Full-stack software engineer with a focus on building data-intensive dynamic applications. Active contributor to open-source software.

Tutorials by Brad:

• Securely Deploy a Django App With Gunicorn, Nginx, & HTTPS
• What Are Python Wheels and Why Should You Care?
• Learn IP Address Concepts With Python's ipaddress Module
• Pandas GroupBy: Your Guide to Grouping Data in Python
• How to Use Redis With Python
• Python Logging: A Stroll Through the Source Code
• Unicode & Character Encodings in Python: A Painless Guide
• Async IO in Python: A Complete Walkthrough
• Python Pandas: Tricks & Features You May Not Know
• Generating Random Data in Python (Guide)
• Python Histogram Plotting: NumPy, Matplotlib, Pandas & Seaborn
• Look Ma, No For-Loops: Array Programming With NumPy
• Python Plotting With Matplotlib (Guide)

Tutorials Brad Contributed to:

• The Walrus Operator: Python 3.8 Assignment Expressions
• Build a Blog Using Django, Vue, and GraphQL
• Sentiment Analysis: First Steps With Python's NLTK Library
• Python mmap: Improved File I/O With Memory Mapping
• Customize the Django Admin With Python
• Python import: Advanced Techniques and Tips
• Hands-On Linear Programming: Optimization With Python
• SettingWithCopyWarning in Pandas: Views vs Copies
• How to Write an Installable Django App
• Python vs JavaScript for Pythonistas
• Exploring HTTPS With Python
• Using Pandas and Python to Explore Your Dataset
• Preventing SQL Injection Attacks With Python
• Getting Started With Async Features in Python
• An Effective Python Environment: Making Yourself at Home
• What You Need to Know to Manage Users in Django Admin
• NumPy arange(): How to Use np.arange()
• Pointers in Python: What's the Point?
• Defining Main Functions in Python
• Python KeyError Exceptions and How to Handle Them
• A Beginner’s Guide to the Python time Module
• How to Work With a PDF in Python
• What Is Pip? A Guide for New Pythonistas
• An Intro to Threading in Python
• Managing Multiple Python Versions With pyenv
• Python’s Requests Library (Guide)
• Speed Up Your Python Program With Concurrency
• Python Type Checking (Guide)
• Modeling Polymorphism in Django With Python
• How to Write Beautiful Python Code With PEP 8
• Sending Emails With Python
• Continuous Integration With Python: An Introduction
• Writing Comments in Python (Guide)
• Setting Up Python for Machine Learning on Windows
• Practical Text Classification With Python and Keras
• Python, Boto3, and AWS S3: Demystified
• Splitting, Concatenating, and Joining Strings in Python
• The Best Python Books
• Conditional Statements in Python
• Primer on Python Decorators
• The Ultimate Guide to Django Redirects
• Socket Programming in Python (Guide)
• Fast, Flexible, Easy and Intuitive: How to Speed Up Your Pandas Projects
• Itertools in Python 3, By Example
• Pure Python vs NumPy vs TensorFlow Performance Comparison
• Pythonic Data Cleaning With Pandas and NumPy
• Unicode in Python: Working With Character Encodings (Course)
• Python Plotting With Matplotlib (Course)
• Python Histogram Plotting: NumPy, Matplotlib, Pandas & Seaborn (Course)
• Generating Random Data in Python (Course)
• Hands-On Python 3 Concurrency With the asyncio Module (Course)
• Idiomatic Pandas: Tricks & Features You May Not Know (Course)