pyenv version
# anaconda2-4.3.1
conda list gurobi
# gurobi                    7.0.2                    py27_0

Jupyter motebooks # 启动 notebook 环境

• examples-python 官方 Python API 代码
• python-1-webinar-materials Webinar Python I
• python-2-webinar-materials Webinar Python II
• python-3-webinar-materials Webinar Python II

三个 python webinar 的代码资料

This 55 minute video, part one of a three-part series, presents an introduction to using Python, Gurobi and Jupyter Notebooks. It covers the basics of model-building, including working with decision variables, constraints, objective function, sums and for-all loops.

• demo1 读文件解模型
• demo2 创建简单模型
• demo3 工厂规划 (车床使用 货物存储 销售等)

This one-hour video, part two of a three-part series, covers more advanced topics including data structures and loops, sum and for-all expressions, working with large data sets and building large-scale, high-performance applications using the Gurobi Python interface.

Code Examples - http://www.gurobi.com/resources/examples/example-models-overview •

Functional(code)examples • Modelingexamples

• netflow.ipynb 网络货物流问题 mcf
• workforce.ipynb 工人排班问题

This one-hour video, part three of a three-part series, covers one capability of MIP that is often overlooked: its ability to find and subsequently improve good quality solutions to exceedingly difficult problems. This webinar, which builds on the ideas presented in the last Python webinar, will focus on techniques for using the Gurobi MIP solver as a heuristic.

使用 Gurobi 作为 heuristic 算法解问题

• Optimization_and_Heuristics.ipynb 视频配套 notebook (禁用了 inline 绘图)
• mining35.py 备份原始 mining.py 代码, 需要在 python35 下运行
• mining.py 修改 mining.py 为 python27 下执行
• tsp2.py 旅行商问题代码