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Author: dham

0_preface.html

@@ -167,7 +167,7 @@ <h3>The exercises<a class="headerlink" href="#the-exercises" title="Permalink to
 feedback and enable you to know how you are doing. Links to the skeleton code
 for each chapter are provided at:</p>
 <blockquote>
-<div><p><a class="reference external" href="https://object-oriented-programming.github.io/edition1/exercises.html">https://object-oriented-programming.github.io/edition1/exercises.html</a></p>
+<div><p><a class="reference external" href="https://object-oriented-python.github.io/edition1/exercises.html">https://object-oriented-python.github.io/edition1/exercises.html</a></p>
 </div></blockquote>
 </section>
 </section>
@@ -210,12 +210,14 @@ <h2>Acknowledgements<a class="headerlink" href="#acknowledgements" title="Permal
 completely online during the COVID pandemic. I’d like to thank teaching fellow
 Dr Matthew Woolway who worked tirelessly with me on the module and who put
 together many of the tests on the exercises, and the graduate teaching
-assistants Miguel Boland, Sophia Vorderwuelbecke and Connor Ward whose
+assistants Miguel Boland, Sophia Vorderwuelbecke, and Connor Ward whose
 professionalism in delivering the course in very complex circumstances was
 outstanding. Pulling out all the stops to deliver the written and video
 materials for online learning meant a lot of evenings and weekends. I am
 exceptionally grateful to my wife Gebina Ham for disproportionately picking up
-our childcare responsibilities in that period in order to make this possible.</p>
+our childcare responsibilities in that period in order to make this possible.
+I’d also like to thank Dr Aaron Pereira for his eagle-eyed corrections to the
+text.</p>
 <p>This is a textbook about programming in Python, so it would be remiss of me not
 to also thank the developers of the Python language, its CPython reference
 implementation, and all the third party packages which on which this book

10_further_object-oriented_features.html

@@ -550,7 +550,7 @@ <h2><span class="section-number">10.3. </span>Glossary<a class="headerlink" href
 </section>
 <section id="exercises">
 <h2><span class="section-number">10.4. </span>Exercises<a class="headerlink" href="#exercises" title="Permalink to this headline">¶</a></h2>
-<p>Using the information on the <a class="reference external" href="https://object-oriented-programming.github.io/edition1/exercises.html">book website</a>
+<p>Using the information on the <a class="reference external" href="https://object-oriented-python.github.io/edition1/exercises.html">book website</a>
 obtain the skeleton code for these exercises.</p>
 <div class="proof proof-type-exercise" id="id8">
 
@@ -593,7 +593,7 @@ <h2><span class="section-number">10.4. </span>Exercises<a class="headerlink" hre
 you really want to know how some part of the language works.</p>
 </dd>
 <dt class="label" id="exercise-page"><span class="brackets"><a class="fn-backref" href="#id4">2</a></span></dt>
-<dd><p><a class="reference external" href="https://object-oriented-programming.github.io/edition1/exercises.html">https://object-oriented-programming.github.io/edition1/exercises.html</a></p>
+<dd><p><a class="reference external" href="https://object-oriented-python.github.io/edition1/exercises.html">https://object-oriented-python.github.io/edition1/exercises.html</a></p>
 </dd>
 </dl>
 </section>

1_introduction.html

@@ -315,8 +315,8 @@ <h2><span class="section-number">1.3. </span>Installing Python packages<a class=
 <p><a class="reference external" href="https://pypi.org">PyPI</a> is the Python Package Index. It is the
 official download location for publicly released Python packages which
 aren’t themselves a part of the built-in <a class="reference external" href="https://docs.python.org/3/library/index.html" title="(in Python v3.10)"><span class="xref std std-doc">Python Standard Library</span></a>. Many important mathematical packages
-including <a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.21)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy</span></code></a> and <a class="reference external" href="https://www.sympy.org">sympy</a> are
-distributed from PyPI. Suppose your venv doesn’t have <a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.21)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy</span></code></a>
+including <a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.22)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy</span></code></a> and <a class="reference external" href="https://www.sympy.org">sympy</a> are
+distributed from PyPI. Suppose your venv doesn’t have <a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.22)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy</span></code></a>
 installed and you need it. You would install it with the following
 terminal command:</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 numpy

2_programs_in_files.html

@@ -356,14 +356,14 @@ <h3><span class="section-number">2.3.2. </span>Other forms of import<a class="he
 don’t really want to write <a class="reference external" href="https://docs.python.org/3/library/math.html#math.sin" title="(in Python v3.10)"><code class="xref py py-func docutils literal notranslate"><span class="pre">math.sin()</span></code></a> in every trig formula you
 ever write. One alternative is to rename the module on import. This is
 achieved using the keyword <a class="reference external" href="https://docs.python.org/3/reference/simple_stmts.html#import" title="(in Python v3.10)"><code class="xref std std-keyword docutils literal notranslate"><span class="pre">as</span></code></a> in an import statement. For example,
-it is usual to import the numerical Python module <a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.21)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy</span></code></a> in the
+it is usual to import the numerical Python module <a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.22)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy</span></code></a> in the
 following way:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 </pre></div>
 </div>
-<p>This creates the local name <a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.21)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">np</span></code></a> instead of <a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.21)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy</span></code></a>,
+<p>This creates the local name <a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.22)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">np</span></code></a> instead of <a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.22)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy</span></code></a>,
 so that the function for creating an evenly spaced sequence of values
-between to end points is now accessible as <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.linspace.html#numpy.linspace" title="(in NumPy v1.21)"><code class="xref py py-func docutils literal notranslate"><span class="pre">np.linspace</span></code></a>.</p>
+between to end points is now accessible as <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.linspace.html#numpy.linspace" title="(in NumPy v1.22)"><code class="xref py py-func docutils literal notranslate"><span class="pre">np.linspace</span></code></a>.</p>
 <p>A second option is to import particular names from a module directly
 into the current namespace. For example, if we planned to use the
 functions <a class="reference external" href="https://docs.python.org/3/library/math.html#math.sin" title="(in Python v3.10)"><code class="xref py py-func docutils literal notranslate"><span class="pre">math.sin()</span></code></a> and <a class="reference external" href="https://docs.python.org/3/library/math.html#math.cos" title="(in Python v3.10)"><code class="xref py py-func docutils literal notranslate"><span class="pre">math.cos()</span></code></a> a lot in our script, we
@@ -610,10 +610,10 @@ <h3><span class="section-number">2.4.5. </span>Package dependencies<a class="hea
 takes a list of Pip package names. Pip will install any of these packages that
 are not already available before installing the package itself.
 <a class="reference internal" href="#dependency-setup-py"><span class="std std-numref">Listing 2.3</span></a> illustrates this by adding a dependency on
-<a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.21)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy</span></code></a>.</p>
+<a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.22)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy</span></code></a>.</p>
 <div class="literal-block-wrapper docutils container" id="id10">
 <span id="dependency-setup-py"></span><div class="code-block-caption"><span class="caption-number">Listing 2.3 </span><span class="caption-text">An extension to the <code class="file docutils literal notranslate"><span class="pre">setup.py</span></code> from
-<a class="reference internal" href="#minimal-setup-py"><span class="std std-numref">Listing 2.2</span></a> to require that <a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.21)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy</span></code></a> is installed.</span><a class="headerlink" href="#id10" title="Permalink to this code">¶</a></div>
+<a class="reference internal" href="#minimal-setup-py"><span class="std std-numref">Listing 2.2</span></a> to require that <a class="reference external" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="(in NumPy v1.22)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy</span></code></a> is installed.</span><a class="headerlink" href="#id10" title="Permalink to this code">¶</a></div>
 <div class="highlight-python3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">setuptools</span> <span class="kn">import</span> <span class="n">setup</span><span class="p">,</span> <span class="n">find_packages</span>
 <span class="n">setup</span><span class="p">(</span>
     <span class="n">name</span><span class="o">=</span><span class="s2">&quot;my_package&quot;</span><span class="p">,</span>
@@ -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.dev46+g47df71d23)"><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.dev95+g71baf24b6)"><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
@@ -864,7 +864,7 @@ <h2><span class="section-number">2.7. </span>Glossary<a class="headerlink" href=
         <span class="proof-type">Exercise 2.2</span>
 
     </div><div class="proof-content">
-<p>Using the information on the <a class="reference external" href="https://object-oriented-programming.github.io/edition1/exercises.html">book website</a>
+<p>Using the information on the <a class="reference external" href="https://object-oriented-python.github.io/edition1/exercises.html">book website</a>
 create your first exercise repository for this module and clone it
 into your working folder. The exercise repository just contains a
 <code class="file docutils literal notranslate"><span class="pre">README</span></code> and some tests. Your job in the following exercises will be
@@ -940,7 +940,7 @@ <h2><span class="section-number">2.7. </span>Glossary<a class="headerlink" href=
 <dd><p><a class="reference external" href="https://github.com/object-oriented-python/object-oriented-programming">https://github.com/object-oriented-python/object-oriented-programming</a></p>
 </dd>
 <dt class="label" id="exercise-page"><span class="brackets"><a class="fn-backref" href="#id7">5</a></span></dt>
-<dd><p><a class="reference external" href="https://object-oriented-programming.github.io/edition1/exercises.html">https://object-oriented-programming.github.io/edition1/exercises.html</a></p>
+<dd><p><a class="reference external" href="https://object-oriented-python.github.io/edition1/exercises.html">https://object-oriented-python.github.io/edition1/exercises.html</a></p>
 </dd>
 </dl>
 </section>

3_objects.html

@@ -813,7 +813,7 @@ <h2><span class="section-number">3.5. </span>Glossary<a class="headerlink" href=
 </section>
 <section id="exercises">
 <h2><span class="section-number">3.6. </span>Exercises<a class="headerlink" href="#exercises" title="Permalink to this headline">¶</a></h2>
-<p>Using the information on the <a class="reference external" href="https://object-oriented-programming.github.io/edition1/exercises.html">book website</a>
+<p>Using the information on the <a class="reference external" href="https://object-oriented-python.github.io/edition1/exercises.html">book website</a>
 obtain the skeleton code for these exercises. The skeleton code contains a
 <code class="xref py py-mod docutils literal notranslate"><span class="pre">polynomial</span></code> package with a version of the <code class="xref py py-class docutils literal notranslate"><span class="pre">Polynomial</span></code> class.</p>
 <div class="proof proof-type-exercise" id="id5">
@@ -891,7 +891,7 @@ <h2><span class="section-number">3.6. </span>Exercises<a class="headerlink" href
 </div></div><p class="rubric">Footnotes</p>
 <dl class="footnote brackets">
 <dt class="label" id="exercise-page"><span class="brackets"><a class="fn-backref" href="#id2">1</a></span></dt>
-<dd><p><a class="reference external" href="https://object-oriented-programming.github.io/edition1/exercises.html">https://object-oriented-programming.github.io/edition1/exercises.html</a></p>
+<dd><p><a class="reference external" href="https://object-oriented-python.github.io/edition1/exercises.html">https://object-oriented-python.github.io/edition1/exercises.html</a></p>
 </dd>
 </dl>
 </section>