Python HTTP Web Services - urllib, httplib2 Web scraping with Selenium for checking domain availability REST API: Http Requests for Humans with Flask Blog app with Tornado Multithreading. Python Network Programming I - Basic Server / Client: A Basics Python Network Programming I - Basic Server / Client: B File Transfer. Attaching the code and screenshot for reference: The sample code which I used to scrape genre is as follows: genretags=data.select('.text-muted.genre') genre= g.gettext for g in genretags Genre = item.strip for item in genre if str(genre) print(Genre) python web-scraping beautifulsoup.
Multithreading - Subclassing Thread
This code is scraping the data from IMDB and displays it in JSON or CSV format. I plan to extend it beyond the top rated movies. How can I improve the quality of my code? I am using Python 3.7.3.
Creating a thread and passing arguments to the thread
Identifying threads - naming and logging
Web Scraping Imdb Python Programming
Daemon thread & join() methodWeb Scraping In Python 3
Active threads & enumerate() method
Subclassing & overriding run() and __init__() methods
Timer objects
Event objects - set() & wait() methods
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Using locks in the with statement - context manager
Condition objects with producer and consumer
Producer and Consumer with Queue
Web Scraping Imdb Python Code
Semaphore objects & thread pool
Thread specific data - threading.local()
So far, we've been using a thread by instantiating the Thread class given by the package (threading.py). To create our own thread in Python, we'll want to make our class to work as a thread. For this, we should subclass our class from the Thread class.
First thing we need to do is to import Thread using the following code:
Then, we should subclass our class from the Thread class like this:
Just for reference, here is a code snippet from the package for the Thread class:
As a Thread starts up, it does some basic initialization and then calls its run() method, which calls the target function passed to the constructor. The Thread class represents an activity that runs in a separate thread of control. There are two ways to specify the activity:
- by passing a callable object to the constructor
- by overriding the run() method in a subclass
No other methods (except for the constructor) should be overridden in a subclass. In other words, we only override the __init__() and run() methods of a class.
In this section, we will create a subclass of Thread and override run() to do whatever is necessary:
Once a thread object is created, its activity must be started by calling the thread's start() method. This invokes the run() method in a separate thread of control.
Once the thread's activity is started, the thread is considered 'alive'. It stops being alive when its run() method terminates - either normally, or by raising an unhandled exception. The is_alive() method tests whether the thread is alive.
Output:
As we can see from the output, each of the three thread is alive just after the start but t.is_alive()=False after terminated.
Before we move forward, for our convenience, let's put a logging feature into a place:
Output:
Because the *args and **kwargs values passed to the Thread constructor are saved in private variables, they are not easily accessed from a subclass. To pass arguments to a custom thread type, we need to redefine the constructor to save the values in an instance attribute that can be seen in the subclass:
Output:
We overrided the __init__() using:
For Python 3, we could have used without any args within the super(), like this:
Creating a thread and passing arguments to the thread
Identifying threads - naming and logging
Daemon thread & join() method
Active threads & enumerate() method
Subclassing & overriding run() and __init__() methods
Timer objects
Event objects - set() & wait() methods
Lock objects - acquire() & release() methods
RLock (Reentrant) objects - acquire() method
Using locks in the with statement - context manager
Condition objects with producer and consumer
Producer and Consumer with Queue
Semaphore objects & thread pool
Thread specific data - threading.local()
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