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Author: dham

0_preface.html

@@ -236,7 +236,7 @@ <h2>Changes in the second and third editions<a class="headerlink" href="#changes
 workspaces in <a class="reference internal" href="2_programs_in_files.html#workspaces"><span class="std std-numref">Section 2.2.1</span></a>, and the Flake8 extension in
 <a class="reference internal" href="4_style.html#flake8-extension"><span class="std std-numref">Section 4.2.2</span></a>. Together, these provide correctly integrated code
 linting. It also consistently uses <code class="xref py py-obj docutils literal notranslate"><span class="pre">python</span> <span class="pre">-m</span></code> to invoke tools such as <code class="xref py py-obj docutils literal notranslate"><span class="pre">pip</span></code>,
-<a class="reference external" href="https://docs.pytest.org/en/latest/index.html#module-pytest" title="(in pytest v8.5.0.dev130)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pytest</span></code></a> and <code class="xref py py-obj docutils literal notranslate"><span class="pre">flake8</span></code>. This is less error-prone for students. The description
+<a class="reference external" href="https://docs.pytest.org/en/latest/index.html#module-pytest" title="(in pytest v8.5.0.dev154)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pytest</span></code></a> and <code class="xref py py-obj docutils literal notranslate"><span class="pre">flake8</span></code>. This is less error-prone for students. The description
 of <a class="reference external" href="https://docs.python.org/3/reference/compound_stmts.html#finally" title="(in Python v3.13)"><code class="xref std std-keyword docutils literal notranslate"><span class="pre">finally</span></code></a> in <a class="reference internal" href="6_exceptions.html#else-finally"><span class="std std-numref">Section 6.5.2</span></a> has been also improved.</p>
 </section>
 </section>

1_introduction.html

@@ -117,7 +117,7 @@
 are:</p>
 <blockquote>
 <div><ol class="arabic simple">
-<li><p>Python version 3.9 or later (3.11 or later recommended).</p></li>
+<li><p>Python version 3.10 or later (3.13 or later recommended).</p></li>
 <li><p>Git (the revision control system we’re going to use).</p></li>
 <li><p>A Python-aware text editor or <a class="reference internal" href="#term-integrated-development-environment"><span class="xref std std-term">integrated development
 environment</span></a> (IDE). Visual Studio Code is recommended, and all the
@@ -141,7 +141,7 @@ <h3><span class="section-number">1.1.1. </span>Python versions<a class="headerli
 references in this book are to that version.</p>
 <p>Within Python 3, there is a minor version release approximately every year.
 Once released, this receives security updates for 5 years. At the time of
-writing, Python 3.12 is the newest release version, and Python 3.9 is the
+writing, Python 3.14 is about to be released, and Python 3.10 is the
 oldest version that still receives security fixes. The user-facing differences
 between minor Python versions are usually fairly minimal, so for the purposes
 of this book it doesn’t matter which of the currently supported versions of
@@ -161,20 +161,20 @@ <h3><span class="section-number">1.1.1. </span>Python versions<a class="headerli
 <div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">&gt; py --version</span>
 </pre></div>
 </div>
-<p>On the author’s computer, this prints <code class="xref py py-obj docutils literal notranslate"><span class="pre">Python</span> <span class="pre">3.12.6</span></code>, which is the version of
+<p>On the author’s computer, this prints <code class="xref py py-obj docutils literal notranslate"><span class="pre">Python</span> <span class="pre">3.13.3</span></code>, which is the version of
 Python I expect to be using. This means I can launch Python on Windows using
 just <code class="xref py py-obj docutils literal notranslate"><span class="pre">py</span></code>. If it printed a different version, then I could attempt to force it
 to use the version I want like this:</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">&gt; py -3.12 --version</span>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">&gt; py -3.13 --version</span>
 </pre></div>
 </div>
 <p>If that fails, then there is an issue with your Python documentation and you
 need to go back to the start of this section to work out how to install the
 right version.</p>
 <p>On Mac or Linux, the safest way to ensure that you are running the right
-version of Python is to use the full version number, e.g. <code class="xref py py-obj docutils literal notranslate"><span class="pre">python3.12</span></code>. You can
+version of Python is to use the full version number, e.g. <code class="xref py py-obj docutils literal notranslate"><span class="pre">python3.13</span></code>. You can
 check this with, for example:</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>python3.12<span class="w"> </span>--version
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>python3.13<span class="w"> </span>--version
 </pre></div>
 </div>
 <p>If this fails, then the relevant Python version isn’t (correctly) installed and

2_programs_in_files.html

@@ -716,7 +716,7 @@ <h2><span class="section-number">2.5. </span>Testing frameworks<a class="headerl
 including tests in your code here.</p>
 <p>There are a number of Python packages which support code testing. The concepts
 are largely similar so rather than get bogged down in the details of multiple
-frameworks, we will introduce <a class="reference external" href="https://docs.pytest.org/en/latest/index.html" title="(in pytest v8.5.0.dev130)"><span class="xref std std-doc">Pytest</span></a>, which is one of the
+frameworks, we will introduce <a class="reference external" href="https://docs.pytest.org/en/latest/index.html" title="(in pytest v8.5.0.dev154)"><span class="xref std std-doc">Pytest</span></a>, which is one of the
 most widely used. Pytest is simply a Python package, so you can install it into
 your current environment using:</p>
 <div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp gp-VirtualEnv">(PoP_venv)</span> <span class="gp">$ </span>python<span class="w"> </span>-m<span class="w"> </span>pip<span class="w"> </span>install<span class="w"> </span>pytest

8_debugging.html

@@ -77,12 +77,12 @@ <h2><span class="section-number">8.1. </span>Pandas<a class="headerlink" href="#
 because it’s a very useful tool for applied mathematicians and statisticians
 who need to work with real data, and partly because it’s a convenient somewhat
 larger library on which to practice tools and techniques for debugging.</p>
-<p>At the core of Pandas is the <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.3.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> class, which is
+<p>At the core of Pandas is the <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.3.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> class, which is
 a two-dimensional dataset somewhat analogous to a spreadsheet. Unlike, for
-example, a <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">numpy.ndarray</span></code></a>, a <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.3.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> is not indexed
+example, a <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v2.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">numpy.ndarray</span></code></a>, a <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.3.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> is not indexed
 by a pair of numbers, but is instead organised as a collection of named
-one-dimensional <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.Series.html#pandas.Series" title="(in pandas v2.3.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.Series</span></code></a> of data. One can think of a
-<a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.Series.html#pandas.Series" title="(in pandas v2.3.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.Series</span></code></a> as a column of data with a title. This perhaps best
+one-dimensional <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.Series.html#pandas.Series" title="(in pandas v2.3.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.Series</span></code></a> of data. One can think of a
+<a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.Series.html#pandas.Series" title="(in pandas v2.3.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.Series</span></code></a> as a column of data with a title. This perhaps best
 illustrated with an example.</p>
 <span id="student-data"></span><table class="docutils align-default" id="id6" style="width: 70%">
 <caption><span class="caption-number">Table 8.1 </span><span class="caption-text">Extract from some fictional student records. The full records
@@ -147,8 +147,8 @@ <h2><span class="section-number">8.1. </span>Pandas<a class="headerlink" href="#
 <span class="gh">Out[6]: </span><span class="go">pandas.core.series.Series</span>
 </pre></div>
 </div>
-<p>Observe that the <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.3.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> acts as a dictionary of
-one-dimensional data <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.Series.html#pandas.Series" title="(in pandas v2.3.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Series</span></code></a>. A <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.Series.html#pandas.Series" title="(in pandas v2.3.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.Series</span></code></a> can be
+<p>Observe that the <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.3.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> acts as a dictionary of
+one-dimensional data <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.Series.html#pandas.Series" title="(in pandas v2.3.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Series</span></code></a>. A <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.Series.html#pandas.Series" title="(in pandas v2.3.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.Series</span></code></a> can be
 indexed and sliced like any other Python <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#typesseq" title="(in Python v3.13)"><span class="xref std std-ref">sequence type</span></a>. This
 very high level introduction is all we’ll need to use pandas in demonstrations
 in this chapter. Much more documentation is available on the <a class="reference external" href="https://pandas.pydata.org/docs/">Pandas website</a>.</p>

_sources/1_introduction.rst.txt

@@ -65,7 +65,7 @@ tools. At various points you'll also need install several more Python packages,
 but you don't need to install those right now. The core tools you will need
 are:
 
-    1. Python version 3.9 or later (3.11 or later recommended).
+    1. Python version 3.10 or later (3.13 or later recommended).
     2. Git (the revision control system we're going to use).
     3. A Python-aware text editor or :term:`integrated development
        environment` (IDE). Visual Studio Code is recommended, and all the
@@ -114,7 +114,7 @@ references in this book are to that version.
 
 Within Python 3, there is a minor version release approximately every year.
 Once released, this receives security updates for 5 years. At the time of
-writing, Python 3.12 is the newest release version, and Python 3.9 is the
+writing, Python 3.14 is about to be released, and Python 3.10 is the
 oldest version that still receives security fixes. The user-facing differences
 between minor Python versions are usually fairly minimal, so for the purposes
 of this book it doesn't matter which of the currently supported versions of
@@ -140,26 +140,26 @@ default:
 
     > py --version
 
-On the author's computer, this prints `Python 3.12.6`, which is the version of
+On the author's computer, this prints `Python 3.13.3`, which is the version of
 Python I expect to be using. This means I can launch Python on Windows using
 just `py`. If it printed a different version, then I could attempt to force it
 to use the version I want like this:
 
 .. code-block:: console
 
-    > py -3.12 --version
+    > py -3.13 --version
 
 If that fails, then there is an issue with your Python documentation and you
 need to go back to the start of this section to work out how to install the
 right version.
 
 On Mac or Linux, the safest way to ensure that you are running the right
-version of Python is to use the full version number, e.g. `python3.12`. You can
+version of Python is to use the full version number, e.g. `python3.13`. You can
 check this with, for example:
 
 .. code-block:: console
 
-    $ python3.12 --version
+    $ python3.13 --version
 
 If this fails, then the relevant Python version isn't (correctly) installed and
 you will need to use a different version, or install it.