Python for Data Science For Dummies, 2nd Edition (For Dummies (Computer/Tech)) - Softcover

Über die Autorinnen und Autoren

John Paul Mueller is a tech editor and the author of over 100 books on topics from networking and home security to database management and heads-down programming. Follow John's blog at http://blog.johnmuellerbooks.com/. Luca Massaron is a data scientist who specializes in organizing and interpreting big data and transforming it into smart data. He is a Google Developer Expert (GDE) in machine learning.

John Paul Mueller is a tech editor and the author of over 100 books on topics from networking and home security to database management and heads-down programming. Follow John's blog at http://blog.johnmuellerbooks.com/. Luca Massaron is a data scientist who specializes in organizing and interpreting big data and transforming it into smart data. He is a Google Developer Expert (GDE) in machine learning.

Von der hinteren Coverseite

• Learn Python data analysis programming and statistics
• Write code in the cloud with Google Colab'
• Wrangle data and visualize information

Relax! Data science doesn't have to be scary

Curious about data science, but a bit intimidated? Don't be! This book shows you how to use Python to do all sorts of cool things with data science. You'll see how to install the Anaconda tool suite, so working with Python is a breeze. You'll discover Google Colab, which lets you write code in the cloud using your tablet. You'll find out how to perform all kinds of interesting calculations using the latest version of Python. And you'll learn to use the various libraries that enable scientific statistical analysis, plotting and graphing, and much more.

Inside...

• Python set-up for data science
• Working with Jupyter Notebook
• Conditioning and shaping data
• Graphing with MatPlotLib
• Ways to analyze your data
• Getting more from Python
• Useful data science algorithms
• Ten essential data resources

Aus dem Klappentext

• Learn Python data analysis programming and statistics
• Write code in the cloud with Google Colab™
• Wrangle data and visualize information

Relax! Data science doesn't have to be scary

Curious about data science, but a bit intimidated? Don't be! This book shows you how to use Python to do all sorts of cool things with data science. You'll see how to install the Anaconda tool suite, so working with Python is a breeze. You'll discover Google Colab, which lets you write code in the cloud using your tablet. You'll find out how to perform all kinds of interesting calculations using the latest version of Python. And you'll learn to use the various libraries that enable scientific statistical analysis, plotting and graphing, and much more.

Inside...

• Python set-up for data science
• Working with Jupyter Notebook
• Conditioning and shaping data
• Graphing with MatPlotLib
• Ways to analyze your data
• Getting more from Python
• Useful data science algorithms
• Ten essential data resources