Introduction to numpy for beginnersGetting StartedNumpy arrays / vectorsAccessing elementsCreating a Matrixndarray attributesreshape ( ) functionManually adding new elements to arraysappend( ) functionAdding rows and Columns to a matrixSELECTING ELEMENTS / SLICINGFinding the max and min values , Calculating Average, Variance and Standard deviationTransposing a vector or a MatrixFinding the DeterminantGetting the Diagonal of a MatrixCalculating the trace of a MatrixInverting a MatrixAdding, Subtracting and Multiplying MatricesCreating a Sparse Matrix using scipy libraryGenerating Random valuesBroadcastingnp.zeros ( (m,n) )np.eye( n )
QR What is Numpy
【中古】 現場で使える!NumPyデータ処理入門 機械学習・データサイエンスで役立つ高速処理手法 AI & TECHNOLOGY/吉田拓真(著者),尾原颯(著者)
NumPyによるデータ分析入門 配列操作、線形代数、機械学習のためのPythonプログラミング [ Umit Mert Cakmak ]
NumPy Illustrated: The Visual Guide to NumPyNumpy Array vs. Python List1. Vectors, the 1D Arrays2. Matrices, the 2D Arrays3. 3D and AboveReferencesLicense
Python NumPy Crash Course – How to Build N-Dimensional Arrays for Machine LearningIntroduction to NymPyInstallationWorking with NumPySummary