Driscoll Michael. ReportLab: PDF Processing with Python (code)

Wiley, 2015. — 360 p. — ISBN: 1118961749, 9781118961742 Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this...

Packt Publishing, 2016. — 272 p. — ISBN: 9781785282355 From Python programming good practices to the advanced use of analysis packages, this book teaches you how to write applications that will perform complex geoprocessing tasks that can be replicated and reused. Much more than simple scripts, you will write functions to import data, create Python classes that represent your...

Leanpub, 2018. — 428 p. — ISBN: 1983154547. ReportLab has been around since the year 2000 and has remained the primary package that Python developers use for creating reports in the PDF format. It is an extremely powerful package that works across all the major platforms. This book will also introduce the reader to other Python PDF packages.

2nd Edition. — Apress, 2019. — 709 p. — ISBN: 978-1-4842-4245-2. Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to...

Apress, 2017. — 169 p. — ISBN: 978-1-4842-2765-7. Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is...

Apress, 2017. - 358p. - ISBN: 978-1484228654 Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner. This book’s approach is based on the “Six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away. Mastering Machine Learning with Python in Six...