InfoQ Homepage Python Content on InfoQ
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Breaking down Python 3.13’s Latest Features
Python 3.13 introduces a revamped interactive interpreter with streamlined features like multi-line editing, experimental free-threaded mode, alongside the introduction of a Just-in-Time (JIT) compiler. Lastly, the update removes several outdated modules and introduces random function for the CLI.
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Lyft Promotes Best Practices for Collaborative Protocol Buffers Design
Lyft shared its experiences using Protocol Buffers for inter-system integration, primarily focusing on collaborative protocol design for definitions shared between teams and systems. The company promotes approaches that improve knowledge sharing, consistency, and development process quality over raw efficiency optimizations.
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Mistral Introduces AI Code Generation Model Codestral
Mistral AI has unveiled Codestral, its first code-focused AI model. Codestral helps the developers with coding tasks offering efficiency and accuracy in code generation.
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JetBrains Aqua IDE for Test Automation Now Generally Available
Aqua, the first IDE for test automation, is now generally available. The IDE supports multiple languages and major testing frameworks like Selenium and Cypress. JetBrains introduces a new licensing model with Free Individual Non-Commercial and Paid Commercial plans. Additionally, Aqua is included in the All Products Pack.
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Netflix Uses Metaflow to Manage Hundreds of AI/ML Applications at Scale
Netflix recently published how its Machine Learning Platform (MLP) team provides an ecosystem around Metaflow, an open-source machine learning infrastructure framework. By creating various integrations for Metaflow, Netflix already has hundreds of Metaflow projects maintained by multiple engineering teams.
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Apple Open-sources Apple Silicon-Optimized Machine Learning Framework MLX
Apple's MLX combines familiar APIs, composable function transformations, and lazy computation to create a machine learning framework inspired by NumPy and PyTorch that is optimized for Apple Silicon. Implemented in Python and C++, the framework aims to provide a user-friendly and efficient solution to train and deploy machine learning models on Apple Silicon.
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Ngrok JavaScript and Python SDKs Aim to Turn Ingress into a High-Level Abstraction
The new ngrok JavaScript and Python SDKs enable embedding secure ingress into apps with a single line of code. It includes out-of-the-box support for capabilities such as high performance, resilience, security and observability, allowing developers to focus on their functional requirements.
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Mojo Language SDK Available: Mojo Driver, VS Code extension, and Jupyter Kernel
Mojo SDK is available for developers. It contains the mojo driver, the Visual Studio Code extension and the Jupyter kernel. For now, SDK is available for MacOS and Linux.
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Reddit Unveils REV2: Modernised Rule-Execution with Kubernetes, Kafka, and Flink Stateful Functions
Reddit's Safety Engineering team recently published how it modernised its Rule-Execution system, which detects and acts on policy-violating content in real time. The new architecture includes improvements like transitioning from legacy EC2-based systems to Kubernetes, better rule version control with Github and S3 storage, and the capability to scale more efficiently with Flink Stateful Functions.
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TorchServe Potentially Exposed to Remote Code Execution
Israeli-based security company Oligo has uncovered multiple vulnerabilities in TorchServe, the tool used to serve PyTorch models, that could allow an attacker to run arbitrary code on vulnerable systems. The vulnerabilities have been promptly fixed in TorchServe version 0.82.
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A Modern Compute Stack for Scaling Large AI, ML, & LLM Workloads at QCon SF
Jules Damji, a lead developer advocate at Anyscale Inc., discussed the difficulties data scientists encounter when managing infrastructure for machine learning models. He emphasized the necessity for a framework that supports the latest machine learning libraries, is easily manageable, and can scale to accommodate large datasets and models. Damji introduced Ray as a potential solution.
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Chronon - Airbnb’s End-to-End Feature Platform at QCon SF 2023
At QConSF, Airbnb staff software engineer Nikhil Simha presented Chronon, Airbnb's solution to address the challenges of managing and serving the vast number of features used in machine learning models. The platform focuses on four key areas: core APIs, training data generation, feature serving, and feature observability.
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Running Apache Flink Applications on AWS KDA: Lessons Learnt at Deliveroo
Deliveroo introduced Apache Flink into its technology stack for enriching and merging events consumed from Apache Kafka or Kinesis Streams. The company opted to use AWS Kinesis Data Analytics (KDA) service to manage Apache Flink clusters on AWS and shared its experiences from running Flink applications on KDA.
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Feature Engineering at AirBnb Using Chronon
To increase productivity and scalability when creating new features to use in machine learning models, AirBnb has built Chronon, a solution to create the infrastructure required to turn raw data into features for training and inference.
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Introduction to Mojo Programming Language
Mojo is a newly presented programming language that combines the simplicity of Python with the speed and memory security of Rust. It is at an early stage of development and offers users an online playground to explore its features. Mojo aims for excellence in data science and machine learning, providing a fast alternative to Python. There are gradual plans to make it available to open-source.