Generally, the following rule of thumb can be used: Use rebase if you have a local branch with no other branches that have branched off from it, and use merge for all other cases.

Hydra is an open-source Python framework that simplifies the development of research and other complex applications. The key feature is the ability to dynamically create a hierarchical configuration by composition and override it through config files and the command line. The name Hydra comes from its ability to run multiple similar jobs - much like a Hydra with multiple heads.

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tl;dr – As a long time Windows user and .NET developer, I’m challenging myself to level-up my skills using Git and GitHub, especially on Windows. As an industry, I feel we provide great content for beginners and for experts, but how do we target content for people in the intermediate category? Therefore, I’m going to blog every single day in 2017 about something new I’ve learned about using Git and GitHub. I’m hoping that showing my day by day progression can help others who are in similar situations, i.e. trying to reskill after years of industry experience.

Market time series data is stored in a completely different way. In fact, I would say it is prepared rather than stored. Each data item only needs to be written once and after that never needs to be modified or changed. Data items can be written sequentially, there is no need to insert anything in the middle. It needs no ACID functionality at all. They have little to no references out to any other data. The time series is effectively its own thing.

Ever since Yahoo! Finance decommissioned their historical data API, Python developers looked for a reliable workaround. As a result, my library, yfinance, gained momentum and was downloaded over 100,000 acording to PyPi.