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Commit 3e8fe17

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mmckymmcky
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update sources from tomyst(b50a6e0)
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‎source/rst/about_py.md‎

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@@ -57,7 +57,7 @@ Python has experienced rapid adoption in the last decade and is now one of the m
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### Common Uses
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Python is a general-purpose language used in almost all application domains such as
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{index}`Python <single: Python; common uses>` is a general-purpose language used in almost all application domains such as
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* communications
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* web development
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‎source/rst/getting_started.md‎

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@@ -90,7 +90,7 @@ As a practice run, please execute the following
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For more information on conda, type conda help in a terminal.
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(ipython_notebook)=
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## Jupyter Notebooks
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## {index}`Jupyter Notebooks <single: Jupyter Notebooks>`
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```{index} single: Python; IPython
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```
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1. how should you execute it?
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1. How should you modify or edit it?
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#### Option 1: JupyterLab
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#### Option 1: {index}`JupyterLab <single: JupyterLab>`
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```{index} single: JupyterLab
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```
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‎source/rst/matplotlib.md‎

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</div>
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```
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# Matplotlib
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# {index}`Matplotlib <single: Matplotlib>`
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```{index} single: Python; Matplotlib
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```
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‎source/rst/need_for_speed.md‎

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@@ -257,7 +257,7 @@ In fact, it's generally true that memory traffic is a major culprit when it come
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Let's look at some ways around these problems.
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## Vectorization
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## {index}`Vectorization <single: Vectorization>`
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```{index} single: Python; Vectorization
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```
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‎source/rst/numba.md‎

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This lecture introduces the main ideas.
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(numba_link)=
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## Compiling Functions
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## {index}`Compiling Functions <single: Compiling Functions>`
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```{index} single: Python; Numba
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```
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‎source/rst/numpy.md‎

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```
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# NumPy
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# {index}`NumPy <single: NumPy>`
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```{index} single: Python; NumPy
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```
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‎source/rst/pandas.md‎

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# Pandas
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# {index}`Pandas <single: Pandas>`
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```{index} single: Python; Pandas
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We start with a relatively low-level method and then return to pandas.
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### Accessing Data with requests
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### Accessing Data with {index}`requests <single: requests>`
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```{index} single: Python; requests
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Pandas has [a wide variety](https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html) of top-level methods that we can use to read, excel, json, parquet or plug straight into a database server.
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### Using pandas_datareader to Access Data
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### Using {index}`pandas_datareader <single: pandas_datareader>` to Access Data
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```{index} single: Python; pandas-datareader
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‎source/rst/python_advanced_features.md‎

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Note that the global `a` was not affected by the local `a`.
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(mutable_vs_immutable)=
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### Mutable Versus Immutable Parameters
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### {index}`Mutable <single: Mutable>` Versus {index}`Immutable <single: Immutable>` Parameters
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This is a good time to say a little more about mutable vs immutable objects.
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‎source/rst/python_oop.md‎

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```
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# OOP II: Building Classes
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# {index}`OOP II: Building Classes <single: OOP II: Building Classes>`
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```{index} single: Python; Object-Oriented Programming
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‎source/rst/scipy.md‎

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# SciPy
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# {index}`SciPy <single: SciPy>`
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```{index} single: Python; SciPy
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In this lecture, we aim only to highlight some useful parts of the package.
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## SciPy versus NumPy
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## {index}`SciPy <single: SciPy>` versus {index}`NumPy <single: NumPy>`
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SciPy is a package that contains various tools that are built on top of NumPy, using its array data type and related functionality.
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Let's consider some numerical techniques for finding roots.
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### Bisection
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### {index}`Bisection <single: Bisection>`
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```{index} single: SciPy; Bisection
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bisect(f, 0, 1)
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### The Newton-Raphson Method
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### The {index}`Newton-Raphson Method <single: Newton-Raphson Method>`
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```{index} single: SciPy; Newton-Raphson Method
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If you don't get good results, you can always switch back to the `brentq` root finder, since
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the fixed point of a function $f$ is the root of $g(x) := x - f(x)$.
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## Optimization
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## {index}`Optimization <single: Optimization>`
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```{index} single: SciPy; Optimization
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See the [documentation](http://docs.scipy.org/doc/scipy/reference/optimize.html) for details.
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## Integration
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## {index}`Integration <single: Integration>`
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```{index} single: SciPy; Integration
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See the [documentation](http://docs.scipy.org/doc/scipy/reference/integrate.html) for more details.
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## Linear Algebra
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## {index}`Linear Algebra <single: Linear Algebra>`
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```{index} single: SciPy; Linear Algebra
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```

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