# 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
```
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IPython Interactive Computing and Visualization Cookbook (2nd, c...
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Jupyter notebook introduction: This cookbook contains in excess of a hundred focused recipes, answering specific questions in numerical computing and data analysis with IPython
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IPython Interactive Computing and Visualization Cookbook (2nd, code) (118个子文件)
.gitignore 32B
04_turing.ipynb 6.36MB
02_airports.ipynb 5.85MB
05_voronoi.ipynb 3.85MB
05_widgets.ipynb 3.36MB
02_filters.ipynb 2.54MB
06_kde.ipynb 1.94MB
06_altair.ipynb 1.74MB
03_bokeh.ipynb 1.72MB
02_pandas.ipynb 1.66MB
04_interest.ipynb 1.57MB
05_svm.ipynb 1.42MB
01_bifurcation.ipynb 1.22MB
01_exposure.ipynb 1.15MB
08_clustering.ipynb 1.1MB
06_gis.ipynb 980KB
03_segmentation.ipynb 979KB
03_widgets.ipynb 939KB
07_pymc.ipynb 922KB
06_speech.ipynb 894KB
01_styles.ipynb 810KB
01_networkx.ipynb 808KB
02_filter.ipynb 784KB
02_minimize.ipynb 741KB
01_fourier.ipynb 724KB
01_pandas.ipynb 701KB
05_faces.ipynb 618KB
03_dag.ipynb 567KB
05_mlfit.ipynb 497KB
01_scikit.ipynb 497KB
07_gps.ipynb 484KB
01_notebook.ipynb 420KB
02_seaborn.ipynb 417KB
07_pca.ipynb 396KB
08_sage.ipynb 362KB
12_julia.ipynb 343KB
04_sde.ipynb 318KB
06_random_forest.ipynb 314KB
03_autocorrelation.ipynb 308KB
02_profile.ipynb 308KB
03_brownian.ipynb 298KB
07_rolling_average.ipynb 291KB
01_markov.ipynb 289KB
03_ode.ipynb 277KB
04_correlation.ipynb 273KB
06_ray.ipynb 270KB
01_blocks.ipynb 258KB
03_curvefitting.ipynb 253KB
04_d3.ipynb 207KB
02_titanic.ipynb 205KB
05_cython.ipynb 200KB
04_energy.ipynb 192KB
02_nbformat.ipynb 187KB
03_linebyline.ipynb 179KB
02_cellular.ipynb 148KB
01_root.ipynb 116KB
02_poisson.ipynb 110KB
03_bayesian.ipynb 109KB
08_r.ipynb 105KB
04_stats.ipynb 83KB
08_cuda.ipynb 71KB
02_numba.ipynb 70KB
04_ctypes.ipynb 63KB
04_custom_widgets.ipynb 63KB
04_connected.ipynb 62KB
05_number_theory.ipynb 61KB
02_solvers.ipynb 56KB
03_digits.ipynb 51KB
07_synth.ipynb 50KB
04_magic.ipynb 47KB
07_lotka.ipynb 38KB
06_ray_7.ipynb 35KB
06_ray_6.ipynb 35KB
06_ray_5.ipynb 34KB
06_ray_4.ipynb 34KB
06_ray_3.ipynb 34KB
06_ray_2.ipynb 33KB
06_ray_1.ipynb 32KB
04_text.ipynb 26KB
11_dask.ipynb 25KB
03_function.ipynb 21KB
06_logic.ipynb 18KB
01_sympy_intro.ipynb 16KB
02_py3.ipynb 10KB
01_py3.ipynb 10KB
01_slow.ipynb 9KB
05_array_copies.ipynb 9KB
10_async.ipynb 8KB
06_kernel.ipynb 8KB
01_shell.ipynb 7KB
04_git_advanced.ipynb 7KB
05_custom_notebook.ipynb 5KB
03_numpy.ipynb 5KB
03_git.ipynb 5KB
07_test.ipynb 5KB
08_test.ipynb 5KB
05_config.ipynb 4KB
06_stride_tricks.ipynb 3KB
09_ipyparallel.ipynb 3KB
09_hdf5_array.ipynb 3KB
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