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peak picking; python basics

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python_basics.html
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<!DOCTYPE html>
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<title>python_basics</title>
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<h1 id="Python-Basics">Python Basics<a class="anchor-link" href="#Python-Basics">&#182;</a></h1>
<h1 id="Python-Basics">Python Basics<a class="anchor-link" href="#Python-Basics">&#194;&#182;</a></h1>
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<h2 id="Why-Python?">Why Python?<a class="anchor-link" href="#Why-Python?">&#182;</a></h2>
<h2 id="Why-Python?">Why Python?<a class="anchor-link" href="#Why-Python?">&#194;&#182;</a></h2>
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<h2 id="Tutorial">Tutorial<a class="anchor-link" href="#Tutorial">&#182;</a></h2>
<h2 id="Tutorial">Tutorial<a class="anchor-link" href="#Tutorial">&#194;&#182;</a></h2>
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<p>If you are new to Python, please follow <a href="https://docs.python.org/2/tutorial/index.html">The Python Tutorial</a>.</p>
<p>For the purposes of this workshop, be sure you understand the following sections:</p>
<ul>
<li>Section 3: An Informal Introduction to Python</li>
<li>Section 4: More Control Flow Tools</li>
<li>Section 5: Data Structures</li>
<li>Section 3: An Informal Introduction to Python<ul>
<li>numbers: <code>int</code>, <code>float</code></li>
<li>strings</li>
<li>lists</li>
</ul>
</li>
<li>Section 4: More Control Flow Tools<ul>
<li><code>if</code> statements</li>
<li><code>for</code> statements</li>
<li><code>range</code></li>
<li>functions</li>
</ul>
</li>
<li>Section 5: Data Structures<ul>
<li>list comprehensions</li>
<li>tuples</li>
<li>dictionaries</li>
<li>looping techniques</li>
</ul>
</li>
</ul>
<p>While the other sections are useful, you can learn them along the way.</p>
</div>
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<h2 id="Package-Installation">Package Installation<a class="anchor-link" href="#Package-Installation">&#182;</a></h2>
<h2 id="Package-Installation">Package Installation<a class="anchor-link" href="#Package-Installation">&#194;&#182;</a></h2>
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<p>First, <a href="https://pip.pypa.io/en/stable/installing/">make sure you have pip installed</a>. pip is the recommended tool for installing Python packages.</p>
<p>To follow the material on this site, you will need to install additional Python packages.</p>
<p>Follow the instructions on the <a href="https://github.com/stevetjoa/stanford-mir#how-to-use-this-repo">GitHub repository <code>README</code></a>.</p>
<ol>
<li><p>If you’re totally new, the simplest solution is to download and install <a href="https://www.continuum.io/downloads">Anaconda for Python 2 (2.7)</a>, not Python 3.</p>
</li>
<li><p>Install <a href="https://librosa.github.io/librosa/install.html">librosa</a> and <a href="https://librosa.github.io/librosa/install.html#ffmpeg">ffmpeg</a>.</p>
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<p>To use the notebooks, you will need to install a few Python packages:</p>
<pre><code>$ pip install --upgrade numpy scipy matplotlib ipython pandas sklearn librosa seaborn mir_eval ipywidgets</code></pre>
<p>You will also probably want to <a href="https://pip.pypa.io/en/stable/installing/">install pip</a>. pip is the recommended tool for installing most other Python packages.</p>
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<h2 id="More-Learning-Resources">More Learning Resources<a class="anchor-link" href="#More-Learning-Resources">&#182;</a></h2>
<h2 id="More-Learning-Resources">More Learning Resources<a class="anchor-link" href="#More-Learning-Resources">&#194;&#182;</a></h2>
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......@@ -11880,4 +11915,8 @@ div#notebook {
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python_basics.ipynb
View file @ 563c25c1
......@@ -48,8 +48,19 @@
"For the purposes of this workshop, be sure you understand the following sections:\n",
"\n",
"- Section 3: An Informal Introduction to Python\n",
" - numbers: `int`, `float`\n",
" - strings\n",
" - lists\n",
"- Section 4: More Control Flow Tools\n",
" - `if` statements\n",
" - `for` statements\n",
" - `range`\n",
" - functions\n",
"- Section 5: Data Structures\n",
" - list comprehensions\n",
" - tuples\n",
" - dictionaries\n",
" - looping techniques\n",
"\n",
"While the other sections are useful, you can learn them along the way."
]
......@@ -65,16 +76,20 @@
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"First, [make sure you have pip installed](https://pip.pypa.io/en/stable/installing/). pip is the recommended tool for installing Python packages."
"To follow the material on this site, you will need to install additional Python packages.\n",
"\n",
"Follow the instructions on the [GitHub repository `README`](https://github.com/stevetjoa/stanford-mir#how-to-use-this-repo).\n",
"\n",
"1. If you’re totally new, the simplest solution is to download and install [Anaconda for Python 2 (2.7)](https://www.continuum.io/downloads), not Python 3. \n",
" \n",
"2. Install [librosa](https://librosa.github.io/librosa/install.html) and [ffmpeg](https://librosa.github.io/librosa/install.html#ffmpeg)."
]
},
{
"cell_type": "markdown",
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"To use the notebooks, you will need to install a few Python packages:\n",
"\n",
" $ pip install --upgrade numpy scipy matplotlib ipython pandas sklearn librosa seaborn mir_eval ipywidgets"
"You will also probably want to [install pip](https://pip.pypa.io/en/stable/installing/). pip is the recommended tool for installing most other Python packages."
]
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