Elegant Scipy the Art of Scientific Python Pdf Download

Elegant SciPy

Try the live notebooks via MyBinder!

This is the online repository for the book Elegant SciPy, written by Juan Nunez-Iglesias (@jni), Harriet Dashnow (@hdashnow), and Stéfan van der Walt (@stefanv), and published past O'Reilly Media:

Using this book.

The text of the volume (inside the markdown binder) is available under the Artistic Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License (see LICENSE.md).

All code is bachelor under the BSD 3-clause license (see LICENSE-CODE.md). This includes:

• Python lawmaking embedded in the text of the volume.
• Python code inside scripts/.
• Our Makefile and .yml files.

The authors besides encourage educators to use this book in their own classrooms for noncommercial instructional uses (i.east. for slide presentations in a university lecture), provided that there is proper attribution to the O'Reilly edition in each instance.

If you are unsure whether your use falls outside off-white use or the permissions given to a higher place, contact the states at permissions@oreilly.com.

Pre-built Jupyter notebooks

You can find the pre-compiled Jupyter notebooks respective to the latest version of this repo at:

https://github.com/elegant-scipy/notebooks

This includes the necessary data in the information binder.

Or, if yous are feeling audacious, you can compile the notebooks yourself past following the instructions beneath.

Building the IPython notebooks

This book was written in markdown, with notedown and jupyter nbconvert used to build the book. To recreate the book contents, install the dependencies, (run across below), and so run make all from this directory (assuming you are using Mac OS 10 or Linux).

For interactive exploration you lot probably don't desire to pre-run all the code, but rather create the notebooks with pre-populated input cells. To do this, run, for example:

              notedown --match python /markdown/ch5.markdown --output ch5.ipynb            

to build a Jupyter notebook containing Affiliate v, which you can and so step through past starting a notebook session in this directory:

Installing dependencies

First, we build an isolated environment as not to interrupt whatsoever existing setup you may have. This can be done using, e.chiliad., Conda or Python'due south built-in virtual environment module:

Conda install

1. Install conda or Anaconda

2. Build an isolated environment called "elegant-scipy" and install the necessary dependencies:

              conda env create --name elegant-scipy -f /path/to/elegant-scipy/environment.yml            

3. Actuate the environment with conda actuate elegant-scipy (or source actuate elegant-scipy if using conda 4.3.x or before, or activate elegant-scipy on Windows)

Python venv module

1. Create a new virtual environs:

                     python -m venv --prompt elegant-scipy venv                

   This volition create a python virtual environs named elegant-scipy and store information technology in ./venv.

2. Activate the newly-created environment:

3. Install the dependencies with pip

                     pip install -r requirements.txt                

You lot tin remove the virtual surroundings at any time by deleting the venv/ directory.

Windows

To build the total book on Windows, yous will at a minimum need the post-obit additional software:

• GitBash for Unix utilities such as "make"
• wget

Building the volume on Windows is likely to be challenging because we developed the build process on Mac and Linux. However, you should withal be able to create conda environments (see "Installing dependencies", higher up), and run notedown, to make the Jupyter notebooks (see "Edifice the IPython notebooks", to a higher place).

If yous come across whatever issues, please raise an issue!

Building the complete book

We are using notedown to convert a markdown file to an IPython notebook, run it, and then convert to html. For ease of utilise, this is done using a Makefile.

Yous can utilize make to build all the chapters:

Or to build just an private chapter, specify the file y'all wish to create:

To generate a goose egg file containing html of all chapters along with a tabular array of contents (for easy sharing):

Edifice HTMLBook

Install:

• npm: mash install npm (macOS) or sudo apt-get install npm (Ubuntu/Debian)
• htmlbook: npm install -g htmlbook
• blahtexml: brew install blahtexml or sudo apt-go install blahtexml

Then run make htmlbook.

The results can exist checked in to

git@git.atlas.oreilly.com:oreillymedia/elegant-scipy.git

and built at https://atlas.oreilly.com/oreillymedia/elegant-scipy

Building with Docker

0. Install Docker
1. Switch to the directory containing this file
2. Run docker-compose upwardly

frankborceir.blogspot.com

Source: https://github.com/elegant-scipy/elegant-scipy

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