EBOOK

About
Learn to add your own handy functions to Excel using Python and other coding tools in this practical, accessible primer written for first-time programmers.
Excel is a mainstay of the modern workplace, but it isn't up to every task. Python for Excel Users offers a better way, showing how relatively simple programming can greatly boost productivity by streamlining workflows and adding new tools to the reader's toolbox - no programming experience required. Uses include:
• Generating beautiful data visualizations
• Creating interactive reports and dashboards
• Tracking collaborative projects
This book leverages what readers already know about Excel to introduce useful coding applications. Practical examples illustrate how programming skills can be immediately applied to the reader's day-to-day work. Tracy Stephens is a quantitative developer based in New York City. Her experience includes building systematic trading strategies at some of the world's top financial institutions. A long-time Python evangelist, she focuses on designing quantitative infrastructure that's flexible, explainable, and efficient---when she can successfully keep her one-eyed tuxedo cat off her keyboard.
Excel is a mainstay of the modern workplace, but it isn't up to every task. Python for Excel Users offers a better way, showing how relatively simple programming can greatly boost productivity by streamlining workflows and adding new tools to the reader's toolbox - no programming experience required. Uses include:
• Generating beautiful data visualizations
• Creating interactive reports and dashboards
• Tracking collaborative projects
This book leverages what readers already know about Excel to introduce useful coding applications. Practical examples illustrate how programming skills can be immediately applied to the reader's day-to-day work. Tracy Stephens is a quantitative developer based in New York City. Her experience includes building systematic trading strategies at some of the world's top financial institutions. A long-time Python evangelist, she focuses on designing quantitative infrastructure that's flexible, explainable, and efficient---when she can successfully keep her one-eyed tuxedo cat off her keyboard.