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Title | Scipy Lecture Notes — Scipy lecture |
Description | Navigation next Scipy lecture notes » Collapse document to compact view Edit Improve this page: Edit it on Github. Scipy Lecture Notes ¶ One document to l |
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WebSite | scipy-lectures.org |
Host IP | 185.199.108.153 |
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US$36,931,736
Last updated: 2023-04-27 00:28:26
scipy-lectures.org has Semrush global rank of 286,591. scipy-lectures.org has an estimated worth of US$ 36,931,736, based on its estimated Ads revenue. scipy-lectures.org receives approximately 4,261,355 unique visitors each day. Its web server is located in -, with IP address 185.199.108.153. According to SiteAdvisor, scipy-lectures.org is safe to visit. |
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scipy-lectures.org. | A | 10800 | IP: 185.199.108.153 |
scipy-lectures.org. | A | 10800 | IP: 185.199.110.153 |
scipy-lectures.org. | A | 10800 | IP: 185.199.109.153 |
scipy-lectures.org. | A | 10800 | IP: 185.199.111.153 |
scipy-lectures.org. | NS | 10800 | NS Record: ns-19-c.gandi.net. |
scipy-lectures.org. | NS | 10800 | NS Record: ns-206-a.gandi.net. |
scipy-lectures.org. | NS | 10800 | NS Record: ns-201-b.gandi.net. |
Navigation next Scipy lecture notes » Collapse document to compact view Edit Improve this page: Edit it on Github. Scipy Lecture Notes ¶ One document to learn numerics, science, and data with Python ¶ Download PDF, 2 pages per side PDF, 1 page per side HTML and example files Source code (github) Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert. Release: 2022.1 About the scipy lecture notes Authors What’s new License Contributing 1. Getting started with Python for science 1.1. Python scientific computing ecosystem 1.1.1. Why Python? 1.1.1.1. The scientist’s needs 1.1.1.2. Python’s strengths 1.1.1.3. How does Python compare to other solutions? Compiled languages: C, C++, Fortran… Matlab scripting language Julia Other scripting languages: Scilab, Octave, R, IDL, etc. Python 1.1.2. The Scientific Python |
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