原始碼套件： lmfit-py (1.0.2-1)
lmfit-py 的相關超連結
Trisquel 的資源：
維護者：
Original Maintainers:
- Debian Science Maintainers (郵件存檔)
- Picca Frédéric-Emmanuel
- Michael Hudson-Doyle
外部的資源：
- 主頁 [lmfit.github.io]
本原始碼套件構建了以下這些二進制套件：
- python-lmfit-doc
- Least-Squares Minimization with Constraints (Documentation)
- python3-lmfit
- Least-Squares Minimization with Constraints (Python 3)
其他與 lmfit-py 有關的套件
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- adep: debhelper-compat (= 13)
- 套件暫時不可用
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- adep: dh-python
- Debian helper tools for packaging Python libraries and applications
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- adep: dh-sequence-numpy3
- 本虛擬套件由這些套件提供： python3-numpy
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- adep: dh-sequence-python3
- 本虛擬套件由這些套件提供： dh-python
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- adep: dh-sequence-sphinxdoc
- 本虛擬套件由這些套件提供： sphinx-common
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- adep: python3-all
- package depending on all supported Python 3 runtime versions
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- adep: python3-asteval (>= 0.9.21)
- minimalistic evaluator of Python 3 expression using ast module
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- adep: python3-ipython
- Enhanced interactive Python shell (Python 3 version)
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- adep: python3-numpy
- Fast array facility to the Python 3 language
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- adep: python3-pandas
- data structures for "relational" or "labeled" data
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- adep: python3-pytest
- Simple, powerful testing in Python3
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- adep: python3-scipy
- scientific tools for Python 3
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- adep: python3-setuptools
- Python3 Distutils Enhancements
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- adep: python3-sphinx
- documentation generator for Python projects
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- adep: python3-sphinx-gallery
- extension that builds an HTML gallery of examples from Python scripts (Python 3)
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- adep: python3-sympy
- Computer Algebra System (CAS) in Python (Python 3)
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- adep: python3-uncertainties (>= 3.0.2.github~)
- Python3 module for calculations with uncertainties
Download lmfit-py
| 文件 | 大小(單位: kB) | MD5 檢查碼 |
|---|---|---|
| lmfit-py_1.0.2-1.dsc | 2.6 kB | 445389ff93e846ceed8d69d8ea0a1741 |
| lmfit-py_1.0.2.orig.tar.gz | 298.9 kB | cabedb833e62043e9f5f0a8af0887912 |
| lmfit-py_1.0.2-1.debian.tar.xz | 8.2 kB | b1c8f2a452e8d21dcb578d209e981107 |
- Debian 套件原始碼倉庫(VCS: Git)
- https://salsa.debian.org/science-team/lmfit-py.git
- Debian 套件原始碼倉庫(可在線瀏覽)
- https://salsa.debian.org/science-team/lmfit-py