The president-elect has kept his word on his administration being a lot less white, male, and kin to Donald Trump. But given that his ascension to the presidency could not have happened without the support of Black voters, it feels like a slap in the face that he added former Chicago mayor Rahm Emanuel to the cabinet.,Although Emanuel served as President Obama’s first White House chief of staff, is an alum of the Clinton administration, and is a former congressman, his name rings bells for most these days for his role in burying the truth of the 2014 police shooting of 17-year-old Laquan McDonald. An unarmed Black teen was shot 16 times and Rahm Emanuel helped suppress footage of the killing — footage that exposed police officers’ lies about the shooting — in order to help secure a second term.,I have long argued that year-end laments about how truly terrible the previous year was and how much better the next year will have to be are illogical and absurd —foolish, but oddly optimistic. As I wrote way back in 2014, “it takes a certain sort of courage to believe that this year of heartbreak was unique, to be kicked in the face by humanity’s worst instincts over and over and over and think it’s just a blip, a bug rather than a feature.” The previous year always feels like it was particularly difficult because life is particularly difficult. Generally speaking, next year’s going to be as hard as last year. They all are.,The Bulgarian actress was unknown before showing up, almost mysteriously, in Borat: Subsequent Moviefilm, playing Borat’s heretofore unseen daughter. She instantly electrified the tired Borat concept and became not just the movie’s ace in the hole, but also its surprising heart. The Giuliani scene will live on forever, but what she does in this movie very much transcends that: She’s fearless and hilarious and committed and still doesn’t forget that we need to be cheering for her. We absolutely do.,Building native features is one of the most challenging tasks when using a hybrid platform like react-native to develop mobile applications. These React Native libraries for Native features perform a significant role in developing cross-platform mobile applications at the enterprise level. If you are a React Native developer, stay tuned with the Github repositories of these libraries for the latest updates and releases.,2020, though, 2020 was a rough one. If 2021 isn’t better than 2020, I have to just assume that everyone died. (Which is, er, always a possibility?) So I think it’s acceptable, then, to look back at 2020 with righteous fury and irrepressible sadness. All years are bad. But this one was particularly bad.,But, to close out the year, I’d like to look at the positive, because … well, what choice do I have? I’m not going to reflect on the experiences we all went through in 2020, not only because they were miserable but also because we are all still going through them. Instead, I’m going to thank some people. Every Friday until the end of the year, I’ll shout out five people who got me through this wretched year. They may work in politics, or entertainment, or the arts, or any field in America or around the world. All that matters is that their contributions to the world in 2020 made it a little easier for the rest of us to make it through. We might not have made it without these people. They deserve, have well earned, some end-of-year love.,While I may be tempted to just recommend Python straight-away (Python is my main, but I do have some working knowledge of R), I want to present an unbiased evaluation of the effectiveness of the two languages for a beginner. This is mainly because the right choice is most definitely going to depend on your own particular situation.,Data Science as a distinct field emerged only in the last ten years and as a result, has been constantly evolving. But what has been consistent is that more and more of the data pipeline is being automated every day. Employees with a multitude of skills such as data engineering, data visualization, Machine Learning engineering, cloud service integration, and model deployment, are always going to be more in demand than those who specialize only in one aspect of the Data Science workflow. Much of the field’s progression has been shaped by automation and only employees with good programming skills are resistant to it. Specializing in building impressive Machine Learning models will not cut it in the near future unless of course, you are extremely good at it.,One massive advantage you may have if you are learning a new language is the support of the community. Getting help from the community is pretty much expected amongst programmers and is usually considered an important skill. As a beginner, it may be confusing to learn how to get help, especially because there aren’t many resources online in the art of getting help from the community. Building an intuition and knowing what to ask when there’s a bug in the code is essential. If you know someone who is proficient in Python, or if another researcher at your lab has been working with R, then your best bet would be to go with what they know because then you can always ask them questions if you get stuck.,The first and probably the most important factor you must consider is the reason WHY you want to learn. If you are a trained biologist, for example, looking to pick up some programming skills so you can better understand your dataset, or you are familiar with other scientific programming languages like MATLAB, then you should consider watching some R tutorials on YouTube because it would be simpler and more intuitive for you than Python. Or if you are a software engineer proficient in other languages like C/C and Java and would like to pivot into Data Science, Python would be the one to go with as just like most other popular programming languages, Python is an Object-Oriented Programming (OOP) language and it would be much more intuitive to you than R. Or, maybe you have been reading up about the fascinating field of Data Science recently and would like to dabble into it. In that case, either would really be fine and it would depend more on the other factors than this one.,Building native features is one of the most challenging tasks when using a hybrid platform like react-native to develop mobile applications. These React Native libraries for Native features perform a significant role in developing cross-platform mobile applications at the enterprise level. If you are a React Native developer, stay tuned with the Github repositories of these libraries for the latest updates and releases.,24. “Keep Your Distance” by William Garratt — 340,219,451 views These days, you can truly never have enough reminders for people to keep their distance to stay safe and healthy! This perfectly looping GIF by William Garratt was a great way to share that reminder.,One major difference in the utilities of Python and R is that the former is an extremely versatile language, compared to the later. Python is a full-fledged programming language, which means you can collect, store, analyze, and visualize data, while also creating and deploying Machine Learning pipelines into production or on websites, all using just Python. On the other hand, R is purely for statistics and data analysis, with graphs that are nicer and more customizable than those in Python. R uses the Grammar of Graphics approach to visualizing data in its #ggPlot2 library and this provides a great deal of intuitive customizability which Python lacks. Perhaps a little oversimplified, but it may be justified to say that if you want to be a Data Analyst R should be your preferred choice, while if you want to be a Data Scientist Python is the better option. It’s the dilemma of generalization vs. specialization.,The landscape of the industry at the moment is such that, at the beginner level, there are too many candidates who are “pretty” decent for too few junior Data Science jobs that are available. But for the slightly more senior positions, there aren’t enough practitioners who are experienced or have the right skillsets. And in order to take the next step in your career, you will ultimately need to be able to understand and implement the other stages of the workflow to some degree. So why not give yourself the highest probability of success?
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