This document provides a summary of threads in Python. It begins by defining what a thread is and how it allows for multitasking by time-division multiplexing the processor between threads. It then discusses how to start new threads in Python using the thread and threading modules, including examples. It also covers how to create threads that subclass the Thread class and how to synchronize threads using locks.
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An object is created using the constructor of the class. This object will then be called the instance of the class.
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What is Multithreading In Python | Python Multithreading Tutorial | EdurekaEdureka!
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This Edureka PPT on 'Multithreading in Python'' will help you understand the concept of threading in python. Below are the topics covered in this live PPT:
What is multitasking in Python?
Types of multitasking
What is a thread?
How to achieve multithreading in Python?
When to use multithreading?
How to create threads in Python?
Advantages of multithreading
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A class is a code template for creating objects. Objects have member variables and have behaviour associated with them. In python a class is created by the keyword class.
An object is created using the constructor of the class. This object will then be called the instance of the class.
Regular expressions are used to identify whether a pattern exists in a given sequence of characters (string) or not. They help in manipulating textual data, which is often a pre-requisite for data science projects that involve text mining. You must have come across some application of regular expressions: they are used at the server side to validate the format of email addresses or password during registration, used for parsing text data files to find, replace or delete certain string, etc.
What is Multithreading In Python | Python Multithreading Tutorial | EdurekaEdureka!
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** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Multithreading in Python'' will help you understand the concept of threading in python. Below are the topics covered in this live PPT:
What is multitasking in Python?
Types of multitasking
What is a thread?
How to achieve multithreading in Python?
When to use multithreading?
How to create threads in Python?
Advantages of multithreading
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What is Exception Handling?
Process of Exception Handling
Coding with Python
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The else clause
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Python Class | Python Programming | Python Tutorial | EdurekaEdureka!
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( ** Python Certification Training: https://www.edureka.co/python ** )
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Exception Handling In Python | Exceptions In Python | Python Programming Tuto...Edureka!
** Python Certification Training: https://www.edureka.co/python-programming-certification-training **
This Edureka PPT on Exception Handling Tutorial covers all the important aspects of making use and working with Exceptions using Python. It establishes all of the concepts like explaining why we need exception handling, the process of exception handling and how to go about using it practically.
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Why need Exception Handling?
What is Exception Handling?
Process of Exception Handling
Coding with Python
Try and Except block in Python
The else clause
The finally clause
Summary
Python Tutorial Playlist: https://goo.gl/WsBpKe
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This presentation educates you about objectives of python with example syntax, OOP Terminology, Creating Classes, Creating Instance Objects, Accessing Attributes and Built-In Class Attributes.
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Python Class | Python Programming | Python Tutorial | EdurekaEdureka!
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This Edureka Python Class tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) will help you understand Python Classes and Objects with examples. It will also explain the concept of Abstract Classes and Inheritance in python.
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A thread is a separate flow of execution. This means that your program will have two things happening at once. But for most Python 3 implementations the different threads do not actually execute at the same time: they merely appear to.
It’s tempting to think of threading as having two (or more) different processors running on your program, each one doing an independent task at the same time. That’s almost right. The threads may be running on different processors, but they will only be running one at a time.
Getting multiple tasks running simultaneously requires a non-standard implementation of Python, writing some of your code in a different language, or using multiprocessing which comes with some extra overhead.
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2. Disclaimer: This presentation is prepared by trainees of
baabtra as a part of mentoring program. This is not official
document of baabtra –Mentoring Partner
Baabtra-Mentoring Partner is the mentoring division of baabte System Technologies Pvt .
Ltd
6. Introduction
What are threads?
●
●
A thread is a light-weight process
A thread of execution is the smallest sequence of programmed
instructions that can be managed independently by an operating
system scheduler
process
Time
A process with two threads of execution on a single processor.
●
for example copying a file and showing the progress, or playing
a music while showing some pictures as a slideshow, or a
listener handles cancel event for aborting a file copy operation
13. In addition to the methods, the threading module has the Thread class that
implements threading.
The methods provided by the Thread class are as follows:
run(): The run() method is the entry point for a thread.
start(): The start() method starts a thread by calling the run method.
join([time]): The join() waits for threads to terminate.
isAlive(): The isAlive() method checks whether a thread is still executing.
getName(): The getName() method returns the name of a thread.
setName(): The setName() method sets the name of a thread.
14. Creating Thread using Threading Module:
To implement a new thread using the threading module, you have to do the
following:
●
Define a new subclass of the Thread class.
●
Override the __init__(self [,args]) method to add additional arguments.
●
●
Then, override the run(self [,args]) method to implement what the thread should
do when started.
Once you have created the new Thread subclass, you can create an instance of it and
then start a new thread by invoking the start(), which will in turn call run() method.
16. # Create new threads
thread1 = myThread(1, "Thread-1", 1)
thread2 = myThread(2, "Thread-2", 2)
# Start new Threads
thread1.start()
thread2.start()
print "Exiting Main Thread"
When the above code is executed, it
produces the following result:
Starting Thread-1
Starting Thread-2
Exiting Main Thread
Thread-1: Thu Mar 21
Thread-1: Thu Mar 21
Thread-2: Thu Mar 21
Thread-1: Thu Mar 21
Thread-1: Thu Mar 21
Thread-2: Thu Mar 21
Thread-1: Thu Mar 21
Exiting Thread-1
Thread-2: Thu Mar 21
Thread-2: Thu Mar 21
Thread-2: Thu Mar 21
Exiting Thread-2
09:10:03
09:10:04
09:10:04
09:10:05
09:10:06
09:10:06
09:10:07
2013
2013
2013
2013
2013
2013
2013
09:10:08 2013
09:10:10 2013
09:10:12 2013
17. Synchronizing Threads:
●
●
●
●
●
●
The threading module provided with Python includes a simple-toimplement locking mechanism that will allow you to synchronize threads
A new lock is created by calling the Lock() method, which returns the new
lock.
The acquire(blocking) method of the new lock object would be used to
force threads to run synchronously
The optional blocking parameter enables you to control whether the
thread will wait to acquire the lock.
If blocking is set to 0, the thread will return immediately with a 0 value if
the lock cannot be acquired and with a 1 if the lock was acquired. If
blocking is set to 1, the thread will block and wait for the lock to be
released.
The release() method of the the new lock object would be used to release
the lock when it is no longer required.
18. EXAMPLE:
#!/usr/bin/python
import threading
import time
class myThread (threading.Thread):
def __init__(self, threadID, name, counter):
threading.Thread.__init__(self)
self.threadID = threadID
self.name = name
self.counter = counter
def run(self):
print "Starting " + self.name
# Get lock to synchronize threads
threadLock.acquire()
print_time(self.name, self.counter, 3)
# Free lock to release next thread
threadLock.release()
def print_time(threadName, delay, counter):
while counter:
time.sleep(delay)
print "%s: %s" % (threadName,
time.ctime(time.time()))
counter -= 1
threadLock = threading.Lock()
threads = []
19. # Create new threads
thread1 = myThread(1, "Thread-1", 1)
thread2 = myThread(2, "Thread-2", 2)
# Start new Threads
thread1.start()
thread2.start()
# Add threads to thread list
threads.append(thread1)
threads.append(thread2)
# Wait for all threads to complete
for t in threads:
t.join()
print "Exiting Main Thread"
When the above code is executed, it produces the
following result:
Starting Thread-1
Starting Thread-2
Thread-1: Thu Mar 21
Thread-1: Thu Mar 21
Thread-1: Thu Mar 21
Thread-2: Thu Mar 21
Thread-2: Thu Mar 21
Thread-2: Thu Mar 21
Exiting Main Thread
09:11:28
09:11:29
09:11:30
09:11:32
09:11:34
09:11:36
2013
2013
2013
2013
2013
2013
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