Productive and Efficient Data Science with Python by Tirthajyoti Sarkar

Author:Tirthajyoti Sarkar
Language: eng
Format: epub
ISBN: 9781484281215
Publisher: Apress

Python has an amazing ecosystem for data science work, starting from numerical analysis to advanced deep learning or reinforcement learning, with statistical modeling and visualization thrown in as well. A great open-source culture keeps new and exciting developments coming and thriving. Data scientists can learn, contribute code, share their experience, help debug, and support each other in this environment.

There are some predominant libraries and packages in this ecosystem that are used by almost all data scientists in their daily job. I touch upon them in the next section. However, there are also some little-known Python packages (the so-called hidden gems, as in Figure 7-1) that can help you do common data science jobs faster and more efficiently. They are not general-purpose large projects like NumPy or pandas. Instead, they focus on some niche aspects of similar data science tasks and do them well.

Figure 7-1There are hidden gems beyond the great Python data science ecosystem

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