Python for Biologists: a complete programming course for beginners /
Jones, Martin
Python for Biologists: a complete programming course for beginners / Python for data science by Dr Martin Jones (Author) - 244 pages : illustrations ; 24 cm - For dummies .
Includes index.
pt. I. Getting started with Python for data science -- Discovering the match between data science and Python -- Introducing Python's capabilities and wonders -- Setting up Python for data science -- Reviewing basic Python -- pt. II. Getting your hands dirty with data -- Working with real data -- Conditioning your data -- Shaping data -- Putting what you know in action -- pt. III. Visualizing the invisible -- Getting a crash course in MatPlotLib -- Visualizing the data -- Understanding the tools -- pt. IV. Wrangling data -- Stretching Python's capabilities -- Exploring data analysis -- Reducing dimensionality -- Clustering -- Detecting outliers in data -- pt. V. Learning from data -- Exploring four simple and effective algorithms -- Performing cross-validation, selection, and optimization -- Increasing complexity with linear and nonlinear tricks -- Understanding the power of the many -- pt. VI. The part of tens -- Ten essential data science resource collections -- Ten data challenges you should take.
978-1492346135
Python (Computer program language)
Programming languages (Electronic computers)
Data mining.
Data structures (Computer science)
Data mining.
Data structures (Computer science)
Programming languages (Electronic computers)
Python (Computer program language)
QA76.73.P98 / M376 2015
005.133 / JOP
Python for Biologists: a complete programming course for beginners / Python for data science by Dr Martin Jones (Author) - 244 pages : illustrations ; 24 cm - For dummies .
Includes index.
pt. I. Getting started with Python for data science -- Discovering the match between data science and Python -- Introducing Python's capabilities and wonders -- Setting up Python for data science -- Reviewing basic Python -- pt. II. Getting your hands dirty with data -- Working with real data -- Conditioning your data -- Shaping data -- Putting what you know in action -- pt. III. Visualizing the invisible -- Getting a crash course in MatPlotLib -- Visualizing the data -- Understanding the tools -- pt. IV. Wrangling data -- Stretching Python's capabilities -- Exploring data analysis -- Reducing dimensionality -- Clustering -- Detecting outliers in data -- pt. V. Learning from data -- Exploring four simple and effective algorithms -- Performing cross-validation, selection, and optimization -- Increasing complexity with linear and nonlinear tricks -- Understanding the power of the many -- pt. VI. The part of tens -- Ten essential data science resource collections -- Ten data challenges you should take.
978-1492346135
Python (Computer program language)
Programming languages (Electronic computers)
Data mining.
Data structures (Computer science)
Data mining.
Data structures (Computer science)
Programming languages (Electronic computers)
Python (Computer program language)
QA76.73.P98 / M376 2015
005.133 / JOP