name: python3

---

(404)=

# Page Not Found

```{raw} html

name: python3

---

(about_py)=

```{raw} html

<div id="qe-notebook-header" align="right" style="text-align:right;">

<a href="https://quantecon.org/" title="quantecon.org">

The [SciPy](http://www.scipy.org) library is built on top of NumPy and provides additional functionality.

(tuple_unpacking_example)=

For example, let's calculate $\int_{-2}^2 \phi(z) dz$ where $\phi$ is the standard normal density.

```{code-cell} python3

* GPU programming through [PyCuda](https://wiki.tiker.net/PyCuda), [PyOpenCL](https://mathema.tician.de/software/pyopencl/), [Theano](http://deeplearning.net/software/theano/) or similar.

(intfc)=

### Other Developments

There are many other interesting developments with scientific programming in Python.

name: python3

---

(debugging)=

```{raw} html

<div id="qe-notebook-header" align="right" style="text-align:right;">

<a href="https://quantecon.org/" title="quantecon.org">

name: python3

---

(functions)=

```{raw} html

<div id="qe-notebook-header" align="right" style="text-align:right;">

<a href="https://quantecon.org/" title="quantecon.org">

This is accomplished in the next program

(funcloopprog)=

```{code-cell} python3

def generate_data(n):

ϵ_values = []

This is achieved in the next piece of code.

(funcloopprog2)=

```{code-cell} python3

def generate_data(n, generator_type):

ϵ_values = []

To understand this, consider the following version.

(test_program_6)=

```{code-cell} python3

def generate_data(n, generator_type):

ϵ_values = []

name: python3

---

(getting_started)=

```{raw} html

<div id="qe-notebook-header" align="right" style="text-align:right;">

<a href="https://quantecon.org/" title="quantecon.org">

**All of what follows assumes that you adopt this recommendation!**

(install_anaconda)=

### Installing Anaconda

```{index}

For more information on conda, type conda help in a terminal.

(ipython_notebook)=

## Jupyter Notebooks

```{index}

In a code cell, try typing `\alpha` and then hitting the tab key on your keyboard.

(a_test_program)=

#### A Test Program

Let's run a test program.

In this way, the Tab key helps remind you of what's available and also saves you typing.

(gs_help)=

#### On-Line Help

```{index}

## Installing Libraries

(gs_qe)=

```{index}

single: QuantEcon

```

One library we'll be using is [QuantEcon.py](http://quantecon.org/quantecon-py).

(gs_install_qe)=

You can install [QuantEcon.py](http://quantecon.org/quantecon-py) by

starting Jupyter and typing

This is an alternative way to start the notebook that can also be handy.

(gs_ex2)=

### Exercise 2

```{index}

name: python3

---

(index)=

# Python Programming for Economics and Finance

```{toctree}

This part provides a look at more advanced concepts in Python programming

```{only} html

## Lectures

```

```{toctree}

:maxdepth: 2

name: python3

---

(learning_python)=

```{raw} html

<div id="qe-notebook-header" align="right" style="text-align:right;">

<a href="https://quantecon.org/" title="quantecon.org">

This first part of the course provides a relatively fast-paced introduction to the Python programming language

```{only} html

## Lectures

```

```{toctree}

:maxdepth: 2

name: python3

---

(learning_python)=

```{raw} html

<div id="qe-notebook-header" align="right" style="text-align:right;">

<a href="https://quantecon.org/" title="quantecon.org">

Next we cover the third party libraries most useful for scientific work in Python

```{only} html

## Lectures

```

```{toctree}

:maxdepth: 2

name: python3

---

(toc)=

```{raw} html

<p id="numfocus_badge" style="float:right;margin:0 0 0 2rem;"><a href="https://www.numfocus.org/"><img src="/_static/img/powered-by-NumFOCUS-orange.svg" alt="Powered by NumFOCUS logo"></a></p>

```

```{only} html

# Table of Contents

```

```{toctree}

---

---

```

```{only} latex

Acknowledgements: These lectures have benefitted greatly from comments and

suggestion from our colleagues, students and friends. Special thanks go to

Anmol Bhandari, Long Bui, Jeong-Hun Choi, Chase Coleman, David Evans, Shunsuke Hori,

Chenghan Hou, Doc-Jin Jang, Spencer Lyon, Qingyin Ma, Akira Matsushita,

Matthew McKay, Tomohito Okabe, Alex Olssen, Nathan Palmer and Yixiao Zhou.

```