Tag: native
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📖 tl;dr: Whether you’re building, testing and/or linting JavaScript, module resolution is always at the heart of everything. Despite its central place in our tools, not much time has been spent on making that aspect fast. With the changes discussed in this blog post tools can be sped up by as much as 30%. In part 1 of this series…
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To change a column’s data type to int (float/string to integer/int64/int32 dtype), use the pandas DataFrame.astype(int) and DataFrame.apply() methods. If you are converting a float, you probably already know that it is larger than an int type and would remove any number with a decimal point.
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