Python For Accountants | AccountingPy | Accounting

Learn to use functions daily, pass arguments, and see how a function returns six. Explore x match with lookup value and array, and consider data types in Python.

Learn how to define and call functions in Python, pass and return arguments, and manage scope. Explore indentation, memory, and writing readable, single-task functions.

Explore the DuPont equation to calculate return on equity by building profit margin, asset turnover, and financial leverage functions, then combine them in a dictionary-driven workflow.

Explore how Python objects model data and behavior with an invoice object, detailing attributes like customer and due dates, and methods like calculate sales tax and email invoice.

Create objects from a class template using init, access attributes with dot notation, and call methods to process data, illustrated by an invoice example.

Master Python if statements by using true or false conditions, colon and indentation, then apply else and elif with operators like ==, >, < and >= in accounting contexts.

Master for loops in Python for accountants, learning to iterate over lists, dictionaries and tuples, unpack tuples, access items, keys, values, and use range for repetition.

Explore Python while loops, including how to prevent infinite runs with time.sleep and conditions. Implement loop control with break, continue, and pass, and use else and f-strings for dynamic output.

Analyze balance sheet and profit and loss in Python to apply Dupont equation using beginning balances. Export CSV to stabilize columns, and work in Jupiter notebook to organize functions.

Master the flow of financials by importing modules, setting directories, and loading balance sheets (January–March) to validate variables and prepare for a Dupont analysis and chart-of-accounts work.

Create a Python script to capture total income, cost of goods sold, net income, and net sales, and track advertising, depreciation, wages, and interest expense with variables and lists.

Learn to analyze a profit and loss statement in Python by locating total income and cost of goods sold, mapping accounts with the chart of accounts, and building dynamic code.

Turn total income into a dictionary, assign each account a row index, and use that index to fetch monthly totals like June from the profit loss data.

Apply the Dupont equation to financial statements by mapping accounts, iterating months with for loops, and updating net income, net sales, and balance sheet figures.

Learn to map balance sheet accounts in Python, compute total assets and equity, and troubleshoot data structures and month-based indexing to print the DuPont equation monthly.

Analyze financial data with Python by converting string values to floats, building a list of lists for csv and csfi reports, and printing calculated percentages for monthly analysis.

Build a Python-based financial analysis workflow by creating an analysis file, using a writer to append rows, and generating a full analysis from a basic profit and loss.