index.json

{
 "metadata": {
  "tags": {
   "calc": {
    "name": "Calculus"
   },
   "linalg": {
    "name": "Linear Algebra"
   },
   "stats": {
    "name": "Statistics"
   },
   "intro": {
    "name": "Introduction"
   },
   "python": {
    "name": "Python",
    "info": "Make sure to pick a suitable Python environment (Python 2, Python 3, Anaconda, ...)"
   },
   "math": {
    "name": "Mathematics"
   },
   "julia": {
    "name": "Julia",
    "info": "Be patient. Starting Julia the first time might require to recompile some modules."
   },
   "finance": {
    "name": "Finance"
   },
   "sage": {
    "name": "SageMath"
   },
   "r": {
    "name": "R Project"
   },
   "md": {
    "name": "Markdown"
   },
   "latex": {
    "name": "LaTeX"
   }
  },
  "licenses": {
   "a20": "Apache 2.0",
   "asis": "AS IS",
   "bsd": "BSD",
   "cc0": "CC0 1.0 Universal",
   "ccby": "CC BY 4.0",
   "ccbysa": "CC BY-SA",
   "ccbync3": "CC BY-NC 3.0",
   "mit": "MIT",
   "gpl3": "GNU General Public License 3.0",
   "gfdl": "GNU Free Documentation License"
  },
  "categories": {
   "intro": {
    "name": "Introduction",
    "weight": -1
   },
   "stats": {
    "name": "Statistics"
   },
   "cs": {
    "name": "Computer science"
   },
   "datascience": {
    "name": "Data science"
   },
   "math": {
    "name": "Mathematics"
   },
   "physics": {
    "name": "Physics"
   },
   "chemistry": {
    "name": "Chemistry"
   },
   "latex": {
    "name": "LaTeX templates"
   },
   "science": {
    "name": "Science"
   },
   "misc": {
    "name": "Miscellaneous",
    "weight": 1
   },
   "finance": {
    "name": "Finance"
   }
  }
 },
 "documents": [
  {
   "id": "vqe-playground",
   "title": "Variational Quantum Eigensolver Playground",
   "src": "/ext/library/cocalc-examples/vqe-playground/",
   "license": "a20",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/vqe-playground.png",
   "category": "physics",
   "description": "Variational Quantum Eigensolver: gaining intuition about Variational Quantum Eigensolver. (based on [Quiskit](https://qiskit.org/), the \"Quntum Information Science Kit\")\n",
   "website": "https://github.com/JavaFXpert/vqe-playground"
  },
  {
   "id": "cocalc-first-steps",
   "title": "First Steps in CoCalc",
   "src": "/ext/library/cocalc-examples/first-steps/src/",
   "subdir": "first-steps",
   "license": "a20",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/cocalc-first-steps.png",
   "category": "intro",
   "tags": [
    "intro"
   ],
   "description": "Quick introduction to CoCalc interface and basic functionalities.\n"
  },
  {
   "id": "bayes-for-hackers",
   "title": "Bayesian Methods for Hackers",
   "src": "/ext/library/cocalc-examples/bayesian-methods-for-hackers/",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/bayesian.png",
   "description": "Hands-on tutorial how Bayesian Methods work, based on Python's PyMC library.\n",
   "author": "Cameron Davidson-Pilon",
   "license": "asis",
   "category": "stats",
   "tags": [
    "stats",
    "python"
   ]
  },
  {
   "id": "cmichi-latex-templates",
   "src": "/ext/library/cocalc-examples/cmichi-latex-templates/",
   "title": "Michael M\u00fcller's LaTeX Templates",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/muller-latex.png",
   "category": "latex",
   "license": "mit",
   "description": "Collection of different LaTeX/XeTeX templates (cv, invoices, timesheets, letters, etc.).\n",
   "website": "https://github.com/cmichi/latex-template-collection"
  },
  {
   "id": "deedy-latex-templates",
   "src": "/ext/library/cocalc-examples/deedy-latex-templates/",
   "title": "Deedy LaTeX Templates",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/deedy-latex.png",
   "license": "cc0",
   "category": "latex",
   "description": "A concise set of Latex templates that serves a small set of needs - CV, Essays, Articles and Problem Sets.\n",
   "website": "https://github.com/deedy/Latex-Templates"
  },
  {
   "id": "schymanski-leaf-scale",
   "src": "/ext/library/cocalc-examples/Schymanski_leaf-scale_2016/",
   "license": "gpl3",
   "category": "misc",
   "title": "Leaf-scale experiments reveal an important omission in the Penman\u2013Monteith equation",
   "description": "Support information for article: http://www.hydrol-earth-syst-sci-discuss.net/hess-2016-363/\n"
  },
  {
   "id": "datasci-notebooks",
   "src": "/ext/library/cocalc-examples/data-science-ipython-notebooks/",
   "title": "Data science Python notebooks",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/datascience-tutorials.png",
   "category": "datascience",
   "license": "a20",
   "tags": [
    "python"
   ],
   "website": "https://github.com/donnemartin/data-science-ipython-notebooks",
   "description": "Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle,\nbig data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.\n"
  },
  {
   "id": "beezer-linear-algebra",
   "src": "/ext/library/cocalc-examples/beezer-linear-algebra/",
   "category": "math",
   "title": "Sage and Linear Algebra",
   "description": "This is a collection of classroom-tested worksheets to accompany Beezer's [First Course in Linear Algebra](http://linear.pugetsound.edu/).",
   "website": "http://linear.pugetsound.edu/",
   "author": "Robert A. Beezer",
   "license": "ccbysa",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/sage-lin-alg.png"
  },
  {
   "id": "paulsen-abstract-algebra",
   "src": "/ext/library/cocalc-examples/paulsen-abstract-algebra/",
   "category": "math",
   "title": "Abstract Alebra: An Interactive Approach",
   "description": "Jupyter notebooks to accompany William Paulsen's [Abstract Algebra: An Interactive Approach, Second Edition](https://www.crcpress.com/Abstract-Algebra-An-Interactive-Approach-Second-Edition/Paulsen/p/book/9781498719766).",
   "website": "https://www.crcpress.com/Abstract-Algebra-An-Interactive-Approach-Second-Edition/Paulsen/p/book/9781498719766",
   "author": "William Paulsen",
   "license": "asis",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/aa-paulsen.png"
  },
  {
   "id": "ml-with-python",
   "src": "/ext/library/cocalc-examples/introduction_to_ml_with_python/",
   "title": "Introduction to Machine Learning with Python",
   "author": "Andreas Mueller and Sarah Guido",
   "description": "Notebooks and code for the book \"Introduction to Machine Learning with Python\"",
   "website": "https://github.com/amueller/introduction_to_ml_with_python",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/intro-to-ml.jpg",
   "category": "datascience",
   "tags": [
    "python"
   ]
  },
  {
   "id": "sci-comp-python",
   "src": "/ext/library/cocalc-examples/scientific-python-lectures/",
   "title": "Lectures on scientific computing with Python",
   "author": "Robert Johansson",
   "website": "https://github.com/jrjohansson/scientific-python-lectures",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/sci-computing-python.png",
   "category": "datascience",
   "tags": [
    "python"
   ],
   "license": "ccby"
  },
  {
   "id": "python-data-science-handbook",
   "category": "datascience",
   "src": "/ext/library/cocalc-examples/PythonDataScienceHandbook/",
   "title": "Python Data Science Handbook",
   "author": "Jake Vanderplas",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/PDSH-cover.png",
   "tags": [
    "python"
   ],
   "license": "mit"
  },
  {
   "id": "stanford-tensorflow-tutorials",
   "category": "datascience",
   "src": "/ext/library/cocalc-examples/stanford-tensorflow-tutorials/",
   "title": "Stanford Tensorflow Tutorials",
   "description": "This repository contains code examples for the course **CS 20SI: TensorFlow for Deep Learning Research**.\n",
   "website": "http://cs20si.stanford.edu",
   "tags": [
    "python"
   ]
  },
  {
   "id": "aaron-tresham-calc",
   "category": "math",
   "src": "/ext/library/cocalc-examples/tresham-calculus-worksheets/",
   "title": "Aaron Tresham Calculus Materials",
   "author": "Aaron Tresham",
   "description": "A collection of classroom-tested worksheets to accompany Tresham's [Math 205](http://www2.hawaii.edu/~tresham/Math205%20Lab/math205lab.html) and [Math 206](http://www2.hawaii.edu/~tresham/Math206%20Lab/math206lab.html).\n\nFiles are publicly hosted [here](https://cocalc.com/share/f8df5b36830778dde7b3c3c4e68c542bbaeeefba/Aaron%20Tresham%20Calculus%20Material/?viewer=share).\n",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/tresham-calc.png",
   "tags": [
    "calc",
    "sage"
   ],
   "license": "ccbysa"
  },
  {
   "id": "statistical-rethinking-python-PyMC3",
   "category": "stats",
   "src": "/ext/library/cocalc-examples/statistical-rethinking-python-PyMC3/",
   "title": "Statistical Rethinking with Python and PyMC3",
   "license": "ccby",
   "description": "Statistical Rethinking by Richard McElreath is an incredible good introductory book to Bayesian Statistics.\nIt follows a *Jaynesian* and practical approach with very good examples and clear explanations.\n\nIn [this repository](https://github.com/aloctavodia/Statistical-Rethinking-with-Python-and-PyMC3)\nwe ported the codes (originally in R and Stan) in the book to PyMC3.\nWe are trying to keep the examples as close as possible to those in the book,\nwhile at the same time trying to express them in the most Pythonic and PyMC3onic way we can.\n"
  },
  {
   "id": "aata",
   "src": "/ext/library/cocalc-examples/aata/",
   "category": "math",
   "title": "Abstract Algebra: Theory and Applications",
   "author": "Tom Judson",
   "website": "http://abstract.pugetsound.edu/",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/aata.jpg",
   "tags": [
    "sage"
   ],
   "description": "This open source textbook designed to teach the principles and theory of abstract algebra to college juniors and seniors in a rigorous manner.\nIts strengths include a wide range of exercises, both computational and theoretical, plus many nontrivial applications.\n",
   "license": "gfdl"
  },
  {
   "id": "cmws",
   "src": "/ext/library/cocalc-examples/cmws/",
   "category": "math",
   "tags": [
    "sage"
   ],
   "title": "Computational Mathematics with SageMath",
   "author": "Paul Zimmermann et al.",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/cmws.jpg",
   "license": "ccbysa",
   "description": "A book about the mathematics needed to use Sage efficiently, illustrated by concrete examples. The first part is accessible to high school and undergraduate students. The remainder is suited for graduate students, teachers, and researchers.\n",
   "website": "http://sagebook.gforge.inria.fr/english.html"
  },
  {
   "id": "math157",
   "src": "/ext/library/cocalc-examples/math157/",
   "category": "math",
   "tags": [
    "sage"
   ],
   "title": "Math 157: Intro to Mathematical Software",
   "author": "Kiran S. Kedlaya and William Stein",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/math157.png",
   "license": "ccbysa",
   "description": "Course materials from *Math 157: Intro to Mathematical Software*, taught by Kiran Kedlaya at UC San Diego during the winter 2018 quarter.\nThese were adapted from a similar course (Math 152) taught by Kedlaya at UCSD during winter 2017,\nand ultimately from several courses (Math 480) taught by William Stein at University of Washington.\n"
  },
  {
   "id": "think-complexity-2ed",
   "src": "/ext/library/cocalc-examples/think-complexity-2ed/code/",
   "subdir": "think-complexity-code",
   "category": "science",
   "license": "mit",
   "title": "Think Complexity",
   "author": "Allen B. Downey",
   "description": "This is the accompanying code for this book.\nIt is primarily about complexity science, but studying complexity science gives you a chance to explore topics and ideas\nyou might not encounter otherwise, practice programming in Python, and learn about data structures and algorithms.\n",
   "tags": [
    "python"
   ],
   "thumbnail": "/ext/library/cocalc-examples/thumbs/think_complexity_cover.png",
   "website": "http://greenteapress.com/wp/think-complexity-2e/"
  },
  {
   "id": "think-dsp",
   "src": "/ext/library/cocalc-examples/think-dsp/code/",
   "subdir": "think-dsp-code",
   "category": "physics",
   "title": "Think DSP",
   "description": "*Think DSP* is an introduction to Digital Signal Processing in Python.\n\n*This is the accompanying code for this book.*\n",
   "author": "Allen B. Downey",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/think_dsp_cover.jpg",
   "website": "http://greenteapress.com/wp/think-dsp/",
   "tags": [
    "python"
   ],
   "license": "gpl3"
  },
  {
   "id": "think-stats-2ed",
   "src": "/ext/library/cocalc-examples/think-stats-2ed/code/",
   "subdir": "think-stats-code",
   "category": "stats",
   "title": "Think Stats",
   "author": "Allen B. Downey",
   "website": "http://greenteapress.com/wp/think-stats-2e/",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/thinkstats2cover.jpg",
   "description": "*Think Stats* is an introduction to Probability and Statistics for Python programmers.\n\n*This is the accompanying code for this book.*\n",
   "tags": [
    "python"
   ],
   "license": "gpl3"
  },
  {
   "id": "think-bayes",
   "src": "/ext/library/cocalc-examples/think-bayes/code/",
   "subdir": "think-bayes-code",
   "category": "stats",
   "title": "Think Bayes",
   "author": "Allen B. Downey",
   "website": "http://greenteapress.com/wp/think-bayes/",
   "description": "*Think Bayes* is an introduction to Bayesian statistics using computational methods.\n\n*This is the accompanying code for this book.*\n",
   "tags": [
    "python"
   ],
   "license": "gpl3",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/think_bayes_cover_medium.png"
  },
  {
   "id": "think-python-2ed",
   "src": "/ext/library/cocalc-examples/think-python-2ed/code/",
   "subdir": "think-python-code",
   "title": "Think Python",
   "author": "Allen B. Downey",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/think_python2_medium.jpg",
   "category": "cs",
   "description": "*Think Python* is an introduction to Python programming for beginners.\nIt starts with basic concepts of programming, and is carefully designed to define all terms when they are first used\nand to develop each new concept in a logical progression.\n\n*This is the accompanying code for this book.*\n",
   "tags": [
    "python"
   ],
   "license": "ccby",
   "website": "http://greenteapress.com/wp/think-python-2e/"
  },
  {
   "id": "think-OS",
   "src": "/ext/library/cocalc-examples/think-OS/code/",
   "subdir": "think-OS-code",
   "title": "Think OS",
   "author": "Allen B. Downey",
   "category": "cs",
   "description": "*Think OS* is an introduction to Operating Systems for programmers.\n\n*This is the accompanying code for this book.*\n",
   "website": "http://greenteapress.com/thinkos/",
   "license": "ccbysa"
  },
  {
   "id": "scikit-image-tutorials",
   "src": "/ext/library/cocalc-examples/scikit-image-tutorials/",
   "title": "Scikit-Image Tutorials",
   "category": "datascience",
   "thumbnail": "/ext/library/cocalc-examples/thumbs/scikit-image.png",
   "website": "https://github.com/scikit-image/skimage-tutorials",
   "license": "cc0",
   "description": "A collection of tutorials for the scikit-image package.\n"
  },
  {
   "id": "public-finance-2018-2019",
   "src": "/ext/library/cocalc-examples/public_finance_2018_2019/",
   "title": "Public Finance 2018/2019 UCSC",
   "author": "Duccio Gamannossi degl'Innocenti",
   "website": "https://github.com/dgdi/public_finance_2018_2019",
   "license": "bsd",
   "category": "finance",
   "tags": [
    "finance"
   ],
   "description": "This repository stores the [SageMath](http://www.sagemath.org/) notebooks for the course\nPublic Finance 2018/2019 at the Catholic University of the Sacred Heart, Milan.\n\nAuthor: [Duccio Gamannossi degl'Innocenti](http://www.dgdi.me)\n"
  },
  {
   "id": "nbgrader-demo",
   "title": "NBGrader Examples",
   "src": "/ext/library/cocalc-examples/nbgrader-demo/instructor/source/ps1/",
   "subdir": "nbgrader-demo",
   "website": "https://github.com/jhamrick/nbgrader-demo",
   "category": "intro",
   "description": "A demonstration how to write [NBGrader](https://nbgrader.readthedocs.io/en/stable/) notebooks.\n"
  },
  {
   "id": "sagemath-cocalc",
   "title": "SageMath in CoCalc",
   "thumbnail": "/ext/library/cocalc-examples/cocalc-example-files/thumbs/sage-in-cocalc.png",
   "description": "Learn how to use [SageMath](http://www.sagemath.org) in CoCalc.\n",
   "tags": [
    "sage",
    "math",
    "intro"
   ],
   "src": "/ext/library/cocalc-examples/cocalc-example-files/sage/",
   "license": "a20",
   "category": "intro"
  },
  {
   "id": "r-cocalc",
   "title": "R Statistical Software in CoCalc",
   "tags": [
    "r",
    "stats",
    "intro"
   ],
   "src": "/ext/library/cocalc-examples/cocalc-example-files/r/",
   "description": "Learn how to get started with [R Statistical Software](http://www.r-project.org/) in CoCalc\n",
   "license": "a20",
   "category": "intro",
   "thumbnail": "/ext/library/cocalc-examples/cocalc-example-files/thumbs/r-in-cocalc.png"
  },
  {
   "id": "julia-cocalc",
   "title": "Julia in CoCalc",
   "tags": [
    "intro",
    "julia"
   ],
   "src": "/ext/library/cocalc-examples/cocalc-example-files/julia/",
   "description": "Learn how to get started with [Julia](https://www.julialang.org/) in CoCalc.\n",
   "license": "a20",
   "category": "intro",
   "thumbnail": "/ext/library/cocalc-examples/cocalc-example-files/julia/julia-logo-325-by-225.png"
  },
  {
   "id": "rmarkdown",
   "title": "RMarkdown in CoCalc",
   "tags": [
    "intro",
    "r"
   ],
   "src": "/ext/library/cocalc-examples/cocalc-example-files/RMarkdown/",
   "description": "Various examples of [RMarkdown](https://rmarkdown.rstudio.com/) documents in CoCalc.\n",
   "thumbnail": "/ext/library/cocalc-examples/cocalc-example-files/thumbs/rmd.png",
   "category": "intro",
   "license": "a20"
  },
  {
   "id": "md-cocalc",
   "title": "Markdown in CoCalc",
   "description": "Quick introduction and reference guide for working with Markdown text formatting in CoCalc.\n",
   "tags": [
    "md",
    "intro"
   ],
   "license": "a20",
   "src": "/ext/library/cocalc-examples/cocalc-example-files/markdown/",
   "thumbnail": "/ext/library/cocalc-examples/cocalc-example-files/thumbs/markdown-in-cocalc.png",
   "category": "intro"
  },
  {
   "id": "sagetex-cocalc",
   "title": "SageTeX in CoCalc",
   "description": "SageTex enables LaTeX to evaluate Sage-code right inside the document \u2013 e.g. `$\\sage{1+1}$` produces the formula `$2$` and `\\sageplot{...}` calculates and draws a graphic. CoCalc fully manages the compilation process behind the scenes for you.\n",
   "website": "https://ctan.org/pkg/sagetex?lang=en",
   "src": "/ext/library/cocalc-examples/cocalc-example-files/latex/sagetex/",
   "license": "a20",
   "thumbnail": "/ext/library/cocalc-examples/cocalc-example-files/thumbs/sagetex-in-cocalc.png",
   "tags": [
    "intro",
    "math",
    "sage",
    "latex"
   ],
   "category": "latex"
  },
  {
   "id": "pythontex",
   "title": "PythonTeX in CoCalc",
   "src": "/ext/library/cocalc-examples/cocalc-example-files/latex/pythontex/",
   "license": "a20",
   "description": "[PythonTeX]() enhances LaTeX documents to insert and run Python code from within the document itself. E.g. `\\py{2*3}` inserts `5`, more advanced mathematics via `sympy` blocks, and you can insert dynamically create plots. CoCalc fully manages the compilation process behind the scenes for you.\n",
   "thumbnail": "/ext/library/cocalc-examples/cocalc-example-files/thumbs/pythontex.png",
   "tags": [
    "intro",
    "latex",
    "math"
   ],
   "category": "latex"
  },
  {
   "id": "latex-beamer-cocalc",
   "title": "Minimal LaTeX beamer presentation",
   "description": "This is a quick minimal beamer presentation template.\n",
   "website": "https://en.wikipedia.org/wiki/Beamer_(LaTeX)",
   "license": "a20",
   "thumbnail": "/ext/library/cocalc-examples/cocalc-example-files/thumbs/latex-beamer-in-cocalc.png",
   "src": "/ext/library/cocalc-examples/cocalc-example-files/latex/presentation/",
   "category": "latex",
   "tags": [
    "latex"
   ]
  },
  {
   "id": "latex-multiple-files-cocalc",
   "title": "Multiple source files in CoCalc",
   "description": "This template explains and demonstrates how to work with multiple source files in LaTeX on CoCalc. It allows you to edit each individual part with preview, and then combines all parts into one master document.\n",
   "license": "a20",
   "src": "/ext/library/cocalc-examples/cocalc-example-files/latex/multiple-files/",
   "thumbnail": "/ext/library/cocalc-examples/cocalc-example-files/thumbs/latex-multiple-documents.png",
   "category": "latex",
   "tags": [
    "latex"
   ]
  }
 ]
}