arthuralvim + python   390

A gallery of interesting IPython Notebooks · ipython/ipython Wiki
ipython - Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
ipython  galeria  notebook  python 
29 days ago by arthuralvim
19 Essential Snippets in Pandas
A compilation of Python Pandas snippets for data science. After playing around with Pandas for about a month, I've compiled a pretty large list of useful sni...
pandas  dicas  python 
29 days ago by arthuralvim
A guide to logging in Python | Opensource.com
Logging is a critical way to understand what's going on inside an application.
python  logging 
6 weeks ago by arthuralvim
The Tale of Creating a Distributed Web Crawler
In this post, you'll find out how I built and scaled a distributed web crawler, and especially how I dealt with the technical challenges that ensued.
web  python  scraping 
6 weeks ago by arthuralvim
Getting started — Conda documentation
conda create --name flowers --clone snowflakes
python  conda  anaconda 
6 weeks ago by arthuralvim
Boosting Product Categorization with Machine Learning
Product categories are the structural backbone of every online shop, but it can be quite a nightmare for e-commerce managers to make sure that all products are assigned to the correct categories. The…
python  aprendizagem-máquina 
9 weeks ago by arthuralvim
Bashing the Bash — Replacing Shell Scripts with Python
Let’s admit it, an application that looks like a free hoodie from a defunct web site doesn’t create a lot of confidence. How the application looks is important, just like with clothes. So lots of…
python  bash 
july 2017 by arthuralvim
Space, Time and Groceries – tech-at-instacart
At Instacart, we deliver a lot of groceries. By the end of next year, 80% of American households will be able to use Instacart. Our challenge: complete every delivery on-time, with the right…
python  comida  ecommerce 
july 2017 by arthuralvim
Amazon Athena Hands-On Workshop
This 1-day course provides hands-on skills in ingesting, analyzing, transforming and visualizing data using AWS Athena and getting the best performance when us…
amazon  athena  python 
june 2017 by arthuralvim
Image upload and moderation with Python and Flask – Antoine Grandiere – Medium
Almost all applications contain images. Image moderation has become a necessity. We will see in this article how to moderate your images automatically. We are going to create a small application that…
python  flask 
june 2017 by arthuralvim
How to turn Django Admin into a lightweight dashboard
Django Admin is a powerful tool for managing data in your app. However, it was not designed with summary tables and charts in mind. Luckily, the developers of Django Admin made it easy for us to…
django  dashboard  admin  visualização  python 
may 2017 by arthuralvim
How to build an image recognition system using Keras and Tensorflow for a 1000 everyday object…
In this series of posts, I will show you how to build your own recognition or detection/bounding box prediction web service in just a few lines of code using Keras, TensorFlow, and the python…
image  visão-computacional  keras  tensorflow  python  data-science 
april 2017 by arthuralvim
My open source Instagram bot got me 2,500 real followers for $5 in server costs
418 Likes, 15 Comments - Tim Großmann (@grossertim) on Instagram: "WOW! Already 2k followers 😍 🎉To celebrate, I'm giving away 2 of my handmade coconut-bowls to one of..."
instagram  python  bot 
april 2017 by arthuralvim
A Simple Guide for Python Packaging – Little Big Python – Medium
Code reuse is a very common need. It saves you time for writing the same code multiple times, enables leveraging other smart people’s work to make new things happen. Even just for one project, it…
python  package 
april 2017 by arthuralvim
Building An Analytics Data Pipeline In Python
This tutorial teaches you to build an end to end data pipeline using Python. Use Data Engineering to transform website log data into usable visitor metrics.
data-science  python 
april 2017 by arthuralvim
pytest fixtures nuts and bolts - Python Testing
I'd like to wrap up this recent series of pytest fixture posts by presenting my version of some sort of reference.Since this post is running a bit long, he
python  test 
march 2017 by arthuralvim
A Production-ready Dockerfile for Your Python/Django App | Caktus Group

Docker has matured a lot since it was released nearly 4 years ago. We’ve been watching it closely at Caktus, and have been thrilled by the adoption -- both ...
python  django  docker 
march 2017 by arthuralvim
Feature Extraction from Text - Home
This posts serves as an simple introduction to feature extraction from text to be used for a machine learning model using Python and sci-kit learn. I’m assuming the reader has some experience with sci-kit learn and creating ML models, though it’s not entirely necessary. Most machine learning algorithms can’t take in straight text, so we will create a matrix of numerical values to represent our text. We’ll go over the differences between two common ways of doing this: CountVectorizer ...
python  machine-learning  text 
march 2017 by arthuralvim
18 Most Common Python List Questions
Discover how to create a list in Python, select list elements, the difference between append() and extend(), why to use NumPy and much more.
python  questions 
march 2017 by arthuralvim
Searchable Datasets in Python: Images across Domains, Experiments, Algorithms, and Learning | Berkeley Institute for Data Science
When you hear about searching, chances are the first image that pops into your mind is a web browser and a web search engine. From ancient Alta Vista to Google, querying capabilities using web crawlers and indexers have shaped the way we pursue and retrieve information: “If you don’t know something, you Google it.” As of 2017, this simple action comes with a caveat: there are billions of websites in the world wide web, totaling approximately half a zettabyte or 10^21 bytes = 1,000,00...
python  data-science  images  dataset 
march 2017 by arthuralvim
Table of Contents – Quantitative Economics
This website presents a series of lectures on quantitative economic modelling, designed and written by Thomas J. Sargent and John Stachurski.
python  financeiro  economia  tutorial  estatística 
march 2017 by arthuralvim
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