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‎Python/Module2_EssentialsOfPython/Problems/DifferenceFanout.ipynb

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"# Problem: Difference fanout\n",
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"# Difference Fanout\n",
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"\n",
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"Given a list of numbers, for each number generate a list of the differences between it and $n_{fanout}$ (known as the **fanout** value) following numbers in the list. Return a list of all the lists generated for each number. For members in the list that have fewer than $n_{fanout}$ following members, calculate as many differences as possible. For example, suppose we want to compute the difference fanout on the list `[3, 2, 4, 6, 1]` with a fanout value of 3. Then we would compute:\n",
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">Given a list of numbers, for each number generate a list of the differences between it and $n_{fanout}$ (known as the **fanout** value) following numbers in the list. Return a list of all the lists generated for each number. For members in the list that have fewer than $n_{fanout}$ following members, calculate as many differences as possible. For example, suppose we want to compute the difference fanout on the list `[3, 2, 4, 6, 1]` with a fanout value of 3. Then we would compute:\n",
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" - $3 \\rightarrow [2 - 3, 4 - 3, 6 - 3]$\n",
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" - $2 \\rightarrow [4 - 2, 6 - 2, 1 - 2]$\n",
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‎Python/Module2_EssentialsOfPython/Problems/EncodeAsString.ipynb

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"Sometimes it is very important to handle different input object types differently in a function. This problem will exercise your understanding of types, control-flow, dictionaries, and more.\n",
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">We want to encode a sequence of Python objects as a single string. The following describes the encoding method that we want to use for each type of object. Each object's transcription in should be separated by `\" | \"`, and the result should be one large string. \n",
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"`142` $\\rightarrow$ `one-four-two`; `-12` $\\rightarrow$ `neg-one-two`. \n",
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‎Python/Module2_EssentialsOfPython/Variables_and_Assignment.ipynb

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‎Python/Module5_OddsAndEnds/WorkingWithFiles.ipynb

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"How do you save this dictionary so that you can revisit these grades at a later time? Python's standard library includes the [pickle](https://docs.python.org/3/library/pickle.html) module, which provides functions for saving and loading Python objects to disk. Let's \"pickle\" this dictionary, saving it to the file \"grades.pkl\" in our present directory:\n",
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"- [The 'open' function](https://docs.python.org/3/library/functions.html#open)\n",
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"- [Official tutorial: reading and writing files](https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files)\n",
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"- [Globbing files](https://docs.python.org/3/library/pathlib.html#pathlib.Path.glob)\n",
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" - [What can and cannot be pickled?](https://docs.python.org/3/library/pickle.html#what-can-be-pickled-and-unpickled)"
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‎Python/module_2_problems.rst

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Module 2: Problems
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==================
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This section presents the reader with problems to exercise their understanding of the materials that were presented in the Essentials of Python module. They are meant to be worked through after having read through the module in its entirety. Accompanying each problem is a solution and explanation, which include links to the relevant sections of Python Like You Mean It. The solutions are also designed to emphasize good coding practices.
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These problems were written by former students of mine and PLYMI readers. Have you written a piece of code that would make for a good exercise for a Python user? Consider submitting a problem and solution to be included here!
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Module 2: Problems
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Module 3: Problems
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==================
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This section presents the reader with problems to exercise their understanding of the materials that were presented in the Essentials of NumPy module. They are meant to be worked through after having read through the module in its entirety. Accompanying each problem is a solution and explanation, which include links to the relevant sections of Python Like You Mean It. The solutions are also designed to emphasize good coding practices.
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‎docs/Module1_GettingStartedWithPython/Getting_Started_With_IDEs_and_Notebooks.html

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<title>Jupyter Notebooks &mdash; Python Like You Mean It 0.15.0 documentation</title>
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<title>Jupyter Notebooks &mdash; Python Like You Mean It 1.0.0 documentation</title>
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<link rel="index" title="Index"
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href="../genindex.html"/>
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<link rel="search" title="Search" href="../search.html"/>
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<link rel="top" title="Python Like You Mean It 0.15.0 documentation" href="../index.html"/>
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<link rel="top" title="Python Like You Mean It 1.0.0 documentation" href="../index.html"/>
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<link rel="up" title="Module 1: Getting Started with Python" href="../module_1.html"/>
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<link rel="next" title="Setting Up a Development Environment" href="Getting_Started_With_IDEs_and_Notebooks.html"/>
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<link rel="prev" title="An Informal Introduction to Python" href="Informal_Intro_Python.html"/>
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<div class="version">
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0.15.0
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1.0
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</ul>
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</li>
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<li class="toctree-l1"><a class="reference internal" href="../module_2.html">Module 2: The Essentials of Python</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../module_2_problems.html">Module 2: Problems</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../module_3.html">Module 3: The Essentials of NumPy</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../module_3_problems.html">Module 3: Problems</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../module_4.html">Module 4: Object Oriented Programming</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../module_5.html">Module 5: Odds and Ends</a></li>
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</ul>
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URL_ROOT:'../',
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VERSION:'0.15.0',
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VERSION:'1.0.0',
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