<jupyter_start><jupyter_text>Intro to Jupyter!   Jupyter Notebook offers an interactive web interface to many languages, including IPython and R.   It combines rendering of markdown-ed text, latex-ed equations, code snippets (e.g., Python, R), and graphics as well as other outputs  generated by those code snippets    Installation  https://www.continuum.io/downloads  OR  Ubuntuhttps://www.digitalocean.com/community/tutorials/how-to-set-up-a-jupyter-notebook-to-run-ipython-on-ubuntu-16-04``` bash$ sudo apt-get update$ sudo apt-get -y install python2.7 python-pip python-dev$ python --version$ pip --version$ sudo apt-get -y install ipython ipython-notebook$ sudo -H pip install jupyter```  You will likely get an error like: "You are using pip version 8.1.1, however version 8.1.2 is available."``` bash$ sudo -H pip install --upgrade pip$ sudo -H pip install jupyter```==== Mac:1. Download Anaconda. They recommend downloading Anaconda’s latest Python 3 version (currently Python 3.5).2. Install the version of Anaconda which you downloaded, following the instructions on the download page. OR:``` bash$ pip3 install --upgrade pip$ pip3 install jupyter```==== Windows:https://www.continuum.io/downloads==== That's it! You can now run it:``` bash$ jupyter notebook```   Continuing the intro...  *  Text formatting - markdown*  Equations - $\LaTeX$We like this one:  $\frac{dN}{dt} = rN \left( 1-\frac{N}{K}\right)$*  Code - Python/R/etc<jupyter_code>a = "this is python!"; print a
a <- "this is R!"; cat(a)<jupyter_output>this is R!<jupyter_text>*  Graphics - Python/R/etc<jupyter_code>require(ggplot2)

plot(1,1)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1281117182756527, 'fraction_numerical': 0.013964784456587736, 'mean_word_length': 4.5675675675675675, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 8, 'https://': 3, 'lorem ipsum': 0, 'www.': 3, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 6, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '563104', 'license': 'MIT', 'n_tokens_mistral': 580, 'n_tokens_neox': 529, 'n_words': 183, 'path': '_site/scripts/Jupyter-Samraat.ipynb', 'repo_name': 'uqbioinfo/uqbioinfo.github.io', 'size': '1647'}