Abstract | Keywords | Export | Availability | Bookmark

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.

Python (Computer program language) --- Programming languages (Electronic computers) --- Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- PXL-IT 2018 --- programmeertalen --- Python --- Statistical science --- Mathematical statistics --- Programming --- Python (Computer program language). --- Programming languages (Electronic computers). --- Python 3.6. --- Datenanalyse. --- Datenmanagement. --- Data Mining. --- Database searching --- Electronic data processing --- Languages, Artificial --- Scripting languages (Computer science) --- Python 3.6 --- Datenanalyse --- Datenmanagement --- Data Mining --- Data mining --- python --- data-analyse --- data mining