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1_introduction.html

@@ -304,7 +304,7 @@ <h3><span class="section-number">1.2.2. </span>Creating the venv<a class="header
 <h2><span class="section-number">1.3. </span>Installing Python packages<a class="headerlink" href="#installing-python-packages" title="Permalink to this headline">¶</a></h2>
 <p>Suppose we’ve created and activated a venv, and now there’s a Python package
 we’d like to have access to. Installation of Python packages is handled by the
-Python package <a class="reference external" href="https://pip.pypa.io/en/stable/" title="(in pip v21.3)"><span class="xref std std-doc">Pip</span></a>, which you will usually find
+Python package <a class="reference external" href="https://pip.pypa.io/en/stable/" title="(in pip v22.0)"><span class="xref std std-doc">Pip</span></a>, which you will usually find
 pre-installed in your Python installation. Pip has many usage options, which
 enable a large number of different installation configurations. However, for
 most users most of the time, a few simple pip commands suffice. As with

2_programs_in_files.html

@@ -646,7 +646,7 @@ <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 v7.1.0.dev95+g71baf24b6)"><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 v7.1.0.dev166+g90b1c93f7)"><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 -m pip install pytest
@@ -883,7 +883,7 @@ <h2><span class="section-number">2.7. </span>Glossary<a class="headerlink" href=
 whether the number is zero modulo any of the integers less than its square
 root will be fine. Test your code by running the following in the exercise
 repository:</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp gp-VirtualEnv">(PoP_venv)</span> <span class="gp">$ </span>pytest tests/test_exercise_2_4.py
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp gp-VirtualEnv">(PoP_venv)</span> <span class="gp">$ </span>pytest tests/test_exercise_2_3.py
 </pre></div>
 </div>
 <p>Then push your code to GitHub and check that the tests pass there too.</p>

5_abstract_data_types.html

@@ -651,7 +651,7 @@ <h2><span class="section-number">5.5. </span>Linked lists<a class="headerlink" h
 <div class="admonition hint">
 <p class="admonition-title">Hint</p>
 <p>Raising exceptions is the subject of <a class="reference internal" href="6_exceptions.html#raising-exceptions"><span class="std std-numref">Section 6.4</span></a>,
-to which we will turn presently. Fur current purposes, it is
+to which we will turn presently. For current purposes, it is
 sufficient to know that iteration is halted when <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#iterator.__next__" title="(in Python v3.10)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">__next__()</span></code></a>
 executes this line of code:</p>
 <div class="highlight-python3 notranslate"><div class="highlight"><pre><span></span><span class="k">raise</span> <span class="ne">StopIteration</span>

8_debugging.html

@@ -82,12 +82,12 @@ <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 v1.3.5)"><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 v1.4.0)"><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 v1.22)"><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 v1.3.5)"><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 v1.22)"><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 v1.4.0)"><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 v1.3.5)"><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 v1.3.5)"><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 v1.4.0)"><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 v1.4.0)"><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
@@ -157,8 +157,8 @@ <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 v1.3.5)"><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 v1.3.5)"><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 v1.3.5)"><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 v1.4.0)"><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 v1.4.0)"><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 v1.4.0)"><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 v3.10)"><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/2_programs_in_files.rst.txt

@@ -1015,7 +1015,7 @@ already familiar with Git and GitHub then you will also need to work through
 
     .. code-block:: console
 
-        (PoP_venv) $ pytest tests/test_exercise_2_4.py
+        (PoP_venv) $ pytest tests/test_exercise_2_3.py
 
     Then push your code to GitHub and check that the tests pass there too.
 

_sources/5_abstract_data_types.rst.txt

@@ -643,7 +643,7 @@ documented in the :ref:`official Python documentation <typeiter>`.
 .. hint::
 
    Raising exceptions is the subject of :numref:`raising_exceptions`,
-   to which we will turn presently. Fur current purposes, it is
+   to which we will turn presently. For current purposes, it is
    sufficient to know that iteration is halted when :meth:`~iterator.__next__`
    executes this line of code: