Dmitry Zinoviev's " Data Science Essentials in Python " is a 2016 Pragmatic Bookshelf publication designed as a modular quick reference for navigating the data science lifecycle. The book provides essential, hands-on techniques for data acquisition, cleaning, processing, and visualization using Python libraries like NumPy and Pandas. For more details, visit Pragmatic Bookshelf . Go to product viewer dialog for this item.
Data Science Essentials in Python: Collect - Organize - Explore - Predict - Value Data Science Essentials in Python: Collect - Or...