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+Code and Solutions Refresh
+##########################
+
+:date: 2026-11-03 08:20
+:category: updates
+
+It's been 11 years, since **Doing Math With Python** was published. The world of software
+learning has changed drastically. I hope you are still continuing to learn using books, writing
+programs and the educators among you, i hope you are doing the same! We must persist.
+
+The book has also ended up being part of the `Anthropic copyright settlement <https://echorand.me/posts/dmwp-and-ai-notes/>`__.
+I think it's just a sign of the times and I have become part of the history it appears!
+
+Alright, so, I am going to be doing a bit of a refresh as needed for the various code in the book and solutions
+to ensure that they are all working with currently latest versions of the `Python`
+programming language and the third party packages that's used for the code: `sympy`, `matplotlib`
+and `matplotlib_venn`.
+
+This will take a while, so here's the software versions i will be working with:
+
+1. Python 3.14
+2. sympy 1.14.0
+3. matplotlib 3.11.0
+4. matplotlib_venn 1.1.2
+
+*This post is in progress*
+
+Chapter 2
+----------------------
+
+Programming challenges
+~~~~~~~~~~~~~~~~~~~~~~
+
+2. How does the temperature vary during the day?
+
+One solution I suggested created the two lists with the data manually filled in from
+the google search results.
+
+The second solution, (file name: ``nyc_forecast_owm.py``) I proposed uses the `pyowm`
+package to download the data from open weather map. A reader wrote to me recently that
+it doesn't work any more.
+
+I took a look at the proposed solution and realized that the API itself has changed, which means
+the library `pyowm` had also changed significantly. Not unexpected, since it's been 11 years.
+
+So, this is the new proposed solution to use the real data:
+
+1. No need to use a third party package
+2. Download the CSV file from a new source
+3. Read the CSV file data to create the graph
+
+I suppose my original intention for asking the reader to use a third party package might have been
+an attempt to stretch the enterprising reader. However, I don't agree with that intention any more
+as demonstrating how to use a third party data provider isn't in the scope of the book. So, I am
+taking it out.
+
+I have created a new web application dedicated for this exercise so that you can download the data
+in CSV data format - something you learn in the book in Chapter 3 (next chapter).
+
+**Reading the CSV file requires the reader to refer to Chapter 3**
+
+Here's my proposed updated solution.
+
+First download the data by:
+
+1. Visit: https://doingmathwithpython.ai.studio/ and sign up (you don't provide email)
+2. Next sign in using the username and password
+3. By default New York is selected and default is also selected to 1 day
+4. On the top right you can change the temperature units
+5. Click on ``Download CSV data``
+
+
+.. figure:: {filename}/images/download-forecast-data.png
+   :align: left
+   :alt: Download Forecast Data
+   :scale: 80%
+
+
+A file will be downloaded which will have the data in the following format::
+
+    "Local Date & Time","Temperature"
+    "2026-11-03 19:00","63.1"
+    "2026-11-03 22:00","60.3"
+    "2026-11-04 01:00","58.5"
+    "2026-11-04 04:00","57.6"
+    "2026-11-04 07:00","56.5"
+    "2026-11-04 10:00","63.7"
+    "2026-11-04 13:00","68.7"
+    "2026-11-04 16:00","67.6"
+
+Rename the file to ``weather_New_York_1d_3h.csv`` and place in the same directory as the program.
+
+Here's the plan of what we will need to do:
+
+1. Ignore the first line (CSV header row)
+2. Read each row, creating one list for the time of the day and a second list for the temperature
+3. Create our graph
+
+You can find the updated solution `here <https://github.com/doingmathwithpython/code/blob/master/chapter2/solutions/nyc_forecast_real.py>`__.