Python Data Science Handbook: Essential Tools for Working with Data

Vanderplas, Jake: - Jake VanderPlas is a software engineer at Google Research, working on tools that support data-intensive research. He creates and develops Python tools for use in data-intensive science, including packages like Scikit-Learn, SciPy, AstroPy, Altair, JAX, and many others. He participates in the broader data science community, developing and presenting talks and tutorials on scientific computing topics at various conferences in the data science world.

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Categoria: Python, Open Source, Data Modeling & Design
Autor: Jake Vanderplas
Editura: O'reilly Media
An aparitie: 2023

Editie: Paperback

Nr. pagini: 550

Cod: BRT9781098121228

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Python Data Science Handbook: Essential Tools for Working with Data

De (autor): Jake Vanderplas

Python Data Science Handbook: Essential Tools for Working with Data

De (autor): Jake Vanderplas

Descrierea produsului

De pe acelasi raft

Python Data Science Handbook: Essential Tools for Working with Data - Jake Vanderplas

Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data - Nathan George

Python for Data Science: A Crash Course for Data Science and Analysis, Python Machine Learning and Big Data - Computer Science Academy

Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib - Robert Johansson

Applying Math with Python - Second Edition: Over 70 practical recipes for solving real-world computational math problems - Sam Morley

Pandas for Everyone: Python Data Analysis - Daniel Chen

Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark - Russell Jurney

Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python - Ryan T. White

Data Science Essentials in Python: Collect - Organize - Explore - Predict - Value - Dmitry Zinoviev

Introduction to Machine Learning with Python: A Guide for Data Scientists - Muller Andreas C.

Python Tools for Scientists: An Introduction to Using Anaconda, Jupyterlab, and Python's Scientific Libraries - Lee Vaughan

Building Data Science Solutions with Anaconda: A comprehensive starter guide to building robust and complete models - Dan Meador

Data Science and Machine Learning Interview Questions Using Python: A Complete Question Bank to Crack Your Interview (English Edition) - Vishwanathan Narayanan

Lost at Sea - Patrick Dillon

Guide to NumPy: 2nd Edition - Travis E. Oliphant Phd

Billionaire Unexpected Jax: The Billionaire's Obsession Series - J. S. Scott

Mastering Python - Second Edition: Write powerful and efficient code using the full range of Python's capabilities - Rick Van Hattem

Machine Learning for Biomedical Applications: With Scikit-Learn and Pytorch - Maria Deprez

Computer Programming And Cyber Security for Beginners: This Book Includes: Python Machine Learning, SQL, Linux, Hacking with Kali Linux, Ethical Hacki - Zach Codings

The Hundred-Page Machine Learning Book - Andriy Burkov

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