Semantic Scholar
Open Access
2010
8509 sitasi
Data Structures for Statistical Computing in Python
Wes McKinney
Abstrak
In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets and to provide a set of fundamental building blocks for implementing statistical models. We will discuss specific design issues encountered in the course of developing pandas with relevant examples and some comparisons with the R language. We conclude by discussing possible future directions for statistical computing and data analysis using Python.
Topik & Kata Kunci
Penulis (1)
W
Wes McKinney
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2010
- Bahasa
- en
- Total Sitasi
- 8509×
- Sumber Database
- Semantic Scholar
- DOI
- 10.25080/MAJORA-92BF1922-00A
- Akses
- Open Access ✓