By the time I started High School I had willingly started to refer to myself as “mixed.” Something I picked up from my p

Both of my parents identify as Black. My siblings, cousins, aunts, and uncles all identify as Black. At least, I’ve never heard anyone in my family refer to themselves as anything but Black.

These kids (not just the Black ones) fluently spoke a different dialect of English than I did. I could more or less code-switch (mostly less) but this is where my problem with my racial identity began. As far as a lot of these kids were concerned, I spoke White, acted White, and looked a little White. To them, I might as well be White or, maybe more accurately, I wasn’t Black like they were Black. They knew it, and I knew it, and we probably weren’t best friends because of it.

It is another book that covers only the concepts directly related to data science and also contains lots of code examples, this time written in Python. It is aimed heavily at programmers and relies on using that skill to understand the key statistical concepts introduced. This book is therefore ideally suited to those who already have at least a basic grasp of Python.

I attended an affluent, majority-White elementary school. All my teachers were always White. The majority of my friends were White or Asian. Most of the few Black kids I went to school with were related to me. I learned to talk and in many ways act like an affluent White kid. It wasn’t until I got to middle school that the majority of students were people of color.

If I allowed the world to tell my kids they were mixed, they could begin to develop the idea that they don’t belong. I would be telling them, through inaction, that they didn’t have a right to either racial identity. They didn’t have a right to be like their dad or their mom. Placing them in a racial purgatory they could struggle with the rest of their life. I did.

The introduction for this book states that “this book is about turning knowledge into data” and it does a very good job of introducing statistical concepts through practical examples of data analysis.

Statistics is a very broad field, and only part of it is relevant to data science. This book is extremely good at only covering the areas related to data science. So if you are looking for a book that will quickly give you just enough understanding to be able to practice data science then this book is definitely the one to choose.

I explained to him that he would always be both Asian and Black. That he didn’t have to pick which he was. That all of him was Black. And all of him was Asian. No one could tell him he wasn’t Black enough or Asian enough unless he let them.

As the years go by, I make it a point to talk to my kids about race and racism in exactly the same way I talk to them about the latest Marvel Movie: matter-of-factly. I also make it a point to talk about sexism, gender identity, LGBTQ issues, poverty, drinking, sexting, and so on. Not talking to kids about sensitive issues leaves them vulnerable to those issues. At least, that’s my approach to parenting.

Growing up in my home, speaking anything other than conventional English was unaccepted. Dropping the “r” or “g” from the ends of the words and using too much slang was not either. My grandmother also taught me about good grammar (though you might not know it from some of my early drafts).

My grandfather was a chemist on a team that discovered two elements on the Periodic Table of Elements. Formal education had been my grandparents’ path to financial security and the way they created safety and opportunity for their children.

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id has had an even more devastating effect on the global economy — although we’ve seen the markets come close to collapse without the help of a global disaster, such as during the 2008 financial crisis. And the internet is certainly prone to failures, perhaps most starkly illustrated by the WannaCry ransomware attack of 2017, which is said to have affected more than 200,000 computers across 150 countries, causing billions of dollars’ worth of damage and lost earnings. Interestingly, one of the industries hit hardest by malware attacks that year was shipping, with them crippling parts of the supply chain as companies like Maersk were forced to watch their networks grind to a halt. What’s worrying is that while none of these were catastrophic failures, and the networks eventually recovered, in some cases it took years of expert analysis and debate to work out what actually went wrong, exactly because of how complex these systems are to understand.

It is filled with a lot of practical coded examples (written in R), gives very clear explanations for any statistical terms used and also links out to other resources for further reading.

Many of my ancestors are of multiple ethnic and racial backgrounds. The so-called mixing happened so far back on my family tree none of my living relatives are anything but Black.

My grandparents’ formal education and the ability to effectively code-switch and assimilate into the dominant (White) culture made it possible for them to live a very comfortable life. Don’t get me wrong, my grandparents were Black as fuck. And proud of it. My family was more Huxtables than Evans. We were very Black and very proud.