Awesome Data Analysis
Section: Useful Python Tools for Data Analysis · Extensions for standard Python datetime features.
FreshScore 80
Entry
GitHub
Appears in 5 awesome lists
by niemeyer Useful extensions to the standard Python datetime features
Open github.comdateutil/dateutil
Found in these lists
Awesome Made by Brazilians
Section: Python · by niemeyer Useful extensions to the standard Python datetime features
FreshScore 83
awesome-python
Section: Date and Time · Useful extensions to the standard Python datetime features
FreshScore 81
Best Of Python
Section: python-dateutil (29 · 2.6K) - Useful extensions to the standard Python datetime features. Apache-2 · (👨💻 130 · 🔀 540):
FreshScore 88
Awesome Python
Section: Date and Time · Extensions to the standard Python datetime module.
FreshScore 94
Often listed next to it
Dask
| Python | - Parallel computing with task scheduling in Python with a Pandas like API
In 11 listsDetails
Polars
| Rust, Python | - Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Columnar Format as memory model.
In 10 listsDetails
Pandas
(label: good first issue) Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
In 9 listsDetails
Vaex
Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted).
In 9 listsDetails
Numba
is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax. Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support…
In 8 listsDetails
Modin
| Python | - Modin: Speed up your Pandas workflows by changing a single line of code
In 8 listsDetails