How to Use Python Data Science Packages More Productively
Tirthajyoti Sarkar · Apress eBooks · 2022
Python is, without any doubt, the most used and fastest growing programming language of choice for data scientists (and other related professionals such as machine learning engineers or artificial intelligence researchers) all over the world. There are many reasons for this explosive growth of Python as the lingua franca of data science. Probably the most important reason for its growth is the amazing open-source community activity and the resulting ecosystem of powerful and rich libraries and frameworks focused on data science work. However, just because these libraries provide easy APIs and smooth learning curves does not mean that everybody uses them in a highly productive and efficient manner. One must explore these libraries and understand both their powers and limitations to exploit them fully for productive data science work. This is the goal of this chapter: to show how and why these libraries should be used in various typical data science tasks for achieving high efficiency.