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The Quick and Easy Way to Analyze Numpy Arrays

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The quickest and easiest way to analyze NumPy arrays is by using the numpy.array() method. This method allows you to quickly and easily analyze the values contained in a numpy array. This method can also be used to find the sum, mean, standard deviation, max, min, and other useful analysis of the value contained within a numpy array. Sum You can find the sum of Numpy arrays using the np.sum() function.  For example:  import numpy as np  a = np.array([1,2,3,4,5])  b = np.array([6,7,8,9,10])  result = np.sum([a,b])  print(result)  # Output will be 55 Mean You can find the mean of a Numpy array using the np.mean() function. This function takes in an array as an argument and returns the mean of all the values in the array.  For example, the mean of a Numpy array of [1,2,3,4,5] would be  result = np.mean([1,2,3,4,5])  print(result)  #Output: 3.0 Standard Deviation To find the standard deviation of a Numpy array, you can use the NumPy std() function. This function takes in an array as a par
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5 Things Mainframe Programmers Must Know About NetCOBOL

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NetCOBOL is an open platform COBOL development environment which takes advantage of the features of mainframe COBOL. It is ready for the latest technology and a state-of-the-art environment as well. NetCOBOL is a trademark or registered trademark of Fujitsu Limited.
NetCOBOL
NetCOBOL

NetCOBOL

  • It is available in both 32 bit and 64 bit 
  • Net COBOL claims compatibility with other COBOL Compilers like VS COBOL, OS/VS COBOL and Micro Focus COBOL. 
  • Provides a debugger and complete integrated development environment(IDE) with COBOL. 
  • Provides IP tools like Power COBOL (These tools help Developer to build Windows biased GUI Apps) and PowerBsort. 
  • It supports databases like Microsoft SQL Server, Oracle, and Pervasive SQL. 
  • Claims to support native SQL Calls “EXEC SQL” within Net COBOL. 
  • It supports Betrive Files as well. 
  • Support Both Modern IDE (Eclipse Plugins for Linux and VS IDE plug-in for Windows) 
  • Linux Version of Net COBOL also supports JAVA, C, C++, and Python. 
  • Windows Version of Net COBOL also supports .net. 
  • It also supports Unicode Code set. 
  • It also supports Object-Oriented COBOL.
Platforms for NetCOBOL:
  1. Windows – Net COBOL for Windows
  2. Linux(RHEL6) - Net COBOL for Linux
  3. SPARC – Net COBOL for SPARC
  4. Cloud (Microsoft’s Azure) - COBOL for .net

Features

  1. NetCOBOL complies with International Standard, industry standard specifications, and ordinary standard specifications, which enables stable operation and expansion of key system for the future. Existing skills on COBOL and know-how of mainframes help you a lot.
  2. "NetCOBOL Studio," a COBOL development environment based on Eclipse which is an open-source integrated development environment, has been built into NetCOBOL for Windows, and Microsoft "Visual Studio" has been built into NetCOBOL for .NET as a development environment for .NET Framework. 
  3. COBOL Integrated Development Environment (IDE) allows the improvement of efficiency of the whole development process including design, programming, testing, and maintenance. It enables program development linking with the latest technologies from batch to Web applications. 
  4. NetCOBOL is suitable to use with the latest technologies such as .NET, Java, and XML.
  5. The "PowerBSORT" speeds up sorting and merging the data. 

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