Python automation for real office workflows
Python Doc & Data Automation
Replace repetitive document and data chores with practical scripts, reusable patterns, and production-minded walkthroughs.
Core tracks
Automating Document & Data Pipelines
Wire PDF extraction, pandas transformation, and Excel/Word/PDF generation into one scheduled, logged, idempotent Python pipeline that runs unattended end to end.
Automating PDF Extraction & Generation
End-to-end Python architecture for extracting tables and text from PDFs, transforming the data, consolidating multi-file inputs, and generating reports at scale.
Python for Excel & CSV Data Processing
Replace manual spreadsheet workflows with reliable Python automation. Covers pandas, openpyxl, xlsxwriter, the csv module, and BI-ready export pipelines.
Fresh guides
Automating Document & Data Pipelines
Wire PDF extraction, pandas transformation, and Excel/Word/PDF generation into one scheduled, logged, idempotent Python pipeline that runs unattended end to end.
Extracting PDF Data into pandas
Turn PDF tables and text into clean pandas DataFrames using pdfplumber and camelot. Covers extraction, dtype normalization, date/currency parsing, and per-page concat.
Handle Multi-Page PDF Tables in pandas
Fix duplicated header rows and misaligned columns when a PDF table spans multiple pages. Drop repeated headers, standardize columns, and concat with ignore_index=True.
Generating Reports from Pipeline Data
Turn a cleaned pandas DataFrame into Excel workbooks, Word summaries, and PDF reports in one pass — fan-out templating, per-segment splitting, and validated output naming.
Scheduling and Logging Automation Jobs
Run document and data pipelines unattended with cron, Windows Task Scheduler, GitHub Actions, and the schedule library; add structured logging, retries, and failure alerts.
Automating PDF Extraction & Generation
End-to-end Python architecture for extracting tables and text from PDFs, transforming the data, consolidating multi-file inputs, and generating reports at scale.