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The Microsoft Windows platform specific Cryptographic Application Programming Interface (also known variously as CryptoAPI, Microsoft Cryptography API, MS-CAPI or simply CAPI) is an application programming interface included with Microsoft Windows operating systems that provides services to enable developers to secure Windows-based applications using cryptography.
PyCrypto – The Python Cryptography Toolkit PyCrypto, extended in PyCryptoDome; keyczar – Cryptography Toolkit keyczar; M2Crypto – M2Crypto is the most complete OpenSSL wrapper for Python. Cryptography – Python library which exposes cryptographic recipes and primitives. PyNaCl – Python binding for libSodium (NaCl)
Nuitka (pronounced as / n juː t k ʌ / [2]) is a source-to-source compiler which compiles Python code to C source code, applying some compile-time optimizations in the process such as constant folding and propagation, built-in call prediction, type inference, and conditional statement execution.
This table denotes, if a cryptography library provides the technical requisites for FIPS 140, and the status of their FIPS 140 certification (according to NIST's CMVP search, [27] modules in process list [28] and implementation under test list).
the Python function urandom in the os module, which uses /dev/urandom on Unix-like systems, calls CryptGenRandom on Windows systems. [ 15 ] the SunMSCAPI JCA provider available with OpenJDK and Oracle distributions of the JRE on Windows provides a SecureRandom implementation with the algorithm name Windows-PRNG.
In Microsoft Windows, a Cryptographic Service Provider (CSP) is a software library that implements the Microsoft CryptoAPI (CAPI). CSPs implement encoding and decoding functions, which computer application programs may use, for example, to implement strong user authentication or for secure email.
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series .
It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.