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.

Je eerste package schrijven

Minimale pakketvereisten

Pakketten een naam geven

Packages herkennen

Functionaliteit toevoegen aan packages

Functionaliteit toevoegen aan je package

De nieuwe functionaliteit van je package gebruiken

Je pakket draagbaar maken

requirements.txt schrijven

Pakketvereisten installeren

setup.py maken

Vereisten opnemen 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.

Documentation

Identifying good comments

Identifying proper docstrings

Writing docstrings

Readability counts

Using good function names

Using good variable names

Refactoring for readability

Unit testing

Using doctest

Using pytest

Documentation & testing in practice

Documenting classes for Sphinx

Identifying tools

Final Thoughts

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.

Minimale pakketvereisten

Software-engineeringprincipes in Python

Praktische interactieve oefening