Python problem track

Python Foundations

The pad that opens an analyst or DE screen: means, activations, clip, flatten. Same tests in NumPy, Python, and PyTorch.

6 problems · ~32 min total · Data Analyst · Data Engineer · Analytics Engineer · Data Scientist · Data Architect

1. Step 1 · ~5 min · Google, Meta

   Mean

   Given an array of numbers nums, compute the arithmetic mean (average). Return the mean rounded to 2 decimal places.

   PythonNumPyPyTorch

   easyNot started

2. Step 2 · ~5 min · Google, Meta

   ReLU

   Implement relu(x): return the element-wise maximum of x and 0. Return a list of floats.

   PythonNumPyPyTorch

   easyNot started

3. Step 3 · ~6 min · Stripe, Google

   Clip

   Clip each value of x into [lo, hi] and return a list of floats.

   PythonNumPyPyTorch

   mediumProNot started

4. Step 4 · ~5 min · Amazon, Netflix

   Flatten

   Flatten a nested list of numbers one level: [[1,2],[3]] → [1,2,3].

   PythonNumPyPyTorch

   mediumProNot started

5. Step 5 · ~5 min · Meta, Netflix

   Count a value

   Count how many times target appears in x.

   PythonNumPyPyTorch

   mediumProNot started

6. Step 6 · ~6 min · Google, NVIDIA

   Dot product

   Implement dot(a, b): the sum of element-wise products of two equal-length vectors.

   PythonNumPyPyTorch

   mediumProNot started

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