| import os | |
| from PyPDF2 import PdfFileReader, PdfFileWriter | |
| orig = input("enter path to file:\n") | |
| pages_at_a_time = int(input('how many pages per file?\n')) | |
| path, filename = os.path.split(orig) | |
| path += '\\split' | |
| filename = filename[:-4] |
This is meant to be an ongoing list of software alternatives I've evaluated, the pros and cons of each, and which I ultimately favored. It's mostly meant to remind me why I did or didn't switch so that I don't waste time re-evaluating in the future when I get annoyed by a bug or UI issue in the one that I chose. In case this helps others, I've posted it here too.
Winner: GoodNotes, for now
GoodNotes
| ######## | |
| # This code is useful for combining many GPX files, each with a single <trk>, into | |
| # a single GPX file containing one <trk> that has one <trkseg> per input GPX file. | |
| # | |
| # This is necessary for animating GPX files using GPX Animator: https://gpx-animator.app/ | |
| ######## | |
| import shutil | |
| import glob | |
| from datetime import datetime |
| ############################## | |
| # Script to autorotate all images in a directory based on EXIF data. | |
| # Background: iOS devices have a bad habit of saving images with a rotation stored in the | |
| # EXIF data, which is ignored by other applications, resulting in these images | |
| # looking rotated 90 degrees or 270 degrees in many apps. This fixes that. | |
| ## CAREFUL - this removes the EXIF information like date taken | |
| ############################## | |
| from PIL import Image, ExifTags | |
| import glob | |
| import os.path |
| from comments_downloader import CommentsDownloader: | |
| downloader = CommentsDownloader(api_key="DEMO_KEY") |
| downloader.gather_comments_by_docket("FDA-2021-N-0270", db_filename="my_database.db", csv_filename="my_csv.csv") |
| my_dockets = ["FDA-2009-N-0501", "EERE-2019-BT-STD-0036", "NHTSA-2019-0121"] | |
| for docket_id in my_dockets: | |
| print(f"\n********************************\nSTARTING {docket_id}\n********************************") | |
| downloader.gather_comments_by_docket(docket_id, db_filename="my_database2.db") | |
| print("\nDONE") |
| for docket_id in docket_ids: | |
| params = {"filter[docketId]": docket_id} | |
| downloader.gather_headers("documents", params, csv_filename="EPA_water_documents.csv") |
| for object_id in object_ids: # taken from EPA_water_documents.csv | |
| params = {"filter[commentOnId]": object_id} | |
| downloader.gather_headers("comments", params, csv_filename="EPA_water_comments_header.csv") |
| # download the comments | |
| comment_ids = downloader.get_ids_from_csv("EPA_water_comments_header.csv", data_type="comments") | |
| downloader.gather_details("comments", comment_ids, csv_filename="EPA_water_comments.csv") |