Advanced outline
A deep dive into Framer Motion's propagation, exit transitions and layout animation patterns through curated examples and interactive playgrounds.
Welcome to AI
- AI Overview: Introduction to AI, its importance, and potential.
- Getting Started with AI: Guide for absolute beginners, including what to expect and how to navigate the learning journey.
Foundational Knowledge
- AI and Machine Learning Basics: Key concepts, history, and the distinction between AI and machine learning.
- Mathematics for AI: Essential mathematical concepts, including statistics, probability, and linear algebra.
Technical Skills Development
- Programming for AI: Introductory and advanced resources for relevant programming languages (e.g., Python).
- AI Libraries and Frameworks: Guides and tutorials on TensorFlow, PyTorch, Scikit-learn, and others.
- Data Science and Analysis: Understanding data collection, preprocessing, and analysis.
Releasing high-quality Android apps is a continuous challenge. Every new build carries the risk of introducing bugs that can frustrate users and tarnish your app’s reputation. That’s why we’re excited to announce a powerful new addition to Firebase App Distribution – automated smoke testing for Android apps. This new capability, called Automated Tester (Beta), empowers you to uncover critical issues within minutes, streamlining your release process and safeguarding your app’s quality.
What is Smoke Testing? Smoke testing is a type of software testing that verifies the core functionalities of an application. It’s like a quick health check – ensuring that the ‘engine’ of your app is running without any major hiccups. Smoke tests are designed to be fast and lightweight, allowing you to quickly assess the overall stability of your build.