{"repo":"weisscharlesj/SciCompforChemists","free":true,"listed":false,"github":"https://github.com/weisscharlesj/SciCompforChemists","clone":"git clone https://github.com/weisscharlesj/SciCompforChemists.git","description":"Scientific Computing for Chemists with Python is a free book for teaching basic coding skills to chemists using Python, Jupyter notebooks, and the other Python software. This textbook teaches a variety of Python packages including NumPy, SciPy, matplotlib, pandas, seaborn, nmrglue, SymPy, scikit-image, scikit-learn, and others.","language":"Jupyter Notebook","stars":335,"topics":["chemists","scipy","numpy","python","jupyterlab","jupyter-notebooks","chemistry","computing","scientific-computing","chemical"],"license":null,"category":"analytics","readme_excerpt":"Scientific Computing for Chemists with Python An Introduction to Programming in Python with Chemical Applications The following is the textbook used for the Scientific Computing for Chemists course intended to teach chemists and chemistry students basic computer programming in Python and Jupyter Notebooks and advanced tools for the processing, visualization, and analysis of digital data. This book serves as an introduction to coding for chemists. Read Scientific Computing for Chemists with Python (Jupyter Book) A chapter outline is provided below. This book starts with a streamlined introduction to Python for chemists followed by the introduction of powerful computing tools and numerous applications to chemistry. This book assumes that the student or reader has no prior programming experience and has at least one year of undergraduate chemistry background and ideally some very basic spectroscopy/spectrometry (i.e., NMR, IR, UV-vis, and GC/MS) background. All software used (e.g., Python, NumPy, SciPy, etc.) is free and open source software and runs on macOS, Windows, and Linux. This book is periodically updated to fix typos, account for new software versions, and add new content. The most recent version can be viewed using the link above, downloaded, or forked using Git or GitHub. Reports of errors and information on how people are using this book are always welcome. The book is copyright © 2017-2026 Charles J. Weiss and is released under the CC BY-NC-SA 4.0 license. All files","default_branch":null,"files":null,"tree":[],"storefront":"/r/weisscharlesj","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/weisscharlesj/SciCompforChemists/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}