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Kurs

Software Engineering Principles in Python

Fortgeschrittener Anfänger

Updated 12.2024

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

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PythonSoftwareentwicklung4 Stunden15 Videos51 Übungen4,100 XP48,309Leistungsnachweis

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Kursbeschreibung

Data scientists can experience huge benefits by learning concepts from the field of software engineering, allowing them to more easily reutilize their code and share it with collaborators. In this course, you'll learn all about the important ideas of modularity, documentation, & automated testing, and you'll see how they can help you solve Data Science problems quicker and in a way that will make future you happy. You'll even get to use your acquired software engineering chops to write your very own Python package for performing text analytics.

Voraussetzungen

Introduction to Functions in Python

1

Software Engineering & Data Science

Kapitel starten

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

2

Writing a Python Module

Kapitel starten

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

3

Utilizing Classes

Kapitel starten

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

4

Maintainability

Kapitel starten

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

Software Engineering Principles in Python

Kurs
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