Development

.gitignore

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+# direnv configuration file
+.envrc
+
+# editor backup files
+*~
+*.bak
+
+# checkpoint directory
+.ipynb_checkpoints/

README.md

@@ -1,3 +1,3 @@
-# Python-for-programmers
+# Python for programmers
 
 Repository for participants of the "Python for programmers" training

environment.yml

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+name: python_for_programmers
+channels:
+  - defaults
+dependencies:
+  - python
+  - jupyterlab
+  - matplotlib
+prefix: /home/gjb/miniconda3/envs/python_for_programmers

python_for_programmers_linux64_conda_specs.txt

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+# This file may be used to create an environment using:
+# $ conda create --name <env> --file <this file>
+# platform: linux-64
+@EXPLICIT
+https://repo.anaconda.com/pkgs/main/linux-64/_libgcc_mutex-0.1-main.conda
+https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-mkl.conda
+https://repo.anaconda.com/pkgs/main/linux-64/ca-certificates-2022.4.26-h06a4308_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/intel-openmp-2021.4.0-h06a4308_3561.conda
+https://repo.anaconda.com/pkgs/main/linux-64/ld_impl_linux-64-2.38-h1181459_1.conda
+https://repo.anaconda.com/pkgs/main/linux-64/libstdcxx-ng-11.2.0-h1234567_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/tzdata-2022a-hda174b7_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/libgomp-11.2.0-h1234567_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/mkl-2021.4.0-h06a4308_640.conda
+https://repo.anaconda.com/pkgs/main/linux-64/_openmp_mutex-5.1-1_gnu.conda
+https://repo.anaconda.com/pkgs/main/linux-64/libgcc-ng-11.2.0-h1234567_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/brotli-1.0.9-he6710b0_2.conda
+https://repo.anaconda.com/pkgs/main/linux-64/bzip2-1.0.8-h7b6447c_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/expat-2.4.4-h295c915_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/giflib-5.2.1-h7b6447c_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/icu-58.2-he6710b0_3.conda
+https://repo.anaconda.com/pkgs/main/linux-64/jpeg-9e-h7f8727e_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/libffi-3.3-he6710b0_2.conda
+https://repo.anaconda.com/pkgs/main/linux-64/libsodium-1.0.18-h7b6447c_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/libuuid-1.0.3-h7f8727e_2.conda
+https://repo.anaconda.com/pkgs/main/linux-64/libwebp-base-1.2.2-h7f8727e_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/libxcb-1.15-h7f8727e_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/lz4-c-1.9.3-h295c915_1.conda
+https://repo.anaconda.com/pkgs/main/linux-64/ncurses-6.3-h7f8727e_2.conda
+https://repo.anaconda.com/pkgs/main/linux-64/openssl-1.1.1o-h7f8727e_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/pcre-8.45-h295c915_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/xz-5.2.5-h7f8727e_1.conda
+https://repo.anaconda.com/pkgs/main/linux-64/zlib-1.2.12-h7f8727e_2.conda
+https://repo.anaconda.com/pkgs/main/linux-64/glib-2.69.1-h4ff587b_1.conda
+https://repo.anaconda.com/pkgs/main/linux-64/libpng-1.6.37-hbc83047_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/libxml2-2.9.12-h74e7548_2.conda
+https://repo.anaconda.com/pkgs/main/linux-64/readline-8.1.2-h7f8727e_1.conda
+https://repo.anaconda.com/pkgs/main/linux-64/tk-8.6.11-h1ccaba5_1.conda
+https://repo.anaconda.com/pkgs/main/linux-64/zeromq-4.3.4-h2531618_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/zstd-1.5.2-ha4553b6_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/dbus-1.13.18-hb2f20db_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/freetype-2.11.0-h70c0345_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/gstreamer-1.14.0-h28cd5cc_2.conda
+https://repo.anaconda.com/pkgs/main/linux-64/libtiff-4.2.0-h2818925_1.conda
+https://repo.anaconda.com/pkgs/main/linux-64/sqlite-3.38.3-hc218d9a_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/fontconfig-2.13.1-h6c09931_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/gst-plugins-base-1.14.0-h8213a91_2.conda
+https://repo.anaconda.com/pkgs/main/linux-64/lcms2-2.12-h3be6417_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/libwebp-1.2.2-h55f646e_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/python-3.10.4-h12debd9_0.tar.bz2
+https://repo.anaconda.com/pkgs/main/noarch/attrs-21.4.0-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/backcall-0.2.0-pyhd3eb1b0_0.tar.bz2
+https://repo.anaconda.com/pkgs/main/linux-64/certifi-2022.5.18.1-py310h06a4308_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/charset-normalizer-2.0.4-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/cycler-0.11.0-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/debugpy-1.5.1-py310h295c915_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/decorator-5.1.1-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/defusedxml-0.7.1-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/entrypoints-0.4-py310h06a4308_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/executing-0.8.3-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/idna-3.3-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/ipython_genutils-0.2.0-pyhd3eb1b0_1.conda
+https://repo.anaconda.com/pkgs/main/noarch/json5-0.9.6-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/kiwisolver-1.3.1-py310h295c915_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/markupsafe-2.0.1-py310h7f8727e_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/mistune-0.8.4-py310h7f8727e_1000.conda
+https://repo.anaconda.com/pkgs/main/noarch/munkres-1.1.4-py_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/nest-asyncio-1.5.5-py310h06a4308_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/pandocfilters-1.5.0-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/parso-0.8.3-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/pickleshare-0.7.5-pyhd3eb1b0_1003.conda
+https://repo.anaconda.com/pkgs/main/linux-64/pillow-9.0.1-py310h22f2fdc_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/prometheus_client-0.13.1-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/ptyprocess-0.7.0-pyhd3eb1b0_2.conda
+https://repo.anaconda.com/pkgs/main/noarch/pure_eval-0.2.2-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/pycparser-2.21-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/pygments-2.11.2-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/pyparsing-3.0.4-pyhd3eb1b0_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/pyrsistent-0.18.0-py310h7f8727e_0.conda
+https://repo.anaconda.com/pkgs/main/linux-64/pysocks-1.7.1-py310h06a4308_0.conda
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+https://repo.anaconda.com/pkgs/main/noarch/pytz-2021.3-pyhd3eb1b0_0.conda
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+https://repo.anaconda.com/pkgs/main/linux-64/qt-5.9.7-h5867ecd_1.conda
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+https://repo.anaconda.com/pkgs/main/noarch/wheel-0.37.1-pyhd3eb1b0_0.conda
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+https://repo.anaconda.com/pkgs/main/linux-64/jedi-0.18.1-py310h06a4308_1.conda
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source_code/.gitignore

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+.ipynb_checkpoints/

source_code/README.md

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+# # Source code
+
+Code samples for in the presentation, or provided as extra material, illustrating
+certain subtle points.
+
+## What is it?
+
+1. `coins.ipynb`: change a sum of money into coinage, comparing a brute force
+   approach to recursion, memoization and dynamic programming.
+1. `condorcet_voting.ipynb`: implementation of Condorcet voting.
+1. `counterintuiive.ipynb`: some example of counter-intuitive performance results.
+1. `dHondt_method.ipynb`: assigning seats in gremia according to the number of votes.
+1. `dice.ipynb`: modelling throwing two dice and visualizng the results.
+1. `dynamic_programming.ipynb`: some illustrations of using memoization and
+   dynamic programming to efficiently solve mathematical problems.
+1. generations.ipynb`: searching for the most recent common ancestor and the
+  identical ancestor generation.
+1. `hundred_prisoners.ipynb`: implementation of the solution to the "hundred
+   prisoners` puzzle.
+1. `islands.ipynb`: identify "islands" in a 2D sea.
+1. `josephus.ipynb`: solving the Josephus problem; various implementations are
+   compared for performance.
+1. `kaprekar.ipynb`: compute the Kaprekar number.
+1. `neighborhoods.ipynb` and '`game.png`: computing the hairiness of neighborhoods.
+1. `one_liners.ipynb`: implementatin of a variety of problems as Python one-liners;
+   this is for sport, not production.
+1. `survival.ipynb`: study populatoin sizes in terms of procreation rates.
+1. `structural_pattern_matching.ipynb`: example of structural pattern matching
+   (requires Python 3.10+).
+1. `welford_algorithm.ipynb`: implementation of WellFord's algorithm to compute an
+   estimate for the standard deviation of a data stream.
+1. `word_chains.ipynb`: create word chains out of a list of words so that the first
+   letter of a word is the same as the last letter of the previous.  Search for the
+   longest chain.
+1. `knights_tour.ipynb`: example of using backtracking to solve the knight's tour
+   problem.
+1. `flatten.ipynb`: `itertools.chain` may not flatten a data structure as you might
+   expect or want.