- Добавил: literator
- Дата: 10-10-2020, 01:41
- Комментариев: 0

Автор: Purna Chander Rao. Kathula
Издательство: BPB Publications
Год: 2020
Страниц: 411
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Learn how to use JupyterLab, Numpy, Pandas, Scipy, Matplotlib, and Seaborn for Data science. The book will start with quick introductions to Python and its ecosystem libraries for data science such as JupyterLab, Numpy, Pandas, SciPy, Matplotlib, and Seaborn. This book will help in learning Python data structures and essential concepts such as Functions, Lambdas, List comprehensions, Datetime objects, etc. required for data engineering. It also covers an in-depth understanding of Python data science packages where JupyterLab used as an IDE for writing, documenting, and executing the python code, Numpy used for computation of numerical operations, Pandas for cleaning and reorganizing the data, handling large datasets and merging the dataframes to get meaningful insights.