• Pandas,  Python

    Pandas: Python Data Analysis Library

    Pandas is a fast, powerful, flexible, and easy to use open-source data analysis and manipulation tool, built on top of the Python programming language. Data analysis one of the first most job in machine learning and more used by data scientists. Panda library is designed and developed by “Wes Mckinney” which is initial released in Jan 2008. The features of this library are. Generating random DataFrame and manipulation with index. In bult tools to read and write the data between memory data structure and different file formats. Data Preprocessing like handling missing data, data alignment and dropping columns etc. Merging and Splitting data base. Hierarchical axis indexing to work with high-dimensional…

  • NumPy,  Python

    NumPy

    Python is one of the powerful language used for machine learning, Data Science, Hardware interaction problems like IoT, etc. The NumPy is one of the python libraries that provides the adding support of large multi-dimensional arrays and matrix along with the large collection of the high-level mathematical functions to operate the array and matrix. The NumPy stands for Numerical Python is created by Travis Oliphant in 2005. The following chart contains some of the array and matrix operations.   NumPy commands Comments 1. Import numpy as py NumPy library connection 2. x0 = np.array(12) Create a Scalar array for range(0-12) 3. x0.ndim Print the Dimension (Rank) of the Scalar 4.…