- Amphetamine: A powerful tool to prevent your Mac from sleeping or going into standby mode, useful for extended work sessions.
- Rectangle: A window management app that helps you organize and snap windows to predefined areas on your screen. (Note: This functionality will be built-in with MacOS Sequoia.)
- Appcleaner: A utility for thoroughly uninstalling unwanted apps and cleaning up residual files, ensuring your Mac stays clutter-free.
- Datagrip: A robust database manager by JetBrains, providing advanced tools and support for various database systems.
- Oh My Zsh: A delightful, open-source, community-driven framework for managing your Zsh configuration, and enhancing your terminal experience with themes and plugins.
Nice To Have Apps
- Anydesk: A remote desktop application that allows you to access and control your Mac from anywhere.
- ChatGPT Official App: The official app for OpenAI's ChatGPT, providing convenient access to AI-powered conversations.
- Goodnotes: A digital note-taking app that's great for iPad users, offering seamless cross-device support for handwritten and typed notes.
- Notion: A versatile workspace app for note-taking, task management, and project collaboration.
- OpeninTerminal: A handy utility to open your terminal directly from Finder, saving time for developers and power users.
- Postman: An essential tool for API development, testing, and documentation.
- Termius: A secure and versatile SSH client that supports remote access to servers and network devices.
- Grammar Desktop: An application to enhance your writing by checking grammar and style.
Technologies: Go (Programming Language) Python (Programming Language) Open-Source Development Community Development R Operations Research Decision Support System Algorithms Redis SQL Elasticsearch C (Programming Language) Kubernetes Docker Products GraphQL Concurrent Programming JavaScript PHP Git React.js Laravel CSS HTML Apache Kafka RabbitMQ
Cool course! But I was looking more for personal ML blogs tho, where people explain their particular experience with ML. The kind of things that are interesting enough to be wrote down but not scientific enough to be published in a journal.
