All posts tagged Foundations for Analytics with Python

Clinton W. Brownley, “Foundations for Analytics with Python: From Non-Programmer to Hacker”
English | ISBN: 1491922532 | 2016 | PDF/EPUB/MOBI | 356 pages | 313 MB/20 MB/27 MB

If you’re like many of Excel’s 750 million users, you want to do more with your data-like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats-by using Python.

Continue reading →

Clinton W. Brownley, "Foundations for Analytics with Python (Early Release)"
English | ISBN: 1491922532 | 2016 | PDF/EPUB/MOBI | 81 pages | 2 MB/2 MB/3 MB

Many of Excel’s 750 million users would like to do more with their data, such as repeating similar analyses over hundreds of files or combining the data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale data processing and analysis of different data formats with Python, using business-relevant examples with complete, easy-to-read code.

Continue reading →