Python 86


Python 86 pdf

Download Python 86 PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Python 86 book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

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IBM Spectrum Connect and IBM Storage Enabler for Containers: Practical Example with IBM FlashSystem A9000


IBM Spectrum Connect and IBM Storage Enabler for Containers: Practical Example with IBM FlashSystem A9000

Author: Markus Oscheka

language: en

Publisher: IBM Redbooks

Release Date: 2018-04-10


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This IBM® RedpaperTM publication provides an overview of containers and their framework. Container technology enables prepackaged and pre-configured software with the elements that are needed to run in any environment. Because they are meant to be portable, containers normally restrict applications from storing data on external storage. To overcome this limitation, IBM has developed a solution to provide persistent storage for containers on IBM storage systems, known as the IBM Storage Enabler for Containers. The Enabler tightly integrates with IBM SpectrumTM Connect (formerly IBM Spectrum ControlTM Base Edition). IBM Storage Enabler for Containers v1.0 extends IBM Spectrum Connect to Kubernetes orchestrated container environments. The paper focuses on containers implementation, management, and control by using IBM Spectrum Connect and IBM Storage Enabler for Containers plug-in, with IBM FlashSystem® A9000 or A9000R.

Developing Modern Database Applications with PostgreSQL


Developing Modern Database Applications with PostgreSQL

Author: Dr. Quan Ha Le

language: en

Publisher: Packt Publishing Ltd

Release Date: 2021-08-13


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Get up to speed with core PostgreSQL tasks such as database administration, application development, database performance monitoring, and database testing Key FeaturesBuild real-world enterprise database management systems using Postgres 12 featuresExplore the development, administrative and security aspects of PostgreSQL 12Implement best practices from industry experts to build powerful database applicationsBook Description PostgreSQL is an open-source object-relational database management system (DBMS) that provides enterprise-level services, including high performance and scalability. This book is a collection of unique projects providing you with a wealth of information relating to administering, monitoring, and testing PostgreSQL. The focus of each project is on both the development and the administrative aspects of PostgreSQL. Starting by exploring development aspects such as database design and its implementation, you'll then cover PostgreSQL administration by understanding PostgreSQL architecture, PostgreSQL performance, and high-availability clusters. Various PostgreSQL projects are explained through current technologies such as DevOps and cloud platforms using programming languages like Python and Node.js. Later, you'll get to grips with the well-known database API tool, PostgREST, before learning how to use popular PostgreSQL database testing frameworks. The book is also packed with essential tips and tricks and common patterns for working seamlessly in a production environment. All the chapters will be explained with the help of a real-world case study on a small banking application for managing ATM locations in a city. By the end of this DBMS book, you'll be proficient in building reliable database solutions as per your organization's needs. What you will learnSet up high availability PostgreSQL database clusters in the same containment, a cross-containment, and on the cloudMonitor the performance of a PostgreSQL databaseCreate automated unit tests and implement test-driven development for a PostgreSQL databaseDevelop PostgreSQL apps on cloud platforms using DevOps with Python and Node.jsWrite robust APIs for PostgreSQL databases using Python programming, Node.js, and PostgRESTCreate a geospatial database using PostGIS and PostgreSQLImplement automatic configuration by Ansible and Terraform for PostgresWho this book is for This PostgreSQL book is for database developers, database administrators, data architects, or anyone who wants to build end-to-end database projects using Postgres. This book will also appeal to software engineers, IT technicians, computer science researchers, and university students who are interested in database development and administration. Some familiarity with PostgreSQL and Linux is required to grasp the concepts covered in the book effectively.

Computing Skills for Biologists


Computing Skills for Biologists

Author: Stefano Allesina

language: en

Publisher: Princeton University Press

Release Date: 2019-01-15


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A concise introduction to key computing skills for biologists While biological data continues to grow exponentially in size and quality, many of today’s biologists are not trained adequately in the computing skills necessary for leveraging this information deluge. In Computing Skills for Biologists, Stefano Allesina and Madlen Wilmes present a valuable toolbox for the effective analysis of biological data. Based on the authors’ experiences teaching scientific computing at the University of Chicago, this textbook emphasizes the automation of repetitive tasks and the construction of pipelines for data organization, analysis, visualization, and publication. Stressing practice rather than theory, the book’s examples and exercises are drawn from actual biological data and solve cogent problems spanning the entire breadth of biological disciplines, including ecology, genetics, microbiology, and molecular biology. Beginners will benefit from the many examples explained step-by-step, while more seasoned researchers will learn how to combine tools to make biological data analysis robust and reproducible. The book uses free software and code that can be run on any platform. Computing Skills for Biologists is ideal for scientists wanting to improve their technical skills and instructors looking to teach the main computing tools essential for biology research in the twenty-first century. Excellent resource for acquiring comprehensive computing skills Both novice and experienced scientists will increase efficiency by building automated and reproducible pipelines for biological data analysis Code examples based on published data spanning the breadth of biological disciplines Detailed solutions provided for exercises in each chapter Extensive companion website