GitHub

This project automates the reconciliation process between a company cashbook and bank statement using Python and Pandas.

The objective was to transform unstructured accounting records into a standardized reconciliation process capable of: • Matching transactions between two independent ledgers. • Identifying ...
note

For those who manually type out invoice PDF tables every time: How to convert to CSV using pdfplumber and pandas

Are you tired of manually typing out tables from invoices or statements received as PDFs into Excel? If there are many pages, it leads to transcription errors and takes a lot of time. By using a ...
GitHub

1ankitrawat1/gurgaon-real-estate-market-analysis-python

This Python project analyzes Gurgaon residential real estate listings. The objective was to clean scraped marketplace data, remove inconsistencies, engineer useful features, and identify pricing ...
C&EN

Building Block-Based Binding Predictions for DNA-Encoded Libraries

Get article recommendations from ACS based on references in your Mendeley library. Pair your accounts.
Frontiers

Time series clustering reveals three evolution patterns of duty-related crimes in construction engineering

By comparing the time series clustering performance under two similarity measurement methods, the clustering result based on SBD has a DBI of 0.6529, significantly smaller than DTW’s 0.9003 ...