Series of Jupyter Notebooks Using Python for an Analytical Chemistry Course
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| Titel: | Series of Jupyter Notebooks Using Python for an Analytical Chemistry Course |
|---|---|
| Sprache: | English |
| Autoren: | Menke, Erik J. (ORCID |
| Quelle: | Journal of Chemical Education. Oct 2020 97(10):3899-3903. |
| Verfügbarkeit: | Division of Chemical Education, Inc. and ACS Publications Division of the American Chemical Society. 1155 Sixteenth Street NW, Washington, DC 20036. Tel: 800-227-5558; Tel: 202-872-4600; e-mail: eic@jce.acs.org; Web site: http://pubs.acs.org/jchemeduc |
| Peer Reviewed: | Y |
| Page Count: | 5 |
| Publikationsdatum: | 2020 |
| Publikationsart: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Science Instruction, Chemistry, College Science, Undergraduate Study, Computer Assisted Instruction, Electronic Learning, Programming Languages, Teaching Methods, Open Source Technology, Student Journals, Scientific Concepts |
| DOI: | 10.1021/acs.jchemed.9b01131 |
| ISSN: | 0021-9584 |
| Abstract: | UC Merced's upper-division analytical chemistry course has been modified to include a series of Jupyter notebooks intended to introduce chemistry students to the Python computer language. These Jupyter notebooks were designed to cover a wide variety of topics common to quantitative and instrumental analysis. Assuming no prior programming experience, the notebooks are scaffolded to introduce students the Python's syntax while applying Python to solving chemical problems. Jupyter and Python were chosen because they are free, widely available, and widely used. |
| Abstractor: | As Provided |
| Entry Date: | 2020 |
| Dokumentencode: | EJ1277309 |
| Datenbank: | ERIC |
Nájsť tento článok vo Web of Science | Abstract: | UC Merced's upper-division analytical chemistry course has been modified to include a series of Jupyter notebooks intended to introduce chemistry students to the Python computer language. These Jupyter notebooks were designed to cover a wide variety of topics common to quantitative and instrumental analysis. Assuming no prior programming experience, the notebooks are scaffolded to introduce students the Python's syntax while applying Python to solving chemical problems. Jupyter and Python were chosen because they are free, widely available, and widely used. |
|---|---|
| ISSN: | 0021-9584 |
| DOI: | 10.1021/acs.jchemed.9b01131 |