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  1. Deploy ML on mobile, microcontrollers and other edge devices. TFX. Build production ML pipelines. All libraries. Create advanced models and extend TensorFlow. RESOURCES. Models & datasets. Pre-trained models and datasets built by Google and the community.

  2. Utilities for working with image data, text data, and sequence data. - keras-team/keras-preprocessing

  3. 6 gru 2014 · This script allows users to convert one or multiple images into a PDF file. It utilizes the FPDF library for PDF generation and Pillow (PIL) for image handling.

  4. Embedding images, including transparency and alpha channel. Arbitrary path drawing and basic SVG import. Embedding barcodes, charts & graphs, emojis, symbols & dingbats. Tables and also cell / multi-cell / plaintext writing, with automatic page breaks, line break and text justification.

  5. Image 1 — Sample of generated data (image by author) And that’s it — you now have a function that generates dummy sales data. Let’s see how to visualize it next.

  6. In this tutorial, you'll explore the different ways of creating and modifying PDF files in Python. You'll learn how to read and extract text, merge and concatenate files, crop and rotate pages, encrypt and decrypt files, and even create PDFs from scratch.

  7. pypdf is a free and open source pure-python PDF 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. pypdf can retrieve text and metadata from PDFs as well.

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