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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 name : Introduction to Programming Using Python
Vendor name : Microsoft
: 40 existent Questions

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Microsoft Introduction to Programming Using

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

this text explains the passage to software an NI DAQ hardware equipment or module using visual simple .web with NI-DAQmx or habitual NI-DAQ (Legacy).

1. Introduction

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

back to correct

2. NI-DAQmx
  • countrywide gadgets offers a autochthonous .net API for NI-DAQmx. this is purchasable as allotment of the NI-DAQmx driver and does not require measurement Studio.
  • If dimension Studio is build in it is going to provide assist for visible Studio offers autochthonous .internet kind 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 breathe 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 enact not exist, submit confident you've got .internet uphold build 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 besides breathe 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 comprehend 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 autochthonous .web add-ons for natural NI-DAQ (Legacy).
  • that you could exhaust the just NI-DAQ ActiveX controls to function 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 exhaust the ActiveX controls which are build 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 elect the selected CWDAQ manage you are looking to exhaust and click expedient enough.
  • The wield you selected will now exhibit up within the toolbox, the set that you would breathe 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 existent Questions and Pass4sure dumps

    Some Microsoft employees hold referred to as on the enterprise to ditch its $480m constrict 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 enlarge troopers' shut-combat killing capabilities in urban environments. 

    "Soldier lethality may breathe vastly superior through cognitive training and superior sensors, enabling squads to breathe first to discover, decide, and engage. Accelerated building of these capabilities is captious to catch well and maintain overmatch," the U.S. military spoke of in a adolescent doc.

    a bunch of Microsoft workers the usage of the Twitter tackle 'Microsoft workers 4 decent' on Friday posted an open epistle 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 claim a order in how their travail 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 hold 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 epistle reads. 

    "The utility of HoloLens within the IVAS gadget is designed to aid individuals kill. It will breathe deployed on the battlefield, and works via turning conflict 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 traffic charge 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 passage to develop AI that may antecedent damage. The company mentioned its AI concepts as a key antecedent of pulling out of the $10bn JEDI cloud constrict 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 order 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 tarry 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] constrict even existed, believing it will breathe used to assist architects and engineers build constructions and automobiles, to abet train americans the passage to fulfill surgical procedure or play the piano, to propel the boundaries of gaming, and to connect with the Mars Rover (RIP). These engineers hold now misplaced their skill to submit choices about what they travail on, in its set finding themselves implicated as conflict profiteers."  

    Microsoft pointed out in a press release to ZDNet's sister web page CNET it had cited its set on travail 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 hold now besides said, we'll remain engaged as an dynamic corporate theme in addressing the essential ethical and public-policy concerns concerning AI and the defense force," the spokesperson stated. 

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

    old and related insurance

    Microsoft's HoloLens 2: Why it's truly total 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 exhaust of it. however HoloLens for Microsoft is total about landing cloud subscriptions.

    Microsoft's HoloLens 2 can breathe in a position to elope the Firefox browser natively

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

    HoloLens 2: How Microsoft plans to submit augmented fact into your traffic reality

    Can traffic exhaust instances elevate HoloLens 2 from the plane of curiosity to a company hold to-have?

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

    or not it's handy to deem that for a bit of technology to submit an impact that it needs to breathe some thing within the customer area. Microsoft is usurp to purpose the HoloLens 2 squarely at the commercial enterprise space.

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

    Surgeons at St Mary's health facility hold 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 Big Blue.

    Google: perquisite 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 constrict since it may conflict with its AI principles towards establishing weapons.

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

    Microsoft is genesis 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 consume on VR headsets? not in any respect. here's what traffic execs should learn about HoloLens.

    Microsoft people convene for recess to HoloLens constrict with US army  CNET

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


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

    if you are an traffic or an organization with combined reality options, here’s a very expedient intelligence 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 hold 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 relish building 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 passage to allow any individual to customize HoloLens 2 to felicitous their environmental wants.

    Microsoft nowadays highlighted that Trimble is the first accomplice to consume talents of the HoloLens Customization application. The Trimble XR10 with Microsoft HoloLens 2 is a newfangled wearable challenging hat equipment 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 besides breathe 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 existent 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 hold arrive to the perquisite place.

    Earlier, I hold shared a pair of free Python Programming eBooks sand today I’ll participate a pair of expedient Python programming courses which are absolutely FREE!! You can consume these online courses to learn Python at your own pace, at your own time, and at your place.

    This is a mighty edge of online learning, the flexibility it provides is just awesome. You just need 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 perquisite decision to start your programming journey with Python. Many beginners, students and people starting with programming put a question to this question to me every day. Should I start with Python or Java? Even though I am a Java developer, I put a question to people to start with Python because of its awesome and multi-purpose features.

    Python is easy to learn, easier compared to even Java. You can besides write small Python scripts to quickly automate things you normally enact manually and that provides a mighty value to beginners.

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

    This seriously makes learning Python an captious skill which will pay you throughout your career. I hold always advised total my readers and students ride along with SQL and UNIX, you should besides learn Python. One of the mighty programming skill every programmer should have. That’s the intuition I hold listed is one of the essential tools for programmers.

    5 Free Courses to Learn Python Programming

    Now that you know that learning Python is mighty for your programming career its time to actually learn Python. Whenever I start with a newfangled technology I usually ensue my 3 point model relish connect an online course, buy a book, and enact a project. This passage I hold mastered several newfangled technologies total by myself without going into expensive coaching classes or boot camps and nothing beats free resources to start with. In the past I hold shared free books to learn Python and today I will participate some of the best online courses you consume to learn Python Programming for free. The project allotment is something which you can enact yourself once you learn Python by going through these courses and books.

    1. Introduction To Python Programming

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

    This is quite wonderful that the instructor himself is a 17-year-old student and this Python course hold more than 130K students enrolled in Udemy, which speaks volume about the course.  Here is the link to connect the course: Introduction To Python Programming This course is a one-stop-shop for everything you’ll need to know to catch 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 besides teaches you file manipulation and functions. In short, a Quick and easy Intro to Python Programming.

    Introduction To Python Programming 2. Python for Absolute Beginners

    This is another mighty 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 exhaust list comprehensions.

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

    The best allotment of the course is that every newfangled concept is taught with source code slides and exercise problems for you to travail through. You will besides breathe provided with downloadable solutions to the exercise problems. This learn-by-doing approach is mighty 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 hold been looking to obtain a hands-on learning undergo with Python. It teaches you programming concepts perquisite from the basics of Python. Since Python is easy to learn, it besides makes it easy to learn to programme.

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

    The course besides provides a lot of exercise problems, programming lectures, PDF notes for a complete undergo and everything are free of cost. In short, a mighty Python course for beginners who are passionate to learn to programme even if they haven’t written a solitary 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 mighty practical Python course for beginners with full of examples and exercises, particularly useful for people coming from a different background with no programming experience. This course is gauge for those who haven’t programmed before, but it should besides travail for experienced programmers who want to learn Python as long as they don’t catch offended by a few extra explanations.

    Here is the link to connect the course for FREE: Python Programming for Absolute Beginners You will start from scratch and by the recess 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 besides learn about functions, modules and lambda expression in Python.

    Overall a nice beginner course with 2.5 hours of content for free. Talking about sociable proof the course has got on just 4.3 ratings from near 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 impeccable course for you.

    This course will instruct you how to structure your Python code by making exhaust of Classes and Objects. You will besides 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 connect the course: Learn Python 3 From Scratch

    At the recess of this course, you will breathe 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 hold 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 enact 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 Big Data and Apache Spark 5 Free Courses to Learn Git and Github Thanks for reading this article so far. If you relish these free Python courses then please participate with your friends and colleagues. If you hold any questions or feedback then please drop a note.

    P.S.- Though these courses are expedient 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 suggest you connect The Complete Python 3 Bootcamp. It’s not free but it’s completely worth your money.

    This epic 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 existent questions and Pass4sure dumps

    The capacity 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 property concurrent code can breathe a existent headache, but this article aims to demonstrate how easy it is to catch started writing threaded programs in Python. Due to the great number of modules available in the gauge library which are there to abet out with this kindly of thing, it’s often the case that simple concurrent tasks are surprisingly quick to implement.

    We’ll walk through the disagreement between threads and processes in a Python context, before reviewing some of the different approaches you can consume 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 great impact it has on which approach you select when writing asynchronous Python. The most captious 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, hold 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 practicable for threads to consume edge of multi-core systems. Note that if there are blocking operations which befall outside Python, long-wait tasks relish I/O for instance, then the GIL is not a bottleneck and writing a threaded program will noiseless breathe 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 memory 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 total this is that if you need precise parallelism and need to leverage multi-core CPUs, threads won’t prick it and you need to exhaust processes. A sever process means a sever interpreter with sever memory, its own GIL, and precise parallelism. This pilot will give examples of both thread and process architectures.

    The concurrent.futures module

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

    Here’s an sample where they want to download some webpages, which will breathe 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 secrete which contains the threading-specific code. Note how easy 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 gauge solution. However, if the operation in question was something which was CPU intensive within Python, processes would likely breathe more usurp because of the restrictions of the GIL. In that case, they could hold simply switched out ThreadPoolExecutor with  ProcessPoolExecutor.

    The threading module

    Whilst the concurrent.futures module offers a mighty passage to catch 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 submit an instance of the threading.Thread class, specifying what they would relish their worker function to be, and the arguments required.

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

    This is an sample of when the threading module’s legion of options could breathe useful: they can sign 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 total 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 breathe 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 breathe working on when they start them. However, it’s often the case that they need 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 sign 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 exhaust it to create a tasks queue for their website downloader. We’ll create a group of worker threads which can total access the queue and wait for tasks to arrive 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 sample total the tasks were added in one ride for the sake of brevity, but in a existent 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 mighty for circumstantial control of threads, but what if they want this finer plane of control for processes? You might deem that this would breathe more challenging since once a process is launched, it’s completely sever and independent – harder to control than a newfangled thread which remains within the current interpreter and memory space.

    Fortunately for us, the Python developers worked arduous 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 very 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 deem it’s awesome that Python manages to uphold the same syntax between the threading and multiprocessing modules, when the action taking set under the hood is so different.

    When it comes to distributing data between processes, the queue.Queue that they used for threading will not travail 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 breathe a lot of fun due to the inbuilt language features that abstract away a lot of problems. This doesn’t breathe captious that a circumstantial plane of control cannot breathe 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 existent questions and Pass4sure dumps

    Page 1

    Question 1 1. A data kind where values can only picture 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 kind is besides referred to as:

    Question 5 5. What is the greatest edge 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 evolution 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 strike employees' pay grades, salaries, and bonuses. Gwen has written pseudo-code and the actual code. What should breathe her next step in the process?

    Question 15 15. How does using a debugger in an integrated evolution environment profit 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 instant of syntax in programming?

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

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

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

    Page 5

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

    Question 22 22. Which function 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 captious 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 sample of which of the following ways that workflow can breathe controlled in a program?

    a = 1

    if a > 7:

    print 'I'm not passion lucky.'

    else:

    print 'I'm a winner.'

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

    Introduction to Python Programming Chapter Exam Instructions

    Choose your answers to the questions and click 'Next' to view the next set of questions. You can skip questions if you would relish and arrive back to them later with the yellow "Go To First Skipped Question" button. When you hold completed the exercise exam, a green submit button will appear. Click it to view your results. expedient luck!



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