improved literature background

Author: thomasWeise

bibliography/bibliography.bib

@@ -26,6 +26,7 @@ @string { a_archibald_anne_m
 @string { a_back_ralph_johan = "Ralph{-}Johan Back" }
 @string { a_barham_paul = "Paul Barham" }
 @string { a_beazley_david_m = "David M.\ Beazley" }
+@string { a_ben_david_shai = "Shai Ben{-}David" }
 @string { a_berg_sebastian = "Sebastian Berg" }
 @string { a_beuke_fabian = "Fabian Beuke" }
 @string { a_blin_kai = "Kai Blin" }
@@ -63,6 +64,7 @@ @string { a_gommers_ralf
 @string { a_gramfort_alexandre = "Alexandre Gramfort" }
 @string { a_grendell_lina = "Linda Grandell" }
 @string { a_grisel_olivier = "Olivier Grisel" }
+@string { a_grus_joel = "Joel Grus" }
 @string { a_haberland_matt = "Matt Haberland" }
 @string { a_haldane_allan = "Allan Haldane" }
 @string { a_harris_charles_r = "Charles R.\ Harris" }
@@ -94,6 +96,7 @@ @string { a_murray_derek_gordon
 @string { a_negus_christopher = "Christopher Negus" }
 @string { a_nelson_andrew_r_j = "Andrew R.\ J.\ Nelson" }
 @string { a_nguyen_quan = "Quan Nguyen" }
+@string { a_norvig_peter = "Peter Norvig" }
 @string { a_oliphant_travis_e = "Travis E.\ Oliphant" }
 @string { a_paquete_luis = "Lu{\'i}s Paquete" }
 @string { a_passos_alexandre = "Alexandre Passos" }
@@ -111,9 +114,11 @@ @string { a_quinter_ea
 @string { a_reddy_tyler = "Tyler Reddy" }
 @string { a_ribeiro_antonio_h = "Ant{\^o}nio H.\ Ribeiro" }
 @string { a_roscoe_timothy = "Timothy Roscoe" }
+@string { a_russel_stuart = "Stuart J.\ Russell" }
 @string { a_sachsenberg_timo = "Timo Sachsenberg" }
 @string { a_salakoski_tapio = "Tapio Salakoski" }
 @string { a_scipy_1 = "{{SciPy 1.0 Contributors}}" }
+@string { a_shalev_shwartz_shai = "Shai Shalev{-}Shwartz" }
 @string { a_sheppart_kevin = "Kevin Sheppard" }
 @string { a_silva_sara = "Sara Silva" }
 @string { a_skoulikari_anna = "Anna Skoulikari" }
@@ -152,6 +157,7 @@ @string { a_wu_zhize
 @string { a_xiong_peng = "Peng Xiong" }
 @string { a_yu_yuan = "Yuan Yu" }
 @string { a_zheng_xiaoqiang = "Xiaoqiang Zheng" }
+@string { a_zinoviev_dimitry = "Dmitry Zinoviev" }
 
 
 %% locations
@@ -394,6 +400,16 @@ @book{CN2020ULB
  xdata = {ser_bs},
 }
 
+@book{G2019DSFSFPWP,
+ author = a_grus_joel,
+ title = {Data Science from Scratch: First Principles with Python},
+ edition = {2},
+ date = {2019-05},
+ publisher = p_oreilly,
+ address = pa_oreilly,
+ isbn = {9781492041139},
+}
+
 @inproceedings{GPBS2006WCTIPIHSUP,
  author = a_grendell_lina # and # a_peltomaeki_mia # and # a_back_ralph_johan # and # a_salakoski_tapio,
  title = {Why complicate things? Introducing Programming in High School using \python},
@@ -488,6 +504,17 @@ @article{PVGMTGBPWDVPCBPD2011SMLIP
  doi = {10.5555/1953048.2078195},
 }
 
+@book{RN2022AIAMA,
+ author = a_russel_stuart # and # a_norvig_peter,
+ title = {Artificial Intelligence: A Modern Approach~({AIMA})},
+ edition = {4},
+ isbn = {978-1-292-40113-3},
+ publisher = p_pearson_education,
+ address = pa_pearson_education,
+ url = {https://aima.cs.berkeley.edu},
+ urldate = {2024-06-27},
+}
+
 @book{S2023LG,
  author = a_skoulikari_anna,
  title = {Learning \git},
@@ -497,6 +524,17 @@ @book{S2023LG
  address = pa_oreilly
 }
 
+@book{SSBD2014UMLFTTA,
+ author = a_shalev_shwartz_shai # and # a_ben_david_shai,
+ title = {Understanding Machine Learning: From Theory to Algorithms},
+ date = {2014-07},
+ publisher = p_cambridge_uni_press_ass,
+ address = pa_cambridge_uni_press_ass,
+ isbn = {1107057132},
+ url = {http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning},
+ urldate = {2024-06-27},
+}
+
 @article{T1999TLE,
  author = a_torvalds_linus,
  title = {The Linux Edge},
@@ -557,3 +595,15 @@ @inproceedings{WW2023RSDEWASSAA
  pages = {1891--1899},
  doi = {10.1145/3583133.3596306},
 }
+
+@techreport{Z2024DESIEWS,
+ author = a_zinoviev_dimitry,
+ title = {Discrete Event Simulation: It's Easy with \simpy!},
+ xdata = {rep_arxiv_corr},
+ number = {abs/2405.01562},
+ date = {2024-04-03},
+ url = {https://arxiv.org/abs/2405.01562},
+ urldate = {2024-06-27},
+ doi = {10.48550/ARXIV.2405.01562},
+ note = {\mbox{arXiv:2405.01562v1} \mbox{[cs.MS]} \mbox{3 Apr 2024}}
+}

notation/acronyms.sty

@@ -2,10 +2,10 @@
 %%% The acronyms.
 %%%
 %
-\newacronym{AI}{AI}{Artificial Intelligence}%
-\newacronym{DS}{DS}{Data Science}%
+\newacronym[description={Artificial Intelligence, see, e.g.,~\cite{RN2022AIAMA}}]{AI}{AI}{Artificial Intelligence}%
+\newacronym[description={Data Science, see, e.g.,~\cite{G2019DSFSFPWP}}]{DS}{DS}{Data Science}%
 \newacronym[description={Integrated Development Environment, see \gls{ide}}]{IDE}{IDE}{Integrated Development Environment}%
-\newacronym{ML}{ML}{Machine Learning}%
+\newacronym[description={Machine Learning, see, e.g.,~\cite{SSBD2014UMLFTTA}}]{ML}{ML}{Machine Learning}%
 \newacronym[description={Operating System, the system that runs your computer, see, e.g., \linux\ and \windows}]{OS}{OS}{Operating System}%
 \newacronym[description={Version Control Systems, see \gls{vcs}}]{VCS}{VCS}{Version Control Systems}%
 %

notation/software.sty

@@ -101,6 +101,16 @@ Learn more at \url{https://scipy.org}.}
 }%
 \protected\gdef\scipy{\pgls{scipy}}%
 %
+%
+\newglossaryentry{simpy}{%
+name={\softwareStyle{SimPy}},
+sort={SimPY},
+description={is a \python\ library for discrete event simulation~\cite{Z2024DESIEWS}. %
+Learn more at \url{https://www.sympy.org/}.}
+}%
+\protected\gdef\simpy{\pgls{simpy}}%
+%
+
 %
 \newglossaryentry{tensorflow}{%
 name={\softwareStyle{TensorFlow}},

text/main/introduction/whyPython/whyPython.tex

@@ -14,10 +14,10 @@
 First, \python\ is one of the most successful and widely used programming languages~\cite{CBST2024LOHPPTDDSAMLA}.
 We plot the number of pushes to \github\ over time for the most popular programming and web development languages in \cref{fig:languagesByGithubPushes}.
 We find that \python\ became the leading languages at some point in 2018.
-\python\ is intensely used in the fields of \pgls{AI}, \pgls{ML}, and \pgls{DS}~\cite{CBST2024LOHPPTDDSAMLA} as well as optimization, which are among the most important areas of future technology.
+\python\ is intensely used~\cite{CBST2024LOHPPTDDSAMLA} in the fields of \pgls{AI}~\cite{RN2022AIAMA}, \pgls{ML}~\cite{SSBD2014UMLFTTA}, and \pgls{DS}~\cite{G2019DSFSFPWP} as well as optimization, which are among the most important areas of future technology.
 If you will do programming in any future employment or research position, chances are that \python\ knowledge will be useful.
 
-Second, there exists a very large set of powerful libraries supporting both research and application development in these fields, including \numpy~\cite{HMvdWGVCWTBSKPHvKBHFdRWPGMSRWAGO2020APWN}, \pandas~\cite{B2012DPWP}, \scikitlearn~\cite{PVGMTGBPWDVPCBPD2011SMLIP}, \scipy~\cite{VGOHRCBPWBvdWBWMMNJKLCPFMVLPCHQHARPvMS2020SFAFSCIP}, \tensorflow~\cite{ABCCDDDGIIKLMMMSTVWWYZ2016TASFLSML}, \matplotlib~\cite{H2007MA2GE}, and \moptipy~\cite{WW2023RSDEWASSAA}\footnote{Yes, I list \moptipy\ here, next to very well-known and widely-used frameworks, because I am its developer.}, just to name a few.
+Second, there exists a very large set of powerful libraries supporting both research and application development in these fields, including \numpy~\cite{HMvdWGVCWTBSKPHvKBHFdRWPGMSRWAGO2020APWN}, \pandas~\cite{B2012DPWP}, \scikitlearn~\cite{PVGMTGBPWDVPCBPD2011SMLIP}, \scipy~\cite{VGOHRCBPWBvdWBWMMNJKLCPFMVLPCHQHARPvMS2020SFAFSCIP}, \tensorflow~\cite{ABCCDDDGIIKLMMMSTVWWYZ2016TASFLSML}, \matplotlib~\cite{H2007MA2GE}, \simpy~\cite{Z2024DESIEWS}, and \moptipy~\cite{WW2023RSDEWASSAA}\footnote{Yes, I list \moptipy\ here, next to very well-known and widely-used frameworks, because I am its developer.}, just to name a few.
 This means that for many tasks, you can find suitable and efficient \python\ libraries that support your work.
 
 Third, \python\ is very easy to learn~\cite{GPBS2006WCTIPIHSUP,VR1999CPFERPASEFTPOT}.