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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 true Questions

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Microsoft Introduction to Programming Using

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

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

1. Introduction

the usage of both the NI-DAQmx or typical NI-DAQ (Legacy) driver that you would live able to application in visible simple .web. With NI-DAQmx which you can expend size Studio for visual Studio which offers additional tools to live 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 indigenous .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 Put in it is going to provide assist for visible Studio offers indigenous .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 live 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 execute not exist, obtain certain you've got .internet champion Put 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 also live 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 novel purposes. 
  • countrywide instruments doesn't give indigenous .web add-ons for natural NI-DAQ (Legacy).
  • that you could expend the medium 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 novel VB  project and expend the ActiveX controls which are Put 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 genuine enough.
  • The ply you selected will now exhibit up within the toolbox, the location that you would live 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 true Questions and Pass4sure dumps

    Some Microsoft employees maintain 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 augment troopers' shut-combat killing capabilities in urban environments. 

    "Soldier lethality may live vastly superior through cognitive training and superior sensors, enabling squads to live first to discover, decide, and engage. Accelerated structure of these capabilities is faultfinding to pick up well and maintain overmatch," the U.S. military spoke of in a youthful doc.

    a bunch of Microsoft workers the usage of the Twitter tackle 'Microsoft workers 4 decent' on Friday posted an open missive 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 mark in to strengthen weapons, and they exact a whisper 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 maintain 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 missive reads. 

    "The utility of HoloLens within the IVAS gadget is designed to aid individuals kill. It will live 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 industry 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 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 rigor stream to a different division. 

    Microsoft employees whisper Smith's recommendation "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 wait 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 live used to assist architects and engineers build constructions and automobiles, to aid train americans the way to perform surgical procedure or play the piano, to push the boundaries of gaming, and to connect with the Mars Rover (RIP). These engineers maintain now misplaced their skill to obtain choices about what they labor on, in its location finding themselves implicated as fight profiteers."  

    Microsoft pointed out in a press release to ZDNet's sister web page CNET it had cited its location 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 maintain now also said, we'll remain engaged as an lively corporate subject 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 labor to modernize IT for the Immigration and clients Enforcement (ICE) to assist it expend abysmal getting to know for facial awareness. 

    old and related insurance

    Microsoft's HoloLens 2: Why it's truly totality 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 totality about landing cloud subscriptions.

    Microsoft's HoloLens 2 can live in a position to prick the Firefox browser natively

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

    HoloLens 2: How Microsoft plans to obtain augmented fact into your industry reality

    Can industry expend instances elevate HoloLens 2 from the flat of curiosity to a company maintain to-have?

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

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

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

    Surgeons at St Mary's health facility maintain 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 astronomical Blue.

    Google: right 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 constrict since it may fight with its AI principles towards establishing weapons.

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

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

    Microsoft HoloLens: Cheat sheet TechRepublic

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

    Microsoft people muster for quit to HoloLens constrict with US army  CNET

    "We didn't mark up to improve weapons," says the group.


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

    if you are an industry or an organization with combined reality options, here’s a very genuine word 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 maintain an effect 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 affection structure 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 felicitous their environmental wants.

    Microsoft nowadays highlighted that Trimble is the first accomplice to grasp talents of the HoloLens Customization application. The Trimble XR10 with Microsoft HoloLens 2 is a novel 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 also live 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 true 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 maintain Come to the right place.

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

    This is a much handicap 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 right determination to start your programming journey with Python. Many beginners, students and people starting with programming anticipate this question to me every day. Should I start with Python or Java? Even though I am a Java developer, I anticipate people to start with Python because of its awesome and multi-purpose features.

    Python is facile to learn, easier compared to even Java. You can also write diminutive Python scripts to quickly automate things you normally execute manually and that provides a much value to beginners.

    Python is also 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 maintain always advised totality my readers and students fade along with SQL and UNIX, you should also learn Python. One of the much programming skill every programmer should have. That’s the reason I maintain 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 novel technology I usually follow my 3 point model affection join an online course, buy a book, and execute a project. This way I maintain mastered several novel technologies totality by myself without going into expensive coaching classes or boot camps and nothing beats free resources to start with. In the past I maintain shared free books to learn Python and today I will participate some of the best online courses you grasp to learn Python Programming for free. The project allotment is something which you can execute 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 consummate course for you.

    This is quite unbelievable that the instructor himself is a 17-year-old student and this Python course maintain more than 130K students enrolled in Udemy, which speaks volume about the course.  Here is the link to join the course: Introduction To Python Programming This course is a one-stop-shop for everything you’ll need 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 also teaches you file manipulation and functions. In short, a Quick and facile 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 smack 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 join the course for FREE: Python for Absolute Beginners

    The best allotment of the course is that every novel concept is taught with source code slides and drill problems for you to labor through. You will also live provided with downloadable solutions to the drill 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 maintain been looking to obtain a hands-on learning smack with Python. It teaches you programming concepts right from the basics of Python. Since Python is facile to learn, it also makes it facile to learn to programme.

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

    The course also provides a lot of exercise problems, programming lectures, PDF notes for a complete smack 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 separate 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 model for those who haven’t programmed before, but it should also labor 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 join the course for FREE: Python Programming for Absolute Beginners You will start from scratch and by the quit 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 also 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 medium 4.3 ratings from close 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 discipline you how to structure your Python code by making expend of Classes and Objects. You will also 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 join the course: Learn Python 3 From Scratch

    At the quit of this course, you will live 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 maintain 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 execute 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 astronomical Data and Apache Spark 5 Free Courses to Learn Git and Github Thanks for reading this article so far. If you affection these free Python courses then gladden participate with your friends and colleagues. If you maintain any questions or feedback then gladden drop a note.

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

    This anecdote 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 true questions and Pass4sure dumps

    The talent 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 quality concurrent code can live a true headache, but this article aims to demonstrate how facile it is to pick up started writing threaded programs in Python. Due to the large number of modules available in the measure library which are there to aid out with this kind of thing, it’s often the case that simple concurrent tasks are surprisingly quick to implement.

    We’ll walk through the contrast between threads and processes in a Python context, before reviewing some of the different approaches you can grasp 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, maintain 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 viable for threads to grasp handicap of multi-core systems. Note that if there are blocking operations which befall outside Python, long-wait tasks affection I/O for instance, then the GIL is not a bottleneck and writing a threaded program will quiet live 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 totality this is that if you need legal parallelism and need to leverage multi-core CPUs, threads won’t slice it and you need to expend processes. A part process means a part interpreter with part memory, its own GIL, and legal parallelism. This pilot will give examples of both thread and process architectures.

    The concurrent.futures module

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

    Here’s an example where they want to download some webpages, which will live 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 redeem 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 obstruct which contains the threading-specific code. Note how facile 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 model solution. However, if the operation in question was something which was CPU intensive within Python, processes would likely live more preempt because of the restrictions of the GIL. In that case, they could maintain 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 redeem 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 obtain an instance of the threading.Thread class, specifying what they would affection their worker office to be, and the arguments required.

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

    This is an example of when the threading module’s multitude of options could live useful: they can tag 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 totality 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 live 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 live 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 tag tasks as done is as simple as this:

    from queue import Queue # maxsize=0 means sempiternal 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 totality access the queue and wait for tasks to Come 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 redeem 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 example totality the tasks were added in one fade for the sake of brevity, but in a true 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 detailed control of threads, but what if they want this finer flat of control for processes? You might believe that this would live more challenging since once a process is launched, it’s completely part and independent – harder to control than a novel thread which remains within the current interpreter and memory space.

    Fortunately for us, the Python developers worked hard 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 redeem 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 believe it’s awesome that Python manages to withhold the same syntax between the threading and multiprocessing modules, when the action taking location 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 dispatch it through a pipe between processes – a very convenient abstraction.

    Summary

    Writing concurrent code in Python can live a lot of fun due to the inbuilt language features that abstract away a lot of problems. This doesn’t signify that a detailed flat of control cannot live 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 true questions and Pass4sure dumps

    Page 1

    Question 1 1. A data kind where values can only represent 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 also referred to as:

    Question 5 5. What is the greatest handicap 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 novel code for her company's payroll department to assist with the roll-out of a novel pay for performance system. The novel code will strike employees' pay grades, salaries, and bonuses. Gwen has written pseudo-code and the actual code. What should live her next step in the process?

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

    Question 18 18. What is an example 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() 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 ply 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 example of which of the following ways that workflow can live controlled in a program?

    a = 1

    if a > 7:

    print 'I'm not fervor 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 note the next set of questions. You can skip questions if you would affection and Come back to them later with the yellow "Go To First Skipped Question" button. When you maintain completed the drill exam, a green submit button will appear. Click it to note your results. genuine luck!



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    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 0078021782
    ISBN13 : 9780078021787
    Our ISBN10 : 1260084493
    Our ISBN13 : 9781260084498
    Subject : Business & Economics
    Price : $65.00
    Understanding BusinessUnderstanding Business
    By William G Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Feb 2018)
    ISBN10 : 126021110X
    ISBN13 : 9781260211108
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $75.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (May 2018)
    ISBN10 : 1260682137
    ISBN13 : 9781260682137
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $80.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1260277143
    ISBN13 : 9781260277142
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $77.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1259929434
    ISBN13 : 9781259929434
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $76.00
    98-38198-381
    By Peter W. Cardon
    Publisher : McGraw-Hill (Jan 2017)
    ISBN10 : 1260128474
    ISBN13 : 9781260128475
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $39.00
    98-38198-381
    By Peter Cardon
    Publisher : McGraw-Hill (Feb 2017)
    ISBN10 : 1260147150
    ISBN13 : 9781260147155
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $64.00
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