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HTTP Status Code 200
HTTP Version HTTP/1.1
HTTPS ✔ Available
IP Address 75.2.60.5
Server Software Netlify
Compression gzip
ℹ 🔵 Missing Content Security Policy CSP is not configured. It helps prevent XSS attacks and content injection.
ℹ 🔵 Missing X-Frame-Options The site can be embedded in iframes by third parties (clickjacking risk).
Performance
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HTTPS ✔ Enabled
HSTS ✔ max-age=31536000
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HTTP/2 ⚠ HTTP/1.1
SEO Quick Check
| Title | SciPy |
| Meta Description | Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source. |
| Twitter Card | summary_large_image |
| Twitter Title | SciPy |
| Twitter Description | Fundamental algorithms SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems. Broadly applicable The algorithms and data structures provided by SciPy are broadly applicable across domains. Foundational Extends NumPy providing additional tools for array computing and provides specialized data structures, such as sparse matrices and k-dimensional trees. Performant SciPy wraps highly-optimized implementations written in low-level languages like Fortran, C, and C++. Enjoy the flexibility of Python with the speed of compiled code. Easy to use SciPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. Open source Distributed under a liberal BSD license, SciPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community. |
| Twitter Image | https://scipy.org/images/logo.svg |
Title SciPy Meta Description Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source. Twitter Card summary_large_image Twitter Title SciPy Twitter Description Fundamental algorithms SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems. Broadly applicable The algorithms and data structures provided by SciPy are broadly applicable across domains. Foundational Extends NumPy providing additional tools for array computing and provides specialized data structures, such as sparse matrices and k-dimensional trees. Performant SciPy wraps highly-optimized implementations written in low-level languages like Fortran, C, and C++. Enjoy the flexibility of Python with the speed of compiled code. Easy to use SciPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. Open source Distributed under a liberal BSD license, SciPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community. Twitter Image https://scipy.org/images/logo.svg Detected Technologies
| Technology | Bootstrap Google Analytics Cloudflare |
Technology Bootstrap Google Analytics Cloudflare
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