Most Recent Posts
Our last post discussed using fisa-vimrc and appreciating the simple installation and ease of use. This post will explore, briefly, some tweaks and a short “how to” for each of the loaded plugins. This exercise will be worth your time if you have not explored these tools before.
Do not be concerned about finishing this post in one sitting. Take a section at a time and play with it. Move on when you are ready. A lot of information is here but that is because you have lot available to you under the hood. The sections below minimumly scratch the surface. Go play with each plug-in to at least find out what features it offers.
I want you to try this .vimrc setup.
I have had my own .vimrc for years. I recently came across fisa-vim-config and ended up dropping my extensive .vimrc, adopting the one above and adding a few tweaks to make it friendly to me. I was actually looking for more ALE-fixers when I found this gem.
It is simple, self installing and very powerful due to the vim Plugins that are installed and loaded.
I have posted several articles about python fabric and yet I failed to warn you about the dangers of version and module chaos.
Initially, fabric came as a python2 only application. They added support for python3 later. Here is the version I am using in a virtual environment (more about that in a minute). From within my pipenv project directory with pipenv shell loaded this is what I get running fab –version
fab --version Fabric3 1.14.post1 Paramiko 2.4.2
Here is how I created my virtual environment. I have used almost all of python’s virtual environment tools (and there a quite a few). And there has been a steady progression of improvements in those tools. My current goto for a python virtual environment is pipenv. It is simple, clean, and almost fool proof which is essential for me.
Ready, Set, Code!
How the heck does async/await work in Python 3.5?
This is a great in-depth article/essay on asyncio/await/coroutines in python. Strap on your seat belt and brew a fresh pot.Find it here
Curio - A Tutorial Introduction
Curio is a library for performing concurrent I/O using Python coroutines and the async/await syntax introduced in Python 3.5. Its programming model is based on existing system programming abstractions such as threads, sockets, files, locks, and queues.Find it here
This is intended as a quick reference and showcase. Quick-n-simple.Find it here