Tags: automation* + python*

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  1. Learn how to design, develop, deploy and iterate on production-grade ML applications.
  2. A guide to common pitfalls and best practices when starting with Playwright and Python, covering topics like browser context, waiting strategies, and handling different environments.
    2025-12-12 Tags: , , , , , by klotz
  3. This article details seven small Python scripts designed to automate common tasks and improve productivity on both Mac and Windows machines:

    **Script Name** | **Purpose** | **Key Features/Notes** |
    |---|---|---|
    | **Inbox Cleaner** | Cleans email inbox | Archives or deletes emails older than a specified number of days. Works with IMAP, compatible with most email providers. |
    | **S3 Backup** | Backs up files to cloud storage | Uploads files to an S3-compatible storage provider. Minimalist, suitable for daily/weekly backups. |
    | **Screenshot Sorter** | Organizes screenshots | Finds screenshots, sorts them by date into a tidy folder structure. Includes a dry-run mode. |
    | **Bulk Rename** | Renames multiple files | Renames files using patterns or sequentially. Uses regular expressions for advanced renaming. |
    | **Arrange It** | Organizes files into folders | Moves files into categorized folders based on their extension (Images, Docs, Spreadsheets, etc.). |
    | **Clipboard Save** | Saves clipboard history | Saves every new clipboard item to a daily text file. Creates a personal history of copied text. |
  4. A roundup of four lightweight Python utilities that automate common annoyances—sorting your Downloads folder, quickly logging timestamped notes, cleaning tracking parameters from copied URLs, and logging intermittent internet outages—each presented with source code and usage tips.
  5. An article detailing the author's experience replacing bash scripts with Python, outlining the improvements in readability, error handling, and testability, as well as the challenges encountered during the migration.
  6. Leveraging MCP for automating your daily routine. This article explores the Model Context Protocol (MCP) and demonstrates how to build a toolkit for analysts using it, including creating a local MCP server with useful tools and integrating it with AI tools like Claude Desktop.
  7. This practical guide uses SERP comparisons and Python to group keywords by intent, faster and more intuitively.
  8. Optuna is an open-source hyperparameter optimization framework designed to automate the hyperparameter search process for machine learning models. It supports various frameworks like TensorFlow, Keras, Scikit-Learn, XGBoost, and LightGBM, offering features like eager search spaces, state-of-the-art algorithms, and easy parallelization.
  9. Browser Use is a library that enables AI agents to interact with web browsers, making websites accessible for automated tasks. It includes features for browser automation, agent memory, and various demos showcasing its capabilities.
  10. This article explores ten underrated Python libraries that can help automate tasks, debug faster, and improve coding efficiency.

    - **Rich**: Terminal beautification
    - **PyWhatKit**: Automation tasks
    - **Pydantic**: Data validation
    - **Black**: Code formatting
    - **HTTPie**: API testing
    - **Typer**: Building CLI applications
    - **IceCream**: Debugging
    - **Poetry**: Package management
    - **Faker**: Generating fake data
    - **Pyppeteer**: Browser automation

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