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View file @ 1035341c
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
.python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
\ No newline at end of file
001-Tutorials/001-Basic-Tutorials/001-IPython-Kernel/Capturing Output.ipynb deleted 100644 → 0
View file @ d1dd4f85
%% Cell type:markdown id: tags:
# Capturing Output With <tt>%%capture</tt>
%% Cell type:markdown id: tags:
IPython has a [cell magic](Cell Magics.ipynb), `%%capture`, which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable.
%% Cell type:code id: tags:
``` python
from __future__ import print_function
import sys
```
%% Cell type:markdown id: tags:
By default, `%%capture` discards these streams. This is a simple way to suppress unwanted output.
%% Cell type:code id: tags:
``` python
%%capture
print('hi, stdout')
print('hi, stderr', file=sys.stderr)
```
%% Cell type:markdown id: tags:
If you specify a name, then stdout/stderr will be stored in an object in your namespace.
%% Cell type:code id: tags:
``` python
%%capture captured
print('hi, stdout')
print('hi, stderr', file=sys.stderr)
```
%% Cell type:code id: tags:
``` python
captured
```
%% Output
<IPython.utils.capture.CapturedIO at 0x1076c9310>
%% Cell type:markdown id: tags:
Calling the object writes the output to stdout/stderr as appropriate.
%% Cell type:code id: tags:
``` python
captured()
```
%% Output
hi, stdout
hi, stderr
%% Cell type:code id: tags:
``` python
captured.stdout
```
%% Output
'hi, stdout\n'
%% Cell type:code id: tags:
``` python
captured.stderr
```
%% Output
'hi, stderr\n'
%% Cell type:markdown id: tags:
`%%capture` grabs all output types, not just stdout/stderr, so you can do plots and use IPython's display system inside `%%capture`
%% Cell type:code id: tags:
``` python
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
```
%% Cell type:code id: tags:
``` python
%%capture wontshutup
print("setting up X")
x = np.linspace(0,5,1000)
print("step 2: constructing y-data")
y = np.sin(x)
print("step 3: display info about y")
plt.plot(x,y)
print("okay, I'm done now")
```
%% Cell type:code id: tags:
``` python
wontshutup()
```
%% Output
setting up X
step 2: constructing y-data
step 3: display info about y
okay, I'm done now
%% Cell type:markdown id: tags:
And you can selectively disable capturing stdout, stderr or rich display, by passing `--no-stdout`, `--no-stderr` and `--no-display`
%% Cell type:code id: tags:
``` python
%%capture cap --no-stderr
print('hi, stdout')
print("hello, stderr", file=sys.stderr)
```
%% Output
hello, stderr
%% Cell type:code id: tags:
``` python
cap.stdout
```
%% Output
'hi, stdout\n'
%% Cell type:code id: tags:
``` python
cap.stderr
```
%% Output
''
%% Cell type:code id: tags:
``` python
cap.outputs
```
%% Output
[]
001-Tutorials/001-Basic-Tutorials/001-IPython-Kernel/Raw Input in the Notebook.ipynb deleted 100644 → 0
View file @ d1dd4f85
%% Cell type:markdown id: tags:
# Using `raw_input` and `%debug` in the Notebook
%% Cell type:markdown id: tags:
The Notebook has added support for `raw_input` and `%debug`, as of 1.0.
%% Cell type:code id: tags:
``` python
# Python 3 compat
import sys
if sys.version_info[0] >= 3:
raw_input = input
```
%% Cell type:code id: tags:
``` python
name = 'John' # raw_input("What is your name? ")
name
```
%% Output
What is your name? bla
'bla'
%% Cell type:code id: tags:
``` python
def div(x, y):
return x/y
# div(1,0)
```
%% Output
---------------------------------------------------------------------------
ZeroDivisionError Traceback (most recent call last)
<ipython-input-4-a5097cc0c0c5> in <module>()
2 return x/y
3
----> 4 div(1,0)
<ipython-input-4-a5097cc0c0c5> in div(x, y)
1 def div(x, y):
----> 2 return x/y
3
4 div(1,0)
ZeroDivisionError: division by zero
%% Cell type:code id: tags:
``` python
%debug
```
%% Output
> <ipython-input-4-a5097cc0c0c5>(2)div()
 1 def div(x, y):
----> 2  return x/y
 3 

ipdb> x
1
ipdb> y
0
ipdb> bt
<ipython-input-4-a5097cc0c0c5>(4)<module>()
 1 def div(x, y):
 2  return x/y
 3 
----> 4 div(1,0)

> <ipython-input-4-a5097cc0c0c5>(2)div()
 1 def div(x, y):
----> 2  return x/y
 3 
 4 div(1,0)

ipdb> exit
001-Tutorials/002-IPython-Cookbook/README.md deleted 100644 → 0
View file @ d1dd4f85
# Code of the IPython Cookbook, Second Edition (2018)
[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/ipython-books/cookbook-2nd-code/master)
This repository contains the Jupyter notebooks of the 100+ recipes of [*IPython Interactive Computing and Visualization Cookbook, Second Edition (2018)*](https://www.packtpub.com/big-data-and-business-intelligence/ipython-interactive-computing-and-visualization-cookbook-second-e), by [Cyrille Rossant](http://cyrille.rossant.net), *Packt Publishing*.
This repository is read-only: the source files are on the [cookbook-2nd](https://github.com/ipython-books/cookbook-2nd) repository.
## Running the code in the cloud
With [Binder](https://mybinder.org/), you can run most of the Jupyter notebooks directly from your web browser without installing anything. Just click on the `launch binder` button above. A temporary Jupyter Notebook server with all dependencies will be automatically launched in the cloud. It is not persistent: all your changes will be lost after some time.
## Running the code on your computer
1. [**Install** git](https://git-scm.com/downloads).
2. [**Download and install** Anaconda](https://www.anaconda.com/download/): choose the **Python 3.6, 64-bit** version for your operating system (macOS, Linux, or Windows).
3. **Open** a terminal (`cmd` on Windows).
4. **Clone** the repository:
```bash
$ git clone https://github.com/ipython-books/cookbook-2nd-code.git
$ cd cookbook-2nd-code
```
5. **Create** the `cookbook` [conda environment](https://conda.io/docs/user-guide/tasks/manage-environments.html#creating-an-environment-from-an-environment-yml-file):
```bash
conda env create -f environment.yml
```
6. **Activate** the environment:
* On macOS and Linux:
```bash
source activate cookbook
```
* On Windows:
```bash
activate cookbook
```
7. **Launch** the [Jupyter Notebook](http://jupyter.org/install.html):
```bash
$ jupyter notebook
```