GoCD is a continuous delivery tool specializing in advanced workflow modeling and dependency management. Our new AWS ECS elastic agents extension now allows you to scale up with on-demand agents based on your need. Try it now!
A natural default, None is probably the most commonly assigned value in Python. But what happens if you move it to the left side of that equation?
The goal of this series is to describe internals and general concepts behind the class object in Python 3.6. In this part, I will explain how Python stores and lookups attributes. I assume that you already have a basic understanding of object-oriented concepts in Python.
PyCharm has it’s own built-in linting, which is already useful and nicely integrated. However, it misses much that PyLint catches. In this post I explain how I integrate PyLint into PyCharm as an external tool, with links from the PyLint results back to the python file.
Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research.
Embed docs directly on your website with a few lines of code. Test the API for free.
Deep inside the many functionalities and tools of TensorFlow, lies a component named TensorFlow Object Detection API. The purpose of this library, as the name says, is to train a neural network capable of recognizing objects in a frame, for example, an image.
Dask Dataframe extends the popular Pandas library to operate on big data-sets on a distributed cluster. We show its capabilities by running through common dataframe operations on a common dataset.
A few weeks ago a few of us stood up pangeo.pydata.org, an experimental deployment of JupyterHub, Dask, and XArray on Google Container Engine (GKE) to support atmospheric and oceanographic data analysis on large datasets. This follows on recent work to deploy Dask and XArray for the same workloads on super computers. This system is a proof of concept that has taught us a great deal about how to move forward. This blogpost briefly describes the problem, the system, then describes the collaboration, and finally discusses a number of challenges that we’ll be working on in coming months.
pyclbr can scan Python source to find classes and stand-alone functions. The information about class, method, and function names and line numbers is gathered using tokenize without importing the code.
A Brand-new feature in Python 3.7 is “Data Classes”. Data classes are a way of automating the generation of boiler-plate code for classes which store multiple properties.
Learn Leap Fly: Using Python To Promote Global Literacy with Kjell Wooding – Episode 145 – Podcast.__init__
Learning how to read is one of the most important steps in empowering someone to build a successful future. In developing nations, access to teachers and classrooms is not universally available so the Global Learning XPRIZE serves to incentivize the creation of technology that provides children with the tools necessary to teach themselves literacy. Kjell Wooding helped create Learn Leap Fly in order to participate in the competition and used Python and Kivy to build a platform for children to develop their reading skills in a fun and engaging environment. In this episode he discusses his experience participating in the XPRIZE competition, how he and his team built what is now Kasuku Stories, and how Python and its ecosystem helped make it possible.
In this article, we will explore the Python programming language as a tool to retrieve various information about a system running Linux. Let's get started.
Now you can develop deep learning applications with Google Colaboratory -on the free Tesla K80 GPU- using Keras, Tensorflow and PyTorch.
Today I’ll show how TensorFlow’s print statements work, and how to make the most of them, hopefully saving you some confusion along the way.
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The Operations Engineering Team forms the backbone of our core business. We build reliable and scalable services to handle orders, payments, delivery SLAs, order tracking, logistics integrations to name a few. Our customers include Fynd users, Operations, Delights and Finance teams.
Your main mission is to lead de IT team (5/6 people, half the company) in charge of building and running j360.info.
safeyaml - 54 Stars, 3 Fork
SafeYAML: A linter for YAML-favoured JSON (& autoformatting too!)
simple_tensorflow_serving - 34 Stars, 3 Fork
Generic and easy-to-use serving service for machine learning models.
NapkinML - 27 Stars, 5 Fork
A tiny lib with pocket-sized implementations of machine learning models in NumPy.
loaf - 19 Stars, 0 Fork
A Slack Client written in Python wtih Urwid.
list-lambdas - 17 Stars, 1 Fork
Enumerate Lambda functions across all regions with useful metadata.
mini-docker - 10 Stars, 2 Fork
A tiny container.
mango - 7 Stars, 1 Fork
Python BDD Pattern.
aws_products - 7 Stars, 2 Fork
Script to retrieve the list of AWS Services and their one-line descriptions.
function-storage-example - 4 Stars, 1 Fork
Serverless Functions storage tutorial with Minio and OpenFaaS.
TrafficSignDetection - 4 Stars, 0 Fork
A Traffic Sign Detection System Written by Python (SVM Classifier).
Ankur has coded and deployed numerous Python software over the last 10 years, at three venture funded startup and a fortune 10 company. He currently heads Numerate Labs. ImportPython is his side project with Python being his go to programming language.