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About Python for People Who Work with Data About People

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A from-zero coding path for someone who already works with lists of candidates, companies, and contacts in spreadsheets. Start at installing Python and end able to write a script that pulls records from an API, cleans messy names and titles, joins two sources, removes duplicates, and hands back a file you can trust — with the privacy and verification habits that working with data about real people demands.

Estimated Time to Complete

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What You'll Learn

Concepts:
The List Type in Python Reading and Writing CSV Files in Python Consuming Paginated REST APIs in Python Reading Python Exception Tracebacks String Fundamentals in Python Python Variable Assignment and Naming Writing Tests for a Data Cleaning Function in Python Boolean Values and Comparison Operators in Python Indexing and Negative Indexing in Python Pandas Groupby Aggregation Functions Sum Mean Count Python Scripts versus the Interactive Interpreter Software Engineering Discipline for AI-Assisted Vibe Coding Structuring a Reusable Script with a Main Function in Python Fuzzy String Matching for Name and Company Deduplication in Python Dictionaries for Key Value Records in Python Installing a Python Interpreter and Running a Script from the Terminal Reading CSV Files into Pandas DataFrames Function Parameters Return Values and Scope in Python Python if, elif, and else Conditional Execution Making HTTP Requests with the Requests Library in Python Regular Expressions (Regex) Fundamentals String Methods for Cleaning Messy Text Fields in Python Installing Packages with pip Inside a Virtual Environment List Slicing in Python Defining Functions with def in Python Numeric Types and Arithmetic Operators in Python For-Loop Iteration Over Iterables in Python Handling Personally Identifiable Information in Python Scripts Deduplicating and Normalizing Records with pandas Parsing and Producing JSON in Python Merging and Joining Datasets in pandas Working with Dates and Times in Python Filtering Rows and Selecting Columns in pandas Handling Exceptions with try and except in Python

What you will learn

No introduction video available

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