- Firstly, go through this recording on Youtube: Python and Git session
There’s 2 questions in the task to help you get comfortable with Python, do try both of them out.
- Python Tasks:
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Check the above recording out to get started with Python.
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A. Create two vectors 𝑦 and 𝑦̂ having the same dimensions, where 𝑦̂ should consist of random numbers between [0,1) and 𝑦 should contain 0𝑠 and 1𝑠, for example, 𝑦=[0,1,1,0,1,0,0,1,...,1]. Compute the given expression:
Where n = 100, is the total number of elements in y and 𝑦̂
Note: The expression O, which you have computed is actually a Cross-Entropy loss function used in machine learning for classification tasks which tells us how bad or good the model is performing, if O is large then the model is performing worst and vice versa.
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B. Write a Python class to find a pair of elements (indices of the two numbers) from a given array whose sum equals a specific target number. Note: There will be multiple solutions, so create a dictionary where the keys represent just [S.No] (1,2,3,4.....) and the value corresponding to the key represents the indices of the two numbers
For example:
Input: numbers= [10,20,10,40,50,60,70], target=50
Output: {1: [0, 3], 2: [2, 3], 3: [3, 0], 4: [3, 2]}
- Git Tasks:
- Fork and clone this Github repository.
- Create a new branch and set its name to your “Name”.
- Create a folder named "Name" (or Handle) in which you have all the contents of the code you want to submit. (solutions to question A and B).
- Merge your branch with the master branch.
- Pull origin & add files, commit and push to fork.
- Create pull request on main repo.
- Create Issue.(optional)
Extra resources for Getting Started with Git: