Text

A plugin for Jupyter that can save Jupyter notebooks as either

jupytext Have you always wished Jupyter notebooks were plain text documents? Wished you could edit them in your favorite IDE? And get clear and meaningful diffs when doing version control? Then… Jupytext may well be the tool you’re looking for! Jupytext is a plugin for Jupyter that can save Jupyter notebooks as either Markdown files (or MyST Markdown files, or R Markdown documents) Scripts in many languages. Use cases Common use cases for Jupytext are: Doing version control on Jupyter […]

Read more
HTTP

Primarily for checking the HTTP response on all links on a page

PyAnchor Dead links are an annoyance for websites with an extensive amount of content. A side from the negative impact on SEO, dead links are an annoyance for any user that clicks on one. PyAnchor is primarily for checking the HTTP response on all links on a page. You can integrate it into your development workflow so that users never see a 404 in the first place. Install PyAnchor requires Python 3.6 and above. MacOS / Linux: $ python3 -m […]

Read more
Cryptocurrency

Python Dash app that tracks whale activity in cryptocurrency markets

crypto-whale-watching-app Welcome! This is a Python-based Dash app meant to track whale activity in buy / sell walls on crypto-currency exchanges (presently just operational for GDAX, but more exchanges to come). This document aims to explain the purpose, functionality, and future of this project. Please do share this with your fellow coders / traders / crypto-aficionados, and contribute to the future of this project by calling out issues, requesting new features, and submitting pull requests to improve the app. The […]

Read more
Network

A simple URL shortener app using AWS Chalice

url-shortener-chalice A simple URL shortener app using AWS Chalice. Please make sure your to configure your AWS credentials before starting with deploying things onto AWS. aws configure Dependencies are included in the file: requirements.txt Please note the below chalice scheduler is configured to clean up the dynamo-db table entries every 24 hours. Deployment steps: aws cloudformation deploy –template-file .chalicedynamodb_cf_template.yaml –stack-name “url-shortner-stack” chalice deploy Testing steps screenshots: Teardown steps: chalice delete aws cloudformation delete-stack –stack-name “url-shortner-stack” GitHub https://github.com/rg666/url-shortener-chalice    

Read more
Tool

Fitting thermodynamic models with pycalphad

ESPEI ESPEI, or Extensible Self-optimizing Phase Equilibria Infrastructure, is a tool for thermodynamic database development within the CALPHAD method. It uses pycalphad for calculating Gibbs free energies of thermodynamic models. Installation Anaconda (recommended) ESPEI does not require any special compiler, but several dependencies do. Therefore it is suggested to install ESPEI from conda-forge. conda install -c conda-forge espei What is ESPEI? ESPEI parameterizes CALPHAD models with enthalpy, entropy, and heat capacity data using the corrected Akiake Information Criterion (AICc). This […]

Read more
Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 83: On Language Indentity and Zero-Shot Transfer

This week I will comment on two papers on zero-shot cross-lingual model transfer which do not focus on the representation quality but on the transfer itself. The title of the first one is Language Embeddings for Typology and Cross-lingual Transfer Learning and has authors from UC Davis. The second is Syntax-augmented Multilingual BERT for Cross-lingual Transfer and has authors from UC LA and Facebook AI. Both papers will appear at this year’s ACL. Just a reminder, zero-shot model transfer means […]

Read more
Python

Python Practice Problems: Parsing CSV Files

Day,MxT,MnT,AvT,AvDP,1HrP TPcpn,PDir,AvSp,Dir,MxS,SkyC,MxR,Mn,R AvSLP 1,88,59,74,53.8,0,280,9.6,270,17,1.6,93,23,1004.5 2,79,63,71,46.5,0,330,8.7,340,23,3.3,70,28,1004.5 3,77,55,66,39.6,0,350,5,350,9,2.8,59,24,1016.8 4,77,59,68,51.1,0,110,9.1,130,12,8.6,62,40,1021.1 5,90,66,78,68.3,0,220,8.3,260,12,6.9,84,55,1014.4 6,81,61,71,63.7,0,30,6.2,30,13,9.7,93,60,1012.7 7,73,57,65,53,0,50,9.5,50,17,5.3,90,48,1021.8 8,75,54,65,50,0,160,4.2,150,10,2.6,93,41,1026.3 9,86,32,59,61.5,0,240,7.6,220,12,6,78,46,1018.6 10,84,64,74,57.5,0,210,6.6,50,9,3.4,84,40,1019 11,91,59,75,66.3,0,250,7.1,230,12,2.5,93,45,1012.6 12,88,73,81,68.7,0,250,8.1,270,21,7.9,94,51,1007 13,70,59,65,55,0,150,3,150,8,10,83,59,1012.6 14,61,59,60,55.9,0,60,6.7,80,9,10,93,87,1008.6 15,64,55,60,54.9,0,40,4.3,200,7,9.6,96,70,1006.1 16,79,59,69,56.7,0,250,7.6,240,21,7.8,87,44,1007 17,81,57,69,51.7,0,260,9.1,270,29,5.2,90,34,1012.5 18,82,52,67,52.6,0,230,4,190,12,5,93,34,1021.3 19,81,61,71,58.9,0,250,5.2,230,12,5.3,87,44,1028.5 20,84,57,71,58.9,0,150,6.3,160,13,3.6,90,43,1032.5 21,86,59,73,57.7,0,240,6.1,250,12,1,87,35,1030.7 22,90,64,77,61.1,0,250,6.4,230,9,0.2,78,38,1026.4 23,90,68,79,63.1,0,240,8.3,230,12,0.2,68,42,1021.3 24,90,77,84,67.5,0,350,8.5,10,14,6.9,74,48,1018.2 25,90,72,81,61.3,0,190,4.9,230,9,5.6,81,29,1019.6 26,97,64,81,70.4,0,50,5.1,200,12,4,107,45,1014.9 27,91,72,82,69.7,0,250,12.1,230,17,7.1,90,47,1009 28,84,68,76,65.6,0,280,7.6,340,16,7,100,51,1011 29,88,66,77,59.7,0,40,5.4,20,9,5.3,84,33,1020.6 30,90,45,68,63.6,0,240,6,220,17,4.8,200,41,1022.7    

Read more
Advanced, Listicle, NLP, Python, Text, Unstructured Data

Must Known Techniques for text preprocessing in NLP

This article was published as a part of the Data Science Blogathon In any Machine learning task, cleaning or preprocessing the data is as important as model building. Text data is one of the most unstructured forms of available data and when comes to deal with Human language then it’s too complex. Have you ever wondered how Alexa, Siri, Google assistant can understand, process, and respond in Human language. NLP is a technology that works behind it where before any response […]

Read more
NLP

3 Painful Mistakes Leaders Can Avoid When Buying AI Solutions

85% of global executives believe that AI can become their competitive advantage. So, the rush to AI adoption is understandable. Unfortunately, implementing AI from scratch takes time, and success comes with experience in building and deploying solutions. To speed things up, “buying” instead of building from scratch seems like a sensible way to get started; You don’t have to hire a team of data scientists, spend on additional infrastructure, or have support staff on call to troubleshoot model problems. Plus, […]

Read more
Text

Python 3 module to print out long strings of text with intervals of time inbetween

Python-Fastprint Python 3 module to print out long strings of text with intervals of time inbetween Install:pip install fastprint Sync Usage: from fastprint import pr pr(“longntext”) # each line takes 1 second pr(“othernlongtext”, 0.2) # each line takes 0.2 seconds Async usage: from async_fastprint import async_pr async def foo: return async_pr(“Thisnisnasynchrounous!”) Check out example.py for more GitHub https://github.com/ThatOneCalculator/Python-Fastprint    

Read more
1 … 616 617 618 619 620 … 928