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Data Science. Probability distributions

There are a lot of engineers who have never been involved in statistics or data science. So, to build a data science pipelines or rewrite produced by data scientists code to an adequate, easily maintained code many nuances and misunderstandings arise from the engineering side. For these Data/ML...

Data Science. Bayes theorem

There are a lot of engineers who have never been involved in statistics or data science. So, in order to build data science pipelines or rewrite produced by data scientists code to an adequate, easily maintained code many nuances and misunderstandings arise from the engineering side. For these...

Data Science. Probability

There are a lot of engineers who have never been involved in statistics or data science. So, to build a data science pipelines or rewrite produced by data scientists code to an adequate, easily maintained code many nuances and misunderstandings arise from the engineering side. For these Data/ML...

Best blogs/podcasts to follow for Python developers

I want to share blogs and podcasts I occasionally read/hear stuff from. Python subreddit First things first. This is a good feed for any Python related news. Dev.to This is a great source of information for beginners and I really love the community around this resource. Ned Batchelder blog This...

Asynchronous programming. Python3.5+

This is a practical post of the series of asynchronous programming. Whole series: Asynchronous programming. Blocking I/O and non-blocking I/O Asynchronous programming. Cooperative multitasking Asynchronous programming. Await the Future Asynchronous programming. Python3.5+ In this post, we will...

11 steps of Scrum

99% of those dissatisfied with the results of their project are sure that they know who is to blame. Owners scold lazy contractors, programmers, stupid customers, etc. Who is right? All are mistaken. Each of us believes that only he knows how to react objectively to a situation, while the...