Python Data Science Essentials - Second Edition

✍ Scribed by Luca Massaron, Alberto Boschetti

Publisher: Packt Publishing
Year: 2016
Tongue: English
Edition: 2
Category: Library

No coin nor oath required. For personal study only.

✦ Subjects

Python (Computer program language);Database management.;Information visualization.;COMPUTERS -- Computer Literacy.;COMPUTERS -- Computer Science.;COMPUTERS -- Data Processing.;COMPUTERS -- Hardware -- General.;COMPUTERS -- Information Technology.;COMPUTERS -- Machine Theory.;COMPUTERS -- Reference.

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Python Data Science Essentials - Second

📁 Python Data Science Essentials - Second Edition

✍ Alberto Boschetti, Luca Massaron 📂 Library 📅 2016 🏛 Packt Publishing - ebooks Account 🌐 English

<h4>Key Features</h4><ul><li>Quickly get familiar with data science using Python 3.5</li><li>Save time (and effort) with all the essential tools explained</li><li>Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience</li></ul><h4>

Python Data Science Essentials - Second

📁 Python Data Science Essentials - Second Edition

✍ Massaron, Luca;Boschetti, Alberto 📂 Library 📅 2016 🏛 Packt Publishing 🌐 English

Fully expanded and upgraded, the second edition of Python Data Science Essentials takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look b

Python Data Science Essentials

📁 Python Data Science Essentials

✍ Luca Massaron; Alberto Boschetti 📂 Library 📅 2016 🏛 Packt Publishing 🌐 English

Python Data Science Essentials

📁 Python Data Science Essentials

✍ Luca Massaron; Alberto Boschetti; O'Reilly for Higher Education (Firm) 📂 Library 📅 2018 🌐 English

Python Data Science Essentials

📁 Python Data Science Essentials

✍ Alberto Boschetti, Luca Massaron 📂 Library 📅 2018 🏛 Packt Publishing 🌐 English

Fully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries. This book offers up-to-date insight into the core of Python, including the latest versions of the Jupyter Notebook, NumPy, pandas

Python Data Science Essentials

📁 Python Data Science Essentials

✍ Boschetti, Alberto;Massaron, Luca 📂 Library 📅 2016 🏛 Packt Publishing 🌐 English

NumPy's fast operations and computations -- Matrix operations -- Slicing and indexing with NumPy arrays -- Stacking NumPy arrays -- Summary -- Chapter 3: The Data Pipeline -- Introducing EDA -- Building new features -- Dimensionality reduction -- The covariance matrix -- Principal Component Analysis