Import Python: Import Python Weekly Issue 108 - What every Python project should have ?

I wrote a simple Python script to combine the per-category ratings-only data from the Amazon product reviews dataset curated by Julian McAuley, Rahul Pandey, and Jure Leskovec for their 2015 paper Inferring Networks of Substitutable and Complementary Products. The result is a 4.53 GB CSV that would definitely not open in Microsoft Excel. The truncated and combined dataset includes the user_id of the user leaving the review, the item_id indicating the Amazon product receiving the review, the rating the user gave the product from 1 to 5, and the timestamp indicating the time when the review was written (truncated to the Day). We can also infer the category of the reviewed product from the name of the data subset.

apache spark

Users finding bugs? Searching logs for errors? Find + fix broken code fast!

Python 3.6 added another interesting new feature that is known as Syntax for variable annotations.

variable annotation

Over the past few years, the Python programming language gained a huge popularity boost and its community grew faster than ever. With this growth, a lot of tools appeared that help the community keep things organized and accessible. In this article I am going to provide a short list of iteOver the past few years, the Python programming language gained a huge popularity boost and its community grew faster than ever. With this growth, a lot of tools appeared that help the community keep things organized and accessible. In this article I am going to provide a short list of items every Python project should have in order to be accessible and maintainable.ms every Python project should have in order to be accessible and maintainable.

code quality

Benoit's first article we shared couple of issues back talked about the memory leak in his crawler and how he found the culprit. In this second and final post of the series, you'll find out how Benoit used a combination of techniques and tools to analyze and resolve memory leaks in his Python application.

debugging

Have you ever asked yourself how the store managers decide on product shelf placement in retail stores? There must be some strategy behind it, right? It can’t be just a random choice. Almost on daily basis, you receive product purchase recommendations from variety of sources where you have left your “digital fingerprint”. In many cases these recommendations make sense, what leaves you puzzled, how did they figured it out?

machine learning

Avoid Failure by Developing a Toolchain That Enables DevOps

Apache Spark Meetup talk on: Building a modern data discovery and BI platform using Apache Spark and Catalyst with Kevin Beyer

spark

Lessons learned by replacing httplib in Apache Libcloud with requests.

requests

Author Michael Hausenblas explores several use cases where serverless is a great fit—primarily short-running, stateless jobs in event-driven architectures found in mobile or IoT applications. He also provides a guide for migrating from a monolithic application structure to serverless computing. The code snippet in the last chapter is in Python. Though it's a toy application.

serverless

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FAAS

While the underscore _ is used for just snake-case variables and functions in most languages (Of course, not for all), but it has special meanings in Python. If you are python programmer, for _ in range(10) , __init__(self) like syntax may be familiar.

core-python

Understanding how chatbots work is useful. A fundamental piece of machinery inside a chat-bot is the text classifier. Let’s look at the inner workings of an algorithm approach: Multinomial Naive Bayes. This is a classic algorithm for text classification and natural language processing (NLP). Fancy terms but how it works is relatively simple, common and surprisingly effective.

naive bayes

As a curator I can state that Vasudev Ram is definitely one of the most consistent Python blogger in terms of no of articles / code snippets he writes.

core-python

Tab helps tourist businesses take bookings and get paid. We make tools for places like hostels, dive schools and surf lodges that simplify their lives, help them compete with bigger outfits and make their customers happy! Our goal is to boost local tourism, while helping backpackers and independent travellers make the most of their precious time abroad.

PyTorch is a python package that provides two high-level features - Tensor computation (like numpy) with strong GPU acceleration and Deep Neural Networks built on a tape-based autograd system. You can reuse your favorite python packages such as numpy, scipy and Cython to extend PyTorch when needed.

An open-source virtual assistant.

Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.

Frest is the frame of the restful api server created with flask.

Runtime type checking for python

django-eventsourcing offers common components that are required for building Event Sourcing Django applications.