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| About
            Cython is an optimizing static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Cython gives you the combined power of Python and C to let you write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes. 
             | About
            IronPython is an open-source implementation of the Python programming language which is tightly integrated with .NET. IronPython can use .NET and Python libraries, and other .NET languages can use Python code just as easily. Experience a more interactive .NET and Python development experience with Python Tools for Visual Studio. IronPython is an excellent addition to .NET, providing Python developers with the power of the .NET. Existing .NET developers can also use IronPython as a fast and expressive scripting language for embedding, testing, or writing a new application from scratch. The CLR is a great platform for creating programming languages, and the DLR makes it all the better for dynamic languages. Also, the .NET (base class library, presentation foundation, etc.) gives developers an amazing amount of functionality and power. IronPython uses Python syntax and standard libraries and so your Python code will need to be updated accordingly. 
             | About
            Application development today is fraught with challenges like speed, scalability and quality which have relegated security to a post development consideration. Today, Application Security Testing (AST) is performed only in the final stages of the SDLC(Software Development Life Cycle) which is expensive, disruptive and inefficient. Today’s DevOps environments demand a low distraction security model which is integrated with product development. we45 helps product teams build an application security tooling framework that enables the identification and remediation of vulnerabilities within the development phase and ensure fewer security vulnerabilities in production. Security Automation from the get-go. Integrate AST(Application Security Testing) with Continuous Integration/Deployment platforms like Jenkins and perform security checks right from when the code is checked in.
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| Audience
        Users and developers requiring a static compiler for both Python and Cython programming languages
         | Audience
        Developers requiring a scripting language for embedding, testing, or writing new applications
         | Audience
        Development teams interested in an Application Security Testing (AST) solution
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| Company InformationCython United States cython.org | Company InformationIronPython ironpython.net | Company Informationwe45 Founded: 2010 United States we45.com/devsecops-solutions-we45/ | ||||
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         | Integrations
            
                
    Amazon Web Services (AWS)
            
            
         
            
                
    C
            
            
         
            
                
    C++
            
            
         
            
                
    Fortran
            
            
         
            
                
    Gensim
            
            
         
            
                
    Google Cloud Platform
            
            
         
            
                
    Kubernetes
            
            
         
            
                
    Microsoft Azure
            
            
         
            
                
    NumPy
            
            
         
            
                
    PyCharm
            
            
         | Integrations
            
                
    Amazon Web Services (AWS)
            
            
         
            
                
    C
            
            
         
            
                
    C++
            
            
         
            
                
    Fortran
            
            
         
            
                
    Gensim
            
            
         
            
                
    Google Cloud Platform
            
            
         
            
                
    Kubernetes
            
            
         
            
                
    Microsoft Azure
            
            
         
            
                
    NumPy
            
            
         
            
                
    PyCharm
            
            
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