Fast Nepali (Bikram Sambat) datetime library
Project description
NPDateTime - Python
Fast Nepali (Bikram Sambat) datetime library for Python, powered by Rust.
Installation
pip install npdatetime
Quick Start
from npdatetime import NepaliDate
# Create a Nepali date
date = NepaliDate(2077, 5, 19)
print(date) # 2077-05-19
# Convert to Gregorian
year, month, day = date.to_gregorian()
print(f"{year}-{month:02d}-{day:02d}") # 2020-09-04
# Create from Gregorian
date = NepaliDate.from_gregorian(2020, 9, 4)
print(date) # 2077-05-19
# Get today's date
today = NepaliDate.today()
print(today)
# Format dates
formatted = date.format("%d %B %Y")
print(formatted) # 19 Bhadra 2077
# Date arithmetic
future = date.add_days(30)
print(future)
Features
- ⚡ Blazing Fast: 100x faster than pure Python implementations
- 🎯 Accurate: Verified against official BS calendar data (1975-2100)
- 🔧 Simple API: Pythonic interface with full type hints
- 🌍 Battle-tested: Rust core ensures reliability
License
MIT
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file npdatetime-0.1.4-cp314-cp314-win_amd64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp314-cp314-win_amd64.whl
- Upload date:
- Size: 148.1 kB
- Tags: CPython 3.14, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
500c98106c38a22e008ca865bf05c0c260449189c0b465bb57660cbf85ca75fd
|
|
| MD5 |
bc0db494b4cf6dca34313b4d211c316b
|
|
| BLAKE2b-256 |
73da6b4c8046360865a96a95bc46f7e3d89d10b9c2cbdb47c06c1ca67ca2c919
|
File details
Details for the file npdatetime-0.1.4-cp314-cp314-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp314-cp314-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 290.5 kB
- Tags: CPython 3.14, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
796ea0e9505621c63a3e201a4388c944ac039faeba35536f8dde9a75064d658d
|
|
| MD5 |
1992d8bdd78450e8b3987a4cae26923f
|
|
| BLAKE2b-256 |
1e552882ce768f7a6c99e9688fd3568f5135b739f6c7cec8561ee78bbf34e1a2
|
File details
Details for the file npdatetime-0.1.4-cp314-cp314-macosx_11_0_arm64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp314-cp314-macosx_11_0_arm64.whl
- Upload date:
- Size: 249.0 kB
- Tags: CPython 3.14, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
489d70321cbed540e4065d9b66ed5cc0646cbe7546c8e74c9e0620bcf8aaa7c0
|
|
| MD5 |
2bf43012526b654faa846e0684f46821
|
|
| BLAKE2b-256 |
88efb61271aa9776a67e467fa2d7972b359c3acbe7757dd04921063e9bc10982
|
File details
Details for the file npdatetime-0.1.4-cp313-cp313-win_amd64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp313-cp313-win_amd64.whl
- Upload date:
- Size: 148.1 kB
- Tags: CPython 3.13, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e07d8f95675efa8b65044f0d30fee1bc4d1f60d6f698e5b4ebe7ee1d03d57b28
|
|
| MD5 |
176e2c8ddaabbe42e223d792599aec12
|
|
| BLAKE2b-256 |
e0cf7028c7b3a2915296d49f3b8a328e2742e14cf8b69fcd35745870e434dd1a
|
File details
Details for the file npdatetime-0.1.4-cp313-cp313-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp313-cp313-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 290.5 kB
- Tags: CPython 3.13, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
53ff3e095f000e8039446dcdced7e0932ac97111a47ff7533e469e09845157e0
|
|
| MD5 |
36cff5edea4b837c018f83a11ad72229
|
|
| BLAKE2b-256 |
245b7a51e54a43a4b116ef595a58473c94d1ef2847ac52b9353baaa3bce14fb4
|
File details
Details for the file npdatetime-0.1.4-cp313-cp313-macosx_11_0_arm64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp313-cp313-macosx_11_0_arm64.whl
- Upload date:
- Size: 249.0 kB
- Tags: CPython 3.13, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a946d79526bd9c8ee02bdf68b4a20e05d41d8c53a54932be463ce97148c1278b
|
|
| MD5 |
8657f8276224cc0875e928d5694e070c
|
|
| BLAKE2b-256 |
d3fbbaccc26958b1fc64f0ce7731035cbbc9039a6c0c3c84ff40db1dd01c9e6c
|
File details
Details for the file npdatetime-0.1.4-cp312-cp312-win_amd64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp312-cp312-win_amd64.whl
- Upload date:
- Size: 148.1 kB
- Tags: CPython 3.12, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6263929cfba62f283ac1e79ed8d69abec3e7a548beca0b7477ff08e5492b3a17
|
|
| MD5 |
9a694cd5849d40553ec9f82c363a5959
|
|
| BLAKE2b-256 |
66c1d44ee72a4f50854ca8a4a1dfd18f3c7443f908b49ddeb74479032710f8bf
|
File details
Details for the file npdatetime-0.1.4-cp312-cp312-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp312-cp312-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 290.5 kB
- Tags: CPython 3.12, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fef7e60671c3e8286468e41bcf4abbcbf5bc10a202ce1f11335b123dc33299f5
|
|
| MD5 |
67ca5da9d71a9d3e986eacf569fdd063
|
|
| BLAKE2b-256 |
b4c3e0eaae409dc5e720de7f6145ce921c27ce6707b82473639c92be12d0fd8c
|
File details
Details for the file npdatetime-0.1.4-cp312-cp312-macosx_11_0_arm64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp312-cp312-macosx_11_0_arm64.whl
- Upload date:
- Size: 249.0 kB
- Tags: CPython 3.12, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0c1eb7fa751fefdc441bdb0f6a20f82111fae9a9c03075d32252d57f19c656aa
|
|
| MD5 |
743ed3614afb35d1aec830025ae4d56a
|
|
| BLAKE2b-256 |
95a9fdd2a89039582505c0aef5c0f73d51d44d538c2ea661603e5eb8cff551b9
|
File details
Details for the file npdatetime-0.1.4-cp311-cp311-win_amd64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 148.5 kB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9eba553ac7a13fcd4e84294f1997b068d83a37ddde80659a4ad086708d9a595d
|
|
| MD5 |
7e150bd8690d32d8feb59416010c18ff
|
|
| BLAKE2b-256 |
a4eca5dd0075e3a7da48cc9f9c660c3c5be7926fd0ae3a4693cc2acd1a96f7e1
|
File details
Details for the file npdatetime-0.1.4-cp311-cp311-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp311-cp311-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 291.7 kB
- Tags: CPython 3.11, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ef9f8320f2920e9a2d1d2aa38444a3ec74474e8b12719af51af117bcab6e8766
|
|
| MD5 |
9ced261be62f15de8410bc2f8bc309a0
|
|
| BLAKE2b-256 |
dd12a8532c32991e2335dc4b8614c93bde705e6b3a846793bb743c5136947e3d
|
File details
Details for the file npdatetime-0.1.4-cp311-cp311-macosx_11_0_arm64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp311-cp311-macosx_11_0_arm64.whl
- Upload date:
- Size: 250.7 kB
- Tags: CPython 3.11, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b228eedfad274c3529fdf342c5f20b6568ad0e0af1a09da2aca93cbbdd9080b9
|
|
| MD5 |
13ad58634f8487f1f8592bf1e902ba07
|
|
| BLAKE2b-256 |
1499b75d71a1642608411bfb4715a0a76936f3798f90992d9aad35dc8d6bddf0
|
File details
Details for the file npdatetime-0.1.4-cp310-cp310-win_amd64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 150.7 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4b5ba8b5a18523abbc1abbd830796c6d79643df9b59e9c3ab8b251988da8f9c3
|
|
| MD5 |
23ea3aedd5057aa100db00ab5c0d2721
|
|
| BLAKE2b-256 |
e4f7a4a020339402f92f2905325bc04bc5848c6816e54a74109ae6a81411931d
|
File details
Details for the file npdatetime-0.1.4-cp310-cp310-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp310-cp310-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 293.9 kB
- Tags: CPython 3.10, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6a817fdf9a1ae8be3d02d6a82f576c5b192bdbee0f215860a123601ae870d255
|
|
| MD5 |
3dfee7f3e8a7d74d4bf5343fb829d0fb
|
|
| BLAKE2b-256 |
f37fc6f3e0a6674b0c583c61928627e1cc744c64162499b9c46ca82e3175b43b
|
File details
Details for the file npdatetime-0.1.4-cp310-cp310-macosx_11_0_arm64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp310-cp310-macosx_11_0_arm64.whl
- Upload date:
- Size: 253.7 kB
- Tags: CPython 3.10, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
48241408bc27816dbc30120747c6a8a47affc239add3118c01b8e37a5cb16dc4
|
|
| MD5 |
6a8394d444ac5d231a03ebfcb14fc7bd
|
|
| BLAKE2b-256 |
dadffc928a61c203cda4bf0175bf6a93bd901f68827f84e54df0640c60ab0169
|
File details
Details for the file npdatetime-0.1.4-cp39-cp39-win_amd64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 152.2 kB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dc1eb45a5c3ae2965ac22121740aa6967b18eeec48f58fe1e95dbd2fbf48343a
|
|
| MD5 |
53a0ddd4d1ebe04e1b4c08f4752930fc
|
|
| BLAKE2b-256 |
2f90ccde4cd4c20ebbbc769e1a32c44324d78d106c5c5f8721efa55fb766e974
|
File details
Details for the file npdatetime-0.1.4-cp39-cp39-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp39-cp39-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 294.8 kB
- Tags: CPython 3.9, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bb4f33c20631faa6e2e4cd0360af78185ba8f87066560b7d818bfcaabbf50761
|
|
| MD5 |
c0b0287978c340f0b33d98d2f4ca080e
|
|
| BLAKE2b-256 |
e87667b536b8897b4a8ed3429dd9bc00c50aa3e3886537dc6715fd8dfd194603
|
File details
Details for the file npdatetime-0.1.4-cp39-cp39-macosx_11_0_arm64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp39-cp39-macosx_11_0_arm64.whl
- Upload date:
- Size: 255.4 kB
- Tags: CPython 3.9, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2e7cd0a0b8170377924d9a8aa8660c2adcf323ee0b030a2feff48f89a0abf271
|
|
| MD5 |
56c2830cfea03f20304de88ea2969404
|
|
| BLAKE2b-256 |
d49085bb18e1a7f7a3e8197ee6cedb46b30b8b4cd1207f2c0eac1f95389991d5
|
File details
Details for the file npdatetime-0.1.4-cp38-cp38-win_amd64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 151.7 kB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b398d15d883e595db871077fba8e92f5bffb087e75b076e3e17fed5ed731d3e1
|
|
| MD5 |
8b5b2b7bb6431e2fd97c4c67651f20b1
|
|
| BLAKE2b-256 |
e90ffeb0b8072822a5eae912a9b4e8cf589cfcceaab5a2ce76a91a88b7ca1698
|
File details
Details for the file npdatetime-0.1.4-cp38-cp38-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp38-cp38-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 294.5 kB
- Tags: CPython 3.8, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
acfe8bc2b9438f1979483b47aa5ff54d9dc8dd62f55b90913e36471e7fc4fbd8
|
|
| MD5 |
ff7f9226967d9f31a05a8b3fbd1c4fc3
|
|
| BLAKE2b-256 |
05fca242fc97fd1f2cab16222eccbd8cef754c0bef6c4f451fd6829a6666e233
|
File details
Details for the file npdatetime-0.1.4-cp38-cp38-macosx_11_0_arm64.whl.
File metadata
- Download URL: npdatetime-0.1.4-cp38-cp38-macosx_11_0_arm64.whl
- Upload date:
- Size: 254.9 kB
- Tags: CPython 3.8, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
65d4502b29d9832afdb84f1e13f2e254129d5ebfddc181162fcc2ee375fc7355
|
|
| MD5 |
cf1c60073c82aef09789571427800f79
|
|
| BLAKE2b-256 |
15abe53035e781d31ebebe7571399c8d2edb5a93a10e974586a3d1b5f64fe416
|