Classy non-linear optimisation

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Jammy2211 from gravatar.com Jammy2211 Avatar for rhayes777 from gravatar.com rhayes777

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

# AutoFit

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Jammy2211 from gravatar.com Jammy2211 Avatar for rhayes777 from gravatar.com rhayes777

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

2024.11.13.2

2024.11.6.1

2024.9.21.2

2024.9.21.1

2024.7.16.1

2024.5.16.0

2024.1.27.4

2023.10.23.3

2023.10.23.2

2023.9.18.4

2023.7.5.2

2023.6.18.3

2023.6.12.5

2023.6.12.4

2023.3.27.1

2023.3.21.5

2023.3.21.4

2023.3.21.3

2023.1.15.1

2022.11.26.11

2022.7.11.1

2022.7.10.1

2022.6.29.2

2022.6.29.1

2022.5.2.1

2022.3.30.1

2022.3.18.2

2022.2.14.1

2022.2.13.1

2021.10.14.1

2021.9.12.1

2021.8.12.1

2021.6.4.1

2021.6.2.1

0.77.1

0.77.0

0.76.0

0.75.0

0.74.0

0.73.1

0.73.0

0.72.2

0.72.1

0.72.0

0.71.5

0.71.4

0.71.3

0.71.2

0.71.1

0.71.0

0.70.4

0.70.3

0.70.2

0.70.1

0.70.0

0.69.6

0.69.5

0.69.4

0.69.3

0.69.2

0.69.1

0.69.0

0.68.0

0.67.11

0.67.10

0.67.9

0.67.8

0.67.7

0.67.6

0.67.5

0.67.4

0.67.3

0.67.2

0.67.1

0.67.0

0.65.0

0.64.3

0.64.2

0.64.1

0.64.0

0.62.2

0.62.1

0.62.0

0.61.5

0.61.4

0.61.3

0.61.2

0.60.2

0.60.1

0.59.7

0.59.6

0.59.5

0.59.4

0.59.3

0.59.2

0.59.1

0.59.0

0.58.0

0.57.2

0.57.1

0.57.0

0.56.0

0.55.1

0.55.0

0.54.0

0.53.0

0.52.2

0.52.1

0.52.0

0.51.1

0.51.0

0.50.5

0.50.4

0.50.3

0.50.2

0.50.1

0.50.0

0.49.1

0.49.0

0.48.1

0.48.0

0.47.0

0.46.2

0.46.1

0.46.0

0.45.4

0.45.3

0.45.2

0.45.1

0.45.0

0.44.2

0.44.1

0.44.0

0.33.9

0.33.8

0.33.7

0.33.6

0.33.5

0.33.4

0.33.3

0.33.2

0.33.1

0.33.0

0.32.1

0.32.0

0.31.4

0.31.3

0.31.2

0.31.1

0.31.0

0.30.5

0.30.4

0.30.3

0.30.2

0.30.1

0.30.0

0.29.5

0.29.4

0.29.3

0.29.2

0.29.1

0.29.0

0.28.3

0.28.2

0.28.1

0.28.0

0.27.4

0.27.3

0.27.2

0.27.1

0.27.0

0.26.6

0.26.5

0.26.4

0.26.3

0.26.2

0.26.1

0.26.0

0.25.5

0.25.4

0.25.3

0.25.2

0.25.1

0.25.0

0.24.4

0.24.3

0.24.2

0.24.1

0.24.0

0.23.13

0.23.12

0.23.11

0.23.10

0.23.9

0.23.8

0.23.7

0.23.6

0.23.5

0.23.4

0.23.3

0.23.2

0.23.1

0.23.0

0.22.6

0.22.5

0.22.4

0.22.3

0.22.2

0.22.1

0.22.0

0.21.0

0.20.1

0.20.0

0.19.2

0.19.1

0.19.0

0.18.9

0.18.8

0.18.7

0.18.6

0.18.5

0.18.4

0.18.3

0.18.2

0.18.1

0.18.0

0.17.5

0.17.4

0.17.3

0.17.2

0.17.1

0.17.0

0.16.1

0.16.0

0.15.3

0.15.2

0.15.1

0.15.0

0.14.0

0.13.0

0.12.0

0.11.2

0.11.1

0.11.0

0.10.1

0.10.0

0.9.1

0.9.0

0.8.10

0.8.9

0.8.8

0.8.7

0.8.6

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.7.11

0.7.10

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.2

0.6.1

0.6.0

0.5.8

0.5.7

0.5.6

0.5.4.0

0.5.3

0.5.2

0.5.1

0.5.0

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.0

0.3.2

0.3.1

0.3.0

0.2.1

This version

0.2.0

0.1.0

Download files

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

Source Distribution

autofit-0.2.0.tar.gz (30.7 kB view details)

Uploaded Source

Built Distribution

autofit-0.2.0-py3-none-any.whl (34.5 kB view details)

Uploaded Python 3

File details

Details for the file autofit-0.2.0.tar.gz.

File metadata

  • Download URL: autofit-0.2.0.tar.gz
  • Upload date:
  • Size: 30.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.7

File hashes

Hashes for autofit-0.2.0.tar.gz
Algorithm Hash digest
SHA256 6f704e960adc6172a0ad6343c8d1bca5e4753a610b48e6ac0a62b982f07d6b0d
MD5 5df0d0756324ab5af96bb917507fc2b8
BLAKE2b-256 b6d4d848b72966f629d979cb119e5bcdac41427fcded07cc11494c1c10adb5bb

See more details on using hashes here.

File details

Details for the file autofit-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: autofit-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 34.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.7

File hashes

Hashes for autofit-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 36d0bb045616913c9e16d7b9a9d2f5f359823326d940aee1afb8f66e3179d1ca
MD5 c621bd7489ac3b96589b97eb0411adfb
BLAKE2b-256 453376c8b5969c37ae67a746e85ef0d90dcdf5917599462b2ab41ccad68264fb

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