The Virtuous Content Cycle for Developer Advocates
This post explains how to scale developer advocacy by creating content in a way that answers current user questions and makes it easier to generate additional content in the future. Developer...
View ArticleDevRel Driven Development
DevRel Driven Development is driving software development from developer advocacy activities like creating documentation, writing blog posts, and producing videos. Developers advocates frequently...
View ArticleConvert streaming CSV data to Delta Lake with different latency requirements
This blog post explains how to incrementally convert streaming CSV data into Delta Lake with different latency requirements. A streaming CSV data source is used because it’s easy to demo, but the...
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Install PySpark, Delta Lake, and Jupyter Notebooks on Mac with conda
This blog post explains how to install PySpark, Delta Lake, and Jupyter Notebooks on a Mac. This setup will let you easily run Delta Lake computations on your local machine in a Jupyter notebook for...
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Ultra-cheap international real estate markets in 2022
This post explains how to identify ultra-cheap international real estate markets and when you can capitalize on deeply discounted prices. Let’s borrow Andrew Henderson’s definition of an ultra-cheap...
View ArticleRead multiple CSVs into pandas DataFrame
This post explains how to read multiple CSVs into a pandas DataFrame. pandas filesystem APIs make it easy to load multiple files stored in a single directory or in nested directories. Other Python...
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Scale big data pandas workflows with Dask
pandas is a great DataFrame library for datasets that fit comfortably in memory, but throws out of memory exceptions for datasets that are too large. This post shows how pandas works well for a small...
View ArticleWriting NumPy Array to Text Files
This post explains the different ways to save a NumPy array to text files. After showing the different syntax options the post will teach you some better ways to write NumPy data: using binary file...
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Content creators making more than $50,000 a month
This post demonstrates how much money you can make as a content creator and contrasts the content creation and restaurant business models. Content creators can make a lot of money and enjoy a nice...
View ArticleReading Delta Lakes into Dask DataFrames
This post explains how to read Delta Lakes into Dask DataFrames. It shows how you can leverage powerful data lake management features like time travel, versioned data, and schema evolution with Dask....
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Add Category Column to pandas DataFrame with cut
This post explains how to add a category column to a pandas DataFrame with cut(). cut makes it easy to categorize numerical values in buckets. Let’s look at a a DataFrame of people and categorize them...
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Managing Dask Software Environments with Conda
This post shows you how to set up conda on your machine and explains why it’s the best way to manage software environments for Dask projects. This blog post says that Python projects should be set up...
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Splitting Large CSV files with Python
This blog post demonstrates different approaches for splitting a large CSV file into smaller CSV files and outlines the costs / benefits of the different approaches. TL;DR It’s faster to split a CSV...
View Article7 Steps for rejecting meeting invites
Meetings are the main way to kill your productivity as a creative professional. Two strategically timed meetings can eliminate your makers hours for an entire day. Rejecting meeting invites to protect...
View ArticleSelf Publishing High Quality Programming Books
This post describes a workflow for self publishing programming books that readers will love. Writing a book seems like a daunting task, but it’s less intimidating if each chapter is “pre-published” as...
View ArticleReading Delta Lakes into pandas DataFrames
This post explains how to read Delta Lakes into pandas DataFrames. The delta-rs library makes this incredibly easy and doesn’t require any Spark dependencies. Let’s look at some simple examples,...
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Testing Pandas Code
This post explains how to test Pandas code with the built-in test helper methods and with the beavis functions that give more readable error messages. Unit testing helps you write Pandas code that...
View ArticleWorking with PySpark ArrayType Columns
This post explains how to create DataFrames with ArrayType columns and how to perform common data processing operations. Array columns are one of the most useful column types, but they’re hard for...
View ArticleDefining PySpark Schemas with StructType and StructField
This post explains how to define PySpark schemas and when this design pattern is useful. It’ll also explain when defining schemas seems wise, but can actually be safely avoided. Schemas are often...
View ArticleRenaming Columns in Pandas DataFrames
This article explains how to rename a single or multiple columns in a Pandas DataFrame. There are multiple different ways to rename columns and you’ll often want to perform this operation, so listen...
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