Summary: Explores word prediction/autocomplete using a trie data structure. Includes a demo and the source code of the trie implementation.
Summary: Explains Python import basics, relative vs. absolute imports, import resolution, and provides examples to clarify common import scenarios.
Summary: Discusses the anti-patterns of testing private methods and mocking class under test methods. It emphasizes the importance of focusing on behavior, refactoring when necessary, and testing in line with production conditions.
Summary: A Python example of a Markov model. How to implemented a Markov chain to generate sentences based on a given text file. Describes the process of building a dictionary of word chains and demonstrate how the model can generate sentences.
Summary: How to set up browser automation using Google browsers, emphasizing Chromium, which has advantages over Chrome, including the ability to access previous builds. Also covers the use of ChromeDriver and automation frameworks like WebDriverIO, as well setting up the Widevine DRM library and command-line switches.