Python Data Science Essentials 2nd Edition

-

Title : Python Data Science Essentials
Edition : 2nd edition
Year : 2016
Authors : Alberto Boschetti, Luca Massaron
Publisher : Packt

 Preface
Data science is a relatively new knowledge domain that requires the successful integration of linear algebra, statistical modeling, visualization, computational linguistics, graph analysis, machine learning, business intelligence, and data storage and retrieval.
The Python programming language, having conquered the scientific community during the last decade, is now an indispensable tool for the data science practitioner and a must-have tool for every aspiring data scientist. Python will offer you a fast, reliable, cross-platform, mature environment for data analysis, machine learning, and algorithmic problem solving. Whatever stopped you before from mastering Python for data science applications will be easily overcome by our easy, step-by-step, and example-oriented approach that will help you apply the most straightforward and effective Python tools to both demonstrative and real-world datasets. As the second edition of Python Data Science Essentials, this book offers updated and expanded content. Based on the recent Jupyter Notebooks (incorporating interchangeable kernels, a truly polyglot data science system), this book incorporates all the main recent improvements in Numpy, Pandas, and Scikit-learn. Additionally, it offers new content in the form of deep learning (by presenting Keras–based on both Theano and Tensorflow), beautiful visualizations (seaborn and ggplot), and web deployment (using bottle). This book starts by showing you how to set up your essential data science toolbox in Python’s latest version (3.5), using a single-source approach (implying that the book's code will be easily reusable on Python 2.7 as well). Then, it will guide you across all the data munging and preprocessing phases in a manner that explains all the core data science activities related to loading data, transforming, and fixing it for analysis, and exploring/processing it. Finally, the book will complete its overview by presenting you with the principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users.

 DOWNLOAD (MEGA) | DOWNLOAD (SOLIDFILE) | DOWNLOAD (UPTOBOX)

Password zip : gratissebook.blogspot.co.id

Comments

Post a Comment

Popular posts from this blog

Software Architecture with Python

-
Image
Title : Software Architecture with Python Edition :  Year : 2017 Authors : Anand Balachendran Pillai Publisher : Packt Preface Software architecture, or creating a blueprint design for a particular software  application, is not a walk in the park. The two biggest challenges in software  architecture are keeping the architecture in sync, first with the requirements as they are  uncovered or evolve, and next with the implementation as it gets built and evolves. Filled with examples and use cases, this guide takes a direct approach to helping you  with everything it takes to become a successful software architect. This book will  help you understand the ins and outs of Python so that you can architect and design  highly scalable, robust, clean, and performant applications in Python. DOWNLOAD (MEGA)  |  DOWNLOAD (SOLIDFILE)  |  DOWNLOAD (UPTOBOX) Password zip : gratissebook.blogspot.co.id
Read more

Learning Docker 2nd Edition

-
Image
Title : Learning Docker Edition : 2nd edition Year : 2017 Authors :  Jeeva S. Chelladhurai,  Vinod Singh,  Pethuru Raj Publisher : Packt Preface There are several technical and business advantages associated with Docker. The  longstanding goals of application development, deployment, and delivery automation are  accomplished through Docker-enabled containerization, which is being touted as a crucial  automation method for the tremendous success of the cloud paradigm. Existing workloads  are containerized and cloud-enabled to be stocked in public as well as private repositories.  Both business and IT workloads can be easily pampered, packaged, and presented as  remotely discoverable, usable, portable, and composable containers. Further on, containers  are shipped and run everywhere without any hassle, hitches, and hurdles. The  containerization concept has made IT infrastructures and processes agile and adaptive. This  means that not only is software engineering sped
Read more

Raspberry Pi for Secret Agents

-
Image
Title : Raspberry Pi for Secret Agents Edition : 3rd edition Year : 2016 Authors :  Matthew Poole Publisher :  Packt Preface The Raspberry Pi was developed with the intention of promoting basic computer science in  schools, but the Pi also represents a welcome return to simple, fun, and open computing.  Using gadgets for purposes other than the intended ones, especially for mischief and  pranks, has always been an important part of adopting a new technology and making it  your own. With a  £25 Raspberry Pi computer and a few common USB gadgets, anyone can afford to  become a secret agent. This third edition by Matthew Poole takes the previous edition's projects and brings them  up to date to now support the new Raspberry Pi Zero, Raspberry Pi Version 3, and the  Raspbian Jessie operating system.  There is also a new chapter that looks at ways to connect sensors and gadgets to our Pi to  protect ourselves against other would-be secret agents. DOWNLOAD (MEGA)  
Read more