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SQL in Google Colab

All the code for the Medium Post

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Code for the medium post

numpy==1.19.5
tensorflow==2.4.1
scikit-learn==0.24.2

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Powering Semantic Similarity Search in Computer Vision with State of the Art Embeddings

Code for the Medium post Link

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Useful ES commands

1. Check available nodes: curl 'http://<ip_address>:9200/_cat/nodes?v'
2. Check available indices: curl 'http://<ip_address>:9200/_cat/indices?v'
3. Delete a specific index: curl -X DELETE 'http://:9200/?pretty'

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Python

A collection of useful Python snippets

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Supercharged Semantic Similarity Search in Production

Code for the Medium post Link

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Make Money on the side with Data Science!

Code for the Medium post Link

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DBS (Development Bank of Singapore) Data Analyst Interview

1. Python puzzle
   • Given a $2 \times 1$ non-negative integer array $\vec{a}$ and a $1 \times n$ integer array $\vec{b}$, write a function to return a $2 \times n$ logical matrix $x_{ij}$ such that $\sum_{j=1}^{n}x_{ij} = a_i$ and $\sum_{i=1}^{2}x_{ij} = b_j$. If there is no working matrix, please return string "impossible" (15 mins).
   • What is logical matrix? This is a matrix that $x_{ij} \in {0,1}$
   • Example: $\vec{a} = \begin{bmatrix} 3 \ 2\end{bmatrix}$, $\vec{b} = \begin{bmatrix} 2 & 1 & 1 & 0 & 1\end{bmatrix}$, one possible matrix is $\begin{bmatrix} 1 & 1 & 1 & 0 & 0 \ 1 & 0 & 0 & 0 & 1\end{bmatrix}$
   • Solution:

     import numpy as np

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Semantic Textual Similarity

Code for the Medium post Link

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ArXiv Semantic Paper Search

• Code from the Medium post Link