datawranglingpy_1.1.0

• 2025-02-17 (v1.1.0):

  • New HTML theme (includes the light and dark mode).
  • Not using seaborn where it can easily be replaced by a few calls to the lower-level matplotlib, especially in the numpy chapters. This way, we can learn how to create some popular charts from scratch. In particular, we are now using own functions to display a heat map and a pairs plot.
  • Use numpy.genfromtxt more eagerly.
  • A few more examples of using f-strings for results' pretty-printing.
  • Bug fixes and loads of other minor extensions.
  • Updated to Python 3.11, numpy 2.2, pandas 2.2, matplotlib 3.10 (amongst others).

datawranglingpy_1.0.3

• 2023-02-06 (v1.0.3):

  • Numeric reference style; updated bibliography.
  • Reduce the file size of the screen-optimised PDF at the cost
    of a slight decrease of the quality of some figures.
  • The print-optimised PDF now uses selective rasterisation
    of parts of figures, not whole pages containing them.
    This should result in a much better quality of the printed
    version.
  • Bug fixes.
  • Minor extensions, including:
    {command}pandas.Series.dt.strftime,
    more details how to avoid pitfalls in data frame indexing,
    etc.

datawranglingpy_v1.0.2

• 2022-08-24 (v1.0.2):

  • First printed (softcover) version.
  • Fix page margins and headers.
  • Minor typesetting and other fixes.

datawranglingpy_v1.0.1

• 2022-08-12 (v1.0.1):

  • Cover.
  • Print version ready; ISBN 978-0-6455719-1-2 assigned.

datawranglingpy_v1.0.0

• 2022-07-16 (v1.0.0):

  • Preface complete.
  • Handling tied observations.
  • Plots look better when printed in black and white.
  • Exception handling.
  • File connections.
  • Other minor extensions and material reordering:
    more aggregation functions, pandas.unique,
    pandas.factorize, probability vectors
    representing binary categorical variables, etc.
  • Final proof-reading.

datawranglingpy_v0.5.1

• 2022-06-13 (v0.5.1):

  • The Kolmogorov–Smirnov Test (one and two sample).
  • The Pearson Chi-Squared Test (one and two sample and for independence).
  • Dealing with round-off and measurement errors.
  • Adding white noise (jitter).
  • Lambda expressions.
  • Matrices are iterable.

datawranglingpy_v0.4.1

• 2022-05-31 (v0.4.1):

  • The Rules.
  • Matrix multiplication, dot products.
  • Euclidean distance, few-nearest-neighbour and fixed-radius search.
  • Aggregation of multidimensional data.
  • Regression with k-nearest neighbours.
  • Least squares fitting of linear regression models.
  • Geometric transforms; orthonormal matrices.
  • SVD and dimensionality reduction/PCA.
  • Classification with k-nearest neighbours.
  • Clustering with k-means.
  • Text Processing and Regular Expression chapters were merged.
  • Unidimensional Data Aggregation and Transformation chapters were merged.
  • pandas.GroupBy objects are iterable.
  • Semitransparent histograms.
  • Contour plots.
  • Argument unpacking and variadic arguments (*args, **kwargs).

datawranglingpy_v0.3.1

• 2022-05-23 (v0.3.1):

  • More lightweight mathematical notation.
  • Some equalities related to the mathematical functions we
    rely on (the natural logarithm, cosine, etc.).
  • A way to compute the most correlated pair of variables.
  • A note on modifying elements in an array and on adding new rows
    and columns.
  • An example seasonal plot in the time series chapter.
  • Solutions to the SQL exercises added; using
    {command}pd.testing.assert_frame_equal instead of
    {command}DataFrame.equals to ignore small round-off errors.
  • More details on file paths.

datawranglingpy_v0.2.1

• 2022-04-12 (v0.2.1):

  • Many chapters merged or relocated.
  • Added captions to all figures.
  • Improved formatting of elements (information boxes such as
    note, important, exercise, example).