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README.md

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# easyaccess <a href="https://github.com/mgckind/easyaccess/releases/tag/1.4.2"> <img src="https://img.shields.io/badge/release-v1.4.2-blue.svg" alt="latest release" /></a> <a href="https://github.com/mgckind/easyaccess/blob/master/LICENSE.txt"><img src="https://img.shields.io/badge/license-NCSA%20License-blue.svg" alt="License" /> </a> <a href="https://pypi.python.org/pypi/easyaccess/1.4.2"><img src="https://img.shields.io/badge/pypi-v1.4.2-orange.svg" alt="pypi version"/></a><a href="https://anaconda.org/mgckind/easyaccess"> <img src="https://img.shields.io/badge/Anaconda Cloud-v1.4.2-blue.svg" /> </a>
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# easyaccess <a href="https://github.com/mgckind/easyaccess/releases/tag/1.4.3"> <img src="https://img.shields.io/badge/release-v1.4.3-blue.svg" alt="latest release" /></a> <a href="https://github.com/mgckind/easyaccess/blob/master/LICENSE.txt"><img src="https://img.shields.io/badge/license-NCSA%20License-blue.svg" alt="License" /> </a> <a href="https://pypi.python.org/pypi/easyaccess/1.4.3"><img src="https://img.shields.io/badge/pypi-v1.4.3-orange.svg" alt="pypi version"/></a><a href="https://anaconda.org/mgckind/easyaccess"> <img src="https://img.shields.io/badge/Anaconda Cloud-v1.4.3-blue.svg" /> </a>
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![help_screen](data/help.gif)
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Enhanced command line SQL interpreter client for astronomical databases.
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using cx_Oracle
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For a short tutorial check [here](http://matias-ck.com/easyaccess)
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(Using des credentials)
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**Current version = 1.4.2**
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**Current version = 1.4.3**
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## Requirements
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- write output results to csv, tab, fits files or HDF5 files
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- load tables from csv, fits or hdf5 directly into DB (memory friendly by using number of rows or memory limit)
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- intrinsic db commands to describe tables, own schema, quota and more
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- It can be imported as module from python, extense python API
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- It can be imported as module from python, complete python API
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- Can run command directly from command line
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- Load sql query from file and/or from editor
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- Show the execution plan of a query if required
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## Conda installation
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Now easyaccess can be installed using [conda](http://conda.pydata.org/docs/install/quick.html) out of the box!
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conda install easyaccess==1.4.2 -c mgckind
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conda install easyaccess==1.4.3 -c mgckind
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## Pip installation
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easyaccess can also be installed using `pip` but it'd require the installation of the oracle instant client first
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pip install easyaccess==1.4.2
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pip install easyaccess==1.4.3
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## Interactive interpreter
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config/conda/meta.yaml

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package:
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name: easyaccess
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version: "1.4.2"
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version: "1.4.3"
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source:
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git_rev: 1.4.2
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git_rev: 1.4.3
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git_url: https://github.com/mgckind/easyaccess.git
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build:

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