Parents (Total: 16)
The searched file hash is included in 16 parent files which include package known and seen by metalookup. A sample is included below:
| Key |
Value |
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| MD5 | BDB645ECF815450DF6EC56779AAC2095 |
| PackageDescription | Distributed Evolutionary Algorithms in Python (docs)
DEAP is a novel evolutionary computation framework for rapid prototyping and
testing of ideas. It seeks to make algorithms explicit and data structures
transparent. It works in perfect harmony with parallelisation mechanism such as
multiprocessing and SCOOP.
.
This package contains the documentation. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | deap-doc |
| PackageSection | doc |
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| PackageDescription | Distributed Evolutionary Algorithms in Python (docs)
DEAP is a novel evolutionary computation framework for rapid prototyping and
testing of ideas. It seeks to make algorithms explicit and data structures
transparent. It works in perfect harmony with parallelisation mechanism such as
multiprocessing and SCOOP.
.
This package contains the documentation. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | deap-doc |
| PackageSection | doc |
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| PackageDescription | Distributed Evolutionary Algorithms in Python (docs)
DEAP is a novel evolutionary computation framework for rapid prototyping and
testing of ideas. It seeks to make algorithms explicit and data structures
transparent. It works in perfect harmony with parallelisation mechanism such as
multiprocessing and SCOOP.
.
This package contains the documentation. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | deap-doc |
| PackageSection | doc |
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| PackageDescription | Distributed Evolutionary Algorithms in Python (docs)
DEAP is a novel evolutionary computation framework for rapid prototyping and
testing of ideas. It seeks to make algorithms explicit and data structures
transparent. It works in perfect harmony with parallelisation mechanism such as
multiprocessing and SCOOP.
.
This package contains the documentation. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | deap-doc |
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| PackageDescription | Distributed Evolutionary Algorithms in Python (docs)
DEAP is a novel evolutionary computation framework for rapid prototyping and
testing of ideas. It seeks to make algorithms explicit and data structures
transparent. It works in perfect harmony with parallelisation mechanism such as
multiprocessing and SCOOP.
.
This package contains the documentation. |
| PackageMaintainer | Daniel Stender <debian@danielstender.com> |
| PackageName | deap-doc |
| PackageSection | doc |
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| PackageDescription | Distributed Evolutionary Algorithms in Python (docs)
DEAP is a novel evolutionary computation framework for rapid prototyping and
testing of ideas. It seeks to make algorithms explicit and data structures
transparent. It works in perfect harmony with parallelisation mechanism such as
multiprocessing and SCOOP.
.
This package contains the documentation. |
| PackageMaintainer | Miriam Ruiz <miriam@debian.org> |
| PackageName | deap-doc |
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| PackageDescription | Distributed Evolutionary Algorithms in Python (docs)
DEAP is a novel evolutionary computation framework for rapid prototyping and
testing of ideas. It seeks to make algorithms explicit and data structures
transparent. It works in perfect harmony with parallelisation mechanism such as
multiprocessing and SCOOP.
.
This package contains the documentation. |
| PackageMaintainer | Miriam Ruiz <miriam@debian.org> |
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| PackageDescription | Distributed Evolutionary Algorithms in Python (docs)
DEAP is a novel evolutionary computation framework for rapid prototyping and
testing of ideas. It seeks to make algorithms explicit and data structures
transparent. It works in perfect harmony with parallelisation mechanism such as
multiprocessing and SCOOP.
.
This package contains the documentation. |
| PackageMaintainer | Miriam Ruiz <miriam@debian.org> |
| PackageName | deap-doc |
| PackageSection | doc |
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| PackageDescription | Distributed Evolutionary Algorithms in Python (docs)
DEAP is a novel evolutionary computation framework for rapid prototyping and
testing of ideas. It seeks to make algorithms explicit and data structures
transparent. It works in perfect harmony with parallelisation mechanism such as
multiprocessing and SCOOP.
.
This package contains the documentation. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | deap-doc |
| PackageSection | doc |
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| PackageDescription | Distributed Evolutionary Algorithms in Python (docs)
DEAP is a novel evolutionary computation framework for rapid prototyping and
testing of ideas. It seeks to make algorithms explicit and data structures
transparent. It works in perfect harmony with parallelisation mechanism such as
multiprocessing and SCOOP.
.
This package contains the documentation. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | deap-doc |
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