Tutorial given during the OceanHackWeek 2020
AKA magics to plug holes in your dataset
The lovely Pyladies-Salvador asked for a text to debut their blog and told me that they would publish it on Women’s Day. I reflected a lot on what to write, what I could somehow add to that day that has so much meaning, and decided that I would like to talk to you about ambition. How ambitious do you consider yourself?
When you start entering the data science world, things can become really messy. There are thousands of concepts and meanings, most of them thrown at you at the same time.
One year ago I started my new job as a Backend Python Developer. I have dropped a career, a profession and I almost drop my master degree. When everything happened, I think I didn’t understand the proportions that decision would have in my life. Now, one year later, I want to tell you a little bit about what happened this year.
This is the fifth post on my internship on the Outreachy Program with Project Jupyter. The previous posts are available and should be read in order if you want to understand the big picture: Outreachy I Outreachy II Outreachy III Outreachy IV Increasing documentation Native Authenticator was pretty advanced, but we still needed more information available on the documentation. And this got me thinking: what is relevant to make a good documentation?
On November I discovered that I was selected for the Outreachy internship program for the batch of December 2018 to March 2019.
As I write this article, I am already talking from this world… the one we actually know so well. But I will try to explain, as best as I can, everything that I lived in this awesome week I spent in Portland at the Pycon 2016.