Çalışma dizinini değiştirme

Verilerinde derin sinir ağları eğitmeni sağlayan açık kaynaklı bir kütüphane kullanıyorsun. Ne yazık ki eğitim sırasında bu kütüphane, kontrol noktası modellerini (yani verinin bir kısmıyla eğitilmiş modelleri) geçerli çalışma dizinine yazıyor. Bu davranış can sıkıcı, çünkü modellerin kaydedileceği dizinden betiği başlatmak zorunda kalmak istemiyorsun.

Bunu düzeltmenin bir yolu olarak, geçerli çalışma dizinini değiştiren, modellerini oluşturmanı sağlayan ve ardından çalışma dizinini eski konumuna sıfırlayan bir context manager yazmaya karar veriyorsun. Model eğitimi sırasında oluşabilecek hataların, çalışma dizinini eski konumuna sıfırlamana engel olmamasını sağlamalısın.

Bu egzersiz

Python'da Fonksiyon Yazımı

kursunun bir parçasıdır

Kursu Görüntüle

Egzersiz talimatları

Context içinde oluşabilecek hataları yakalayabilmek için bir ifade ekle.
Hata olsun ya da olmasın os.chdir(current_dir) çağrılmasını garanti eden bir ifade ekle.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

def in_dir(directory):
  """Change current working directory to `directory`,
  allow the user to run some code, and change back.

  Args:
    directory (str): The path to a directory to work in.
  """
  current_dir = os.getcwd()
  os.chdir(directory)

  # Add code that lets you handle errors
  ____:
    yield
  # Ensure the directory is reset,
  # whether there was an error or not
  ____:
    os.chdir(current_dir)

Kodu Düzenle ve Çalıştır

Bu egzersiz

Python'da Fonksiyon Yazımı

kursunun bir parçasıdır

IntermediárioNível de habilidade

4.8+

Kursa Ücretsiz Başlayın

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.

Exercise 1: Docstrings Exercise 2: Crafting a docstring Exercise 3: Retrieving docstrings Exercise 4: Docstrings to the rescue!Exercise 5: DRY and "Do One Thing"Exercise 6: Extract a function Exercise 7: Split up a function Exercise 8: Pass by assignment Exercise 9: Mutable or immutable?Exercise 10: Best practice for default arguments

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.

Exercise 1: Context manager'ları kullanmak Exercise 2: Kedilerin sayısı Exercise 3: Kedilerin hızı Exercise 4: Context manager yazma Exercise 5: timer() bağlam yöneticisi Exercise 6: Salt-okunur open() bağlam yöneticisi Exercise 7: İleri konular Exercise 8: Bağlam yöneticisi kullanım alanları Exercise 9: NASDAQ’ı kazıma Exercise 10: Çalışma dizinini değiştirme

Geçerli Egzersiz

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.

Exercise 1: Functions are objects Exercise 2: Building a command line data app Exercise 3: Reviewing your co-worker's code Exercise 4: Returning functions for a math game Exercise 5: Scope Exercise 6: Understanding scope Exercise 7: Modifying variables outside local scope Exercise 8: Closures Exercise 9: Checking for closure Exercise 10: Closures keep your values safe Exercise 11: Decorators Exercise 12: Using decorator syntax Exercise 13: 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.

Exercise 1: Real-world examples Exercise 2: Print the return type Exercise 3: Counter Exercise 4: Decorators and metadata Exercise 5: Preserving docstrings when decorating functions Exercise 6: Measuring decorator overhead Exercise 7: Decorators that take arguments Exercise 8: Run_n_times()Exercise 9: HTML Generator Exercise 10: Timeout(): a real world example Exercise 11: Tag your functions Exercise 12: Check the return type Exercise 13: Great job!