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98-381 Introduction to Programming Using Python

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98-381 exam Dumps Source : Introduction to Programming Using Python

Test Code : 98-381
Test appellation : Introduction to Programming Using Python
Vendor appellation : Microsoft
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Microsoft Introduction to Programming Using

Programming NI-DAQmx using Microsoft visible basic .net | killexams.com actual Questions and Pass4sure dumps

this text explains the pass to software an NI DAQ hardware apparatus or module using visual simple .web with NI-DAQmx or typical NI-DAQ (Legacy).

1. Introduction

the usage of both the NI-DAQmx or typical NI-DAQ (Legacy) driver that you would be able to application in visible simple .web. With NI-DAQmx which you can employ size Studio for visual Studio which offers additional tools to be used with NI-DAQmx, although measurement Studio isn't required to employ NI-DAQmx in a text-based mostly atmosphere.

back to correct

2. NI-DAQmx
  • countrywide gadgets offers a native .net API for NI-DAQmx. this is purchasable as partake of the NI-DAQmx driver and does not require measurement Studio.
  • If dimension Studio is do in it is going to provide assist for visible Studio offers native .internet sort libraries and integration and code technology tools for NI-DAQmx and visual Studio. as an example, dimension Studio 7.0 and later provides the DAQ aide for code technology, integrated visible Studio assist, person interface .internet controls, and assignment wizards.
  • Examples are covered with NI-DAQmx and might be discovered at:
  • C:\documents and Settings\All users\documents\countrywide contraptions\NI-DAQ\Examples\DotNET<.internet Framework edition> orC:\clients\<consumer identify>\files\countrywide instruments\NI-DAQ\Examples\DotNET<.internet Framework version>

    orC:\users\Public\documents\countrywide contraptions\NI-DAQ\Examples

    note: If the paths above accomplish not exist, acquire inevitable you've got .internet back do in for NI-DAQmx.

  • extra examples using measurement Studio and NI-DAQmx are available. These examples are available within the measurement Studio aid and can likewise be discovered at:
  • C:\files and Settings\All users\documents\country wide instruments\MStudioVS<visible Studio edition>\DotNet\Examples orC:\users\<consumer identify>\documents\countrywide devices\MStudioVS<visible Studio version>\DotNet\Examples

    orC:\clients\Public\files\national instruments\MStudioVS<visible Studio version>\DotNET\Examples>

  • For both NI-DAQmx and dimension Studio examples, sub-folders named vb include visible primary examples.
  • back to true

    3. natural NI-DAQ (Legacy)
  • NI-DAQmx changed traditional NI-DAQ (Legacy) in 2003.  NI strongly recommends using NI-DAQmx for brand spanking newfangled purposes. 
  • countrywide instruments doesn't give native .web add-ons for natural NI-DAQ (Legacy).
  • that you could employ the average NI-DAQ ActiveX controls to office data acquisition. The CWDAQ ActiveX manage is equipped with the natural NI-DAQ Driver and does not require measurement Studio.
  • you could create a newfangled VB  project and employ the ActiveX controls which are do in with typical NI-DAQ. so as to add the CWDAQ ActiveX Controls to a .web challenge, comprehensive here steps: 
  • inside a .web mission, opt for View » Toolbox from the pull-down menu.
  • The Toolbox will seem. appropriate-click on in the toolbox and select Add/eliminate gadgets.
  • The personalize Toolbox will seem. opt for the COM accessories tab.
  • On this tab, that you may choose the selected CWDAQ manage you are looking to employ and click superior enough.
  • The wield you selected will now exhibit up within the toolbox, the dwelling that you would be able to drag and drop it onto the form.
  • back to exact

    four. additional resources

    Microsoft people protest: 'Cancel US military HoloLens tremendous-soldier contract' | killexams.com actual Questions and Pass4sure dumps

    Some Microsoft employees possess referred to as on the enterprise to ditch its $480m contract with the USA military to supply as much as one hundred,000 battle-able HoloLens headsets. 

    Microsoft in November landed a deal to supply HoloLens augmented-truth headsets for the USA military's integrated visible Augmentation system (IVAS) software. IVAS goals to augment troopers' shut-combat killing capabilities in urban environments. 

    "Soldier lethality may be vastly superior through cognitive training and superior sensors, enabling squads to be first to discover, decide, and engage. Accelerated pile of these capabilities is critical to Get well and maintain overmatch," the U.S. military spoke of in a juvenile doc.

    a bunch of Microsoft workers the usage of the Twitter tackle 'Microsoft workers 4 decent' on Friday posted an open letter to the company's chief felony guidance, Brad Smith, and CEO Satya Nadella, calling on them to cancel the IVAS contract. 

    "we are alarmed that Microsoft is working to provide weapon know-how to the U.S. military, helping one country's government 'raise lethality' using tools they developed. They did not sign in to strengthen weapons, and they require a thunder in how their labor is used," the group wrote. 

    The neighborhood says its mission is to "empower each employee to hang Microsoft accountable to their stated values" and claims to possess over a hundred and fifty signatures from fellow personnel.

    "while the enterprise has prior to now licensed tech to the USA defense force, it has under no circumstances crossed the road into weapons construction," the letter reads. 

    "The utility of HoloLens within the IVAS gadget is designed to aid individuals kill. It will be deployed on the battlefield, and works via turning fight into a simulated 'video game', additional distancing soldiers from the grim stakes of struggle and the reality of bloodshed."    

    The Microsoft personnel protest over HoloLens echoes Google employees' opposition to developing artificial-intelligence programs for detecting people and objects in drone video-surveillance pictures. 

    SEE: executive's e-book to the trade price of VR and AR (free e-book)    

    Google subsequently withdrew from the Pentagon's undertaking Maven software and published a set of AI ideas, through which it pledged in no pass to develop AI that may intuition damage. The company mentioned its AI concepts as a key intuition of pulling out of the $10bn JEDI cloud contract with the Pentagon.   

    Microsoft's Smith in October defended the company's ongoing participation in the JEDI bid technique and stated employees who objected to engaged on protection projects might without vicissitude stream to a different division. 

    Microsoft employees thunder Smith's advice "ignores the issue that people aren't correctly advised of using their work". 

    Microsoft's present evaluation procedure for ethics in AI is "opaque to Microsoft laborers" and isn't strict ample to sojourn away from Microsoft from developing weapons, in accordance with the protesting employees. 

    "there are lots of engineers who contributed to HoloLens earlier than this [IVAS] contract even existed, believing it will be used to assist architects and engineers build constructions and automobiles, to cheer train americans the pass to fulfill surgical procedure or play the piano, to thrust the boundaries of gaming, and to connect with the Mars Rover (RIP). These engineers possess now misplaced their skill to acquire choices about what they labor on, in its dwelling finding themselves implicated as fight profiteers."  

    Microsoft pointed out in a press release to ZDNet's sister web page CNET it had cited its dwelling on labor for the USA department of protection in Smith's October blog submit. 

    "We're committed to presenting their expertise to the USA department of defense, which comprises the U.S. army under this contract. As they possess now likewise said, we'll remain engaged as an lively corporate national in addressing the essential righteous and public-policy concerns concerning AI and the defense force," the spokesperson stated. 

    Microsoft personnel final year protested the business's labor to modernize IT for the Immigration and clients Enforcement (ICE) to assist it employ profound getting to know for facial awareness. 

    old and related insurance

    Microsoft's HoloLens 2: Why it's truly consummate in regards to the cloud

    Microsoft at cellular World Congress took the wraps off of its HoloLens 2 and it has some hardware upgrades that'll aid commercial enterprise utilization and the entrance-line workers the employ of it. however HoloLens for Microsoft is consummate about landing cloud subscriptions.

    Microsoft's HoloLens 2 can be in a position to hasten the Firefox browser natively

    Microsoft's newfangled HoloLens 2 is a launchpad for vertical-selected trade applications. but Firefox and video games seem to be headed to the platform, too.

    HoloLens 2: How Microsoft plans to acquire augmented fact into your trade reality

    Can trade employ instances elevate HoloLens 2 from the even of curiosity to a company possess to-have?

    Microsoft HoloLens 2: here is massive, but you possess to feel different to 'Apple massive'

    or not it's handy to reflect that for a bit of technology to acquire an repercussion that it needs to be some thing within the customer area. Microsoft is preempt to aim the HoloLens 2 squarely at the commercial enterprise space.

    Augmented verisimilitude within the working theatre: How surgeons are the usage of Microsoft's HoloLens to acquire operations better

    Surgeons at St Mary's health facility possess been using a HoloLens-based system to pick out blood vessels before surgery

    IBM: We're protesting over Pentagon's $10bn winner-take-all JEDI cloud deal

    IBM fears that the JEDI deal is geared toward 'one specific dealer', which isn't stout Blue.

    Google: birthright here's why we're pulling out of Pentagon's $10bn JEDI cloud race

    Google might not bid for the branch of defense's massive cloud contract since it may fight with its AI principles towards establishing weapons.

    Microsoft steps up its company thrust with its windows 10 April 2018 replace for the HoloLens

    Microsoft is rise to roll out its first home windows 10 feature replace for HoloLens since 2016, and is making previews of two newfangled first-party enterprise apps attainable for the gadget.

    Microsoft HoloLens: Cheat sheet TechRepublic

    isn't HoloLens just Microsoft's pinch on VR headsets? not in any respect. here's what trade execs should learn about HoloLens.

    Microsoft people call for nigh to HoloLens contract with US army  CNET

    "We didn't sign up to help weapons," says the group.


    Microsoft allows for any person to customize HoloLens 2 to hardy their wants | killexams.com actual Questions and Pass4sure dumps

    if you are an trade or an organization with combined reality options, here’s a very superior news from Microsoft. which you could now customise Microsoft HoloLens 2 in keeping with your needs.

    notwithstanding HoloLens has been confirmed and located to comply to the basic possess an result on protection necessities of ANSI Z87.1, CSA Z94.3 and EN 166, some challenging environments require more than that. we've viewed HoloLens being used in circumstances dote pile sites, working rooms, overseas space Station and extra in the past. With HoloLens 2, Microsoft is introducing a program known as HoloLens Customization program as a pass to allow any individual to customize HoloLens 2 to felicitous their environmental wants.

    Microsoft nowadays highlighted that Trimble is the first accomplice to pinch talents of the HoloLens Customization application. The Trimble XR10 with Microsoft HoloLens 2 is a newfangled wearable challenging hat apparatus that enables employees in defense-managed environments to access holographic suggestions on the worksite. In an identical manner, NASA can build its own HoloLens 2 machine that can likewise be used via astronauts on properly of their helmets.

    supply: Microsoft


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    Introduction to Programming Using Python

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    5 Free Courses to Learn Python in 2019 | killexams.com actual questions and Pass4sure dumps

    Free Python Courses for Programmers and Developers

    Hello guys, If you are a beginner looking for some Free Python resources to start your programming journey in 2019 then you possess further to the birthright place.

    Earlier, I possess shared a brace of free Python Programming eBooks sand today I’ll partake a brace of superior Python programming courses which are absolutely FREE!! You can pinch these online courses to learn Python at your own pace, at your own time, and at your place.

    This is a worthy odds of online learning, the flexibility it provides is just awesome. You just exigency a laptop or a smartphone with an internet connection and you can learn anything.

    Btw, before to start with the list of courses to learn Python programming I want to congratulate you on making the birthright determination to start your programming journey with Python. Many beginners, students and people starting with programming require this question to me every day. Should I start with Python or Java? Even though I am a Java developer, I require people to start with Python because of its awesome and multi-purpose features.

    Python is light to learn, easier compared to even Java. You can likewise write small Python scripts to quickly automate things you normally accomplish manually and that provides a worthy value to beginners.

    Python is likewise powerful, feature loaded and multi-purpose. For example, you can employ Python for web development, you can employ it to create scripts, and you can even employ it in the space of Data Science and Machine learning.

    This seriously makes learning Python an principal skill which will pay you throughout your career. I possess always advised consummate my readers and students fade along with SQL and UNIX, you should likewise learn Python. One of the worthy programming skill every programmer should have. That’s the intuition I possess listed is one of the essential tools for programmers.

    5 Free Courses to Learn Python Programming

    Now that you know that learning Python is worthy for your programming career its time to actually learn Python. Whenever I start with a newfangled technology I usually result my 3 point model dote associate an online course, buy a book, and accomplish a project. This pass I possess mastered several newfangled technologies consummate by myself without going into expensive coaching classes or boot camps and nothing beats free resources to start with. In the past I possess shared free books to learn Python and today I will partake some of the best online courses you pinch to learn Python Programming for free. The project partake is something which you can accomplish yourself once you learn Python by going through these courses and books.

    1. Introduction To Python Programming

    If you exigency a quick brush-up or learning Python for the first time then this is the consummate course for you.

    This is quite incredible that the instructor himself is a 17-year-old student and this Python course possess more than 130K students enrolled in Udemy, which speaks volume about the course.  Here is the link to associate the course: Introduction To Python Programming This course is a one-stop-shop for everything you’ll exigency to know to Get started with Python, along with a few incentives.

    You will start with the basics of Python, learning about strings, variables, and getting to know the data types. You will then learn other essential programming constructs e.g. loops and conditions in Python.

    The course likewise teaches you file manipulation and functions. In short, a Quick and light Intro to Python Programming.

    Introduction To Python Programming 2. Python for Absolute Beginners

    This is another worthy introductory course on Python for people who want to learn Python as well as Programming. It doesn’t matter if you’ve had no programming undergo whatsoever. This course starts Python programming from scratch, showing you everything from how to set up a Python IDE to how to employ list comprehensions.

    Here is the link to associate the course for FREE: Python for Absolute Beginners

    The best partake of the course is that every newfangled concept is taught with source code slides and drill problems for you to labor through. You will likewise be provided with downloadable solutions to the drill problems. This learn-by-doing approach is worthy for beginners who can quickly learn both Programming and Python by following this course.

    Python for Absolute Beginners 3. Programming with Python: Hands-On Introduction for Beginners

    This is another awesome course to learn Python online. The course has been specifically designed for beginners who possess been looking to obtain a hands-on learning undergo with Python. It teaches you programming concepts birthright from the basics of Python. Since Python is light to learn, it likewise makes it light to learn to programme.

    Here is the link to associate the course: Programming with Python: Hands-On Introduction for Beginners

    The course likewise provides a lot of exercise problems, programming lectures, PDF notes for a complete undergo and everything are free of cost. In short, a worthy Python course for beginners who are passionate to learn to programme even if they haven’t written a unique line of code in their entire life and wants to start with Python.

    Programming with Python: Hands-On Introduction for Beginners 4. Python Programming for Absolute Beginners

    This is a worthy practical Python course for beginners with plenary of examples and exercises, particularly useful for people coming from a different background with no programming experience. This course is pattern for those who haven’t programmed before, but it should likewise labor for experienced programmers who want to learn Python as long as they don’t Get offended by a few extra explanations.

    Here is the link to associate the course for FREE: Python Programming for Absolute Beginners You will start from scratch and by the nigh of the course you will know how to write Python programs and learn basics about lists, dictionary, and other essential Python data structures.

    You will likewise learn about functions, modules and lambda expression in Python.

    Overall a nice beginner course with 2.5 hours of content for free. Talking about gregarious proof the course has got on average 4.3 ratings from nigh to 7000 students.

    Python Programming for Absolute Beginners 5. Learn Python 3 From Scratch

    If you want to learn Object-oriented programming with Python then this is the consummate course for you.

    This course will educate you how to structure your Python code by making employ of Classes and Objects. You will likewise learn how to achieve object-oriented programming in Python by learning how to bundle attributes and methods within a class and instantiating them through an object.

    Here is the link to associate the course: Learn Python 3 From Scratch

    At the nigh of this course, you will be able to write your own Python 3 programs in Python!

    Learn Python 3 From Scratch

    That’s on this list of free Python Programming courses for beginners. As I possess said before, Python is an awesome, multipurpose programming language and every programmer should learn it.

    You can automate things using Python by writing scripts, can accomplish object-oriented programming and can even explore the world of web development, data science and machine learning using awesome Python libraries and modules.  Other Free Books and Courses for Programmers 5 Online Courses to learn Core Java for Free 5 Free Courses to Learn Maven and Jenkins 5 Courses to learn Android for Java Developers 5 Free Courses to Learn Data Structures and Algorithms 5 Free Spring Framework Courses for Java Developers 5 Online training courses to learn Angular for Free 5 Node JS courses for Java and Web Developers 5 Courses to Learn stout Data and Apache Spark 5 Free Courses to Learn Git and Github Thanks for reading this article so far. If you dote these free Python courses then gratify partake with your friends and colleagues. If you possess any questions or feedback then gratify drop a note.

    P.S.- Though these courses are superior they are not comprehensive enough to cover everything a Programmer needs to know about Python. If you feel so and interested to learn more, I imply you associate The Complete Python 3 Bootcamp. It’s not free but it’s completely worth your money.

    This Story is published in The Startup, Medium’s largest entrepreneurship publication followed by +415,678 people. Subscribe to receive their top stories here.

    Thread Carefully: An Introduction To Concurrent Python | killexams.com actual questions and Pass4sure dumps

    The competence to execute code in parallel is crucial in a wide variety of scenarios. Concurrent programming is a key asset for web servers, producer/consumer models, batch number-crunching and pretty much any time an application is bottlenecked by a resource.

    It’s sadly the case that writing character concurrent code can be a actual headache, but this article aims to demonstrate how light it is to Get started writing threaded programs in Python. Due to the big number of modules available in the yardstick library which are there to cheer out with this kindhearted of thing, it’s often the case that simple concurrent tasks are surprisingly quick to implement.

    We’ll walk through the dissimilarity between threads and processes in a Python context, before reviewing some of the different approaches you can pinch and what they’re best suited for.

    (Python 3 is used for the duration of the article.)

    The Global Interpreter Lock

    It’s impossible to talk about concurrent programming in Python without mentioning the Global Interpreter Lock, or GIL. This is because of the big repercussion it has on which approach you select when writing asynchronous Python. The most principal thing to note is that it is only a feature of CPython (the widely used “reference” Python implementation), it’s not a feature of the language. Jython and IronPython, among other implementations, possess no GIL.

    The GIL is controversial because it only allows one thread at a time to access the Python interpreter. This means that it’s often not possible for threads to pinch odds of multi-core systems. Note that if there are blocking operations which betide outside Python, long-wait tasks dote I/O for instance, then the GIL is not a bottleneck and writing a threaded program will soundless be a benefit. However, if the blocking operations are largely crunching through CPython bytecode, then the GIL becomes a bottleneck.

    Why was the GIL introduced at all? It makes remembrance management much simpler with no possibility of simultaneous access or race conditions, and it makes C extensions easier to write and easier to wrap.

    The upshot of consummate this is that if you exigency actual parallelism and exigency to leverage multi-core CPUs, threads won’t chop it and you exigency to employ processes. A separate process means a separate interpreter with separate memory, its own GIL, and actual parallelism. This pilot will give examples of both thread and process architectures.

    The concurrent.futures module

    The concurrent.futures module is a well-kept underhand in Python, but provides a uniquely simple pass to implement threads and processes. For many basic applications, the light to employ Pool interface offered here is sufficient.

    Here’s an case where they want to download some webpages, which will be much quicker if done in parallel.

    """Download webpages in threads.""" import requests from concurrent.futures import ThreadPoolExecutor download_list = [ {'name': 'google', 'url': "http://google.com"}, {'name': 'reddit', 'url': "http://reddit.com"}, {'name': 'ebay', 'url': "http://ebay.com"}, {'name': 'bbc', 'url': "http://bbc.co.uk"} ] def download_page(page_info): """Download and deliver webpage.""" r = requests.get(page_info['url']) with open(page_info['name'] + '.html', 'w') as save_file: save_file.write(r.text) if __name__ == '__main__': pool = ThreadPoolExecutor(max_workers=10) for download in download_list: pool.submit(download_page, download)

    Most of the code is just setting up their downloader example; it’s only the last hide which contains the threading-specific code. Note how light it is to create a dynamic pool of workers using ThreadPoolExecutor and submit a task. They could even simplify the last two lines to one using map:

    pool.map(download_page, download_list)

    Using threads works well in this case since the blocking operation that benefits from concurrency is the act of fetching the webpage. This means that the GIL is not an issue and threading is an pattern solution. However, if the operation in question was something which was CPU intensive within Python, processes would likely be more preempt because of the restrictions of the GIL. In that case, they could possess simply switched out ThreadPoolExecutor with  ProcessPoolExecutor.

    The threading module

    Whilst the concurrent.futures module offers a worthy pass to Get off the ground quickly, sometimes more control is needed over different threads, which is where the ubiquitous threading module comes in.

    Let’s re-implement the website downloader they made above, this time using the threading module.

    """Download webpages in threads, using `threading`.""" import requests import time import threading download_list = [ {'name': 'google', 'url': "http://google.com"}, {'name': 'reddit', 'url': "http://reddit.com"}, {'name': 'ebay', 'url': "http://ebay.com"}, {'name': 'bbc', 'url': "http://bbc.co.uk"} ] def status_update(): """Print 'Still downloading' at regular intervals.""" while True: print("Still downloading") time.sleep(0.1) def download_page(page_info): """Download and deliver webpage.""" r = requests.get(page_info['url']) with open(page_info['name'] + '.html', 'w') as save_file: save_file.write(r.text) if __name__ == '__main__': for download in download_list: downloader = threading.Thread(target=download_page, args=(download,)) downloader.start() status = threading.Thread(target=status_update) status.start()

    For each thread they want to create, they acquire an instance of the threading.Thread class, specifying what they would dote their worker office to be, and the arguments required.

    Note that we’ve likewise added a status update thread. The purpose of this is to repeatedly print “Still downloading” until we’ve finished fetching consummate the web pages. Unfortunately, since Python waits for consummate threads to finish executing before it exits, the program will never exit and the status updater thread will never discontinue printing.

    This is an case of when the threading module’s multitude of options could be useful: they can ticket the updater thread as a daemon thread, which means that Python will exit when only daemon threads are left running.

    status = threading.Thread(target=status_update) status.daemon = True status.start()

    The program now successfully stops printing and exits when consummate downloader threads are finished.

    Daemon threads are generally most useful for background tasks and repetitive functions which are only required when the main program is running, since a daemon can be killed at any moment, causing data loss.

    The combination of threading and queues

    So far we’ve only looked at cases where they know exactly what they want the threads to be working on when they start them. However, it’s often the case that they exigency to start a group of worker threads, then feed them tasks as they arrive.

    The best data structure for dealing with these tasks is, of course, a queue, and Python provides a queue module which is especially geared towards threading applications. FIFO, LIFO and priority queues are available.

    Using a queue.Queue object to add, get, and ticket tasks as done is as simple as this:

    from queue import Queue # maxsize=0 means infinite size limit tasks = Queue(maxsize=0) tasks.put("a task") tasks.put("another task") while not tasks.empty(): print(tasks.get()) # execute task tasks.task_done()

    Ok, that’s pretty basic so far. Now let’s employ it to create a tasks queue for their website downloader. We’ll create a group of worker threads which can consummate access the queue and wait for tasks to further in.

    """Download webpages in threads, using `threading` and `queue`.""" import requests import threading from queue import Queue NUM_WORKER_THREADS = 3 def download_page(page_info): """Download and deliver webpage.""" r = requests.get(page_info['url']) with open(page_info['name'] + '.html', 'w') as save_file: save_file.write(r.text) def handle_tasks(tasks_queue): """Monitor tasks queue and execute tasks as appropriate.""" while True: download_page(tasks_queue.get()) tasks_queue.task_done() if __name__ == '__main__': tasks = Queue(maxsize=0) # Create and start worker threads for i in range(NUM_WORKER_THREADS): worker = threading.Thread(target=handle_tasks, args=(tasks,)) worker.daemon = True worker.start() # Add some tasks to the queue tasks.put({'name': 'google', 'url': "http://google.com"}) tasks.put({'name': 'reddit', 'url': "http://reddit.com"}) tasks.put({'name': 'ebay', 'url': "http://ebay.com"}) tasks.put({'name': 'bbc', 'url': "http://bbc.co.uk"}) tasks.join()

    Note that in this case consummate the tasks were added in one fade for the sake of brevity, but in a actual application the tasks could trickle in at any rate. Here they exit the program when the tasks queue has been fully completed, using the .join() method.

    The multiprocessing module

    The threading module is worthy for minute control of threads, but what if they want this finer even of control for processes? You might reflect that this would be more challenging since once a process is launched, it’s completely separate and independent – harder to control than a newfangled thread which remains within the current interpreter and remembrance space.

    Fortunately for us, the Python developers worked difficult to create a multiprocessing module which has an interface that is almost identical to the threading module. This means that launching processes follows the exact identical syntax as their examples above. Their simple downloader would become this:

    """Download webpages in threads, using `multiprocessing`.""" import requests import time import multiprocessing download_list = [ {'name': 'google', 'url': "http://google.com"}, {'name': 'reddit', 'url': "http://reddit.com"}, {'name': 'ebay', 'url': "http://ebay.com"}, {'name': 'bbc', 'url': "http://bbc.co.uk"} ] def status_update(): """Print 'Still downloading' at regular intervals.""" while True: print("Still downloading") time.sleep(0.1) def download_page(page_info): """Download and deliver webpage.""" r = requests.get(page_info['url']) with open(page_info['name'] + '.html', 'w') as save_file: save_file.write(r.text) if __name__ == '__main__': for download in download_list: downloader = multiprocessing.Process(target=download_page, args=(download,)) downloader.start() status = multiprocessing.Process(target=status_update) status.daemon = True status.start()

    We reflect it’s awesome that Python manages to back the same syntax between the threading and multiprocessing modules, when the action taking dwelling under the hood is so different.

    When it comes to distributing data between processes, the queue.Queue that they used for threading will not labor between processes. This is because a queue.Queue is fundamentally just a data structure within the current process – albeit one which is cleverly locked and mutexed. Thankfully there exists a multiprocessing.Queue, which is specifically designed for inter-process communication. Behind the scenes, this will serialize your data and send it through a pipe between processes – a very convenient abstraction.

    Summary

    Writing concurrent code in Python can be a lot of fun due to the inbuilt language features that abstract away a lot of problems. This doesn’t intend that a minute even of control cannot be achieved either, but rather that the barrier to getting started with simple tasks is lowered. So when you’re stuck waiting for one process to finish before starting the next, give one of these techniques a try.


    Introduction to Python Programming Chapter Exam | killexams.com actual questions and Pass4sure dumps

    Page 1

    Question 1 1. A data sort where values can only delineate one of a limited number of pre-defined categories is called a(n) _______ data type.

    Question 2 2. Which of the following is not a numeric data type?

    Question 3 3. Which of the following is not a primitive data type?

    Question 4 4. A list data sort is likewise referred to as:

    Question 5 5. What is the greatest odds of Python?

    Page 2

    Question 6 6. Why is Python a scripting language?

    Question 7 7. Which of the following statements is true?

    Question 8 8. How will you verify Python installation in Mac?

    Question 9 9. In order to write a program, a programmer must _____

    Question 10 10. Which of the following describes programming?

    Page 3

    Question 11 11. What are the two main parts of a programmer's job?

    Question 12 12. The programmer's toolbox contains _____.

    Question 13 13. Which of the following is NOT a typical component of an Integrated development Environment?

    Question 14 14. Gwen is an IT programmer for a small, non profit company. She's been assigned to write some newfangled code for her company's payroll department to assist with the roll-out of a newfangled pay for performance system. The newfangled code will palpate employees' pay grades, salaries, and bonuses. Gwen has written pseudo-code and the actual code. What should be her next step in the process?

    Question 15 15. How does using a debugger in an integrated development environment capitalize an individual who is writing code?

    Page 4

    Question 16 16. How does the IDE component, known as syntax highlighting, aid developers with writing program code?

    Question 17 17. What is the significance of syntax in programming?

    Question 18 18. What is an case of a typical keyword used in a programming language?

    Question 19 19. Which of the following phrases best describes programming?

    Question 20 20. A remembrance location that can store a value within a program is called a/an:

    Page 5

    Question 21 21. How does the input() office know when the user is done entering data?

    Question 22 22. Which office is used to provide output to the screen?

    Question 23 23. How does Python wield in-code comments?

    Question 24 24. How are comments annotated in Python?

    Question 25 25. How many different values can a Boolean contain?

    Page 6

    Question 26 26. What is the first step to set up a coding environment in Python?

    Question 27 27. What are the two most principal skills a programmer must have?

    Question 28 28. A code editor that is used to check syntax, format, run, and test code is known as a/an _____.

    Question 29 29.

    The following piece of code is an case of which of the following ways that workflow can be controlled in a program?

    a = 1

    if a > 7:

    print 'I'm not ardor lucky.'

    else:

    print 'I'm a winner.'

    Question 30 30. Which office is used to obtain keyboard input?

    Introduction to Python Programming Chapter Exam Instructions

    Choose your answers to the questions and click 'Next' to perceive the next set of questions. You can skip questions if you would dote and further back to them later with the yellow "Go To First Skipped Question" button. When you possess completed the drill exam, a green submit button will appear. Click it to perceive your results. superior luck!



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