DeepSource was present at local meetups — BangPypers & Kubernetes 101 in Bangalore to talk about Continuous Quality & Kubernetes. Here's the gist of the talks. We care deeply about the developer community at DeepSource. Giving back to the community aligns with our mission of helping developers ship good code.
We care deeply about the developer community at DeepSource. Giving back to the community aligns with our mission of helping developers ship good code.
On this Saturday, March 16 2019, Sanket and Jai were present at local meet-ups to deliver talks. Here’s a gist:
Sanket delivered a talk titled Introduction to Continuous Quality. Along with a refresher to concepts of CI and CD, the process of CQ was introduced, discussing how it benefits the development process, and where it lies with CI and CD in the pipeline. The talk also included a demo of a CQ workflow powered by GitHub, DeepSource and CircleCI.
Jai delivered a talk titled Introduction to Kubernetes Networking, in which he talked about terminologies related to networking in Kubernetes and how components inside the cluster talk to each other. The session also included an overview of internals of cluster networking, including coreDNS and kube-proxy.
The team thanks the organizers of both the events for the opportunity to share our knowledge!
Our original Kubernetes tool list was so popular that we've curated another great list of tools to help you improve your functionality with the platform.
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like __init__, __call__, __str__ etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).