The goal of this course is to transform you into a Python expert, and so the first chapter starts off with best practices when writing functions. You'll cover docstrings and why they matter and how to know when you need to turn a chunk of code into a function. You will also learn the details of how Python passes arguments to functions, as well as some common gotchas that can cause debugging headaches when calling functions.

Docstrings

Crafting a docstring

Retrieving docstrings

Docstrings to the rescue!

DRY and "Do One Thing"

Extract a function

Split up a function

Pass by assignment

Mutable or immutable?

Best practice for default arguments

Best Practices

If you've ever seen the "with" keyword in Python and wondered what its deal was, then this is the chapter for you! Context managers are a convenient way to provide connections in Python and guarantee that those connections get cleaned up when you are done using them. This chapter will show you how to use context managers, as well as how to write your own.

Using context managers

The number of cats

The speed of cats

Writing context managers

The timer() context manager

A read-only open() context manager

Advanced topics

Context manager use cases

Scraping the NASDAQ

Changing the working directory

Context Managers

Decorators are an extremely powerful concept in Python. They allow you to modify the behavior of a function without changing the code of the function itself. This chapter will lay the foundational concepts needed to thoroughly understand decorators (functions as objects, scope, and closures), and give you a good introduction into how decorators are used and defined. This deep dive into Python internals will set you up to be a superstar Pythonista.

Functions are objects

Building a command line data app

Reviewing your co-worker's code

Returning functions for a math game

Scope

Understanding scope

Modifying variables outside local scope

Closures

Checking for closure

Closures keep your values safe

Decorators

Using decorator syntax

Defining a decorator

Now that you understand how decorators work under the hood, this chapter gives you a bunch of real-world examples of when and how you would write decorators in your own code. You will also learn advanced decorator concepts like how to preserve the metadata of your decorated functions and how to write decorators that take arguments.

Contoh dunia nyata

Cetak tipe nilai kembalian

Penghitung

Decorator dan metadata

Mempertahankan docstring saat mendekorasi fungsi

Mengukur overhead dekorator

Dekorator yang menerima argumen

Run_n_times()

Generator HTML

Timeout(): contoh dunia nyata

Beri tag pada fungsi Anda

Periksa tipe nilai kembalian

Kerja bagus!

More on Decorators

Anda telah menyelesaikan analisis, membuat laporan, dan melatih sebuah model. Lalu apa selanjutnya? Jika Anda ingin menerapkan model ke produksi, kode Anda harus lebih andal dibandingkan skrip eksploratori di Jupyter notebook. Menulis Function di Python akan memberi Anda landasan kuat untuk menulis function yang kompleks dan elegan sehingga Anda bisa berkontribusi dengan keterampilan riset dan rekayasa dalam tim. Anda akan mempelajari trik bermanfaat, seperti cara menulis context manager dan decorator. Anda juga akan mempelajari praktik terbaik untuk menulis function yang dapat dipelihara dan digunakan kembali dengan dokumentasi yang baik. Katanya, orang yang mampu melakukan riset dengan baik dan menulis kode berkualitas tinggi adalah unicorn. Ikuti kursus ini dan temukan keajaibannya!

Python Toolbox

Pelajari praktik terbaik untuk menulis fungsi yang terjaga, dapat digunakan ulang, dan terdokumentasi baik.

Dekorator yang menerima argumen

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