In this short tutorial, we first reviewed how to create a dictionary with a for loop using an iterable object (such as a

Author : 6alardah
Publish Date : 2021-01-07 09:28:05


In this short tutorial, we first reviewed how to create a dictionary with a for loop using an iterable object (such as a

So write out your daily to-do list and how you want to spend your morning the night before. After a few weeks of practice, some habits will become automatic and the rest will get easier.

Want to read a book in the morning? Pick it out the night before. Want to work on a specific task first thing in the morning? Choose the task the night before and get right to it in the morning. Want to work out in the morning? Choose your gym clothes and put them in a strategic place for easy access.

Imagine if you knew exactly how to introduce yourself in a way that would leave an amazing first impression. It’s the kind of minor change that could have serious ramifications on the rest of your life — after all, first impressions count more than any future impressions you’ll make in a relationship.

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as grassroots, Jake figures, because he’ll fund it himself. Plus, he argues, a small nonprofit could maintain both the solidarity and efficiency of direct giving, with the added guardrails of knowledgeable employees and formal procedures and legal contracts. (Jake is himself a recovering addict, and entered treatment not long after his family’s company went public.)

“Planning the evening before is effective because we have a limited amount of willpower and decision-making ability every day. The thought of making too many decisions in the morning will slow you down and drain your brain for the rest of the day,” writes Britt Joiner of Trello.

I think most of you will agree if I say: it is important for data scientists to have ongoing projects besides a full-time job. The reason why I like to emphasize the necessity is fairly simple: we will only grow in life if we do things that we have not done before. This also holds for data science.

It pays to create your schedule and set your priorities the night before. Waking up to an actionable plan for the day will help you to focus more easily. A maximum of 3 priorities is a good start for a productive morning. If you’re setting your do-list first thing in the morning, you’re already too late!

If you are working in corporate data science, you are probably spending a lot of time on particular products. In some companies these product life cycles are nearly infinitely long. The consequence is that if you join large corporates, they will already have products in place. You are usually working in a developer team and will be adding particular features to these products. And if you transfer from one product development team to the next, you usually stay in your comfort zone, which means that if you were the NLP guy before, it is really likely that the next product feature you are supposed to develop will also demand NLP features. Further, you usually will have existing methods to solve specific problems such that a method is implemented for one feature and recycled for another. The focus lies more on trimming the existing method to a new set of questions and less on developing a new method from scratch. This is simply how the corporate world is working because this ensures fast results, which reduces internal development cost.

Authors Andrew Newberg, M.D. and Mark Robert Waldman tell us that “…a single word has the power to influence the expression of genes that regulate physical and emotional stress,” in their book Words Can Change Your Brain. That’s a lot of responsibility for just some words.

Mornings don’t have to be rough and unproductive. By doing a few focused things when you wake up and knowing what not to do, you can set yourself up for more productivity throughout the day.

The problem, as a lot of us will recognize, is that when humans get put under any kind of pressure conversationally, we don’t tend to make good impressions. We’re prone to talking too much about ourselves and forgetting the names of those we speak with.

Mornings don’t have to be rough and unproductive. By doing a few focused things when you wake up and knowing what not to do, you can set yourself up for more productivity throughout the day.

In this article I am going to give you an overview about why I think personal projects are important even after you have landed a full-time data science job. I will discuss the content that the projects should cover as well as some important red lines that you obviously should not cross with the choice of your projects.

Luckily, the benefit of having monkey brains that often let us down when we most need them is that they’re relatively easy to hack. You can train yourself to remember people’s names, for example, by using some simple mnemonic devices. You can subtly influence your own actions and those of others with material priming. And you can learn to make better first impressions just by changing the language you use.

“First impressions…are tightly connected with the enduring biases subjects bring along,” write Schiller et al in their 2009 study on a neural mechanism of first impressions.



Category : general

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