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41

Desbordante: from benchmarking suite to high-performance science-intensive data profiler
Chernishev, George ; Polyntsov, Michael ; Chizhov, Anton ; et al.
Proceedings of the 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD). :234-243

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42

Building a Compiled Query Engine in Python
Shahrokhi, Hesam ; Shaikhha, Amir
Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction. :180-190

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43

Agile construction of data science DSLs (tool demo)
Andrzejak, Artur ; Kiefer, Kevin ; Costa, Diego Elias ; et al.
Proceedings of the 18th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences. :27-33

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44

Intrepydd: performance, productivity, and portability for data science application kernels
Zhou, Tong ; Shirako, Jun ; Jain, Anirudh ; et al.
Proceedings of the 2020 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software. :65-83

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45

Data Science and Knowledge Discovery
Portela, Filipe

crisis reporting chatbots journalists news media COVID-19 textbook research …
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46

HiPy: Extracting High-Level Semantics from Python Code for Data Processing
Jungmair, Michael ; Engelke, Alexis ; Giceva, Jana
Proceedings of the ACM on Programming Languages. 8(OOPSLA2):736-762

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47

Python Data Science Handbook by Jake Vanderplas (2016)
Alexis Eidelman
Statistique et société 8(2):45-47

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48

'I'm not sure, but...': Expert Practices that Enable Effective Code Comprehension in Data Science
Lum, Christopher ; Xu, Guoxuan ; Lau, Sam
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1. :729-735

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49

Two approaches to survival analysis of open source Python projects
Robinson, Derek ; Enns, Keanelek ; Koulecar, Neha ; et al.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension. :660-669

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50

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51

Importance and methods of data collection and data analysis using Python; precise principles and techniques of information processing and exploitation. 'The first volume'
Aryia Behroziuan

Panel data analysis Artificial intelligence... Data engineering and dat... data collection commence... data analysis corroborat... data analysis environmen... …
Buch
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52

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
Olson, Randal S. ; Bartley, Nathan ; Urbanowicz, Ryan J. ; et al.
Proceedings of the Genetic and Evolutionary Computation Conference 2016. :485-492

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53

An Empirical Study on the Energy Usage and Performance of Pandas and Polars Data Analysis Python Libraries
Nahrstedt, Felix ; Karmouche, Mehdi ; Bargieł, Karolina ; et al.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering. :58-68

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54

Facilitating Programming Success in Data Science Courses through Gamified Scaffolding and Learn2Mine
Anderson, Paul E. ; Nash, Thomas ; McCauley, Renée
Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education. :99-104

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56

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57

Teaching Programming for First-Year Data Science
Burridge, Joshua ; Fekete, Alan
Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1. :297-303

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58

DESIGNING FOR ETHICAL MATHEMATICS CONSCIOUSNESS: A SYNTHESIS OF FINDINGS FROM A DESIGN BASED RESEARCH PROJECT EXPLORING HOW EDUCATORS MAY DESIGN FOR STUDENTS' ETHICAL REASONING IN DATA SCIENCE.
Register, Jordan T.
Philosophy of Mathematics Education Journal. Feb2024, Issue 41, p1-39. 39p.

Moral reasoning Consciousness Data science Ethical decision making Normativity (Ethics) Technological progress …
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59

Collecting and Analyzing Public Data from Mastodon
Zia, Haris Bin ; Castro, Ignacio ; Tyson, Gareth
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. :5551-5553

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60

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