{"repo":"Lastoria-Royal-College-of-Science/Chem-18","free":true,"listed":false,"github":"https://github.com/Lastoria-Royal-College-of-Science/Chem-18","clone":"git clone https://github.com/Lastoria-Royal-College-of-Science/Chem-18.git","description":"Introductory data science for modern chemists.","language":"Jupyter Notebook","stars":33,"topics":["chemistry","data-analysis","data-visualization","chemoinformatics"],"license":null,"category":"analytics","readme_excerpt":"Chem 18: Introductory Data Science for Modern Chemists Please read this description before taking this course o(｀ω´ )o Welcome to Chem 18: Introductory Data Science for Modern Chemists! In this course, you will learn how to use modern computational tools – particularly the Python programming language – to process, analyze, and display data. As chemists, data is at the heart of your work: it supports your hypotheses, validates your findings, and helps you communicate your results effectively. Being able to process and visualize data clearly is an essential skill for the future of chemical research. This course is designed as a self-paced, interactive tutorial. You will work through these Jupyter Notebooks on your own, learning by doing. Many of the concepts will feel familiar, and you'll discover that data processing is not as difficult as it may first seem. Our goal is to make the learning process efficient for both you and us, while giving you practical skills you can apply immediately in your studies and research. Ensure you have set up your environment as described in the setup instruction. If you still encounter any problem or want to contribute to the course, please see the contributing guideline. It is HIGHLY recommended to download the dated zip file in the latest release, but NOT clone the whole repo! The source code may contain partially filled code cells, which contradicts our idea that you should type and run the code YOURSELF . Typing and running the code yourself","default_branch":null,"files":null,"tree":[],"storefront":"/r/Lastoria-Royal-College-of-Science","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Lastoria-Royal-College-of-Science/Chem-18/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."}