pypet
What is pypet all about?
Install
What to do with pypet?
Quick (and not so Dirty) Example
Main Features
Cookbook
More on Trajectories and Single Runs (and Annotations)
More on Parameters and Results
More about the Environment
How to Structure your Simulations
Examples
01 First Steps
02 Natural Naming, Storage and Loading
03 Merging of Trajectories
04 Multiprocessing
05 Custom Parameter (Strange Attractor Inside!)
06 Parameter Presetting
07 Short Brian Example
Library Reference
Parameters and Results
The Trajectory, Single Runs and Group Nodes
Environment
Annotations
Utils
Exceptions
Global Constants
Storage Services
Brian Parameters and Monitors
pypet
Docs
»
Cookbook
Edit on GitHub
Cookbook
ΒΆ
Here you can find some more explanations on various concepts of
pypet
:
More on Trajectories and Single Runs (and Annotations)
Trajectory
Naming Convention
Addition of Groups and Leaves (aka Results and Parameters)
Natural Naming
Shortcuts
Parameter Exploration
Storing
Loading
Removal of items
Merging and Backup
Single Runs
Iterating over Loaded Data in a Trajectory
Presetting of Parameters
Annotations
More on Parameters and Results
Parameters
Values supported by Parameters
Types of Parameters
Results
Types of Results
More about the Environment
Config Data added by the Environment
Overview Tables
Purging duplicate Comments
Multiprocessing
Git Integration
Running an Experiment
Resuming an Experiment
How to Structure your Simulations
Read the Docs
v: 0.1b.0
Versions
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stable
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0.1b.4
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0.1b.0
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