Boris

@lokasan

914 Following

409 Followers

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Just joined the Ink guild. Continuing my brave quest to explore all corners of web3! guild.xyz/inkonchain

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What is Extreme Programming (XP)? Extreme Programming (XP) is an agile software development methodology focused on improving software quality and responsiveness to changing customer requirements. It emphasizes frequent releases in short development cycles, close collaboration between developers and stakeholders, and a focus on technical excellence. Key Principles of XP Customer Collaboration: Active involvement of the customer in the development process to provide continuous feedback and prioritize features. Frequent Releases: Small, incremental releases allow for early testing and faster delivery of value. Simplicity: Focus on implementing only what is needed, avoiding overengineering. Continuous Testing: Testing is integral to the process, ensuring the code works as expected from the beginning. Pair Programming: Two developers work together on the same code, improving quality and knowledge sharing. Refactoring: Continuous improvement of the codebase to ensure it remains clean, efficient, and adaptable.

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Collect How The Oracle Landscape Has Evolved Since Inception from The Rollup on Pods!

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What is Test-Driven Development (TDD)? Test-Driven Development (TDD) is a software development approach where tests are written before the actual code. This iterative process ensures code correctness, promotes clean design, and reduces bugs. The TDD cycle consists of three main steps: Write a failing test: Create a test for a new function or feature that does not yet exist. Make the test pass: Write the minimal code necessary to pass the test. Refactor: Improve the code’s structure while ensuring the test still passes. Key Benefits of TDD Code Reliability: Writing tests first ensures that all implemented features are covered and work as intended. Better Design: TDD encourages developers to write modular and maintainable code. Easier Debugging: When tests fail, you immediately know where the problem lies. Confidence in Changes: Tests act as a safety net, making refactoring and updates less risky.

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Collect AVS vs. Rollups: What's The Best Choice? from The Rollup on Pods!

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Collect What is zkTLS & why is it capturing large mindshare right now? from The Rollup on Pods!

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Collect Why User-Owned AI Matters More Than Ever with Sreeram Kannan from The Rollup on Pods!

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Collect How Camp Is Bridging The Gap With Social Data from The Rollup on Pods!

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Collect Crypto’s Impact on Content Creation and the Future of Tokenized Media from Mint Podcast on Pods!

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Python shines: Games: Python can be used to develop simple games using the Pygame library. It's ideal for creating 2D games and for learning the basics of game development. Mobile Applications: While Python is not the primary language for mobile development, libraries like Kivy and BeeWare enable the creation of cross-platform applications for both Android and iOS. Financial Applications: Python is widely used in financial analysis and trading due to its math libraries and its ability to integrate with stock exchanges and APIs. You can build trading bots or systems to manage investments. Networking and Cybersecurity: Python is often used in network programming and cybersecurity, with capabilities to build network utilities, scanners, penetration testing programs, and traffic analysis tools. Internet of Things (IoT): Python is popular for IoT projects on devices like Raspberry Pi, as it allows control over sensors, data processing, and integration with cloud services.

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Python is a versatile language that enables the creation of a wide range of applications and systems. Here are some of the popular areas where Python shines: Web Applications: Using frameworks like Django, Flask, and FastAPI, you can quickly build server-side web applications and APIs. Python is also popular for web automation tasks and web scraping. Automation Scripts: Python is ideal for automating routine tasks, such as file processing, web scraping (with libraries like BeautifulSoup), handling system processes, and integrating various services. Data Analysis and Machine Learning: Libraries like Pandas, NumPy, Matplotlib, TensorFlow, PyTorch, and scikit-learn make Python the go-to tool for data analysis, visualization, and developing machine learning and AI models. Desktop Applications: With libraries such as Tkinter, PyQt, or Kivy, you can create graphical user interfaces (GUIs) and full-featured desktop applications for Windows, macOS, and Linux.

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Completed Lesson 160 of FarSchool Season 5 with @farquest. What is the duration of a .cast handle minted on Ethereum? Spin for a chance to claim your FarPoints on https://far.quest/school today!

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Completed Lesson 159 of FarSchool Season 5 with @farquest. How can you recover tokens sent to the far.quest wallet on the wrong network? Spin for a chance to claim your FarPoints on https://far.quest/school today! Also, welcome to Farcaster @zondbe, @marina1984, and @ereminandrew86!

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Completed Lesson 164 of FarSchool Season 5 with @farquest. How can you check your Farcaster storage units? Spin for a chance to claim your FarPoints on https://far.quest/school today! Also, welcome to Farcaster @faizanofficial, @finnegan, and @echoingenigmaz!

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Key Features of Python Programming Python is known for its simplicity and versatility, making it popular in web development, data science, AI, and more. Simple Syntax: Python's clean, readable syntax makes coding faster and easier to understand. Dynamic Typing: Variables are assigned types at runtime, allowing flexibility but requiring careful type handling. Rich Libraries: Python's extensive standard library and ecosystem support a wide range of tasks, from web development to machine learning. Interpreted: Python runs code line by line, making debugging faster but execution slower than compiled languages. Cross-Platform: Python works across multiple operating systems, enhancing portability. Community Support: Python’s large, active community provides abundant resources for learning and problem-solving. In summary, Python’s ease of use, broad libraries, and cross-platform capabilities make it a top choice for developers of all levels.

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Just joined the Ink guild. Continuing my brave quest to explore all corners of web3! guild.xyz/inkonchain

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I just completed "EigenLayer Unlocked: Episode 6" on Layer3 - https://app.layer3.xyz/quests/eigenlayer-unlocked-episode-6

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Key advantages of Python Support for Multithreading and Concurrency: Python supports multithreading, though the Global Interpreter Lock (GIL) can limit performance for CPU-bound parallel tasks. However, Python provides powerful tools for asynchronous tasks and I/O operations.

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Key advantages of Python Memory Management: Python handles memory automatically using garbage collection, which simplifies memory management and reduces errors related to memory leaks.

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Key advantages of Python Extensibility and Integration: Python easily integrates with other languages like C, C++, Java, and .NET. It also allows the use of extensions to improve performance or interface with existing code written in other languages.

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