
Pandas Complete Notes: Python Data Analysis Made Simple
Published by SoftwareTestPilot
PDF • 20 pages • Notes • All Levels • Automation Testing
Published 11 October 2026 • Updated 11 October 2026
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20-slide pandas notes for testers: DataFrames, reading files, loc/iloc, filtering, cleaning, dates, groupby, merging, reshaping and using pandas for QA data checks.
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Overview
20-slide pandas notes for testers: DataFrames, reading files, loc/iloc, filtering, cleaning, dates, groupby, merging, reshaping and using pandas for QA data checks. Published by SoftwareTestPilot.
What you'll learn
- Create, read and export DataFrames from CSV, Excel and JSON
- Select and filter data with loc, iloc and conditions
- Clean missing values, duplicates, text and dates
- Group, merge and reshape data
- Use pandas to validate test data and reports
Topics covered
- automation-testing
Table of contents
- What is pandas?
- Create your first DataFrame
- Read and export files
- Inspect before you analyze
- Select with loc and iloc
- Filter rows
- Add, update and sort
- Data types and conversion
- Missing values
- Duplicates and data quality
- Clean text columns
- Work with dates and time
- Group and summarize
- Merge and concatenate
- Reshape with pivot and melt
- Transform and rolling windows
- Plot and export insights
- pandas for QA data checks
- Practice and better habits
Tools covered
- Python
- pandas
Skills covered
- Python
- Data Validation
Who this resource is for
- Automation Tester
- SDET
- Data/ETL Tester
Format and what you get
- A downloadable PDF you can read on phone or laptop.
- Included in the QA Notes Vault: one payment unlocks every note in the Vault, with lifetime access to it.
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