>>> from emacs import Emacs
>>> emacs = Emacs.client()
>>> emacs.getresult('(+ 1 2)')
3

>>> from pyorg import Org
>>> org = Org(emacs)
>>> org.orgdir  # Obtained automatically from org-directory variable in Emacs
OrgDir('/home/jlumpe/org/')

>>> for file in org.orgdir.list_files(recursive=True):
>>>     print(file)
tasks.org
inbox.org
presentations.org
misc.org
research/ideas.org
research/lab-notebook.org
research/meetings.org
projects/pyorg.org
topics/control-theory.org
topics/optogenetics.org
topics/modeling.org
topics/productivity.org
topics/math.org

...

>>> doc = org.read_org_file('topics/math.org')
>>> doc.properties
{'title': ['Math'],
 'filetags': None,
 'author': ['jlumpe'],
 'creator': 'Emacs 26.2 (Org mode 9.2.4)',
 'date': [],
 'description': [],
 'email': 'jlumpe@*****',
 'language': 'en',
 'export_errors': []}

>>> doc.root.dump_outline()
Root
  0. Linear algebra
    0. Distance between covariance matrices
    1. Dual vector space
    2. Tensors
    3. Gramian Matrix
  1. Calculus
    0. Resources
    1. Chain rule for Hessian Matrices
    2. Log-transforming function inputs and outputs
    3. Parameter Jacobians of function roots
    4. Local sensitivity of initial value problems
  2. Probability theory
    0. Probability theory terms
    1. Probability distributions
    2. Statistical difference
    3. Fisher information
    4. Stochastic processes
    5. Misc
    6. Information geometry
    7. Resources
  3. Differential Geometry
  4. Stochastic Calculus
    0. Stochastic differential equations
  5. Misc
    0. Log scale plots of log ratios

>>> headline = doc.root[1][3]
>>> headline
OrgHeadlineNode(type='headline')

>>> headline.dump(properties=True)
headline
  :archivedp       = False
  :commentedp      = False
  :footnote-section-p = False
  :level           = 2
  :priority        = None
  :raw-value       = '[[wikipedia:Gramian_Matrix][Gramian Matrix]]'
  :tags            = []
  :title           = [
    link
      :application     = None
      :format          = 'bracket'
      :path            = '//en.wikipedia.org/wiki/Gramian_Matrix'
      :raw-link        = 'https://en.wikipedia.org/wiki/Gramian_Matrix'
      :search-option   = None
      :type            = 'https'
      0 'Gramian Matrix'
  ]
  :todo-keyword    = None
  :todo-type       = None
  0 section
    0 quote-block
      0 paragraph
        0 'In linear algebra, the Gram matrix (Gramian matrix or Gramian) of a set of vectors '
        1 latex-fragment
          :value           = '$v_1, \\ldots, v_n$'
        2 '\nin an inner product space is the Hermitian matrix of inner products, whose entries are given by\n'
        3 latex-fragment
          :value           = '$G_{ij} = \\langle v_1, v_2 \\rangle$'
        4 '\n'
      1 paragraph
        0 'An important application is to compute linear independence: a set of vectors are linearly\nindependent if and only if the Gram determinant (the determinant of the Gram matrix) is non-zero.\n'
      2 paragraph
        0 '-- Wikipedia\n'

...

>>> from pyorg.convert.html import to_html
>>> print(to_html(headline))