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Logrocket
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Leader Spotlight: The importance of rapid learning and moving forward, with Jack Litchfield
- Jack Litchfield, Head of Product at Super.com, discusses the company's philosophy of experimentation and rapid learning across the organization, with a focus on truth-seeking and low ego culture.
- Super.com launches at least one experiment per day, with seeding and nurturing concepts and a roadmap that maximizes volume intelligently.
- Litchfield emphasizes the importance of learning from mistakes, especially in customer retention, and mentions the challenge of balancing quality while moving quickly.
- To ensure product team autonomy and ownership, Litchfield empowers them to make their own calls on what the OKRs need to be and sets decentralized command as a key operating thesis.
- Litchfield's philosophy also underscores the importance of being a good follower rather than always leading and knowing when to adapt and evolve for teams to succeed.
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Dev
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Black Box Testing and White Box Testing: Understanding the Differences
- Black box testing is a methodology where the tester evaluates the functionality of an application without knowledge of its internal code or structure.
- White box testing involves testing the internal workings of an application, including its code, design, and logic.
- Key differences between black box and white box testing include knowledge of code, testing scope, and tester requirements.
- Combining black box and white box testing provides a comprehensive testing strategy for maximizing coverage and ensuring application quality.
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Dev
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JSON Diff: Comparing and Identifying Changes in JSON Data
- JSON diff refers to the process of identifying and analyzing the differences between two JSON objects or files.
- JSON diff is essential for validating API responses, tracking configuration changes, and debugging software issues.
- Common challenges in JSON comparison include nested structures, key ordering, and formatting differences.
- Popular tools for JSON diff include JSON Compare, Diffchecker, jsondiffpatch, and deepdiff.
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PlanetPython
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Eli Bendersky: Reverse mode Automatic Differentiation
- Automatic Differentiation (AD) is an important algorithm to calculate derivatives of computer programs. Reverse mode AD works for any number of function outputs and is commonly used in machine learning.
- AD treats a computation as a nested sequence of function compositions, and then calculates the derivative of the outputs w.r.t. the inputs using repeated applications of the chain rule. There are two methods of AD: forward mode and reverse mode.
- Linear chain graphs can be easily calculated through a sequence of function compositions with a single input and single output. Reverse mode AD is a generalization of the Backpropagation technique used in training neural networks.
- General DAGs are more complex with non-linear patterns of interconnected nodes but can still be calculated through the multivariate chain rule. Expensive full Jacobians are not required in reverse mode AD because we only need a function that takes a row vector and outputs the VJP.
- Reverse mode AD and VJPs are highly regarded because large and sparse jacobians can lead to optimal computational efficiency.
- The Var class uses operator overloading and costumed functions to construct the graph in the background. The grad method then runs reverse mode AD.
- Reverse mode AD is commonly used in machine learning because it's more efficient and handles scalar loss output functions.
- Reverse mode AD and VJPs are crucial in implementing machine learning algorithms and neural networks.
- Professional AD implementations like Autograd and JAX have better ergonomics and performance for large-scale projects.
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Dev
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Volume Testing: Ensuring System Performance Under Heavy Data Loads
- Volume testing is a type of non-functional testing, evaluates a system's behavior when subjected to high data loads to ensure its stability and performance.
- It helps identify bottlenecks, performance degradation, or potential failures that occur when a system is inundated with large amounts of data.
- Volume testing is crucial for identifying bottlenecks and potential failures in systems, especially as businesses generate and manage increasingly larger datasets.
- The primary objectives of volume testing revolve around ensuring system reliability and scalability under heavy data loads.
- Volume testing specifically focuses on evaluating the impact of large datasets on system performance.
- Conducting volume testing involves a structured approach to simulate real-world data loads effectively.
- A variety of tools are available to facilitate volume testing, each offering unique capabilities for simulating and analyzing large data loads.
- Volume testing offers numerous advantages, making it an essential part of the software testing lifecycle.
- Understanding how volume testing differs from other testing types helps teams select the right approach for their needs.
- Emerging technologies, such as AI-driven analytics and cloud computing, will further enhance the effectiveness of volume testing.
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Dev
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Vyper - Write your First Smart Contract (Series)
- Vyper is a contract-oriented, Pythonic programming language that targets the Ethereum Virtual Machine (EVM).
- It prioritizes user safety and encourages clear coding practices via language design and efficient execution.
- Security by Design, Python-like Simplicity, DeFi-Optimized Features, Improved Auditability, and Gas Efficiency are why Vyper stands out.
- Every Vyper contract lives in its file - just one contract per file and stored with a file extension of .vy.
- The Vyper compiler plays a key role in the development process, transforming Vyper source code into Ethereum Virtual Machine (EVM) bytecode through several stages.
- State variables allow storing values that can be assessed by all functions in the codebase.
- A constructor is a unique function that initializes the contract's state variables when deployed.
- Gas is the unit of computational work required to execute operations on the Ethereum Virtual Machine (EVM).
- Vyper is becoming the go-to for smart contract development.
- Vyper is redefining smart contract development with its focus on simplicity, security, and efficiency.
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Medium
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Weekly Round-Up: Stonfiers Begin 2025 with a Bang!
- STON.fi had a successful year in 2024 with conference presentations and community milestones.
- They are offering up to 5.72% automatic offset for impermanent loss in the STON/USDT V2 pool.
- Their SDK has new features for better user experience on STON.fi.
- Recent updates on the platform include an insightful AMA session and expansion of the prize pool.
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Dev
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Conquer Breakpoints with React's useBreakpoints Hook
- The useBreakpoints hook is a custom React hook that taps into Material-UI's useTheme and useMediaQuery hooks.
- It allows developers to create user-friendly experiences across devices by handling mobile and desktop views differently.
- Benefits of using useBreakpoints include better user experience, cleaner code, faster performance, and project consistency.
- The hook can be easily set up and used in a React app to display different layouts based on screen size.
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Medium
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How NanoLog Shatters Performance Limits: Logging at 80 Million Messages Per Second!
- NanoLog is a logging system that operates at nanosecond-scale latency.
- Traditional logging frameworks can be a bottleneck for high-performance applications.
- NanoLog cuts overhead to just a handful of nanoseconds.
- It is suitable for latency-sensitive applications like high-frequency trading and real-time data analytics.
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Javarevisited
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Why Java Developer Should Learn Maven or Gradle in 2025?
- Many Java developers have questions around whether they should learn Maven or Gradle.
- Learning Maven or Gradle is considered important for Java developers.
- Maven and Gradle are popular build tools and understanding them can enhance job prospects.
- Useful resources are available to learn Maven and Gradle for Java developers.
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Medium
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Codestral 25.01: Mistral’s new LLM ranks 1 for coding tasks
- Codestral 25.01 is Mistral AI's latest breakthrough in code generation.
- It offers lightning-fast performance, support for over 80 languages, and state-of-the-art accuracy.
- The AI powerhouse excels in speed, accuracy, and versatility, making it the top coding LLM in 2025.
- Codestral 25.01 revolutionizes code generation, boosting developer productivity with record-breaking benchmarks.
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Dev
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Flat list horizontal all Items perfectly visible in iOS not in android ContentContainerStyle
- In the given code, the width is removed from the contentContainerStyle of the FlatList.
- This change allows the FlatList to dynamically calculate the width of its content based on its children.
- There are no padding offsets added, ensuring correct scrollable area calculation.
- As a result, the horizontal scrolling works as expected.
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Hackernoon
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Node.js now supports TypeScript, 2024's JavaScript Rising Stars, and NEW tools - This Week in JS
- Node.js now supports native TypeScript, eliminating the need for extra tooling.
- Shadcn/ui dominates in the 2024 JavaScript Rising Stars, while React 19 introduces web component support.
- Import Attributes in ECMAScript simplifies file handling by allowing specification of file types and improving workflow.
- Notable tools and releases include pnpm 10, Bun v1.1.43, Tesseract.js 6, QuickJS 0.8, trimMiddle(), and React-Toastify v11.
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Medium
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Digital Tower of Babel
- Most software is wasteful and environmentally damaging.
- Modern tech stacks are complex and prone to failure.
- Junior developers rely on unnecessary frameworks and excessive API calls.
- Efficiency and sustainability should be prioritized in software development.
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Medium
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The Journey of Becoming a Game Developer, Level 28: Giving Our Enemies Shields
- Create a new prefab for the enemy shield and set it to red in the inspector.
- Add the prefab as a child to both enemy types and save the prefabs.
- Implement logic to randomly activate the shield based on a spawn chance.
- Utilize the shield as a narrative tool and strategic challenge to enhance player engagement.
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