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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Page 45 example
Using a uniform Prior
Step1:  This does not match the example very well. The example is centered around 0.9
Using a conjugate prior (gamma)
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Python Code:
mu = pymc.Uniform('mu', 0, 1e5)
deaths = pymc.Poisson('deaths', mu = 2.0*mu, observed=True, value=[3])
model = pymc.MCMC((mu, deaths))
model.sample(10000, burn=100, burn_till_tuned=True)
print(model.summary())
pymc.Matplot.plot(model)
Explanation: Page 45 example
Using a uniform Prior
End of explanation
mu = pymc.Gamma('mu', 3.0, 5.0)
deaths = pymc.Poisson('deaths', mu = 2.0*mu, observed=True, value=[3])
model = pymc.MCMC((mu, deaths))
model.sample(10000, burn=100, burn_till_tuned=True)
print(model.summary())
pymc.Matplot.plot(model)
Explanation: This does not match the example very well. The example is centered around 0.9
Using a conjugate prior (gamma)
End of explanation
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