The Python Book for Accountants
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Start automating.
A hands-on guide that takes you from zero Python to automating real accounting workflows. Built around eight accounting datasets and the tools professionals actually use.
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What you'll build
By the end of the book, you'll be running real accounting work in Python — not toy exercises. Here's a taste.
Clean messy SAP exports in minutes
Drop the point-and-click dance. A few lines of pandas turn a raw export into the shape you actually need.
import pandas as pd
ledger = pd.read_excel("sap_export.xlsx")
ledger = (ledger
.dropna(subset=["Account"])
.assign(Amount=lambda df: df["Amount"].abs())
.query("Status == 'Posted'"))
ledger.to_excel("clean_ledger.xlsx", index=False)Automate month-end workbook compilation
Stitch dozens of sheets into one reconciled workbook — the same way, every month, without a single copy-paste.
from pathlib import Path
import pandas as pd
files = Path("month_end").glob("*.xlsx")
books = [pd.read_excel(f) for f in files]
combined = pd.concat(books, ignore_index=True)
combined.to_excel("month_end_consolidated.xlsx")Work with files Excel can't even open
Excel caps out at ~1M rows. Python is limited by your machine, not by a spreadsheet format from 2007.
import pandas as pd
txns = pd.read_csv("transactions_5M_rows.csv")
by_region = (txns
.groupby("region")["amount"]
.sum()
.sort_values(ascending=False))
print(by_region.head())Build charts that update themselves
Describe the chart you want once in code. Re-run it against new data and get the same perfectly-styled plot.
import pandas as pd
import matplotlib.pyplot as plt
cash_flow = pd.read_excel("cash_flow.xlsx")
cash_flow.plot.bar(x="month", y="net", color="#4F46E5")
plt.title("Monthly net cash flow")
plt.tight_layout()
plt.savefig("cash_flow.png", dpi=200)What readers are saying
I recently landed an awesome role at an accounting consulting firm. A big reason why I landed it was because I knew Python, which I learned from your book! Thanks for creating such a valuable resource, it was tremendously helpful.
Gotta hand it to you and your team – you've done an awesome job! I've checked out a couple of Python books for accounting and finance before, and yours stands out for its easy-to-understand explanations.
What's inside
The 395-page book, 8 real accounting datasets, an interactive notebook for every chapter, a one-click remote workspace, and a private Discord.
The Book
A hands-on guide to Python and its data science tools focused on accounting tasks and data, spread across 300+ pages. The book takes you on a four-part journey:
The Projects & Data
Most Python tutorials are too vague for accounting. Python for Accounting teaches you how to use Python to work with real-world accounting data. We'll walk you through five hands-on projects:
Get your copy
Choose the package that works for you.
The Complete Guide
- The 395-page book in PDF format
- All 8 accounting datasets
- Interactive coding notebook for each chapter
- One-click remote workspace access
- Discord community access
- All first edition updates
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The Essential Guide
- The 395-page book in PDF format
- All 8 accounting datasets
- Interactive coding notebook for each chapter
Powered by GumroadMeet the authors
Over seven years of experience in data analytics and data science. Previously at Microsoft, J.P. Morgan Chase, and several UK startups.
Over seven years of business and finance experience. M.A. in Business Economics and M.Sc. in Quantitative Finance.