Why should you as a Data Scientist care about Software Engineering concepts?  Here we'll cover specific Software Engineering concepts and how these important ideas can revolutionize your Data Science workflow!

Python, data science, & software engineering

The big ideas

Python modularity in the wild

Introduction to packages & documentation

Installing packages with pip

Leveraging documentation

Conventions and PEP 8

Using pycodestyle

Conforming to PEP 8

PEP 8 in documentation

Software Engineering & Data Science

Become a fully fledged Python package developer by writing your first package!  You'll learn how to structure and write Python code that you can be installed, used, and distributed just like famous packages such as NumPy and Pandas.

Writing your first package

Minimal package requirements

Naming packages

Recognizing packages

Adding functionality to packages

Adding functionality to your package

Using your package's new functionality

Making your package portable

Writing requirements.txt

Installing package requirements

Creating setup.py

Listing requirements in setup.py

Writing a Python Module

Object Oriented Programming is a staple of Python development.  By leveraging classes and inheritance your Python package will become a much more powerful tool for your users.

Adding classes to a package

Writing a class for your package

Using your package's class

Adding functionality to classes

Writing a non-public method

Using your class's functionality

Classes and the DRY principle

Using inheritance to create a class

Adding functionality to a child class

Using your child class

Multilevel inheritance

Exploring with dir and help

Creating a grandchild class

Using inherited methods

Utilizing Classes

You've now written a fully functional Python package for text analysis!  To make maintaining your project as easy as possible we'll leverage best practices around concepts such as documentation and unit testing.

Documentatie

Goede comments herkennen

De juiste docstrings herkennen

Docstrings schrijven

Leesbaarheid telt

Goede functienamen gebruiken

Goede variabelenamen gebruiken

Refactoren voor leesbaarheid

Unittesten

Doctest gebruiken

pytest gebruiken

Documentatie en testen in de praktijk

Klassen documenteren voor Sphinx

Hulpmiddelen herkennen

Tot slot

Maintainability

Data scientists profiteren enorm van concepten uit software engineering. Zo kun je je code makkelijker hergebruiken en delen met anderen. In deze cursus leer je alles over modulariteit, documentatie en geautomatiseerd testen, en zie je hoe deze ideeën je helpen Data Science-problemen sneller op te lossen op een manier waar je toekomstige zelf blij van wordt. Je past je nieuwe software-engineeringvaardigheden zelfs toe door je eigen Python-pakket te schrijven voor tekstanalyse.

Introduction to Functions in Python

Leer over modulariteit, documentatie en geautomatiseerd testen voor snellere en betrouwbare oplossingen.

Software-engineeringprincipes in Python

Leer over modulariteit, documentatie en geautomatiseerd testen om je te helpen data science problemen sneller en betrouwbaarder op te lossen.

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Data-engineer in Python

Python programmeren

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Software-engineeringprincipes in Python

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