Best of Python — January 2025

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    Article
    Avatar of mlmMachine Learning Mastery·1y

    The Roadmap for Mastering Machine Learning in 2025

    Machine learning (ML) is integral to many sectors, making it a valuable skill by 2025. This guide offers a step-by-step roadmap for mastering ML, starting with prerequisites in mathematics and programming, followed by core ML concepts, deep learning, and specialization in fields like computer vision or NLP. It also covers model deployment and building a portfolio to showcase projects. The emphasis is on practical learning through projects and continuous skill enhancement.

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    Article
    Avatar of pulumiPulumi·1y

    Python for DevOps

    Python is highly versatile for both quick fixes and long-term infrastructure in DevOps. It excels at building custom solutions and automating tasks using libraries like Django, Flask, Prometheus, Schedule, and Airflow. Additionally, Python supports network analysis with Scapy, security scanning with Bandit, container management with Docker SDK, and infrastructure as code with Pulumi. Combining these tools allows the efficient creation of dashboards, automations, and complex deployments from a single language.

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    Article
    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·1y

    Pandas Mind Map

    A detailed mind map of various Pandas methods categorized by their operation types, including I/O methods, DataFrame creation, statistical information, renaming, plotting, time-series, grouping, pivot, and categorical data methods. Additional ML resources and techniques are also provided for developing industry-relevant skills.

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    Article
    Avatar of freecodecampfreeCodeCamp·1y

    How to Build an Application with AWS Lambda

    Learn how to build a Goal Manifestation Quote App using AWS Lambda, Amazon S3, Amazon Simple Notification Service (SNS), and Amazon EventBridge. This tutorial covers the steps to set up your development environment, create an S3 bucket, set up SNS for notifications, create Lambda functions, and automate tasks with EventBridge. By the end, you'll be able to send random inspirational messages to keep you motivated and focused on your goals.

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    Article
    Avatar of communityCommunity Picks·1y

    browser-use/web-ui: Run AI Agent in your browser.

    WebUI, built on Gradio, extends the browser-use project, enabling AI agents to interact with web browsers. It supports multiple large language models like OpenAI and Gemini and offers features like custom browser support and persistent browser sessions. Users can customize the WebUI and run it locally using Python 3.11, Docker, and the Playwright tool. AI tasks can be executed with the browser window open between sessions to maintain history and state.

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    Article
    Avatar of lobstersLobsters·1y

    Django vs. FastAPI, An Honest Comparison

    The post compares Django and FastAPI, highlighting their strengths and weaknesses based on real-world experience. Django offers an 'all-batteries-included' approach with everything you need in one package, while FastAPI focuses more on flexibility and performance, requiring additional setup for many features. Django enforces a structured MVT architecture and has a more democratized governance model, whereas FastAPI offers more control and modern features like async support and type safety but relies heavily on external tools. Choosing between them depends on your specific project requirements and the type of skills you want to develop.

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    Video
    Avatar of TechWithTimTech With Tim·1y

    How I Built a Full-Stack AI App in 5 Hours (Agents, Streamlit, Python & More)

    The post describes the process of building a coding AI tutor assistant that tracks progress, generates quizzes, and provides resources. The author explains their planning method, the technology stack they chose (Parland for AI, Streamlit for the front end, Python for the backend, and MongoDB for the database), and shares their experience of coding the application in 5 hours. The post highlights the seamless integration of different technologies and the use of AI to expedite development.

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    Article
    Avatar of towardsdevTowards Dev·1y

    Algorithms in Python

    Algorithms are step-by-step instructions to solve problems, categorized by purpose such as sorting, searching, and graph traversal. Python is ideal for implementing these algorithms, with examples like merge sort for sorting, binary search for searching, and Dijkstra's algorithm for finding the shortest paths in graphs. Essential algorithm characteristics include definiteness, input, output, finiteness, and effectiveness.

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    Video
    Avatar of programmingwithmoshProgramming with Mosh·1y

    From Zero to Blockchain Developer in 10 Months: Complete Roadmap

    A complete roadmap to become a blockchain developer in 8-10 months by studying 3-5 hours a day. It covers learning Python or JavaScript, using Git for version control, mastering data structures and algorithms, writing smart contracts with Solidity using Remix IDE, deploying them with Hardhat, and building decentralized applications using React and web3 libraries like web3.js or ethers.js. Supplementary resources like tutorials and courses are provided.

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    Article
    Avatar of minimaxirMax Woolf's Blog·1y

    Can LLMs write better code if you keep asking them to “write better code”?

    The post explores the concept of iteratively improving code quality using LLMs like Claude 3.5 Sonnet by repeatedly asking the model to 'write better code.' Initial results of using basic prompts to refine a Python code sample show significant performance improvements, demonstrating an iterative speedup from a baseline of 657 milliseconds to code that runs in about 6 milliseconds after several iterations. Further experiments using prompt engineering, which explicitly guide the LLM with detailed instructions, yield even more optimized code. However, the process also reveals the limitations of LLMs, highlighting the necessity for human oversight to ensure correctness and manage subtle bugs.

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    Article
    Avatar of pulumiPulumi·1y

    Host your Python app for $1.28 a month

    Discover how to host low-traffic Python applications on AWS Lambda for minimal cost. Using containers, developers can leverage Lambda to maintain high availability while paying only when their service is called. The post describes the process of containerizing a Flask app and deploying it with Pulumi, minimizing the need for extensive serverless knowledge. This approach allows for zero cost when idle and scalable infrastructure, benefiting APIs with sporadic traffic and cost-sensitive projects.

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    Article
    Avatar of detlifeData Engineer Things·1y

    Apache Airflow Overview

    Apache Airflow, created at Airbnb in 2014 and now an open-source project under Apache, is a popular orchestration tool for managing complex data workflows. It operates using Directed Acyclic Graphs (DAGs) to define tasks and their dependencies. Core components include the Scheduler, Web Server, Metadata Database, and Workers. Airflow supports task concurrency, resource management, and integrations with external systems via operators and hooks. It offers various executors for task management, including SequentialExecutor, LocalExecutor, CeleryExecutor, and KubernetesExecutor. Deployment options range from single-machine setups to distributed and Kubernetes-based environments.

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    Article
    Avatar of hnHacker News·1y

    EnhancedJax/Bagels: Powerful expense tracker that lives in your terminal.

    Bagels is a terminal-based expense tracker designed for convenience and local data storage. It features account management, templates for recurring transactions, insights, customizable keybindings, and budget tools. The app supports MacOS and Windows, with detailed installation instructions provided.

  14. 14
    Article
    Avatar of awegoAwesome Go·1y

    Scaling LLMs with Golang: How we serve millions of LLM requests

    Using Golang for production deployments of LLMs has proven efficient for handling millions of requests. Key benefits include its type safety, concurrency with goroutines, and composable interfaces. Despite Python's dominance in ML development, combining it with Golang allows leveraging both languages' strengths for a robust and scalable system.

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    Video
    Avatar of codingwithlewisCoding with Lewis·1y

    This App Wanted $700 So I Built it Myself with Python

    The post discusses how the author built a voice dictation app using Python to avoid purchasing expensive software like Dragon Professional. Various speech recognition models, including Whisper by OpenAI, are explored. The implementation involves using the Whisper model with an Nvidia GPU and the keyboard library to transcribe and input speech in real-time. The process is demonstrated using PyCharm. The project also incorporates OCR for better context understanding and mentions contributions to an open-source project, Whisper Writer.

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    Video
    Avatar of codinggopherThe Coding Gopher·1y

    Why You’ll NEVER Become a Senior Engineer Using Python

    Senior engineering in software development requires in-depth understanding of underlying system mechanics like memory management and data alignment, which languages like Python often abstract away. Exploring C language and its functions like malloc, which dynamically allocates memory on the heap, reveals the complexities of managed and unmanaged memory, alignment, and system calls. These insights are crucial for writing optimized and performance-conscious code.

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    Video
    Avatar of youtubeYouTube·1y

    How to Learn Hacking (2025) - a Practical Guide

    Learning hacking requires persistence and a strong foundation. Start with networking basics, using tools like Cisco Packet Tracer and TryHackMe. Master tools such as Wireshark and platforms like Ubuntu and Kali Linux. Experiment with tools like Nmap and Burp Suite, and learn programming basics with Python and Bash scripting. Build a virtual lab for practical experience, use platforms like Hack The Box, and engage with the community for support. Cyberflow’s Academy offers structured, step-by-step guides and a supportive community for aspiring hackers.

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    Article
    Avatar of communityCommunity Picks·1y

    zhanymkanov/fastapi-best-practices: FastAPI Best Practices and Conventions we used at our startup

    Opinionated list of best practices for FastAPI development, including project structure, async routes, Pydantic, and dependency management. It covers a comprehensive folder structure inspired by Netflix's Dispatch, explains the handling of async and sync routes, emphasizes the importance of Pydantic for validations, and provides insights on organizing dependencies for effective request validation. Additional notes on database naming conventions, migration practices, API documentation, and integration tests are also included.

  19. 19
    Article
    Avatar of rpythonReal Python·1y

    Creating a Scalable Flask Web Application From Scratch – Real Python

    Learn to create a scalable Flask web application from scratch in this comprehensive video course. The course covers setting up a Flask project, creating a basic app, adding multiple pages with blueprints, using Jinja templates, and managing static files. It includes 14 lessons with subtitles, downloadable resources, a text-based tutorial, and Q&A with Python experts.

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    Video
    Avatar of davidbombalDavid Bombal·1y

    Hacking Tools (with demos) that you need to learn in 2025

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    Video
    Avatar of tiffintechTiff In Tech·1y

    Code With Me: Automating My Life With Python and AI

    Learn to build a fun computer vision project using Python and AI with hands-on guidance. Explore how to create a virtual environment, install necessary packages, and utilize AI tools like OpenCV to develop a program that detects hand movements to keep track of coffee consumption and hydration needs. Suitable for both beginners and experienced developers.

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    Article
    Avatar of hnHacker News·1y

    serengil/deepface: A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

    DeepFace is a Python library for face recognition and facial attribute analysis, wrapping state-of-the-art models like VGG-Face, FaceNet, OpenFace, and others. It offers functionalities like face verification, recognition, embedding extraction, and attribute analysis (age, gender, emotion, race). DeepFace supports various face detection and alignment tools, provides API and Docker support, and can be used for real-time video analysis. The library can be easily installed via PyPI or from source and is designed to be user-friendly, requiring minimal knowledge of underlying processes.

  23. 23
    Article
    Avatar of javarevisitedJavarevisited·1y

    How to Learn Data Analytics in 2025? (with Resources)

    Data analytics is a highly sought-after skill in 2025, offering competitive salaries and diverse opportunities across industries. To master this field, it's recommended to use a combination of reading books, watching online tutorials and courses, doing projects, joining bootcamps, and gaining real-world experience. Google offers two key certificate programs on Coursera: the Google Data Analytics Professional Certificate for beginners and the Google Advanced Data Analytics Certificate for those looking to dive deeper. These programs cover essential skills such as data cleaning, statistical analysis, data visualization, and SQL. Additionally, platforms like DataCamp and Kaggle can further enhance your learning experience.

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    Article
    Avatar of hnHacker News·1y

    pyper-dev/pyper: Concurrent Python made simple

    Pyper is a flexible framework for concurrent and parallel data-processing using functional programming patterns. It simplifies writing ETL systems, data microservices, and data collection with its intuitive API and clean abstractions. Pyper supports threaded, multiprocessed, and asynchronous tasks, ensuring safety and efficiency with lazy execution and zero sub-dependencies. It provides a unified API for threading, multiprocessing, and asyncio, enabling the creation of composable pipelines.

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    Video
    Avatar of networkchuckNetworkChuck·1y

    Hacker's Roadmap 2025 (how to get started in IT)

    The post provides a comprehensive roadmap for individuals looking to start a career in IT in 2025, emphasizing foundational skills and certifications without the need for a college degree. It highlights the importance of applying for IT jobs immediately, acquiring certifications like CompTIA A+, Security+, and the CCNA, and the significance of learning Linux and Python. Additionally, it discusses building a home lab to apply practical skills, and the potential of transitioning into cybersecurity, specifically ethical hacking.

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