In chapter 10, there is import perf but I can't figure out how to install this

pip install perf does not install the adequate package...

I'm having fun reading your book and found a small typo (the code does not acctually appear in your GitHub repo, though).

In fact, the function open_rate_with_factor_change defined on p.123 does not work as expected. One way to fix this is to change the following code:

    num_opened = np.zeros(len(period_rng))
    for prd in range(0, len(period_rng), 2): 
        try:
            n, p = NUM_EMAILS_SENT_WEEKLY, np.random.uniform(0,
                                                             1)
            num_opened[prd: (prd + 2)] = np.random.binomial(n, p,
                                                            2)
            p = max(min(1, p * fac), 0)
        except:
            num_opened[prd] = np.random.binomial(n, p, 1)

into something like:

    num_opened = np.zeros(len(period_rng))
    n, p = NUM_EMAILS_SENT_WEEKLY, np.random.uniform(0,
                                                     1)
    for prd in range(0, len(period_rng), 2): 
        try:
            num_opened[prd: (prd + 2)] = np.random.binomial(n, p,
                                                            2)
            p = max(min(1, p * fac), 0)
        except:
            num_opened[prd] = np.random.binomial(n, p, 1)

The point here is that random sampling of the probability p should occur outside of the for loop, in order for the increasing or decreasing of email open rate acctually takes place.

Hi, I think it is a good idea to post the environment you are using for the code, such as requirements.txt for python. Data science library APIs are constantly changing...

I have

import perf

in ch10 ForecastingElectricity.ipynb etc, but now it is not in PyPI either, and I get the error when I do pip install perf.

Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
ERROR: Could not find a version that satisfies the requirement perf (from versions: none)
ERROR: No matching distribution found for perf

Has this been replaced by another name, or is it no longer in service?

If you don't mind, please let me know the solution or alternative.

I'm using pd.version '1.0.1'

With reference to the file "Ch02/generateAggregateData.py", I'm getting an error for the code below:

line 103, user_rng = rng[rng > join_date]

TypeError: Invalid comparison between dtype=period[W-SUN] and Timestamp