall more popular repos on Github (65K stars) is ‘thefuck’, which autocorrects your previous console command
Starship, on the other hand, helps customize the prompt of any shell that you may be using
No surprises here: deep learning is the most popular subcategory, with hugging face transformers repo, YOLOv5, Tensorflow and Deepmind’s Alphafold all in the mix. Surprisingly, the only proper infrastructure-ey repos on the list are Meilisearch and Clickhouse, a tad bit surprising given all the hype data infrastructure receives in VC-world, but again, probably just a question of size of end-user populations + whether data scientists spend tons of time on Github vs. Web Developers…
No surprises here: deep learning is the most popular subcategory, with hugging face transformers repo, YOLOv5, Tensorflow and Deepmind’s Alphafold all in the mix. Surprisingly, the only proper infrastructure-ey repos on the list are Meilisearch and Clickhouse, a tad bit surprising given all the hype data infrastructure receives in VC-world, but again, probably just a question of size of end-user populations + whether data scientists spend tons of time on Github vs. Web Developers…
No surprises here: deep learning is the most popular subcategory, with hugging face transformers repo, YOLOv5, Tensorflow and Deepmind’s Alphafold all in the mix. Surprisingly, the only proper infrastructure-ey repos on the list are Meilisearch and Clickhouse, a tad bit surprising given all the hype data infrastructure receives in VC-world, but again, probably just a question of size of end-user populations + whether data scientists spend tons of time on Github vs. Web Developers…
No surprises here: deep learning is the most popular subcategory, with hugging face transformers repo, YOLOv5, Tensorflow and Deepmind’s Alphafold all in the mix. Surprisingly, the only proper infrastructure-ey repos on the list are Meilisearch and Clickhouse, a tad bit surprising given all the hype data infrastructure receives in VC-world, but again, probably just a question of size of end-user populations + whether data scientists spend tons of time on Github vs. Web Developers…
the AI Expert Roadmap (interactive web page), seems to have taken inspiration from the developer roadmap linked above and is awesome. I LOVE how they separate out different personas, from data scientist, to machine learning, to deep learning, to data engineering, etc. It’s really well done and fun to browse through! It is also kind of fun to juxtapose this with the aforementioned Developer Roadmap, as well as the Analytics Engineers Club, as they collected cover so much of modern tech is slightly MECE² (#BCG) ways 😃
The second repo I LOVE is Eugene Yan’s Applied ML repository. This is a brilliant idea to create and actually something I was planning on sort of casually doing in my non-existent free time… Anyhow, it is a curated list of technical posts from top engineering teams (Netflix, Amazon, Pinterest, Linkedin, etc.) detailing how they built out different types of AI/ML systems (e.g. forecasting, recommenders, search and ranking, etc.). Ofc, it focuses on AI/ML, but something similar could be made for the traditional or BI-oriented analytics stack, as well as the streaming world, super high value for practitioners! Btw-one of my favorite things at BCG used to be looking at our IT architecture team’s reference architecture diagrams… the best way to understand technologies is to look at how a ton of stuff is architected… and its fun!
three educational courses- Web Dev, ML, and IoT for beginners. Note re using educational resources as a strategy for marketing , at least the ML course links to various Azure services. Google does this a bunch as well, with Collab notebooks often being used to demo educational materials.
three educational courses- Web Dev, ML, and IoT for beginners. Note re using educational resources as a strategy for marketing , at least the ML course links to various Azure services. Google does this a bunch as well, with Collab notebooks often being used to demo educational materials.
three educational courses- Web Dev, ML, and IoT for beginners. Note re using educational resources as a strategy for marketing , at least the ML course links to various Azure services. Google does this a bunch as well, with Collab notebooks often being used to demo educational materials.
Dev tools and utilities including VS Code, Microsoft Terminal, and PowerToys,
Dev tools and utilities including VS Code, Microsoft Terminal, and PowerToys,
Web Dev technologies including the dominant TypeScript language, as well as an increasingly popular alternative to Selenium for browser automated testing: Playwright
Web Dev technologies including the dominant TypeScript language, as well as an increasingly popular alternative to Selenium for browser automated testing: Playwright
Bypass paywalls chrome is plug-in that does exactly what it says, let’s users bypass website paywalls to access content. Note, if you can, please pay for quality journalism.
Block the spot helps block advertisements on the internet. I am not a fan of hidden, advertisement-driven business models. That’s actually a big part of why I like enterprise vs. consumer tech more broadly, much cleaner and ethical business models
996.ICUis an amazing repository, basically a list of bad tech employers in China (perhaps broader now). It received significant media attention when started trending in 2019. Their own description below:
AI/ML is awesome and will bring a ton of good to the world, but there are also serious risks and safety considerations. Enhanced surveillance and State control is certainly one of them, and perhaps one of the ripest use cases for abuse is around facial recognition. One of the top trending repos in 2021 was Tencent’s GFPGAN, which ‘aims at developing Practical Algorithms for Real-world Face Restoration’. Another trending library was DeepFaceLab, for creating deep fakes. Note, famously in 2020, Huawei published about testing software for facial recognition of Uighurs. Earlier that year, IBM announced it would no longer develop facial recognition software. I come from a country where state surveillance is fairly normalized, albeit discreet. I’m talking journalists have their homes broken into, their messenger texts intercepted, and the secret police taps your cell phone type surveillance. So when our government bought 1000+ Huawei smart cameras a couple years back with facial recognition embedded, human rights activist were not thrilled.
AI/ML is awesome and will bring a ton of good to the world, but there are also serious risks and safety considerations. Enhanced surveillance and State control is certainly one of them, and perhaps one of the ripest use cases for abuse is around facial recognition. One of the top trending repos in 2021 was Tencent’s GFPGAN, which ‘aims at developing Practical Algorithms for Real-world Face Restoration’. Another trending library was DeepFaceLab, for creating deep fakes. Note, famously in 2020, Huawei published about testing software for facial recognition of Uighurs. Earlier that year, IBM announced it would no longer develop facial recognition software. I come from a country where state surveillance is fairly normalized, albeit discreet. I’m talking journalists have their homes broken into, their messenger texts intercepted, and the secret police taps your cell phone type surveillance. So when our government bought 1000+ Huawei smart cameras a couple years back with facial recognition embedded, human rights activist were not thrilled.
btw: there is an excellent compilation of awful use cases of AI in this repository aptly named Awful AI
Another two trending repositories dealt with locating people across social media accounts: project Sherlock and social analyzer— kind of sketchy seeing tech like this floating around in the public and easily downloadable domain and a good reminder of how public our lives are on the internet.
Another two trending repositories dealt with locating people across social media accounts: project Sherlock and social analyzer— kind of sketchy seeing tech like this floating around in the public and easily downloadable domain and a good reminder of how public our lives are on the internet.