Automate with Python with ChatGPT Advanced Data Analytics

Automate text formatting by converting the first letter of every sentence to uppercase across multiple text files using the code interpreter, including uploading, zipping, extracting, and re-archiving bulk files.

Convert multiple text files from a zip into word or pdf formats by uploading the archive, parsing each text file, and exporting a zip of the results for download.

Batch process multiple Excel files with code interpreter to add a market value column (price multiplied by quantity) across a zip of files, compressing updated files into a new zip.

Join multiple excel files with the same columns into a single excel file by unzipping a zip archive, loading each file into Pandas data frames, and concatenating them.

Learn to batch-process large CSV portfolios by zipping, uploading, and unzipping multiple stock files, then add a market value column computed from price and quantity using pandas.

Learn to automate rule-based zip generation using Python with code interpreter: unzip, ignore Mac OS X directories, and zip screenshots by date into separate archives; apply to other file types.

Create pivot tables in Excel using the code interpreter to sum totals by gender across product lines, setting gender as index, product line as columns, and exporting the result.

Learn to automate creating Word reports from Excel data by extracting each row into a template with an h1 title and bold fields, then generate formatted documents in bulk.

Learn to extract tables from websites with Python by saving pages as HTML, uploading them for parsing, and exporting tables as CSV or a zip file using BeautifulSoup and pandas.

Explore data visualizations and analysis of Netflix data using the ChatGPT code interpreter, including Kaggle datasets, reading CSV with pandas, plotting histograms of movie durations, and computing mean duration.

Plot a line graph of Netflix content added over the years, highlighting a rise from 2015 onward, then generate a pink bar graph with axis labels and explore other visualizations.

Learn to automate video editing by merging two videos using the ChatGPT code interpreter, including zipping, uploading, extracting, and specifying video order for a smooth merge.

Create a gif from a video using default settings, with an option to specify a time range, then download and view the looping gif in a browser.

Use code interpreter to track faces in a video by processing each frame, detecting faces, and highlighting them with rectangles. Note limitations like choppiness and visual interference.

Resize images with a code interpreter, scaling to 50% and producing a downloadable resized images zip, with options to tailor sizes for platforms like Instagram or Twitter.

Automate adding watermarks to images using code interpreter, distributing translucent text across each image to indicate ownership and customize font, color, and placement.

Use the code interpreter to scrape Amazon pages by saving html, uploading it, and extracting product names and prices with BeautifulSoup, handling missing prices as null, and exporting to csv.

Generate qr codes in bulk from a list of urls by uploading a text file, looping through each url, and saving as png images for download or zip delivery.