Welcome to Anaira Enterprises your own Wholesale Books Store: Product Description For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all?IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you?ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms About the Author Jake VanderPlas is a long-time user and developer of the Python scientific stack. He currently works as an interdisciplinary research director at the University of Washington, conducts his own astronomy research, and spends time advising and consulting with local scientists from a wide range of fields. Shipping and Handling We take handling time of 1-3 Business Day from the date of receipt of the payment after receiving cleared payment. The shipping company takes 6-15 business days to deliver the product. This transit time does not include the seller's handling time. Transit time includes normal weekdays. Often Saturdays, Sundays, and major holidays are not included in transit time estimates. Business day does not include Sundays. Feedback Feedback DSRs (Detailed Seller Ratings). We Strive for 100%Customer Satisfaction and we love to leave positive feedback's for our buyers. Negative feedback is not a solution. So, we request you to contact us and give us a chance to resolve it asap. Thank You and Happy Shopping.