evrial

For those like me who wish to continue learning about ML using scientific Python stack, check this video workshop by Jake VanderPlas

Here is the code https://github.com/jakevdp/sklearn_pycon2015/

So what steps I did to setup correctly working PySpark with Anaconda with 200 libraries on courses Vagrant VM

1. Install Anaconda or Miniconda, you should be familiar with linux shell. Vagrant Spark VM is Ubuntu 32bit and Python 2.7 until PySpark for py3 not yet released. Get download url from http://continuum.io/downloads#all

evrial

1. sudo docker pull rhamdeew/lamp
2. sudo docker run -v /your_empty_project_path/:/var/www/srv/ -p 80:80 -t -i rhamdeew/lamp /bin/bash
3. in container: cp -R /var/www/example/* /var/www/srv
4. in container: cd /var/www/srv/
5. in container: ./start.sh
6. open http://localhost/1.php

Your project structure

projectname/

evrial

- word2vec https://arxiv.org/abs/1310.4546
- sentence2vec, paragraph2vec, doc2vec http://arxiv.org/abs/1405.4053
- tweet2vec http://arxiv.org/abs/1605.03481
- tweet2vec https://arxiv.org/abs/1607.07514
- author2vec http://dl.acm.org/citation.cfm?id=2889382
- item2vec http://arxiv.org/abs/1603.04259
- lda2vec https://arxiv.org/abs/1605.02019
- illustration2vec http://dl.acm.org/citation.cfm?id=2820907
- tag2vec http://ktsaurabh.weebly.com/uploads/3/1/7/8/31783965/distributed_representations_for_content-based_and_personalized_tag_recommendation.pdf
- category2vec http://www.anlp.jp/proceedings/annual_meeting/2015/pdf_dir/C4-3.pdf

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#!/Users/evrial/anaconda3/envs/base/bin/python3.7
# -*- coding: utf-8 -*-
import argparse
from deep_translator import GoogleTranslator
from deep_translator.exceptions import LanguageNotSupportedException

def main():
    parser = argparse.ArgumentParser(
        description='Python Google Translator as a command-line tool')
    parser.add_argument('text', help='The text you want to translate.')

evrial

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