The most common data science tools
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.
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.
Few months ago I decided to drop my career as an oceanographer and decided to become a backend developer with Python, as I told some of you here. After my blog post circulates on the internet, I got an invitation to talk on the Caipyra conference, in Ribeirão Preto (thanks Marco Rougeth).
Starting to contribute to an open-source project is always recommended to someone who is studying to be a programmer.
Hey!
On the last post I have written some tips for those who are starting in the world of programming, but today I want to talk something that happened to me before, and is happening to me now: There is just too much information on the internet! You will say that this is an obvious observation, but when you want to study something, this is just overwhelming!
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.
Hello, everybody! :D
On the last post I told everyone a little bit about my story, but now let’s begin the fun part! As I am studying and becoming a programmer I will try my best to pass along the fun and good things I am learning in the process, ok!?