The hottest Programming Substack posts right now

And their main takeaways
Category
Top Technology Topics

Problem 5: Generate Random Numbers According to Probability [TripleByte]

Technology Made Simple • 19 implied HN points • 12 Sep 21
🕹 Technology Programming
  1. Given 'n' numbers and corresponding probabilities that sum to 1, a function can be written to generate a number based on its probability.
  2. Random numbers between 0 and 1 can be generated uniformly to solve the problem of generating random numbers according to probability.
  3. Access to solutions to coding problems and breakdowns can often be obtained by subscribing to relevant publications.

🥳 The Perils of Over-Abstraction, ts_sms Compression Tool, Kqueue vs. Epoll & More

ppdispatch • 5 implied HN points • 31 Dec 24
🕹 Technology Programming
  1. Over-abstraction in code can make things complicated and hard to manage, so it's important to keep it simple. If you complicate your system, it might end up slowing down and confusing your team.
  2. Fish-shell switched from C++ to Rust to improve safety and performance, showing how changing your tools can lead to better results. Their move has also engaged the community and made contributions easier.
  3. Understanding the differences between PHP's getenv() and $_ENV can prevent unexpected issues when accessing environment variables. It's essential to know how your PHP configuration handles these variables to avoid problems.

Data Models, Types, or Schemas?

The API Changelog • 4 implied HN points • 14 Feb 25
🕹 Technology Programming
  1. Naming things is tough, especially when it comes to defining API data. Different people use different terms like data model, data type, or schema, which can lead to confusion.
  2. A data model helps to represent and organize information, while a data type defines the kind of data values it can hold. However, people often associate data types with simple categories like strings and numbers.
  3. The term 'schema' is commonly used to describe the structure and format of API data. Many standards, like OpenAPI and GraphQL, reference schemas to clarify how to define input and output data.

Episode 11: Burkhard on Qt Embedded Systems

burkhardstubert • 39 implied HN points • 31 Oct 20
🕹 Technology Programming
  1. Working from home has become the norm for many due to the pandemic. It's nice to have a routine and support from loved ones during tough times.
  2. Qt Marketplace offers a variety of components for developers at reasonable prices. It can save time and money compared to building from scratch.
  3. Testing is crucial for software quality, and using methods like approval testing can help improve the process, especially with legacy applications.

Data Science Weekly - Issue 429

Data Science Weekly Newsletter • 19 implied HN points • 10 Feb 22
🕹 Technology Programming
  1. Data science models need regular monitoring after deployment. They can lose effectiveness over time, so it's important to keep an eye on their performance.
  2. Recommender systems help users find relevant content among large amounts of data. They are essential tools for platforms like YouTube and Facebook.
  3. Causal knowledge is important for making good business decisions. Relying solely on prediction-based methods may not address complex managerial problems.
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🧭 WoR Newsletter - GitHub Copilot Review, Develop our Soft Skills, Adopt Elixir...

Women On Rails Newsletter - International Version • 19 implied HN points • 20 Jul 21
🕹 Technology Programming
  1. The newsletter covers topics like GitHub Copilot, soft skills development, and adopting new technologies with the team.
  2. It emphasizes the importance of soft skills for developers and provides advice on how to develop them.
  3. The newsletter also includes insights on WebAssembly, the process of adopting a new stack within a team, and how to build a portfolio with Next.js.

Data Science Weekly - Issue 428

Data Science Weekly Newsletter • 19 implied HN points • 03 Feb 22
🕹 Technology Programming
  1. Information Theory has evolved over time, influenced by technology and significant events like the space race, shaping its focus and impact across various fields.
  2. DeepMind's AlphaCode can compete in programming challenges, showing how AI can be developed to solve complex problems requiring a mix of skills.
  3. Understanding the concept of typicality is important in generative models, as it helps clarify issues with common methods like beam search and anomaly detection.

Issue #60

Infra Weekly Newsletter • 18 implied HN points • 29 Aug 23
🕹 Technology Programming
  1. RIP AWS Go Lambda Runtime - AWS facing challenges with a recent update.
  2. HashiCorp Licensing FAQ - Check the new BSL license implications.
  3. Cloud Native Summit - NZ & Australia - Event focusing on Cloud Transformation in September 2023.

Writing an OS kernel in Odin

bumbread • 3 HN points • 28 Oct 23
🕹 Technology Programming
  1. Writing OS kernels in high-level languages like Odin requires adjustments due to assumptions made by these languages about the target system.
  2. Enabling SSE instructions in an OS kernel written in Odin is necessary, as some CPUs don't have SSE enabled by default.
  3. When compiling an OS kernel in Odin, specific compiler flags like -target:freestanding_amd64_sysv and -no-crt are important for the build process.

Data Science Weekly - Issue 426

Data Science Weekly Newsletter • 19 implied HN points • 20 Jan 22
🕹 Technology Programming
  1. Prospective learning is important because it focuses on preparing for future challenges instead of just learning from past experiences. This helps both humans and AI to adapt to new situations better.
  2. AI is set to change the field of medicine greatly, making things better for both doctors and patients by improving medical tools and approaches. But there are important ethical and technical issues to consider, like data fairness and bias.
  3. Using vectorization can speed up Python code significantly, but it's essential to understand what it means and when to apply it. This way, you can handle large sets of data more efficiently.

#47

The Nibble • 12 implied HN points • 18 Feb 24
🕹 Technology Programming
  1. Amazon's LLRT is a lightweight JavaScript runtime for serverless environments, aiming to boost JS performance.
  2. The appeal of Big Tech jobs has diminished in the past 2 years due to layoffs, pay decreases, and less attractive perks.
  3. Understanding Top Level Domains (TLDs): gTLDs are generic while ccTLDs are country-specific and riskier.

Episode 25: Burkhard on Qt Embedded Systems

burkhardstubert • 19 implied HN points • 03 Jan 22
🕹 Technology Programming
  1. The author received a significant award, becoming a Qt Champion in the Ambassador category for promoting Qt Embedded Systems. It's quite a recognition for their contributions!
  2. In 2022, the author plans to write more, give talks, and create video tutorials on Qt Embedded Systems, with over 50 ideas lined up. It sounds like they are excited to share more knowledge!
  3. The author encourages readers to engage and provide feedback, hoping to keep them as loyal readers and critics as they grow their content.

Data Science Weekly - Issue 423

Data Science Weekly Newsletter • 19 implied HN points • 30 Dec 21
🕹 Technology Programming
  1. 2021 was a great year for AI research, with many new papers and breakthroughs that need to be understood and followed up on.
  2. Graph machine learning gained a lot of attention, and there are many new trends and advancements worth knowing about.
  3. There are many resources and tools available for learning data science and machine learning, including free courses and beginner-friendly tutorials.

The Justified Ancients of Mu Mu

Dan’s MEGA65 Digest • 11 implied HN points • 15 Mar 24
🕹 Technology Programming
  1. Audio can be generated on the MEGA65 through SID chips and Pulse-Code Modulation (PCM), which allows for reproducing real-world sounds but takes up a lot of memory space.
  2. The MEGA65 expansion board project aims to enhance the computer with features like component video output, Commodore user port, and tape port.
  3. Using audio DMA on the MEGA65, you can play digitized sound samples by controlling speaker membranes directly, even enabling playback of high-quality sound data and providing opportunities for creative sound manipulation.

Data Science Weekly - Issue 422

Data Science Weekly Newsletter • 19 implied HN points • 23 Dec 21
🕹 Technology Programming
  1. Games can be made within spreadsheets like Excel or Google Sheets, making learning fun and interactive.
  2. Testing is an important part of a data scientist's job, and understanding how to do it can help improve analysis work.
  3. Understanding language can help in developing smarter machines, opening new paths for machine learning beyond just text processing.

🐍 Open-Source Debates, Storage Options, & the Python Dependency Mess

ppdispatch • 5 implied HN points • 03 Dec 24
🕹 Technology Programming
  1. Redis Inc. is trying to take control of open-source Redis libraries, raising concerns about the future of community-driven development. This situation highlights the tension between corporate interests and open-source values.
  2. Deno is working to cancel Oracle's trademark on 'JavaScript' to make the name freely usable for everyone. This could remove legal barriers for developers and simplify naming in the tech community.
  3. There are many options for browser storage, like cookies, localStorage, and IndexedDB, each with its own strengths and weaknesses. Choosing the right one depends on what you're building and how you want to handle data.

BEAST

Thái | Hacker | Kỹ sư tin tặc • 299 implied HN points • 26 Sep 11
🕹 Technology Programming
  1. BEAST exploits a weakness in SSL to decrypt secret cookies in a client-side SSL attack.
  2. The BEAST attack involves Javascript/applet agents and a network sniffer for decryption.
  3. Challenges in creating BEAST involved bypassing same-origin policy and developing code optimizations for faster decryption.

Data Science Weekly - Issue 421

Data Science Weekly Newsletter • 19 implied HN points • 16 Dec 21
🕹 Technology Programming
  1. Lee Wilkinson made a big impact in the field of interactive visualization. His work helped people better understand and create statistical graphics.
  2. A new journal for machine learning research is starting, aiming for quick and fair reviews. This will help share cutting-edge research in a transparent way.
  3. Feature engineering is still important in machine learning, despite the rise of deep learning. It turns out that creating good features can really boost model performance.

the end of code tinkering

The Spicy Take AI Sandwich • 3 HN points • 26 Mar 23
🕹 Technology Programming
  1. Programming can be seen as an art form by some, focusing on clear communication and craftsmanship.
  2. Efforts are shifting towards writing clean code, thorough testing, and understanding mistakes for better software development.
  3. Programming is evolving towards more focus on developing communication tools with computers, especially in the realm of machine learning.

Software 3.0

Div’s Substack • 3 HN points • 01 Apr 23
🕹 Technology Programming
  1. Software 3.0 represents a shift in programming to using natural language as the new programming language.
  2. Software 3.0 involves querying a large AI model with natural language prompts to get desired output, making programming easier and more versatile.
  3. The transition to Software 3.0 brings benefits like human interpretability, generalization, and simplification of programming, but also comes with challenges like fault tolerance and latency.

Large Language Model Blues

Pavle Miha • 3 HN points • 11 Apr 23
🕹 Technology Programming
  1. The Copernican Revolution happens once and then it's over, we'll realize we're not the smartest, but we're special in other ways.
  2. Computers changed chess and work by automating tasks; we'll find new ways to make things fun again.
  3. We're all in this together, so be kind, reach out to others, and support each other.

Data Science Weekly - Issue 419

Data Science Weekly Newsletter • 19 implied HN points • 02 Dec 21
🕹 Technology Programming
  1. FluxML is teaming up with NumFOCUS to enhance open science and improve machine learning tools. This partnership will support new applications in areas like scientific machine learning and differentiable programming.
  2. There’s a fun 30-day challenge involving mapping that highlights the importance of community in data science. It celebrates collaboration and innovation in creating visual representations of data.
  3. AI is making strides in pure mathematics by helping uncover new patterns and insights. This collaboration between AI and mathematicians could lead to significant advancements in understanding complex mathematical concepts.

Sprite Attack!

Dan’s MEGA65 Digest • 11 implied HN points • 16 Feb 24
🕹 Technology Programming
  1. Sprites in computer graphics are dedicated to moving objects like spaceships or characters and were essential for video games and user interfaces on the Commodore 64.
  2. MEGA65 supports VIC-II hardware sprites and offers sprite-related BASIC commands to make it easy to use in programs, allowing for creating simple arcade games.
  3. Understanding sprite features like multicolor mode, double size options, collision detection, and managing sprite image data through tools like the Sprite Editor enhances game development on the MEGA65.

Data Science Weekly - Issue 417

Data Science Weekly Newsletter • 19 implied HN points • 18 Nov 21
🕹 Technology Programming
  1. Brains are like prediction machines which help save energy. They do this by predicting what they will perceive in the world around them.
  2. AI is being used to help scientists study chimpanzee behavior in the wild. It can find important clips in hours of footage much faster than humans.
  3. Different approaches to AI governance exist between the EU and the US. This may affect how they collaborate on AI in the future.

Data Science Weekly - Issue 415

Data Science Weekly Newsletter • 19 implied HN points • 04 Nov 21
🕹 Technology Programming
  1. Audio signal processing is important for machine learning projects that involve sound. To analyze sound effectively, you need to convert it into spectrograms first.
  2. Algorithmic efficiency in deep learning has improved greatly, requiring much less computing power than before. This means we can train complex neural networks faster and more efficiently now.
  3. Understanding Gaussian processes can be complicated, but looking at them in different ways can help. Each perspective gives new insights and makes the concept easier to grasp.

Polymath Engineer Weekly #63

Polymath Engineer Weekly • 15 implied HN points • 03 Sep 23
🕹 Technology Programming
  1. The article discusses different types of requests to Slack and their handling by Edge Services.
  2. Experimenting with new coding approaches may initially seem beneficial but can lead to productivity issues in the long run.
  3. The post explores the concept of following predetermined paths in life versus pursuing entrepreneurship.

Implementing scoped defer in C

Burning the Midnight Coffee • 10 HN points • 09 Mar 24
🕹 Technology Programming
  1. Error handling and resource management in C can be challenging, leading to messy and error-prone code structures. Implementing a scoped defer mechanism simplifies resource management and reduces the need for manual cleanup in C programs.
  2. Different programming languages have various built-in mechanisms for resource management like scope-based resource management in C++ and Rust, special resource handling blocks in C#, Java, and Python, and the use of defer statements in languages like Go, Zig, Odin, and C3.
  3. Defer in C can be implemented using macro tricks to provide a simple and efficient scoped defer mechanism, similar to other languages. Nested scopes and proper resource cleanup can be achieved by creatively using macros and conditional jumps within C code.

#38

The Nibble • 12 implied HN points • 17 Dec 23
🕹 Technology Programming
  1. Interesting developments in Indian Language Models and AI projects
  2. OpenAI bans TikTok for using GPT to train their own AI model
  3. New advancements like Stable Zero123 for 3D Object views and Tesla's Optimus Gen 2 humanoid prototype

Data Science Weekly - Issue 413

Data Science Weekly Newsletter • 19 implied HN points • 21 Oct 21
🕹 Technology Programming
  1. AI can help create music, but it raises questions about artistic value and originality. It's a mix of excitement and skepticism over how machines understand creativity.
  2. Learning practical tools in computer science, like command-line and version control, is often overlooked in traditional classes. A new course aims to fill this gap by teaching these essential skills.
  3. When developing AI models, it’s important to think about their impact and safety in real-world applications. There are challenges in ensuring these models are ethical and reliable.

How to explain algorithms

Notices to three friends • 3 implied HN points • 08 Mar 25
🕹 Technology Programming
  1. Sorting is about putting every item in a list in the right spot. There are two main ways to think about this: find the right spot for each item or find the right item for each spot.
  2. Quick-sort improves sorting by avoiding unnecessary comparisons. It achieves this by selecting a pivot and organizing elements based on their relationship to the pivot.
  3. Understanding algorithms isn't just about knowing the steps. It's important to understand the reasons behind them, as this knowledge helps you innovate or adapt the processes better.

Burkhard on Qt Embedded Systems: No. 5

burkhardstubert • 39 implied HN points • 30 Apr 20
🕹 Technology Programming
  1. Using Docker can make it easier to manage different build environments for Qt applications. It allows you to hide the complexity of the build environment while still getting the same results.
  2. There are talks about potential delays in open-source Qt releases, which could impact the community. However, it seems like these discussions may just be negotiations for better licensing terms.
  3. Continuous delivery practices can help teams perform better without sacrificing quality. By focusing on smaller, manageable changes, teams can achieve both speed and stability in software delivery.

Data Science Weekly - Issue 411

Data Science Weekly Newsletter • 19 implied HN points • 07 Oct 21
🕹 Technology Programming
  1. Freelancing in data visualization can be difficult, and learning from others' mistakes can help avoid similar pitfalls.
  2. Using AI to restore lost art, like Klimt's paintings, shows how technology can creatively bring the past back to life.
  3. Resource constraints in smaller organizations can complicate how machine learning is developed, highlighting the need for better support and understanding in the field.

The Belamy | OpenAI Triton, SingleStore & Stack Overflow

Sector 6 | The Newsletter of AIM • 19 implied HN points • 08 Aug 21
🕹 Technology Programming
  1. OpenAI has released a new programming language called Triton that allows users without CUDA experience to write GPU code effectively. This makes it easier for more people to work with high-performance computing.
  2. Triton offers an alternative to existing technologies like NVIDIA CUDA, which has been the standard for GPU programming. It's important to understand the differences to choose the right tool for specific needs.
  3. The advancements in programming languages like Triton show how AI and technology are evolving, making powerful tools more accessible to developers and researchers. This opens up new possibilities for innovation.

Data Science Weekly - Issue 408

Data Science Weekly Newsletter • 19 implied HN points • 16 Sep 21
🕹 Technology Programming
  1. Many PhD and Master students need to rethink their work habits formed by years of homework and tests. It's important to develop a more flexible approach to learning and working in data science.
  2. The quality of training data is crucial in machine learning. It's no longer just about crafting better models; having good data can be a game changer for performance.
  3. Effective marketing budget allocation can be informed by Media Mix Modeling. This helps companies understand which advertising channels yield the best results for customer acquisition.

Data in Rust

Cybernetic Forests • 19 implied HN points • 11 Apr 21
🕹 Technology Programming
  1. Tape was the first data storage medium, made of iron oxide with data inscribed by magnets, and tape art and music have explored its possibilities.
  2. Music on tape has influenced data on tape, with notable examples like Brian Eno and Delia Darbyshire using tape as a creative tool.
  3. Art, like music experimentation, serves as a space for safe exploration and where things can break, contributing to science and knowledge without being driven solely by profit or power.