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23 cze 2022 · In short, Python has great capabilities for scientific research. More specialized languages like Fortran might be better suited to certain projects, but Python remains a powerful and versatile option. Below, we’ll explore cutting-edge Python use-cases in a few scientific disciplines.
The presentation builds on first principles and geometric intuition, while offering real-world examples, commented implementations in Python, and computational exercises. I expect this book to become a key resource for students and researchers.
While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects. In this course, after first reviewing the basics of Python 3, we learn about tools commonly used in research settings.
Beginners Need A Small End-to-End Project. Books and courses are frustrating. They give you lots of recipes and snippets, but you never get to see how they all fit together. When you are applying machine learning to your own datasets, you are working on a project.
4 paź 2021 · 1. Know the fundamental data science libraries. Knowing the right libraries can be the difference between staring hopelessly at spreadsheets and rapidly getting insights and visualizations from a dataset.
25 mar 2024 · Apply prompt engineering techniques to a practical, real-world example. Use numbered steps, delimiters, and few-shot prompting to improve your results. Understand and use chain-of-thought prompting to add more context. Tap into the power of roles in messages to go beyond using singular role prompts.
Python-based project designed to sift through thousands of compounds from the ChEMBL database to identify molecular attributes influencing success in the different clinical trial phases.
