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The last bullet point on pg 116 says, "dtict=dict is used to set the step…". I believe it should read, "dtick=dtick is used to set the step…"

Code Listing 2-1 on page 24 misses the assignment of the app variable. Instead, the pandas import is repeated.

So in line 5 instead of:

import pandas as pd

It should be:

app = Dash(__name__)

In Chapter-6/app.py line 456, the first tab is defined as:

dbc.Tab(learn_card, tab_id="tab1", label="Learn")

but the other tabs all use tab-N (hyphenated). Changing this tab's ID to tab-1 does not affect functionality.

I received this error when attempting to run the twitter_app.py script:

C:\Users\gmrwv\PycharmProjects\my-first-app\venv\Scripts\python.exe C:\gmrPy\twitter_app.py
Traceback (most recent call last):
File "C:\gmrPy\twitter_app.py", line 10, in
df["date_time"] = pd.to_datetime(df["date_time"])
File "C:\Users\gmrwv\PycharmProjects\my-first-app\venv\lib\site-packages\pandas\core\tools\datetimes.py", line 1050, in to_datetime
values = convert_listlike(arg._values, format)
File "C:\Users\gmrwv\PycharmProjects\my-first-app\venv\lib\site-packages\pandas\core\tools\datetimes.py", line 453, in _convert_listlike_datetimes
return _array_strptime_with_fallback(arg, name, utc, format, exact, errors)
File "C:\Users\gmrwv\PycharmProjects\my-first-app\venv\lib\site-packages\pandas\core\tools\datetimes.py", line 484, in _array_strptime_with_fallback
result, timezones = array_strptime(arg, fmt, exact=exact, errors=errors, utc=utc)
File "pandas_libs\tslibs\strptime.pyx", line 530, in pandas._libs.tslibs.strptime.array_strptime
File "pandas_libs\tslibs\strptime.pyx", line 351, in pandas._libs.tslibs.strptime.array_strptime
ValueError: time data "27/12/2016 04:04" doesn't match format "%m/%d/%Y %H:%M", at position 9. You might want to try:
- passing format if your strings have a consistent format;
- passing format='ISO8601' if your strings are all ISO8601 but not necessarily in exactly the same format;
- passing format='mixed', and the format will be inferred for each element individually. You might want to use dayfirst alongside this.

Process finished with exit code 1

Line 20-24 of Chapter-6/app.py is currently:

df = (
    df.append({"Year": MIN_YR - 1}, ignore_index=True)
    .sort_values("Year", ignore_index=True)
    .fillna(0)
)

but df.append is not available in Pandas 2.2.2. This code works with that version of Pandas:

df = (
    pd.concat([df, pd.DataFrame([{"Year": MIN_YR - 1}])], ignore_index=True)
    .sort_values("Year", ignore_index=True)
    .fillna(0)
)