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Solaris 10 End of Life
Solaris 10 end of life Continue Oracle Solaris 10 has had an amazing OS update, including ground features such as zones (Solaris containers), FSS, Services, Dynamic Tracking (against live production operating systems without impact), and logical domains. These features have been imitated in the market (imitation is the best form of flattery!) like all good things, they have to come to an end. Sun Microsystems was acquired by Oracle and eventually, the largest OS known to the industry, needs to be updated. Oracle has set a retirement date of January 2021. Oracle indicated that Solaris 10 systems would need to raise support costs. Oracle has never provided migratory tools to facilitate migration from Solaris 10 to Solaris 11, so migration to Solaris has been slow. In September 2019, Oracle decided that extended support for Solaris 10 without an additional financial penalty would be delayed until 2024! Well its March 1 is just a reminder that Oracle Solaris 10 is getting the end of life regarding support if you accept extended support from Oracle. Combined with the fact gdpR should take effect on May 25, 2018 you want to make sure that you are either upgraded to Solaris 11.3 or have taken extended support to obtain any patches for security issues. For more information on tanningix releases and support dates of old and new follow this link ×Sestive to abort the Unix Error Operating System originally developed by Sun Microsystems SolarisDeveloperSun Microsystems (acquired by Oracle Corporation in 2009)Written inC, C'OSUnixWorking StateCurrentSource ModelMixedInitial release1992; 28 years ago (1992-06)Last release11.4 / August 28, 2018; 2 years ago (2018-08-28)Marketing targetServer, PlatformsCurrent: SPARC, x86-64 Former: IA-32, PowerPCKernel typeMonolithic with dynamically downloadable modulesDefault user interface GNOME-2-LicenseVariousOfficial websitewww.oracle.com/solaris Solaris is the own operating system Of Unix, originally developed by Sunsystems. -
Adventures with Illumos
> Adventures with illumos Peter Tribble Theoretical Astrophysicist Sysadmin (DBA) Technology Tinkerer > Introduction ● Long-time systems administrator ● Many years pointing out bugs in Solaris ● Invited onto beta programs ● Then the OpenSolaris project ● Voted onto OpenSolaris Governing Board ● Along came Oracle... ● illumos emerged from the ashes > key strengths ● ZFS – reliable and easy to manage ● Dtrace – extreme observability ● Zones – lightweight virtualization ● Standards – pretty strict ● Compatibility – decades of heritage ● “Solarishness” > Distributions ● Solaris 11 (OpenSolaris based) ● OpenIndiana – OpenSolaris ● OmniOS – server focus ● SmartOS – Joyent's cloud ● Delphix/Nexenta/+ – storage focus ● Tribblix – one of the small fry ● Quite a few others > Solaris 11 ● IPS packaging ● SPARC and x86 – No 32-bit x86 – No older SPARC (eg Vxxx or SunBlades) ● Unique/key features – Kernel Zones – Encrypted ZFS – VM2 > OpenIndiana ● Direct continuation of OpenSolaris – Warts and all ● IPS packaging ● X86 only (32 and 64 bit) ● General purpose ● JDS desktop ● Generally rather stale > OmniOS ● X86 only ● IPS packaging ● Server focus ● Supported commercial offering ● Stable components can be out of date > XStreamOS ● Modern variant of OpenIndiana ● X86 only ● IPS packaging ● Modern lightweight desktop options ● Extra applications – LibreOffice > SmartOS ● Hypervisor, not general purpose ● 64-bit x86 only ● Basis of Joyent cloud ● No inbuilt packaging, pkgsrc for applications ● Added extra features – KVM guests – Lots of zone features – -
Jupyter Tutorial Release 0.8.0
Jupyter Tutorial Release 0.8.0 Veit Schiele Oct 01, 2021 CONTENTS 1 Introduction 3 1.1 Status...................................................3 1.2 Target group...............................................3 1.3 Structure of the Jupyter tutorial.....................................3 1.4 Why Jupyter?...............................................4 1.5 Jupyter infrastructure...........................................4 2 First steps 5 2.1 Install Jupyter Notebook.........................................5 2.2 Create notebook.............................................7 2.3 Example................................................. 10 2.4 Installation................................................ 13 2.5 Follow us................................................. 15 2.6 Pull-Requests............................................... 15 3 Workspace 17 3.1 IPython.................................................. 17 3.2 Jupyter.................................................. 50 4 Read, persist and provide data 143 4.1 Open data................................................. 143 4.2 Serialisation formats........................................... 144 4.3 Requests................................................. 154 4.4 BeautifulSoup.............................................. 159 4.5 Intake................................................... 160 4.6 PostgreSQL................................................ 174 4.7 NoSQL databases............................................ 199 4.8 Application Programming Interface (API).............................. -
BSCW Administrator Documentation Release 7.4.1
BSCW Administrator Documentation Release 7.4.1 OrbiTeam Software Mar 11, 2021 CONTENTS 1 How to read this Manual1 2 Installation of the BSCW server3 2.1 General Requirements........................................3 2.2 Security considerations........................................4 2.3 EU - General Data Protection Regulation..............................4 2.4 Upgrading to BSCW 7.4.1......................................5 2.4.1 Upgrading on Unix..................................... 13 2.4.2 Upgrading on Windows................................... 17 3 Installation procedure for Unix 19 3.1 System requirements......................................... 19 3.2 Installation.............................................. 20 3.3 Software for BSCW Preview..................................... 26 3.4 Configuration............................................. 30 3.4.1 Apache HTTP Server Configuration............................ 30 3.4.2 BSCW instance configuration............................... 35 3.4.3 Administrator account................................... 36 3.4.4 De-Installation....................................... 37 3.5 Database Server Startup, Garbage Collection and Backup..................... 37 3.5.1 BSCW Startup....................................... 38 3.5.2 Garbage Collection..................................... 38 3.5.3 Backup........................................... 38 3.6 Folder Mail Delivery......................................... 39 3.6.1 BSCW mail delivery agent (MDA)............................. 39 3.6.2 Local Mail Transfer Agent -
Datasette Documentation
Datasette Documentation Simon Willison Sep 22, 2021 Contents 1 Contents 3 1.1 Getting started..............................................3 1.1.1 Play with a live demo......................................3 1.1.2 Try Datasette without installing anything using Glitch.....................3 1.1.3 Using Datasette on your own computer............................4 1.1.4 datasette –get..........................................5 1.1.5 datasette serve –help......................................6 1.2 Installation................................................7 1.2.1 Basic installation........................................7 1.2.2 Advanced installation options.................................8 1.3 The Datasette Ecosystem......................................... 10 1.3.1 sqlite-utils............................................ 11 1.3.2 Dogsheep............................................ 11 1.4 Pages and API endpoints......................................... 11 1.4.1 Top-level index......................................... 11 1.4.2 Database............................................ 12 1.4.3 Table.............................................. 12 1.4.4 Row............................................... 12 1.5 Publishing data.............................................. 13 1.5.1 datasette publish........................................ 13 1.5.2 datasette package........................................ 16 1.6 Deploying Datasette........................................... 17 1.6.1 Deployment fundamentals................................... 18 1.6.2 -
Json Schema Python Package
Json Schema Python Package Epiphytical and irascible Stanly often tetanized some caraway astern or recap terminably. Alicyclic or sepaloid, Rajeev never lambastes any paedophilia! Lubricious and unperilous Martin unsolders while tonish Sherwin uprears her savers first-class and vitiates ungovernably. Thats it uses json package The jsonschema package must be installed separately in order against use this decorator Combining schemas Understanding JSON Schema 70 Apr 12 2020. It is in xml processing of specific use regular expressions are examples show you can create a mandatory conversion tactic can see full list. Any changes take effect, our example below is there is a given types, free edition of code example above, happy testing process generated from any. By which require that in addition, and click actions on disk, but you have a standard. Learn about JSON Schemas and how you agree use sometimes to build your own JSON Validator Server using Python and Django. You maybe transitive dependencies. The instance object. You really fast json package manager for packaging into a packages in python library in json schema, if there any errors with. Build Your Own Schema Registry Server Using Python and. Jsonchema Custom type format and validator in Python. Debian - Details of package python3-jsonschema in stretch. If you to your messy. Pyarrow datatype. In go to properly formatted string. Validate an XML or JSON file against a LIXI2 Schema Validate a LIXI package XML or JSON against a Schematron file that contains business. See if not build one. Lightweight data to configure canonical logging, seems somewhat different tasks that contain all news about contact search. -
Web Scraping with Python
2nd Edition Web Scraping with Python COLLECTING MORE DATA FROM THE MODERN WEB Ryan Mitchell www.allitebooks.com www.allitebooks.com SECOND EDITION Web Scraping with Python Collecting More Data from the Modern Web Ryan Mitchell Beijing Boston Farnham Sebastopol Tokyo www.allitebooks.com Web Scraping with Python by Ryan Mitchell Copyright © 2018 Ryan Mitchell. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://oreilly.com/safari). For more information, contact our corporate/insti‐ tutional sales department: 800-998-9938 or [email protected]. Editor: Allyson MacDonald Indexer: Judith McConville Production Editor: Justin Billing Interior Designer: David Futato Copyeditor: Sharon Wilkey Cover Designer: Karen Montgomery Proofreader: Christina Edwards Illustrator: Rebecca Demarest April 2018: Second Edition Revision History for the Second Edition 2018-03-20: First Release See http://oreilly.com/catalog/errata.csp?isbn=9781491985571 for release details. The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Web Scraping with Python, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. While the publisher and the author have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the author disclaim all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. -
Ansible 2.2 Documentation Release 2.4
Ansible 2.2 Documentation Release 2.4 Ansible, Inc October 06, 2017 Contents 1 About Ansible 1 i ii CHAPTER 1 About Ansible Welcome to the Ansible documentation! Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s main goals are simplicity and ease-of-use. It also has a strong focus on security and reliability, featuring a minimum of moving parts, usage of OpenSSH for transport (with other transports and pull modes as alternatives), and a language that is designed around auditability by humans–even those not familiar with the program. We believe simplicity is relevant to all sizes of environments, so we design for busy users of all types: developers, sysadmins, release engineers, IT managers, and everyone in between. Ansible is appropriate for managing all envi- ronments, from small setups with a handful of instances to enterprise environments with many thousands of instances. Ansible manages machines in an agent-less manner. There is never a question of how to upgrade remote daemons or the problem of not being able to manage systems because daemons are uninstalled. Because OpenSSH is one of the most peer-reviewed open source components, security exposure is greatly reduced. Ansible is decentralized–it relies on your existing OS credentials to control access to remote machines. If needed, Ansible can easily connect with Kerberos, LDAP, and other centralized authentication management systems. This documentation covers the current released version of Ansible (2.3) and also some development version features (2.4). -
Pyscaffold Documentation Release 4.1.Post1.Dev13+G5e6c226
PyScaffold Documentation Release 4.1.post1.dev13+g5e6c226 Blue Yonder Oct 01, 2021 CONTENTS 1 Installation 3 1.1 Requirements...............................................3 1.2 Installation................................................3 1.3 Alternative Methods...........................................4 1.4 Additional Requirements.........................................4 2 Usage & Examples 5 2.1 Quickstart................................................5 2.2 Examples.................................................6 2.3 Package Configuration..........................................7 2.4 PyScaffold’s Own Configuration..................................... 10 3 Advanced Usage & Features 11 3.1 Dependency Management........................................ 11 3.2 Migration to PyScaffold......................................... 17 3.3 Updating from Previous Versions.................................... 17 3.4 Extending PyScaffold.......................................... 19 4 Why PyScaffold? 29 5 Features 31 5.1 Configuration, Packaging & Distribution................................ 31 5.2 Versioning and Git Integration...................................... 33 5.3 Sphinx Documentation.......................................... 33 5.4 Dependency Management in a Breeze.................................. 34 5.5 Automation, Tests & Coverage...................................... 34 5.6 Management of Requirements & Licenses................................ 35 5.7 Extensions................................................ 36 5.8 Easy Updating............................................. -
Serdar Temiz
OPEN DATA AND INNOVATION ADOPTION: Lessons From Sweden Serdar Temiz Doctoral thesis submitted to the School of Industrial Engineering and Management for the fulfillment of the requirements for the degree of Ph.D. in Industrial Engineering and Management KTH Royal Institute of Technology School of Industrial Engineering and Management Department of Industrial Economics and Management SE-10044 Stockholm, Sweden OPEN DATA AND INNOVATION ADOPTION: LESSONS FROM SWEDEN ISBN 978-91-7873-083-4 © Temiz, Serdar, December 2018 [email protected] Academic thesis, with permission and approval of the KTH Royal Institute of Technology, is submitted for public review and doctoral examination in fulfillment of the requirements for the degree of Doctor of Phi- losophy in Industrial Engineering and Management on Monday, February 22, 2019, at 09:00 in Hall F3, Lindstedtsvägen 26, KTH, Stockholm, Sweden. Printed in Sweden, Universitetsservice US-AB ii Abstract The Internet has significantly reduced the cost of producing, accessing, and using data, with governments, companies, open data advocates, and researchers observing open data’s potential for promoting democratic and innovative solutions and with open data’s global market size estimated at billions of dollars in the European Union alone (Carrara, Chan, Fischer, & Steenbergen, 2015). This thesis explores the concept of open data, describing and analyzing how open data adoption occurs to better identify and understand key challenges in this process and thus contribute to better use of the available data resources -
VIP Documentation Release 0.8.1
VIP Documentation Release 0.8.1 Carlos Gomez Gonzalez, Olivier Wertz & VORTEX team Nov 17, 2017 Contents 1 Attribution 3 2 Introduction 5 3 Jupyter notebook tutorial 7 4 Mailing list 9 5 Quick Setup Guide 11 6 Installation and dependencies 13 6.1 Installation and dependencies...................................... 13 6.2 Loading VIP............................................... 14 7 Frequently asked questions 15 7.1 FAQ.................................................... 15 8 Package structure 17 8.1 vip package................................................ 19 9 API 21 i ii VIP Documentation, Release 0.8.1 Contents 1 VIP Documentation, Release 0.8.1 2 Contents CHAPTER 1 Attribution Please cite Gomez Gonzalez et al. 2016 (submitted) whenever you publish data reduced with VIP. Astrophysics Source Code Library reference [ascl:1603.003] 3 VIP Documentation, Release 0.8.1 4 Chapter 1. Attribution CHAPTER 2 Introduction VIP is an open source package/pipeline for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging. VIP is being developed by the VORTEX team and collaborators. You can check on github the direct contributions to the code (tab contributors). Most of VIP‘s functionalities are mature but it doesn’t mean it’s free from bugs. The code will continue evolving and therefore all the feedback and contributions will be greatly appreciated. If you want to report a bug, suggest or add a functionality please create an issue or send a pull request on the github repository. The goal of VIP is to incorporate robust, efficient, easy-to-use, well-documented and open source implementations of high-contrast image processing algorithms to the interested scientific community. -
Ubuntu:Precise Ubuntu 12.04 LTS (Precise Pangolin)
Ubuntu:Precise - http://ubuntuguide.org/index.php?title=Ubuntu:Precise&prin... Ubuntu:Precise From Ubuntu 12.04 LTS (Precise Pangolin) Introduction On April 26, 2012, Ubuntu (http://www.ubuntu.com/) 12.04 LTS was released. It is codenamed Precise Pangolin and is the successor to Oneiric Ocelot 11.10 (http://ubuntuguide.org/wiki/Ubuntu_Oneiric) (Oneiric+1). Precise Pangolin is an LTS (Long Term Support) release. It will be supported with security updates for both the desktop and server versions until April 2017. Contents 1 Ubuntu 12.04 LTS (Precise Pangolin) 1.1 Introduction 1.2 General Notes 1.2.1 General Notes 1.3 Other versions 1.3.1 How to find out which version of Ubuntu you're using 1.3.2 How to find out which kernel you are using 1.3.3 Newer Versions of Ubuntu 1.3.4 Older Versions of Ubuntu 1.4 Other Resources 1.4.1 Ubuntu Resources 1.4.1.1 Unity Desktop 1.4.1.2 Gnome Project 1.4.1.3 Ubuntu Screenshots and Screencasts 1.4.1.4 New Applications Resources 1.4.2 Other *buntu guides and help manuals 2 Installing Ubuntu 2.1 Hardware requirements 2.2 Fresh Installation 2.3 Install a classic Gnome-appearing User Interface 2.4 Dual-Booting Windows and Ubuntu 1 of 212 05/24/2012 07:12 AM Ubuntu:Precise - http://ubuntuguide.org/index.php?title=Ubuntu:Precise&prin... 2.5 Installing multiple OS on a single computer 2.6 Use Startup Manager to change Grub settings 2.7 Dual-Booting Mac OS X and Ubuntu 2.7.1 Installing Mac OS X after Ubuntu 2.7.2 Installing Ubuntu after Mac OS X 2.7.3 Upgrading from older versions 2.7.4 Reinstalling applications after