Path: csiph.com!fu-berlin.de!uni-berlin.de!not-for-mail From: Mike Rans Newsgroups: comp.lang.python.announce Subject: Humanitarian Data Exchange (HDX) Python Library 1.0 released Date: Fri, 31 Mar 2017 02:50:52 -0700 (PDT) Lines: 25 Approved: python-announce-list@python.org Message-ID: References: <7f73345f-95d6-44a6-90f3-f788f9b2d341@googlegroups.com> Mime-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable X-Trace: news.uni-berlin.de /zl/7ZSEOspNC2DkYGPNKgSPJwWjgRPdOd+/qnvdGm9g== X-Orig-Path: y18no2465790itc.0!postnews.google.com!glegroupsg2000goo.googlegroups.com!not-for-mail Return-Path: X-Original-To: python-announce@python.org Delivered-To: python-announce-list@mail.python.org X-Spam-Status: OK 0.083 X-Spam-Evidence: '*H*': 0.84; '*S*': 0.00; 'url:pypi': 0.03; 'subject:Python': 0.04; 'passionate': 0.05; 'url:github': 0.05; 'subject:released': 0.07; 'python': 0.09; 'datasets': 0.16; 'github:': 0.16; 'pulling': 0.16; 'subject:1.0': 0.16; 'downloaded': 0.18; 'library': 0.20; 'user.': 0.20; 'volunteers': 0.22; 'thanks,': 0.25; 'header:User-Agent:1': 0.26; 'announce': 0.29; 'code': 0.30; 'url:python': 0.31; 'received:google.com': 0.32; 'michael': 0.32; 'data.': 0.32; 'source': 0.32; 'possible': 0.33; 'release': 0.34; 'but': 0.34; 'end': 0.35; 'growing': 0.35; 'received:209.85': 0.36; 'url:org': 0.36; 'projects.': 0.36; 'open': 0.37; 'more,': 0.37; 'large': 0.38; 'easily': 0.38; 'received:209': 0.38; 'questions': 0.38; 'data': 0.38; 'proto:https': 0.39; 'received:209.85.214': 0.39; 'received:io': 0.39; 'received:psf.io': 0.39; 'received:ams1.psf.io': 0.40; 'received:mail1.ams1.psf.io': 0.40; 'collection': 0.62; 'office': 0.63; 'easy': 0.63; 'designed': 0.63; 'us:': 0.64; 'subject:Data': 0.66; 'to:addr:comp-lang-python-announce': 0.66; 'sharing': 0.67; 'accessed': 0.72; 'nations': 0.76; 'to:addr:moderators.isc.org': 0.76; '2014,': 0.84; 'coordination': 0.84; 'territories.': 0.84; 'affairs': 0.91; 'subject:Exchange': 0.91; 'message- id:@googlegroups.com': 0.93 Delivered-To: comp-lang-python-announce@moderators.isc.org X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20161025; h=x-gm-message-state:path:newsgroups:date:complaints-to :injection-info:nntp-posting-host:user-agent:mime-version:message-id :subject:from:injection-date:to:content-transfer-encoding; bh=8D/F+5PIgiPzSrqezBBMpXnNgypScZ6AbAQjh3JbCFs=; b=csY7DLh7oPAUSsBkoinbp4F8BdBKMi1K0SGiwm2XYOkY8QYqxjCo4Gamo4v9+jhAXu KfxWSgnlYE0WSgYFfToQgO/H3m0eoSx0GQhzz9zi903Rg6Mjysf+IQ1QUhvH7aa6xaBm +3RWqD6P4TMFqAV+UMCPwq8EtalvLbPx165WWfKL/WU1okHqIUL2yIoOnlDtAdOyO/A2 nmPifFKPEuXP5Pl+yeJZeO1OpipfOme47EaK0i9ac9PCccWTZQa66DcMCnbnnNu7zpIa Lvmre3vV4ZwuN+Q/iEw5h1oigY3skvBifj0WEQVsceVLD0kCZJmOgJg5oo7ALlFfzB6F ggKw== X-Gm-Message-State: AFeK/H1t49meFGV3n2wwc5KxajSOACgtgXhtQnZpsUEBajJcKw5OOGI7HJLUzy4yyEkMx1NneEeDPksJ/8ppe09/W7BcxxM= X-Received: by 10.107.157.83 with SMTP id g80mr1710657ioe.4.1490953852695; Fri, 31 Mar 2017 02:50:52 -0700 (PDT) X-Received: by 10.157.84.22 with SMTP id j22mr240771oth.13.1490953852673; Fri, 31 Mar 2017 02:50:52 -0700 (PDT) Complaints-To: groups-abuse@google.com Injection-Info: glegroupsg2000goo.googlegroups.com; posting-host=80.62.119.157; posting-account=Tu7VmQoAAADiZ-8qlsDP3vhIoz8ZRL3C User-Agent: G2/1.0 Injection-Date: Fri, 31 Mar 2017 09:50:52 +0000 X-Mailman-Approved-At: Sat, 01 Apr 2017 03:36:59 -0400 X-BeenThere: python-announce-list@python.org X-Mailman-Version: 2.1.23 Precedence: list List-Id: Announcement-only list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-Mailman-Original-Message-ID: <7f73345f-95d6-44a6-90f3-f788f9b2d341@googlegroups.com> Xref: csiph.com comp.lang.python.announce:2437 This is to announce the release of the HDX Python Library 1.0 which is desi= gned to enable you to easily develop code that interacts with the Humanitar= ian Data Exchange platform. The major goal of the library is to make pushin= g and pulling data from HDX as simple as possible for the end user. https://data.humdata.org/ is an open platform for sharing data. The goal of= HDX is to make humanitarian data easy to find and use for analysis. Launch= ed in July 2014, a large and growing collection of datasets has been access= ed by users in over 200 countries and territories. The library can be downloaded from PyPI: https://pypi.python.org/pypi/hdx-p= ython-api/1.0 The source code is on GitHub: https://github.com/OCHA-DAP/hdx-python-api We would welcome volunteers passionate about humanitarian work to help us n= ot only with this library but other projects. If you have any questions or would like to know more, please email us: hdx@= un.org.=20 Thanks,=20 Michael Rans Data Scientist, Humanitarian Data Exchange (HDX) United Nations Office for the Coordination of Humanitarian Affairs (OCHA)