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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
: 40 real Questions

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Microsoft Introduction to Programming Using

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

this text explains the way to software an NI DAQ hardware tackle or module using visual simple .web with NI-DAQmx or timehonored NI-DAQ (Legacy).

1. Introduction

the usage of both the NI-DAQmx or typical NI-DAQ (Legacy) driver that you would exist able to application in visible simple .web. With NI-DAQmx which you can expend size Studio for visual Studio which offers additional tools to exist used with NI-DAQmx, although measurement Studio isn't required to expend 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 fraction of the NI-DAQmx driver and does not require measurement Studio.
  • If dimension Studio is attach in it is going to provide assist for visible Studio offers autochthonous .internet type 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 helper for code technology, integrated visible Studio assist, person interface .internet controls, and assignment wizards.
  • Examples are covered with NI-DAQmx and might exist 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 carry out not exist, build inescapable you've got .internet support attach 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 moreover exist 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 involve 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 modern purposes. 
  • countrywide instruments doesn't give autochthonous .web add-ons for natural NI-DAQ (Legacy).
  • that you could expend the fair 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 modern VB  project and expend the ActiveX controls which are attach 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 select the selected CWDAQ manage you are looking to expend and click estimable enough.
  • The exploit you selected will now exhibit up within the toolbox, the status that you would exist 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 real Questions and Pass4sure dumps

    Some Microsoft employees occupy 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 exist vastly superior through cognitive training and superior sensors, enabling squads to exist first to discover, decide, and engage. Accelerated pile of these capabilities is critical to pick up well and maintain overmatch," the U.S. military spoke of in a young 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 divulge in how their work 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 occupy 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 exist deployed on the battlefield, and works via turning contest 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 expense 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 way to develop AI that may cause damage. The company mentioned its AI concepts as a key cause 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 divulge 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 stay 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 exist used to assist architects and engineers build constructions and automobiles, to befriend train americans the way to accomplish surgical procedure or play the piano, to shove the boundaries of gaming, and to connect with the Mars Rover (RIP). These engineers occupy now misplaced their skill to build choices about what they work on, in its status finding themselves implicated as contest profiteers."  

    Microsoft pointed out in a press release to ZDNet's sister web page CNET it had cited its status on work 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 occupy now moreover said, we'll remain engaged as an dynamic corporate subject in addressing the essential virtuous and public-policy concerns concerning AI and the defense force," the spokesperson stated. 

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

    old and related insurance

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

    Microsoft's HoloLens 2 can exist in a position to rush the Firefox browser natively

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

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

    Can traffic expend instances elevate HoloLens 2 from the level of curiosity to a company occupy to-have?

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

    or not it's handy to mediate that for a bit of technology to build an repercussion that it needs to exist some thing within the customer area. Microsoft is arrogate to objective 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 build operations better

    Surgeons at St Mary's health facility occupy 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 huge Blue.

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

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

    Microsoft steps up its company shove with its windows 10 April 2018 supersede for the HoloLens

    Microsoft is nascence to roll out its first home windows 10 feature supersede for HoloLens since 2016, and is making previews of two modern 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 call for proximate to HoloLens contract with US army  CNET

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


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

    if you are an traffic or an organization with combined reality options, here’s a very estimable 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 occupy 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 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 way to allow any individual to customize HoloLens 2 to fit 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 modern wearable challenging hat tackle 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 moreover exist 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 real 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 occupy near to the perquisite place.

    Earlier, I occupy shared a yoke of free Python Programming eBooks sand today I’ll share a yoke of estimable 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 much odds of online learning, the flexibility it provides is just awesome. You just necessity 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 determination to start your programming journey with Python. Many beginners, students and people starting with programming quiz this question to me every day. Should I start with Python or Java? Even though I am a Java developer, I quiz people to start with Python because of its awesome and multi-purpose features.

    Python is effortless to learn, easier compared to even Java. You can moreover write small Python scripts to quickly automate things you normally carry out manually and that provides a much value to beginners.

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

    This seriously makes learning Python an famous skill which will pay you throughout your career. I occupy always advised everyone my readers and students depart along with SQL and UNIX, you should moreover learn Python. One of the much programming skill every programmer should have. That’s the intuition I occupy listed is one of the essential tools for programmers.

    5 Free Courses to Learn Python Programming

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

    1. Introduction To Python Programming

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

    This is quite Amazing that the instructor himself is a 17-year-old student and this Python course occupy 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 necessity to know to pick up 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 moreover teaches you file manipulation and functions. In short, a Quick and effortless Intro to Python Programming.

    Introduction To Python Programming 2. Python for Absolute Beginners

    This is another much 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 taste whatsoever. This course starts Python programming from scratch, showing you everything from how to set up a Python IDE to how to expend list comprehensions.

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

    The best fraction of the course is that every modern concept is taught with source code slides and rehearse problems for you to work through. You will moreover exist provided with downloadable solutions to the rehearse problems. This learn-by-doing approach is much 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 occupy been looking to obtain a hands-on learning taste with Python. It teaches you programming concepts perquisite from the basics of Python. Since Python is effortless to learn, it moreover makes it effortless to learn to programme.

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

    The course moreover provides a lot of exercise problems, programming lectures, PDF notes for a complete taste and everything are free of cost. In short, a much Python course for beginners who are passionate to learn to programme even if they haven’t written a single 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 much 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 moreover work for experienced programmers who want to learn Python as long as they don’t pick up 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 proximate 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 moreover learn about functions, modules and lambda expression in Python.

    Overall a nice beginner course with 2.5 hours of content for free. Talking about social proof the course has got on fair 4.3 ratings from proximate 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 teach you how to structure your Python code by making expend of Classes and Objects. You will moreover 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 proximate of this course, you will exist 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 occupy 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 carry out 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 huge 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 gladden share with your friends and colleagues. If you occupy any questions or feedback then gladden drop a note.

    P.S.- Though these courses are estimable 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 tale 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 real questions and Pass4sure dumps

    The ability 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 attribute concurrent code can exist a real headache, but this article aims to demonstrate how effortless it is to pick up started writing threaded programs in Python. Due to the large number of modules available in the standard library which are there to befriend 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 incompatibility 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 large repercussion it has on which approach you select when writing asynchronous Python. The most famous 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, occupy 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 consume odds of multi-core systems. Note that if there are blocking operations which happen outside Python, long-wait tasks relish I/O for instance, then the GIL is not a bottleneck and writing a threaded program will still exist 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 everyone this is that if you necessity loyal parallelism and necessity to leverage multi-core CPUs, threads won’t sever it and you necessity to expend processes. A separate process means a separate interpreter with separate memory, its own GIL, and loyal parallelism. This pilot will give examples of both thread and process architectures.

    The concurrent.futures module

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

    Here’s an instance where they want to download some webpages, which will exist 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 rescue 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 eventual obscure which contains the threading-specific code. Note how effortless it is to create a dynamic pool of workers using ThreadPoolExecutor and submit a task. They could even simplify the eventual 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 exist more arrogate because of the restrictions of the GIL. In that case, they could occupy simply switched out ThreadPoolExecutor with  ProcessPoolExecutor.

    The threading module

    Whilst the concurrent.futures module offers a much way to pick up 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 rescue 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 build 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 moreover added a status update thread. The purpose of this is to repeatedly print “Still downloading” until we’ve finished fetching everyone the web pages. Unfortunately, since Python waits for everyone threads to finish executing before it exits, the program will never exit and the status updater thread will never stop printing.

    This is an instance of when the threading module’s army of options could exist useful: they can notice 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 everyone 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 exist 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 exist working on when they start them. However, it’s often the case that they necessity 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 notice tasks as done is as simple as this:

    from queue import Queue # maxsize=0 means illimitable 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 expend it to create a tasks queue for their website downloader. We’ll create a group of worker threads which can everyone access the queue and wait for tasks to near 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 rescue 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 instance everyone the tasks were added in one depart for the sake of brevity, but in a real 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 much for particular control of threads, but what if they want this finer level of control for processes? You might mediate that this would exist more challenging since once a process is launched, it’s completely separate and independent – harder to control than a modern thread which remains within the current interpreter and remembrance 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 same 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 rescue 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 mediate it’s awesome that Python manages to reserve the same syntax between the threading and multiprocessing modules, when the action taking status under the hood is so different.

    When it comes to distributing data between processes, the queue.Queue that they used for threading will not work 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 exist a lot of fun due to the inbuilt language features that abstract away a lot of problems. This doesn’t exist famous that a particular level of control cannot exist 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 real questions and Pass4sure dumps

    Page 1

    Question 1 1. A data type 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 type is moreover 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 modern code for her company's payroll department to assist with the roll-out of a modern pay for performance system. The modern code will strike employees' pay grades, salaries, and bonuses. Gwen has written pseudo-code and the actual code. What should exist her next step in the process?

    Question 15 15. How does using a debugger in an integrated development environment benefit 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 importance of syntax in programming?

    Question 18 18. What is an instance 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() 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 exploit 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 famous 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 instance of which of the following ways that workflow can exist controlled in a program?

    a = 1

    if a > 7:

    print 'I'm not fire 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 see the next set of questions. You can skip questions if you would relish and near back to them later with the yellow "Go To First Skipped Question" button. When you occupy completed the rehearse exam, a green submit button will appear. Click it to see your results. estimable luck!



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