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A common linting error thrown by various linters is for trailing whitespace. I most often use flake8. I generally have [pre-commit](https://waylonwalker.com/pre-commit-is-awesome hooks setup to strip this, but sometimes I run into situations where I jump into a project without it, and my editor lights up with errors. A simple fix is to run this one-liner.

bash

git grep -I --name-only -z -e '' | xargs -0 sed -i -e 's/[ \t]\+\(\r\?\)$/\1/'

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There are many useful chrome extensions out there. I probably have way too many installed, here are four that I am currently using.

This post was inspired from Chris over at daily-dev-tips

Love it or hate it passwords are hard to manage. Everyone needs a password manager to avoid the dreaded password reuse, and to be able to quickly rotate them with a service. I use lastpass, thus it’s browser extension is my most used extension.

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Bash is a language that is quite useful for automation no matter what language you write in. Bash can do so many powerful system-level tasks. Even if you are on windows these days you are likely to come across bash inside a cloud VM, Continuous Integration, or even inside of docker.

I have three techniques that help me write more composable bash scripts.

Break scripts down into reusable components

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Here are three things that I see my non programming counterparts doing every single day. These really sum up so much of what folks do within an office. So many of us dabble in or become power users of spreadsheets without knowing there is an alternative out there that can save us time, automate boring things, and allow us to open up our minds for the part that we add value, Thinking about the data.

Lets face it, stitching together spreadsheets is zero value add by itself, but if you can see something in the data and take action on it, this can be huge value add to your company. Learning just a bit of python will help focus more of your attention on “value add operations” and leave the mundane stuff to your computer.

I see this one all the time. One team gets a spreadsheet from another team once per month and they need to stich all the pieces together. Excel really opens the door for some nasty hidden bugs in your manually stiched together data. It also takes time out of your day...

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miniconda is a python distribution from continuum. It’s a slimmed-down version of their very popular anaconda distribution. It comes with its own environment manager and has eased the install process for many that do not have a way to compile c-extensions. It made it much easier to install the data science stack on windows a few years ago. These days windows are much better than it was back then at compiling c-extensions. I still like its environment manager, which installs to a global directory rather than a local directory for your project.

Installing miniconda on Linux can be a bit tricky the first time you do it completely from the terminal. The following snippet will create a directory to install miniconda into, download the latest python 3 based install script for Linux 64 bit, run the install script, delete the install script, then add a conda initialize to your bash or zsh shell. After doing this you can restart your shell and conda will be ready to go.

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This post was inspired by a comment I left on @dsteenman’s post.

{% post dsteenman/how-long-should-a-blogpost-be-2k6n %}

Most of the time I prefer short as I am more likely to read the whole thing. If its setup as a series I am more likely to work my way through the whole series in a matter of a few sessions. Just my preference

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