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Pcgamer
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Microsoft CEO Satya Nadella says AI generates 'fantastic' Python code, and that it now creates 'maybe 20 - 30% of the code ... in some of our projects'
- Microsoft CEO Satya Nadella mentioned in a chat with Meta CEO Mark Zuckerberg that AI generates about 20 to 30% of the code in some of their projects, with Python code being described as 'fantastic'.
- Nadella clarified that the AI is creating fresh code in different languages, particularly excelling in Python but needing improvement in C++.
- CTO Kevin Scott anticipates that 95% of Microsoft's code will be AI-generated by 2030, and other tech giants like Google are also leveraging AI for code generation.
- While AI-generated code offers benefits like improved security, there are concerns about potential risks due to AI 'hallucinating' dependencies, highlighting the importance of thorough code verification before implementation.
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Medium
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Building Scalable Python Projects: What I Wish I Knew Earlier
- The article discusses lessons learned from building a marketing analytics dashboard with a Large Language Model (LLM) using Python.
- Understanding the fundamentals of Flask, Uvicorn, and APIs is crucial before delving into complex project aspects.
- Organizing the project structure is essential for scalability, with separate modules for routes, models, services, and utilities.
- Flask Blueprints are recommended for organizing routes based on features or resources.
- Services act as intermediaries between routes and models, handling business logic efficiently.
- Clear pipeline design is crucial for multi-step processes, ensuring clarity on input and output of main functions.
- Type hints, prefixed underscores for internal functions, and proper package structuring aid in code maintainability.
- Naming conventions like using underscores for internal functions help define clear API boundaries and prevent namespace pollution.
- Structured packaging, understanding __init__.py usage, and avoiding circular imports contribute to cleaner code organization.
- Proper packaging also facilitates writing tests and running code in different contexts efficiently.
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Dev
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Improve Your Python Search Relevancy with Astra DB Hybrid Search
- Astra DB now supports hybrid search, combining vector search and BM25 keyword search to improve search relevancy by up to 45%.
- Hybrid search involves performing both vector and keyword searches, then reranking the results for better accuracy.
- Reranking is done by a cross-encoder model that scores relevance based on the query and document.
- To use Astra DB Hybrid Search in Python, install astrapy and python-dotenv dependencies.
- Creating a collection in Astra DB for hybrid search involves setting vector metrics and lexical settings.
- You can insert and index data for hybrid search with provided embeddings and text for keyword search.
- Performing a hybrid search involves using $hybrid as the sort field and reranking based on different scores.
- Providing your own vectors for search is possible and reranking can be based on a custom query.
- Different search queries can be used for initial searches to improve relevancy in RAG applications.
- Hybrid search combines vector search, keyword search, and reranking to enhance search accuracy and relevance in Astra DB.
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Dev
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270
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Pymupdf: A Python Library That Reduces the Size of PDF files
- PyMuPDF is a Python library used for various tasks including reducing the size of PDF files.
- PDF files can bloat due to factors like high image resolutions and embedded fonts.
- To reduce PDF size using PyMuPDF, one must install the library, import necessary modules, and compress the file.
- The process involves loading the original PDF, scaling the content, converting it to JPEG, and inserting it into a new compressed document.
- After compression, the new PDF is saved, and the original and compressed file sizes are displayed.
- PyMuPDF can be applied for email attachments, web performance, and storage management in various settings.
- Utilizing PyMuPDF with Streamlit allows for a user-friendly interface to handle file compression.
- Streamlit setup involves creating a page, handling files, allowing user control, and managing the processing flow.
- To run Streamlit locally, the GitHub repository for the project needs to be cloned, and Streamlit should be installed.
- By running the Streamlit file, a local URL is generated for building and running mini projects like the PDF compressor.
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Medium
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Wave to Win: How Python’s Hand Gesture Magic is Transforming Gaming
- Hand gesture recognition uses computer vision to interpret human hand movements as input commands.
- Python is an ideal platform for building gesture-based gaming systems, offering accessibility for beginners and advanced capabilities for developers.
- GestureLeap project exemplifies how Python can be used to create a gesture-controlled gaming interface.
- Gesture control offers a more immersive and intuitive gaming experience, bridging the gap between players and the game world.
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Dev
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Bringing Python 3.10’s Pattern Matching to Python 3.7+ with Patterna
- Python 3.10 introduced structural pattern matching for concise, expressive code, but older Python versions lacked this feature until Patterna.
- Patterna is an open-source library that brings Python 3.10's pattern-matching syntax to Python 3.7+ using a simple @match decorator.
- Pattern matching simplifies code by directly matching on values, lists, dicts, and custom objects, improving readability and reducing boilerplate.
- It allows matching sequences like user input lists and dictionaries like API responses or JSON data with named fields.
- Patterna provides near-Python-3.10 syntax compatibility, making it a powerful tool for handling complex inputs and nested data structures.
- The library introduces @match decorator that allows defining functions with case patterns and blocks similar to Python 3.10's match/case statements.
- Examples include matching simple values, sequences, dictionaries (API responses), custom classes, user input routing, and data validation, all leading to cleaner code.
- Patterna is installed using pip and supports matching on literals, lists, tuples, dicts, custom classes, wildcards, and variable captures.
- By emulating Python's pattern matching behavior, Patterna makes code more declarative and manageable, providing a significant upgrade for Python 3.7-3.9.
- Efficient use cases of Patterna include API response handling, user command routing, configuration validation, object dispatch, and data validation.
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RealPython
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Thread Safety in Python: Locks and Other Techniques
- This course is about the various primitives you can use to ensure atomic access to your program’s shared state.
- By the end of this video course, you’ll be able to identify safety issues and prevent them by using the synchronization primitives in Python’s threading module to make your code thread-safe.
- You'll learn what thread safety is, how to avoid race conditions, identify thread safety issues in your code, the different synchronization primitives in the threading module, and how to use them to make your code thread-safe.
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Dev
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205
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FastRTC: Real-Time Communication Made Easy for Python Developers
- FastRTC is a Python library that simplifies the creation of real-time communication applications.
- FastRTC allows developers to easily convert Python functions into audio and video streams accessible via WebRTC or WebSockets.
- The library offers features like automatic voice detection, UI generation, and support for telephone communication, making it easy to build interactive applications.
- FastRTC has received 3795 stars, 328 forks, and currently has 37 open issues on GitHub.
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Arstechnica
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Monty Python and the Holy Grail turns 50
- Monty Python and the Holy Grail is celebrating its 50th anniversary.
- The film is considered one of the best comedy films of all time.
- Despite mixed initial reviews, it became the top-grossing British film shown in the US in 1975.
- The cultural influence of the film extends to scholarly papers and various comedic techniques used.
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Medium
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Using curl_cffi for Web Scraping in Python
- curl_cffi is a Python library acting as an HTTP client for web scraping.
- It impersonates real web browsers' TLS fingerprints to bypass bot detection techniques.
- curl_cffi can be used with Bright Data's Residential Proxies to avoid blocks and CAPTCHAs.
- It supports features like managing sessions, handling authentication, and using proxies for scraping.
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Medium
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Using APIs with Python: SOAP vs REST vs GraphQL
- Python has become one of the best languages for working with APIs.
- There are three main types of APIs: SOAP, REST, and GraphQL.
- SOAP (Simple Object Access Protocol) is a protocol that uses XML for communication.
- SOAP messages are structured and rely on standards for security and description.
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Medium
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146
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Reversible Anonymizer: A Python Package for Text Anonymization
- Reversible Anonymizer is a Python package that provides text anonymization solutions.
- It leverages Google Cloud's Data Loss Prevention (DLP) API for detection and replacement of sensitive information in text.
- The package allows the anonymization process to be reversed to recover the original information when needed.
- Reversible Anonymizer is designed for enterprise environments, with features such as scalability, security, and reliability.
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Towards Data Science
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Hands-on Multi Agent LLM Restaurant Simulation, with Python and OpenAI
- OpenAI released a 34-page PDF guide explaining LLM Agents, which are systems that autonomously perform tasks.
- LLM Agents are designed to create actionable outputs in a system, integrating well with various functions and tools.
- Multiple LLM Agents can be integrated in a cascading manner to enhance the overall pipeline quality.
- The article illustrates the concept using a restaurant simulation, incorporating customer, waiter, and entertainment agents.
- A system design for the LLM Agent restaurant is presented, followed by an agent-free restaurant implementation.
- The implementation includes simulating customer arrival, order processing, cooking, departures, and seating via a queue.
- The article then progresses to incorporating LLM Agents into the restaurant simulation for interactive customer interactions.
- A GUI is implemented to display customer interactions with waiter and entertainment agents, showcasing AI-enhanced operations.
- The author emphasizes the importance of using AI technology responsibly and highlights potential applications in assisting queued customers and restaurant simulations.
- The article concludes with the author's invitation to connect and discusses the potential benefits and challenges of AI in the hospitality industry.
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Medium
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366
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From Zero to Hero: Master Python for Any Job
- Python has become one of the most important and popular programming languages in today’s technology-driven world.
- IIBS offers an Online Python Training course in Canada to help learners build strong Python skills for career growth.
- Python is popular and widely used in various fields, making Python skills highly valuable.
- The IIBS Python course covers real-world projects, is flexible for all learners, and focuses on data science and AI.
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Medium
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64
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The Truth About Python: When It Shines and When It Fails
- Python is a popular programming language known for its simplicity, readability, and large ecosystem.
- Python may not be the best choice for performance-critical applications due to its interpreted nature.
- In mobile app development, Python frameworks like Kivy and BeeWare may not offer optimal performance and responsiveness.
- Python is widely used for machine learning, automation, scripting, and web development, thanks to its libraries and frameworks.
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