Welcome to PyKEP’s (V1.1.3) documentation!

PyKEP is a scientific library providing basic tools for astrodynamics research. Algoritmic efficiency is a main focus of the library, which is written in C++ and exposed to Python using the boost::python library. At the library core is the implementation of an efficient solver for the multiple revolutions Lambert’s problem, objects representing the Sims-Flanagan low-thrust model, efficient keplerian propagators, Taylor-integrators and more ....

PyKEP has been compiled and installed succesfully on the following platforms and with Python 2.7:

• Windows (XP) [binaries available]
• Linux (Gentoo) [Follow the guide below and compile the code]
• Apple OSX (Leopard) [Follow the guide below and compile the code]

PyKEP has been used by the European Space Agency’s Advanced Concepts Team during the Global Trajectory Optimization Competitions (GTOC), in particular GTOC4 and GTOC5.

Contents:

• Preparing your system to compile PyKEP
  • Compiling under a Unix System
  • Compiling under Windows
• Download PyKEP code
• Install PyKEP
  • Using Windows Binaries
  • Compiling and Installing under Unix
  • Compiling and Installing under Windows
• PyKEP Documentation
  • The core module
  • The sims_flanagan module
  • The traj module
  • Constants defined within PyKEP namespace
  • Detailed Documentation
• Examples
  • Low-thrust global optimization (Nuclear electric propulsion)
  • Multi-revs Lambert Problem
  • LT-MGA global optimization (Nuclear electric propulsion)
  • Automated Mesh Adaptation in Interplanetary Trajectory Optimization
  • MGA 1DSM global optimization
• Credits