The hottest Programming Substack posts right now

And their main takeaways
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Top Technology Topics

Data Science Weekly - Issue 404

Data Science Weekly Newsletter • 19 implied HN points • 19 Aug 21
🕹 Technology Programming
  1. Foundation models in AI are powerful tools that can be used for various tasks like language and vision, but they come with risks like misuse and ethical concerns.
  2. Causal inference helps us understand the effects of actions in data and can be applied in tech industries to personalize services and improve decision making.
  3. MLOps focuses on effectively implementing machine learning in real-world applications, bridging the gap between traditional computing and machine learning challenges.

The Irresistible Charm of Flip-Discs

Kathy PM • 2 implied HN points • 02 May 25
🕹 Technology Programming
  1. Flip-disc displays have a nostalgic charm that brings back memories of train stations and travel with their satisfying clicking sounds. They feel magical and make experiences feel more real.
  2. This project combines old-school flip-boards with modern technology, offering interactive displays that you can control with your code. It’s a fun mix of art and tech.
  3. Building something physical that reacts to your commands is very rewarding. The joy comes from creating a display that flips and moves, making programming feel more alive.

Issue #82

Infra Weekly Newsletter • 9 implied HN points • 27 Feb 24
🕹 Technology Programming
  1. Microsoft Azure experienced a major data breach with hundreds of compromised executive accounts, highlighting security concerns despite its reputation.
  2. Nickel, a language by Tweag, aims to create safe and verified configurations, offering a new tool for developers.
  3. While SSDs have greatly improved in speed, cloud vendors like AWS haven't capitalized on this advancement, possibly due to challenges in leveraging high I/O speeds or maximizing revenue.

Data Science Weekly - Issue 401

Data Science Weekly Newsletter • 19 implied HN points • 29 Jul 21
🕹 Technology Programming
  1. Open-ended play can help train AI agents to perform well on different tasks without needing direct human input. This means they can learn and adapt quickly to new challenges.
  2. Time-weighted averages are useful for getting accurate averages from data that isn't collected on a regular schedule. They help in making sense of messy time-series data.
  3. Triton is a new programming tool that makes it easier for researchers to write efficient GPU code, allowing even those without deep technical skills to optimize their computations effectively.

In Defense of Shell Scripts

Certo Modo • 1 HN point • 26 Feb 24
🕹 Technology Programming
  1. Consider using shell scripts when CLI tools are available and APIs aren't, for more efficiency.
  2. For quick prototypes, opt for a shell script solution to validate ideas swiftly before committing to a more complex programming language.
  3. When developing CLI tools, prioritize speed and consider using compiled languages like Golang or Rust for efficiency.
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You made this? I made this.

readfromdisk • 1 HN point • 26 Feb 24
🕹 Technology Programming
  1. Sometimes in organizations, teams might prefer to own something symbolically rather than dealing with its responsibilities and maintenance.
  2. It can be more appealing to showcase a shiny solution without actually fixing deep-rooted problems in the organization.
  3. Working on real solutions and solving actual problems might be less glamorous but more impactful than just claiming ownership for the surface.

#25

The Nibble • 12 implied HN points • 17 Sep 23
🕹 Technology Programming
  1. A new JS framework called Bun v1.0 is live and making waves.
  2. Apple's recent annual event highlighted sustainability efforts in their products.
  3. Unity's new fee structure is causing uproar among game developers.

Data Science Weekly - Issue 395

Data Science Weekly Newsletter • 19 implied HN points • 17 Jun 21
🕹 Technology Programming
  1. TinyML is a growing field that covers small, efficient machine learning models. It's useful for projects where computing power is limited.
  2. Understanding Bayesian statistics can help tackle complex decision-making problems. Engaging with experts in the field can deepen your insights.
  3. Choosing the right tool for data processing is important. Tools like Dask and Vaex serve different purposes, so knowing when to use each is key.

Episode 18: Burkhard on Qt Embedded Systems

burkhardstubert • 19 implied HN points • 07 Jun 21
🕹 Technology Programming
  1. A good architecture meets three criteria: it should be technically sound, fulfill the needs of stakeholders, and deliver real value. Mixing different architectural patterns often results in better designs.
  2. Understanding and addressing operating conditions like temperature or dust is important in system architecture. These factors can influence design decisions considerably.
  3. It's crucial to balance modeling and implementation for successful architecture. Rely on both upfront design and iterative feedback from working code to adapt to changing requirements.

Issue #79

Infra Weekly Newsletter • 9 implied HN points • 22 Jan 24
🕹 Technology Programming
  1. Martin Fowler updated the CI article with trunk-based development.
  2. Applying Deming's principles to cybersecurity can improve practices and organizational changes.
  3. Polar language is P-complete, not Turing-complete, which is essential for performance and user-written policies.

Data Science Weekly - Issue 386

Data Science Weekly Newsletter • 19 implied HN points • 15 Apr 21
🕹 Technology Programming
  1. Accessibility in data visualization is important. Tools like Chartability help ensure that everyone can understand data, especially people with disabilities.
  2. Graph Neural Networks (GNNs) are a powerful tool for analyzing data, but their effectiveness can vary depending on how they use features and edges.
  3. There's a growing need for data observability. Companies must ensure data quality and avoid issues like missing or duplicate data as they handle more complex data pipelines.

KP leads Codeium's Series B

Leigh Marie’s Newsletter • 8 implied HN points • 30 Jan 24
🕹 Technology Programming
  1. LLMs are advancing in developer tooling, capable of automating coding tasks efficiently.
  2. Some developers don't use AI-powered coding tools due to compliance, security, IP concerns, or unique codebases.
  3. Codeium evolved from an ML software company to a full-stack AI coding platform, showing the importance of iterating and customer focus.

Episode 16: Burkhard on Qt Embedded Systems

burkhardstubert • 19 implied HN points • 31 Mar 21
🕹 Technology Programming
  1. Keyboard shortcuts can make using QtCreator much faster. For example, pressing 'Alt+Enter' can help you quickly add include files or definitions.
  2. Cross-compiling with CMake using QtCreator is possible in just five minutes. This can save time when developing applications for different platforms.
  3. Project management is crucial for meeting deadlines. It's important to prioritize features so that the team can deliver the best possible version of the product on time.

Issue #48

Infra Weekly Newsletter • 13 implied HN points • 31 May 23
🕹 Technology Programming
  1. The Golang project development process has evolved in recent years.
  2. Fedora Onyx is now an official Fedora Linux Immutable Variant.
  3. Using Flatpak for Linux software installations has 5 key advantages.

Data Science Weekly - Issue 383

Data Science Weekly Newsletter • 19 implied HN points • 25 Mar 21
🕹 Technology Programming
  1. Artificial intelligence is making big strides in drug discovery, helping researchers tackle important problems more effectively. It's great to see technology playing a role in improving health outcomes.
  2. Jupyter notebooks are a popular tool among data scientists for data analysis and exploration, but some find them tricky to manage in production environments. It's a love/hate relationship for many users.
  3. Machine learning is becoming a key player in game development, helping to test and balance games more efficiently. This could lead to better gaming experiences for everyone.

Issue #72

Infra Weekly Newsletter • 9 implied HN points • 22 Nov 23
🕹 Technology Programming
  1. A Go library called `cpuid` provides CPU core information.
  2. Rust programming language is integrating deeper into the Linux kernel.
  3. Ubuntu Core Linux Developer Preview offers an immutable Linux distribution.

Episode 15: Burkhard on Qt Embedded Systems

burkhardstubert • 19 implied HN points • 28 Feb 21
🕹 Technology Programming
  1. There are events happening for Qt embedded systems, and the deadlines for presenting are coming up soon. If you want to share your work, make sure to submit your proposals on time!
  2. When writing code, it's important to make it readable by using good names and comments. Bad names should be replaced with clearer function names instead of relying on comments to explain them.
  3. Focus on breaking down your code into smaller, manageable functions. Each function should do one task well, which makes it easier to read and understand.

Issue #70

Infra Weekly Newsletter • 9 implied HN points • 07 Nov 23
🕹 Technology Programming
  1. Okta was hacked and Cloudflare discovered the breach.
  2. Netflix's Data Mesh SQL Processor simplifies stream processing with SQL.
  3. An article discusses the challenges of building an internal developer platform in-house and suggests considering commercial solutions.

Data Science Weekly - Issue 377

Data Science Weekly Newsletter • 19 implied HN points • 11 Feb 21
🕹 Technology Programming
  1. Machine learning is being used in interesting ways, like tracking pets at home with Bluetooth and specialized detectors. It's cool to see technology helping us keep track of our furry friends.
  2. There's a shift from using Excel to Python in industries that need tech improvements. Companies are finding that Python can handle complex tasks and data much better than traditional methods.
  3. Active learning in machine learning helps reduce the amount of labeled data needed to train models. By letting the model ask questions about uncertain data, it learns more efficiently.

Data Science Weekly - Issue 375

Data Science Weekly Newsletter • 19 implied HN points • 28 Jan 21
🕹 Technology Programming
  1. When building a machine learning team, it's important to adapt the team's structure as projects grow. Start small, but be ready to scale up as your needs change.
  2. Creating machine learning systems that can generalize well requires us to use observations to make inferences. This process, known as induction, helps build smarter algorithms.
  3. Machine learning is now being applied to modeling audio equipment, which could change the way we think about sound and effects in music production.

Issue #42

Infra Weekly Newsletter • 13 implied HN points • 04 Apr 23
🕹 Technology Programming
  1. GitHub's RSA SSH private key was briefly exposed, leading to an update
  2. Tech leaders like Elon Musk are calling for caution in advancing AI beyond human level
  3. Consider using Postgres for graph databases and exploring tools like OpenAI GPT in PostgreSQL

Quantum ML Journey: A Fireside Chat with Amira Abbas

Deep-Tech Newsletter • 19 implied HN points • 20 Oct 20
🕹 Technology Programming
  1. The course aims to help reduce the mathematical barrier to Quantum Computation for software engineering and data science professionals interested in the field.
  2. Encouraging and nurturing professionals from diverse backgrounds, like Amira Abbas, in the deep-tech industry can lead to innovation and potential for emerging technologies.
  3. There is untapped talent in Africa, and providing education, support, and opportunities can unlock brain power for the deep-tech industry on the continent.

Data Science Weekly - Issue 370

Data Science Weekly Newsletter • 19 implied HN points • 24 Dec 20
🕹 Technology Programming
  1. NeRF technology made big waves in 2020, changing how we render 3D images with neural networks. It’s a cool new area in data science that’s just starting to grow.
  2. DeepMind's MuZero AI is impressive because it learns the rules of games by itself, improving how we analyze videos. This could lead to cost cuts for platforms like YouTube.
  3. If you're looking to start a career in data science, there are practical guides available. These can help you with everything from filling knowledge gaps to creating a strong portfolio.

How to implement a decision tree

The Palindrome • 3 implied HN points • 08 Nov 24
🕹 Technology Programming
  1. A decision tree splits data based on features and thresholds, which helps in making predictions by creating branches. Each split leads to two outcomes based on whether the condition is met or not.
  2. Gini impurity is a key measure for evaluating how 'pure' the labels are in each leaf of the tree. A lower Gini impurity means better predictability for a leaf's classification.
  3. You can create both classification and regression trees by changing how you score the splits and define the predictions in the leaves. This flexibility allows for various applications in data analysis.

Issue #62

Infra Weekly Newsletter • 9 implied HN points • 13 Sep 23
🕹 Technology Programming
  1. Gateway API v0.8.0 now supports service mesh in experimental status.
  2. Kubernetes 1.28 introduces a new mechanism for safer cluster upgrades.
  3. Danish startup Rig.dev raises €2M to develop an open-source platform for Kubernetes.

Data Science Weekly - Issue 361

Data Science Weekly Newsletter • 19 implied HN points • 22 Oct 20
🕹 Technology Programming
  1. Modern data infrastructure is becoming crucial for businesses, as they need better ways to analyze data for value. Companies are confused about the best technologies to use.
  2. Many businesses are investing in AI, but few are actually seeing big returns on that investment. About 11% of companies report gaining significant financial benefits from AI.
  3. There are new learning techniques in AI that allow models to learn from very few examples. This could make machine learning more accessible and reduce costs.

#21

The Nibble • 9 implied HN points • 19 Aug 23
🕹 Technology Programming
  1. Spotify expands AI DJ feature globally
  2. Beware of MTFE, a crypto ponzi scheme
  3. Google Docs and Slides now support Markdown natively

Issue #59

Infra Weekly Newsletter • 9 implied HN points • 21 Aug 23
🕹 Technology Programming
  1. OpenTF Manifesto aims to challenge HashiCorp's recent license change.
  2. Monti Ransomware resurfaces with new Linux variant and evasion tactics.
  3. OpenMandriva Lx 23.08 released featuring Linux Kernel 6.4 and Mesa 23.2.

Data Science Weekly - Issue 360

Data Science Weekly Newsletter • 19 implied HN points • 15 Oct 20
🕹 Technology Programming
  1. Improving performance on GPUs is crucial for machine learning. It helps speed up both research and development, which leads to better results overall.
  2. BMW is working on ethical guidelines for AI usage. This aims to ensure that as AI evolves, it remains focused on benefiting people.
  3. Data discovery can be a challenge for companies. Facebook built a tool called Nemo to make it easier for engineers to find the information they need quickly.