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Algorithms are detailed sets of guidelines created for a computer program to complete tasks efficiently and thoroughly.

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TheAlgorithms / C-Plus-Plus

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Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

search computer-science machine-learning algorithm algorithms cpp machine-learning-algorithms mathematics sort data-structures educational algorithm-competitions interview-questions hacktoberfest algorithms-implemented interview-preparation artificial-intelligence-algorithms instructor-materials
  • Updated May 17, 2022
  • C++

TheAlgorithms / C

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Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

c search computer-science education machine-learning algorithms datastructures machine-learning-algorithms mathematics interview sort learn-to-code data-structures educational algorithm-competitions interview-questions algorithm-challenges hacktoberfest community-driven
  • Updated Apr 28, 2022
  • C

scipy / scipy

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BUG: Power operator behaviour for sparse arrays

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jpdehollain
jpdehollain commented Apr 7, 2022

Describe your issue.

Currently, applying the ** operator to a sparse array implements the numpy.linalg.matrix_power function. This is not compatible with the np.array implementation of **, which does element-wise power. This should be fixed as part of the migration from sparse "matrices" to sparse "arrays". Additionally, the matrix_power function should then also be included in the

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defect scipy.sparse good first issue
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dotnet / machinelearning

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Typo under description

chrisxfire
chrisxfire commented Mar 23, 2022

Typo under the description: Returns a containing. Returns a what?

Document Details

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  • ID: d2dc315d-96d7-e54f-6e90-fec6ed09481c
  • Version Independent ID: ab5d0a68-35d6-ef5f-786e-d89e7fee8034
  • Content: [DataFrameColumn.Info Method (Microsoft.Data.Analysis)](https://docs.microsoft.com/e
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good first issue up-for-grabs P3
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The-Complete-FAANG-Preparation

AkashSingh3031 / The-Complete-FAANG-Preparation

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This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.

python java sql algorithms cpp dbms jupyter-notebook operating-system data-structures learn leetcode-solutions interview-questions aptitude dsa computer-network contributte interviewbit-solutions babbar faang-questions
  • Updated May 23, 2022
  • Jupyter Notebook
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