If you’re writing Python code in a Jupyter notebook that is eventually going to be used in production, it’s sensible to consider how long it takes to run. This is...
Pandas method chaining, or flow programming, is a modern, but sometimes controversial way of structuring Pandas code into a structured chain or series of commands. Conceptually, Pandas chaining is a...
The .gitignore file is a special file added to a Git repository to define the files and directories you do not wish to commit to your Git repository. This is...
If you want to change careers and move into the data science or data mining field, as either a data scientist or a data engineer, or simply improve your skills,...
DRY, or Don’t Repeat Yourself, and the “Do One Thing” methodology are designed to help software engineers and data scientists create better functions. Code that isn’t written using DRY tends...
The flexibility of programming languages like Python means that any code you write to tackle a given problem will differ in approach and style to code written by someone else....
Git is the world’s most widely used version control system and is an essential tool for data scientists, especially those collaborating on projects with others. You’ll need to be able...
Docstrings are comment blocks that are added to the top of Python functions to explain the purpose of the function, describe the arguments that it accepts, and explain what the...
Google Cloud Functions make it easy to deploy Python data science applications and models in the cloud as serverless applications. Since it’s inevitable that these applications need to access sensitive...
Like most people who work in ecommerce data science, I regularly need to access data stored in a database - usually MySQL or MariaDB, but sometimes also MSSQL. Although it...
How many times have you struggled to get Python packages like TensorFlow, Keras, or PyTorch working together? How many times have you downloaded code or shared yours with others only...
When you use pip to install Python packages from The Python Package Index (PyPi) they get stored in your site-packages directory and are used across your system whenever you run...
