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Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database. It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [ 1 ]
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.
PyCharm is an integrated development environment (IDE) used for programming in Python. It provides code analysis, a graphical debugger, an integrated unit tester, integration with version control systems, and supports web development with Django. PyCharm is developed by the Czech company JetBrains and built on their IntelliJ platform. [4]
Orange – A visual programming tool featuring interactive data visualization and methods for statistical data analysis, data mining, and machine learning. Pandas – Python library for data analysis. PAW – FORTRAN/C data analysis framework developed at CERN. R – A programming language and software environment for statistical computing and ...
The C Programming Language; C Traps and Pitfalls; C, The Complete Reference; Code: The Hidden Language of Computer Hardware and Software; Coders at Work; A Commentary on the UNIX Operating System; Concepts, Techniques, and Models of Computer Programming; Core Python Programming
[8] [9] As with Book 11, "The Earthly Things" of the Florentine Codex by Franciscan Bernardino de Sahagún, the Badianus manuscript gives the Nahuatl names of plants, an illustration of the example, and the uses for the plant. However, unlike the Florentine Codex, there is little emphasis on supernatural healing characteristics of the plants.
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Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...