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4 Answers. Sorted by: 43. Use numpy.concatenate: >>> import numpy as np. >>> np.concatenate((A, B)) matrix([[ 1., 2.], [ 3., 4.], [ 5., 6.]]) answered Nov 24, 2013 at 19:59.
Jul 16, 2023 · Splitting and Merging PDF Files. Adding Watermarks to PDF Files. Encrypting and Decrypting PDF Files. Rotating PDF Pages. Conclusion. 1. Introduction to PyPDF2. PyPDF2 is an open-source...
- Tushar Aggarwal
Basic Example. from pypdf import PdfWriter merger = PdfWriter() for pdf in ["file1.pdf", "file2.pdf", "file3.pdf"]: merger.append(pdf) merger.write("merged-pdf.pdf") merger.close() For more details, see an excellent answer on StackOverflow by Paul Rooney. Showing more merging options.
Apr 6, 2023 · Multi-dimensional arrays are a powerful and important data structure in Python. They allow us to store and manipulate large amounts of data efficiently. In this article, we have covered the basics of creating and manipulating multi-dimensional arrays using NumPy in Python.
NumPy matrices allow us to perform matrix operations, such as matrix multiplication, inverse, and transpose.A matrix is a two-dimensional data structure where numbers are arranged into rows and columns.
Jan 2, 2023 · This article taught us how to work with matrices in Python using the NumPy library. We saw how to create matrices, access their elements, and perform various operations on Data Science
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Aug 17, 2023 · PyPDF2 is a pure-Python library capable of splitting, merging, cropping, and transforming the pages of PDF files. It can also add custom data, viewing options, and passwords to PDF files. PyPDF2 can retrieve text and metadata from PDFs as well, making it a comprehensive tool for PDF manipulation.