Skip to main content

Semi-analytical transit light curve modelling

Project description

The author of this package has not provided a project description

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

catwoman-1.0.1.tar.gz (34.0 kB view details)

Uploaded Source

Built Distributions

catwoman-1.0.1-py3.7-macosx-10.7-x86_64.egg (85.4 kB view details)

Uploaded Source

catwoman-1.0.1-py2.7-macosx-10.6-intel.egg (122.0 kB view details)

Uploaded Source

catwoman-1.0.1-cp37-cp37m-macosx_10_7_x86_64.whl (80.2 kB view details)

Uploaded CPython 3.7m macOS 10.7+ x86-64

catwoman-1.0.1-cp27-cp27m-macosx_10_6_intel.whl (117.4 kB view details)

Uploaded CPython 2.7m macOS 10.6+ intel

File details

Details for the file catwoman-1.0.1.tar.gz.

File metadata

  • Download URL: catwoman-1.0.1.tar.gz
  • Upload date:
  • Size: 34.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for catwoman-1.0.1.tar.gz
Algorithm Hash digest
SHA256 9edc3ecd86b6288cd82cbb978e58b3de908f8025aa37c7662501458584ad12c8
MD5 e908abf14b8f136beaa41dc9500c8d5b
BLAKE2b-256 97c3e0e89f755b4593371daae8bbbf65bba964ada2210519d2f42851c1e7cdb3

See more details on using hashes here.

File details

Details for the file catwoman-1.0.1-py3.7-macosx-10.7-x86_64.egg.

File metadata

  • Download URL: catwoman-1.0.1-py3.7-macosx-10.7-x86_64.egg
  • Upload date:
  • Size: 85.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for catwoman-1.0.1-py3.7-macosx-10.7-x86_64.egg
Algorithm Hash digest
SHA256 0d111b5f31ddfcc604608fd9bea04f40ca2fb7a2b055777d09d86bd7dd6fb193
MD5 4708334ea88726c5ad7e7027ff719eab
BLAKE2b-256 b7728b9bb68c43619ddc7e8bb3f0d8297bb684a9a25b1f2c72c3400465799dcd

See more details on using hashes here.

File details

Details for the file catwoman-1.0.1-py2.7-macosx-10.6-intel.egg.

File metadata

  • Download URL: catwoman-1.0.1-py2.7-macosx-10.6-intel.egg
  • Upload date:
  • Size: 122.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for catwoman-1.0.1-py2.7-macosx-10.6-intel.egg
Algorithm Hash digest
SHA256 b959bfabda38fc81be6420a26a2044dbce68f337b7cb49b2e0a7932b877a900d
MD5 876921a90fc988443b055593d655e076
BLAKE2b-256 070a5df1d009e98a7b7204664a031d8fc2c2f68d13bb683e72a420ce21b6b7ab

See more details on using hashes here.

File details

Details for the file catwoman-1.0.1-cp37-cp37m-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: catwoman-1.0.1-cp37-cp37m-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 80.2 kB
  • Tags: CPython 3.7m, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for catwoman-1.0.1-cp37-cp37m-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 e4e2f61ae1d753ef9b57419500d4f306c9ef1832cf17baee9edf6a81c017eb35
MD5 36ed4ef90dcd7df6cef4fcf70f03ea9d
BLAKE2b-256 043cca822adbb9703013a0d5198c136adf36e8446c73af471fff723d4ba79ac4

See more details on using hashes here.

File details

Details for the file catwoman-1.0.1-cp27-cp27m-macosx_10_6_intel.whl.

File metadata

  • Download URL: catwoman-1.0.1-cp27-cp27m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 117.4 kB
  • Tags: CPython 2.7m, macOS 10.6+ intel
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for catwoman-1.0.1-cp27-cp27m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 cd95e6b651032c9fb46b2965474bf9ccc103795717301793c952dd2cd38e754e
MD5 a17f6197d2b92918cf46b228edd0324e
BLAKE2b-256 f64190517dc16fcfee87ce10ed3dcd51408b60666316a564a15ea507eaaa5f92

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page