Bioconda: a Sustainable and Comprehensive Software Distribution for the Life Sciences
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Hsafew2019 S2b.Pdf
How to work with SSM products From Download to Visualization Apostolos Giannakos Zentralanstalt für Meteorologie und Geodynamik (ZAMG) https://www.zamg.ac.at 1 Topics • Overview • ASCAT SSM NRT Products • ASCAT SSM CDR Products • Read and plot ASCAT SSM NRT Products • Read and plot ASCAT SSM CDR Products • Summary 2 H SAF ASCAT Surface Soil Moisture Products ASCAT SSM Near Real-Time (NRT) products – NRT products for ASCAT on-board Metop-A, Metop-B, Metop-C – Swath orbit geometry – Available 130 minutes after sensing – Various spatial resolutions • 25 km spatial sampling (50 km spatial resolution) • 12.5 km spatial sampling (25-34 km spatial resolution) • 0.5 km spatial sampling (1 km spatial resolution) ASCAT SSM Climate Data Record (CDR) products – ASCAT data merged for all Metop (A, B, C) satellites – Time series format located on an Earth fixed DGG (WARP5 Grid) – 12.5 km spatial sampling (25-34 km spatial resolution) – Re-processed every year (in January) – Extensions computed throughout the year until new release 3 Outlook: Near real-time surface soil moisture products CDOP3 H08 - SSM ASCAT NRT DIS Disaggregated Metop ASCAT NRT SSM at 1 km (pre-operational)* H101 - SSM ASCAT-A NRT O12.5 Metop-A ASCAT NRT SSM orbit 12.5 km sampling (operational) H102 - SSM ASCAT-A NRT O25 Metop-A ASCAT NRT SSM orbit 25 km sampling (operational) H16 - SSM ASCAT-B NT O12.5 Metop-B ASCAT NRT SSM orbit 12.5 km sampling (operational) H103 - SSM ASCAT-B NRT O25 Metop-B ASCAT NRT SSM orbit 25 km sampling (operational) 4 Architecture of ASCAT SSM Data Services -
Vivariumnovum
Accademia VivariumNovum Accademia VivariumNovum Our roots The present Future plans INDEX THE ACADEMY IN BRIEF 2 1. A school for talent 5 2. An authentic Res publica litterarum 7 3. Why we speak in Latin and Greek? 9 4. Conversing with the past 11 5. Mens sana in corpore sano 13 6. Where the humanities have no price 15 OUR ROOTS 18 1. The roots of the academy 21 2. The birth of a project 23 3. A bucolic location 25 4. Major conferences and famous scholars 27 5. Major international conferences 29 Notes: International conferences 30 THE ACADEMY TODAY 36 1. The present roman campus 39 PROFUSUM 2. The principal activity of the Academy 41 3. Musical activities and classical poetry 43 SAPIENTIAE 4. Excursions and on-site lessons 45 5. Hosting schools 47 SEMEN 6. Forming teachers in a living method 49 IUSTITIAE 7. Intensive summer language courses 51 8. Our programme: research and study 53 ALERE Notes: Curriculum of studies 54 Notes: Reading list 58 FLAMMA 9. The publishing house: didactic and research 61 10. Two journals: Mercurius and Ianus 63 11. A library for the study of the humanities 65 12. Collaborations and affiliations 67 Notes: Alumni of the Academy 68 Notes: Visiting professors 72 Notes: An appeal to Unesco 76 FUTURE PROJECTS 80 1. A new campus for the humanities 83 Notes: An ideal campus 84 2. Universities and historical sites 87 3. Archeological study camps 89 4. Virtual reality and audio-visual projects 91 5. Distance learning programmes 93 6. Latin and the sciences 95 7. -
Additional Rules Concerning Admission to the University of Udine for Prospective Students with Foreign Qualifications
ADDITIONAL RULES CONCERNING ADMISSION TO THE UNIVERSITY OF UDINE FOR PROSPECTIVE STUDENTS WITH FOREIGN QUALIFICATIONS. ACADEMIC YEAR 2019/2020. General Information Each study programme has a number of vacant places reserved for foreign non-EU students. This information may be consulted on the online data bank of the Italian Ministry of Education, Universities and Research page - Vacant places reserved for foreign non-EU students (http://www.studiare-in-italia.it/studentistranieri/). Foreign non-EU students must submit their application for pre-enrolment to the Italian Embassy or Consulate in their Country of residence. On completion of the pre-enrolment procedure, a visa for study purposes will be issued in order to enter Italy. In addition, foreign non-EU students must submit the application for a residence permit for study to the competent police headquarters of the city in which they intend to establish their abode within 8 days after their arrival in Italy with a national D type visa for studies (university enrollment). Access requirements to Bachelor’s and Master’s Degree Courses are compulsory for all students with a foreign qualification, regardless of their nationality, whether an EU Country or non-EU Country releases it. Candidates are reminded that the “Declaration of value” or “Statement of comparability for foreign qualification – Cimea” will not affect the Teaching Committee’s academic evaluation. ADMISSION REQUIREMENTS FOR FIRST (BACHELOR DEGREES) AND SINGLE CYCLE DEGREES (5-YEAR OR 6-YEAR MASTER DEGREES) Prospective students who hold a foreign qualification and want to apply for a First Cycle Degree or a Single Cycle Degree Course must follow the recognition procedure for foreign qualifications. -
Conda Build Meta.Yaml
Porting legacy software packages to the Conda Package Manager Joe Asercion, Fermi Science Support Center, NASA/GSFC Previous Process FSSC Previous Process FSSC Release Tag Previous Process FSSC Release Tag Code Ingestion Previous Process FSSC Release Tag Code Ingestion Builds on supported systems Previous Process FSSC Release Tag Code Ingestion Push back Builds on changes supported systems Testing Previous Process FSSC Release Tag Code Ingestion Push back Builds on changes supported systems Testing Packaging Previous Process FSSC Release Release Tag Code Ingestion All binaries and Push back Builds on source made changes supported systems available on the FSSC’s website Testing Packaging Previous Process Issues • Very long development cycle • Difficult dependency • Many bottlenecks management • Increase in build instability • Frequent library collision errors with user machines • Duplication of effort • Large number of individual • Large download size binaries to support Goals of Process Overhaul • Continuous Integration/Release Model • Faster report/patch release cycle • Increased stability in the long term • Increased Automation • Increase process efficiency • Increased Process Transparency • Improved user experience • Better dependency management Conda Package Manager • Languages: Python, Ruby, R, C/C++, Lua, Scala, Java, JavaScript • Combinable with industry standard CI systems • Developed and maintained by Anaconda (a.k.a. Continuum Analytics) • Variety of channels hosting downloadable packages Packaging with Conda Conda Build Meta.yaml Build.sh/bld.bat • Contains metadata of the package to • Executed during the build stage be build • Written like standard build script • Contains metadata needed for build • Dependencies, system requirements, etc • Ideally minimalist • Allows for staged environment • Any customization not handled by specificity meta.yaml can be implemented here. -
Curriculum Vitae
CURRICULUM VITAE Name Rita Pasqui Address 118 Sawyer Circle # 408 – Memphis, TN 38103 Office University of Memphis ,3706 Alumni Avenue, Jones Hall, #108 I Memphis, TN 38152 Phone number Cell phone # 602 760 6390 Email [email protected] [email protected] 1. ACADEMIC BACKGROUND 1. MA in Classics (Major in Ancient Greek Literature): “Dottore in Lettere” cum laude (University of Perugia, Italy) Thesis - The Wanderings of Odysseus in Homer’s Odyssey: ancient and modern interpretations 2. TWO-YEAR MASTER’S DEGREE in Enhancing linguistic skills in the Teaching of Modern Languages (“La Sapienza” University -Rome) July 2010 Thesis: Teaching Italian pronunciation to speakers of English 3. TWO-YEAR MASTER’S DEGREE (cum laude) in ITALS: Teaching Italian as a Foreign/Second Language (“Ca’ Foscari” University -Venice, Italy) December 2002 Thesis: Sono solo canzonette? Teaching and Learning Italian Language and Culture through Pop Songs: Theoretical Aspects and Practical Examples 4. ONE-YEAR SPECIALIZATION in Teaching Italian as a Second Language Final Grade: 30/30 (Italian University for Foreigners -Perugia, Italy) December 1995 Thesis: Teaching Italian L2 through Literary Texts: a Learning-Unit based on “La Libertà” (short story by Dino Buzzati) 5. ONE-YEAR MA in Teaching Latin Literature (Torino and Macerata Universities’ Consortium) July 1998 6. TWO-YEAR SPECIALIZATION in Teaching and multimedia: how to apply web-based technologies to teaching/learning (“La Sapienza” University -Rome) July 1996 2. SELECTED PROFESSIONAL CERTIFICATIONS AND LICENSES 1. PRAXIS II Exam 05/04/2019 LATIN: 200/200 2. License in the Teaching of Italian, Latin, Ancient Greek, History and Geography at the High School “Liceo Classico” (Ministry of Education) April 1992 3. -
Installation Instructions
Installation instructions The following instructions should be quite detailed and easy to follow. If you nevertheless encounter a problem which you cannot solve for yourself, please write an email to Thomas Foesel. Note: the monospaced text in this section are commands which have to be executed in a terminal. • for Linux/Mac: The terminal is simply the system shell. The "#" at the start of the line indicates that root privileges are required (so log in as root via su, or use sudo if this is configured suitably), whereas the commands starting with "$" can be executed as a normal user. • for Windows: Type the commands into the Conda terminal which is part of the Miniconda installation (see below). Installing Python, Theano, Keras, Matplotlib and Jupyter In the following, we show how to install these packages on the three common operating systems. There might be alternative ways to do so; if you prefer another one that works for you, this is also fine, of course. • Linux ◦ Debian/Mint/Ubuntu/... 1. # apt-get install python3 python3-dev python3- matplotlib python3-nose python3-numpy python3-pip 2. # pip3 install jupyter keras Theano ◦ openSUSE 1. # zypper in python3 python3-devel python3- jupyter_notebook python3-matplotlib python3-nose python3-numpy-devel 2. # pip3 install Theano keras • Mac 2. Download the installation script for the Miniconda collection (make sure to select Python 3.x, the upper row). In the terminal, go into the directory of this file ($ cd ...) and run # bash Miniconda3-latest-MacOSX-x86_64.sh. 3. Because there are more recent Conda versions than on the website, update it via conda update conda. -
Introduction to Anaconda and Python: Installation and Setup
¦ 2020 Vol. 16 no. 5 Python FOR Research IN Psychology Introduction TO Anaconda AND Python: Installation AND SETUP Damien Rolon-M´ERETTE A B , Matt Ross A , Thadd´E Rolon-M´ERETTE A & Kinsey Church A A University OF Ottawa AbstrACT ACTING Editor Python HAS BECOME ONE OF THE MOST POPULAR PROGRAMMING LANGUAGES FOR RESEARCH IN THE PAST decade. Its free, open-source NATURE AND VAST ONLINE COMMUNITY ARE SOME OF THE REASONS be- Nareg Berberian (University OF Ot- HIND ITS success. Countless EXAMPLES OF INCREASED RESEARCH PRODUCTIVITY DUE TO Python CAN BE FOUND tawa) ACROSS A PLETHORA OF DOMAINS online, INCLUDING DATA science, ARTIfiCIAL INTELLIGENCE AND SCIENTIfiC re- Reviewers search. This TUTORIAL’S GOAL IS TO HELP USERS GET STARTED WITH Python THROUGH THE INSTALLATION AND SETUP TARIQUE SirAGY (Uni- OF THE Anaconda software. The GOAL IS TO SET USERS ON THE PATH TOWARD USING THE Python LANGUAGE BY VERSITY OF Ottawa) PREPARING THEM TO WRITE THEIR fiRST script. This TUTORIAL IS DIVIDED IN THE FOLLOWING fashion: A SMALL INTRODUCTION TO Python, HOW TO DOWNLOAD THE Anaconda software, THE DIFFERENT CONTENT THAT COMES WITH THE installation, AND A SIMPLE EXAMPLE RELATED TO IMPLEMENTING A Python script. KEYWORDS TOOLS Python, Psychology, Installation guide, Anaconda. Python, Anaconda. B [email protected] 10.20982/tqmp.16.5.S003 Introduction MON problems, VIDEO tutorials, AND MUCH more. These re- SOURCES ARE OFTEN FREE TO ACCESS AND COVER THE MOST com- WhY LEARN Python? Python IS AN object-oriented, inter- MON PROBLEMS DEVELOPERS RUN INTO AT ALL LEVELS OF DIffiCULTY. preted, mid-level PROGRAMMING LANGUAGE THAT IS EASY TO In ADDITION TO THE BENEfiTIAL FEATURES MENTIONED above, LEARN AND USE WHILE BEING VERSATILE ENOUGH TO TACKLE A vari- Python HAS MANY DIFFERENT QUALITIES SPECIfiCALLY TAILORED ETY OF TASKS (Helmus & Collis, 2016). -
Tensorflow and Keras Installation Steps for Deep Learning Applications in Rstudio Ricardo Dalagnol1 and Fabien Wagner 1. Install
Version 1.0 – 03 July 2020 Tensorflow and Keras installation steps for Deep Learning applications in Rstudio Ricardo Dalagnol1 and Fabien Wagner 1. Install OSGEO (https://trac.osgeo.org/osgeo4w/) to have GDAL utilities and QGIS. Do not modify the installation path. 2. Install ImageMagick (https://imagemagick.org/index.php) for image visualization. 3. Install the latest Miniconda (https://docs.conda.io/en/latest/miniconda.html) 4. Install Visual Studio a. Install the 2019 or 2017 free version. The free version is called ‘Community’. b. During installation, select the box to include C++ development 5. Install the latest Nvidia driver for your GPU card from the official Nvidia site 6. Install CUDA NVIDIA a. I installed CUDA Toolkit 10.1 update2, to check if the installed or available NVIDIA driver is compatible with the CUDA version (check this in the cuDNN page https://docs.nvidia.com/deeplearning/sdk/cudnn-support- matrix/index.html) b. Downloaded from NVIDIA website, searched for CUDA NVIDIA download in google: https://developer.nvidia.com/cuda-10.1-download-archive-update2 (list of all archives here https://developer.nvidia.com/cuda-toolkit-archive) 7. Install cuDNN (deep neural network library) – I have installed cudnn-10.1- windows10-x64-v7.6.5.32 for CUDA 10.1, the last version https://docs.nvidia.com/deeplearning/sdk/cudnn-install/#install-windows a. To download you have to create/login an account with NVIDIA Developer b. Before installing, check the NVIDIA driver version if it is compatible c. To install on windows, follow the instructions at section 3.3 https://docs.nvidia.com/deeplearning/sdk/cudnn-install/#install-windows d. -
Conda-Build Documentation Release 3.21.5+15.G174ed200.Dirty
conda-build Documentation Release 3.21.5+15.g174ed200.dirty Anaconda, Inc. Sep 27, 2021 CONTENTS 1 Installing and updating conda-build3 2 Concepts 5 3 User guide 17 4 Resources 49 5 Release notes 115 Index 127 i ii conda-build Documentation, Release 3.21.5+15.g174ed200.dirty Conda-build contains commands and tools to use conda to build your own packages. It also provides helpful tools to constrain or pin versions in recipes. Building a conda package requires installing conda-build and creating a conda recipe. You then use the conda build command to build the conda package from the conda recipe. You can build conda packages from a variety of source code projects, most notably Python. For help packing a Python project, see the Setuptools documentation. OPTIONAL: If you are planning to upload your packages to Anaconda Cloud, you will need an Anaconda Cloud account and client. CONTENTS 1 conda-build Documentation, Release 3.21.5+15.g174ed200.dirty 2 CONTENTS CHAPTER ONE INSTALLING AND UPDATING CONDA-BUILD To enable building conda packages: • install conda • install conda-build • update conda and conda-build 1.1 Installing conda-build To install conda-build, in your terminal window or an Anaconda Prompt, run: conda install conda-build 1.2 Updating conda and conda-build Keep your versions of conda and conda-build up to date to take advantage of bug fixes and new features. To update conda and conda-build, in your terminal window or an Anaconda Prompt, run: conda update conda conda update conda-build For release notes, see the conda-build GitHub page. -
Sustainable Software Packaging for End Users with Conda
Sustainable software packaging for end users with conda Chris Burr, Henry Schreiner, Enrico Guiraud, Javier Cervantes CHEP 2019 ○ 5th November 2019 Image: CERN-EX-66954B © 1998-2018 CERN LCG from EP-SFT LCG from LHCb [email protected] ○ CHEP 2019 ○ Sustainable software packaging for end users with conda https://xkcd.com/1987/2 LCG from EP-SFT LCG from LHCb Homebrew ROOT builtin GCC 7.3 GCC 8.2 GCC9.2 Homebrew + Python 3.7 Self compiled against Python 3.6 (but broken since updating to 3.7 homebrew) Clang 5 Clang 6 Clang 8 Clang 9 [email protected] ○ CHEP 2019 ○ Sustainable software packaging for end users with conda https://xkcd.com/1987/3 LCG from EP-SFT LCG from LHCb Homebrew ROOT builtin GCC 7.3 GCC 8.2 GCC9.2 Homebrew +Python 3.7 Self compiled against Python 3.6 (broken since updating to 3.7 homebrew) Clang 5 Clang 6 Clang 8 Clang 9 [email protected] ○ CHEP 2019 ○ Sustainable software packaging for end users with conda https://xkcd.com/1987/4 LCG from EP-SFT LCG from LHCb Homebrew ROOT builtin GCC 7.3 GCC 8.2 GCC9.2 Homebrew +Python 3.7 Self compiled against Python 3.6 (broken since updating to 3.7 homebrew) Clang 5 Clang 6 Clang 8 Clang 9 [email protected] ○ CHEP 2019 ○ Sustainable software packaging for end users with conda https://xkcd.com/1987/5 LCG from EP-SFT LCG from LHCb Homebrew ROOT builtin GCC 7.3 conda create !-name my-analysis \ GCC 8.2 python=3.7 ipython pandas matplotlib \ GCC9.2 root boost \ Homebrew +Python 3.7 tensorflow xgboost \ Self compiled against Python 3.6 (broken since updating -
Advanced Course 2019 Innovation, Growth and International
University of Urbino Carlo Bo Department of Economics, Society and Politics, School of Economics Sapienza University of Rome, Ph.D. School of Economics Scuola Normale Superiore, Dipartimento di scienze politco-sociali, Firenze in collaboration with Ph.D. Programme in Economics, Marche Polytechnic University Ph.D. Programme in Economics, Roma Tre University Advanced Course 2019 14th Edition Innovation, Growth and International Production. Models and Data Analysis Faculty of Economics, Sapienza University of Rome Via del Castro Laurenziano 9, Roma 13-17 May 2019 Monday, 13 May, Sala Lauree, Palazzina della Presidenza, 2nd floor 10.00 Presentation of the course Maurizio Franzini, Sapienza University of Rome Massimiliano Tancioni, Ph.D. School in Economics, Sapienza University of Rome Antonello Zanfei, University of Urbino 10.30-12.15 The engines of inequality Maurizio Franzini, Sapienza University of Rome 12.15-14.00 Innovation and employment: an economic analysis Marco Vivarelli, Catholic University of Milan 15.00-16.45 Wage inequality and education Michele Raitano, Sapienza University of Rome 16.45-18.30 Incomes, wages and inequalities: STATA class on individual data analysis Francesco Bloise, Roma Tre University, University of Urbino 1 Tuesday, 14 May, Aula Onida, 3rd floor 9.00-11.00 Multinational firms and the localization of production and R&D Antonello Zanfei, University of Urbino 11.15-13.00 Global Value Chains: participation, positioning and performance: a firm level analysis Anna Giunta, Roma Tre University 14.15-16.00 The Schumpeterian -
Conda Documentation Release
conda Documentation Release Anaconda, Inc. Sep 14, 2021 Contents 1 Conda 3 2 Conda-build 5 3 Miniconda 7 4 Help and support 13 5 Contributing 15 6 Conda license 19 i ii conda Documentation, Release Package, dependency and environment management for any language—Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, FORTRAN, and more. Conda is an open source package management system and environment management system that runs on Windows, macOS and Linux. Conda quickly installs, runs and updates packages and their dependencies. Conda easily creates, saves, loads and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language. Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager, because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment. In its default configuration, conda can install and manage the thousand packages at repo.anaconda.com that are built, reviewed and maintained by Anaconda®. Conda can be combined with continuous integration systems such as Travis CI and AppVeyor to provide frequent, automated testing of your code. The conda package and environment manager is included in all versions of Anaconda and Miniconda. Conda is also included in Anaconda Enterprise, which provides on-site enterprise package and environment manage- ment for Python, R, Node.js, Java and other application stacks.