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well-structured communication

Organize your collaboration with a remote team Remote work is growing in popularity. In a recent poll from Gallup, 37% of respondents said they already did some type of remote work. Obviously, going remote is the best way to go but of course, let us recognize the fact that it has its challenges. Once you decide to go remote, it can be difficult to approach organizational issues that come with managing staff all across the world. Tip 1. Schedule communications Your remote team will be working from a different location and probably a different time zone. Strictly keeping to scheduled meetings will help you organize your day and your team's workflow. Not having timely meetings can cause gaps in communication, delaying the launch of your project. Ukraine is conveniently located within three time zones of the rest of Europe, which is why many clients choose software development companies in Ukraine. Tip 2. Tools for remote teams Tools are essential for remote team collaboration as
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a remote teamalso study what technology stacks candidates

Where to find Python developer s Good Python developers are not easy to find and can be quite expensive too. But SteelKiwi has a solution: Ukrainian outsourcing companies. Find out why it's worth hiring Ukrainian tech talent. The online space is host to many freelance marketplaces for software development companies and individual Python developers. Software development companies can create profiles on marketplaces and post their projects alongside reviews and ratings from former clients. Reviews can give you a better idea of how a company works and the types of projects they've developed. Each of these platforms has a Python developer community: PYTHON DEVELOPMENT COMPANIES GoodFirms Clutch.co Appfutura Upwork Guru Venturepact Aciety PYTHON FREELANCERS Toptal GitHub Jobs Python.org Remote Python Stack Overflow People Per Hour Freelancer When looking for a development company, make sure to check out company websites, look at project portfolios, and study the
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There are usually several concepts interviewers are testing for on data science interviews but since they might only have time to ask 1-2 questions, they'll try to pack the concepts into one question. So it's important to know what these concepts are so you can look out for them in an interview. So what are they really testing for? Really what an interviewer is looking for are interviewees with an in-depth understanding of metric design and implementation of a real-world scenarios that would be present in the data. The key phrase here is "real-world scenario", which means that there are probably going to be multiple edge cases and scenarios you'll need to think through to solve the problem. There are 3 common concepts that they test for that test your understanding of how to implement code that solves real-world scenarios. Since they only have time to ask 1-2 questions in an interview before their time is up, you'll often see all 3 concepts wrapped in one
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