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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
Q&A : 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 equipment or module using visual simple .web with NI-DAQmx or normal NI-DAQ (Legacy).

1. Introduction

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

back to correct

2. NI-DAQmx
  • countrywide gadgets offers a native .net API for NI-DAQmx. this is purchasable as part 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 native .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 Assistant for code technology, integrated visible Studio assist, person interface .internet controls, and assignment wizards.
  • Examples are covered with NI-DAQmx and might be discovered at:
  • C:\documents and Settings\All users\documents\countrywide contraptions\NI-DAQ\Examples\DotNET<.internet Framework edition> orC:\clients\<consumer identify>\files\countrywide instruments\NI-DAQ\Examples\DotNET<.internet Framework version>

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

    note: If the paths above do not exist, make certain you've got .internet support 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 be discovered at:
  • C:\files and Settings\All users\documents\country wide instruments\MStudioVS<visible Studio edition>\DotNet\Examples orC:\users\<consumer identify>\documents\countrywide devices\MStudioVS<visible Studio version>\DotNet\Examples

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

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

    3. natural NI-DAQ (Legacy)
  • NI-DAQmx changed traditional NI-DAQ (Legacy) in 2003.  NI strongly recommends using NI-DAQmx for brand spanking new purposes. 
  • countrywide instruments doesn't give native .web add-ons for natural NI-DAQ (Legacy).
  • that you could use the average 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 new VB  project and use 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 choose the selected CWDAQ manage you are looking to use and click good enough.
  • The handle you selected will now exhibit up within the toolbox, the place that you would be able to drag and drop it onto the form.
  • back to exact

    four. additional resources

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

    Some Microsoft employees have 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 increase troopers' shut-combat killing capabilities in urban environments. 

    "Soldier lethality may be vastly superior through cognitive training and superior sensors, enabling squads to be first to discover, decide, and engage. Accelerated building of these capabilities is critical to get 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 we developed. We did not sign in to strengthen weapons, and we demand a say in how our 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 have over a hundred and fifty signatures from fellow personnel.

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

    "The utility of HoloLens within the IVAS gadget is designed to aid individuals kill. It will be deployed on the battlefield, and works via turning 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 business price of VR and AR (free e-book)    

    Google subsequently withdrew from the Pentagon's undertaking Maven software and published a set of AI ideas, through which it pledged in no 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 difficulty stream to a different division. 

    Microsoft employees say 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 be used to assist architects and engineers build constructions and automobiles, to help 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 have now misplaced their skill to make choices about what they work on, in its place finding themselves implicated as conflict profiteers."  

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

    "We're committed to presenting our expertise to the USA department of defense, which comprises the U.S. army under this contract. As we have now also said, we'll remain engaged as an active corporate citizen in addressing the essential moral 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 use deep getting to know for facial awareness. 

    old and related insurance

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

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

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

    HoloLens 2: How Microsoft plans to make augmented fact into your business reality

    Can business use instances elevate HoloLens 2 from the level of curiosity to a company have to-have?

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

    or not it's handy to think that for a bit of technology to make an impact that it needs to be some thing within the customer area. Microsoft is appropriate to intention 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 make operations better

    Surgeons at St Mary's health facility have 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: right here's why we're pulling out of Pentagon's $10bn JEDI cloud race

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

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

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

    Microsoft HoloLens: Cheat sheet TechRepublic

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

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

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


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

    if you are an business or an organization with combined reality options, here’s a very good 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 have 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 like 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 way to allow any individual to customize HoloLens 2 to fit their environmental wants.

    Microsoft nowadays highlighted that Trimble is the first accomplice to take talents of the HoloLens Customization application. The Trimble XR10 with Microsoft HoloLens 2 is a new 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 be used via astronauts on properly of their helmets.

    supply: Microsoft


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    Introduction to Programming Using Python

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    5 Free Courses to Learn Python in 2019 | killexams.com 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 have come to the right place.

    Earlier, I have shared a couple of free Python Programming eBooks sand today I’ll share a couple of good Python programming courses which are absolutely FREE!! You can take these online courses to learn Python at your own pace, at your own time, and at your place.

    This is a great advantage 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 decision to start your programming journey with Python. Many beginners, students and people starting with programming ask this question to me every day. Should I start with Python or Java? Even though I am a Java developer, I ask 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 also write small Python scripts to quickly automate things you normally do manually and that provides a great value to beginners.

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

    This seriously makes learning Python an important skill which will pay you throughout your career. I have always advised all my readers and students go along with SQL and UNIX, you should also learn Python. One of the great programming skill every programmer should have. That’s the reason I have listed is one of the essential tools for programmers.

    5 Free Courses to Learn Python Programming

    Now that you know that learning Python is great for your programming career its time to actually learn Python. Whenever I start with a new technology I usually follow my 3 point model like join an online course, buy a book, and do a project. This way I have mastered several new technologies all by myself without going into expensive coaching classes or boot camps and nothing beats free resources to start with. In the past I have shared free books to learn Python and today I will share some of the best online courses you take to learn Python Programming for free. The project part is something which you can do 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 perfect course for you.

    This is quite amazing that the instructor himself is a 17-year-old student and this Python course have 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 get started with Python, along with a few incentives.

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

    The course also 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 great 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 experience whatsoever. This course starts Python programming from scratch, showing you everything from how to set up a Python IDE to how to use list comprehensions.

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

    The best part of the course is that every new concept is taught with source code slides and practice problems for you to work through. You will also be provided with downloadable solutions to the practice problems. This learn-by-doing approach is great 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 have been looking to obtain a hands-on learning experience with Python. It teaches you programming concepts right from the basics of Python. Since Python is easy to learn, it also makes it easy 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 experience and everything are free of cost. In short, a great 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 great 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 ideal for those who haven’t programmed before, but it should also work for experienced programmers who want to learn Python as long as they don’t get offended by a few extra explanations.

    Here is the link to join the course for FREE: Python Programming for Absolute Beginners You will start from scratch and by the end 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 social proof the course has got on average 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 perfect course for you.

    This course will teach you how to structure your Python code by making use 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 end of this course, you will be able to write your own Python 3 programs in Python!

    Learn Python 3 From Scratch

    That’s on this list of free Python Programming courses for beginners. As I have 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 do 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 like these free Python courses then please share with your friends and colleagues. If you have any questions or feedback then please drop a note.

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

    This story is published in The Startup, Medium’s largest entrepreneurship publication followed by +415,678 people. Subscribe to receive our 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 quality concurrent code can be a real headache, but this article aims to demonstrate how easy it is to get started writing threaded programs in Python. Due to the large number of modules available in the standard library which are there to help 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 difference between threads and processes in a Python context, before reviewing some of the different approaches you can take 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 impact it has on which approach you select when writing asynchronous Python. The most important 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, have 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 take advantage of multi-core systems. Note that if there are blocking operations which happen outside Python, long-wait tasks like I/O for instance, then the GIL is not a bottleneck and writing a threaded program will still be a benefit. However, if the blocking operations are largely crunching through CPython bytecode, then the GIL becomes a bottleneck.

    Why was the GIL introduced at all? It makes 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 all this is that if you need true parallelism and need to leverage multi-core CPUs, threads won’t cut it and you need to use processes. A separate process means a separate interpreter with separate memory, its own GIL, and true parallelism. This guide will give examples of both thread and process architectures.

    The concurrent.futures module

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

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

    """Download webpages in threads.""" import requests from concurrent.futures import ThreadPoolExecutor download_list = [ {'name': 'google', 'url': "http://google.com"}, {'name': 'reddit', 'url': "http://reddit.com"}, {'name': 'ebay', 'url': "http://ebay.com"}, {'name': 'bbc', 'url': "http://bbc.co.uk"} ] def download_page(page_info): """Download and save 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 our downloader example; it’s only the last block which contains the threading-specific code. Note how easy it is to create a dynamic pool of workers using ThreadPoolExecutor and submit a task. We 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 ideal solution. However, if the operation in question was something which was CPU intensive within Python, processes would likely be more appropriate because of the restrictions of the GIL. In that case, we could have simply switched out ThreadPoolExecutor with  ProcessPoolExecutor.

    The threading module

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

    Let’s re-implement the website downloader we 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 save 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 we want to create, we make an instance of the threading.Thread class, specifying what we would like our worker function 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 all the web pages. Unfortunately, since Python waits for all threads to finish executing before it exits, the program will never exit and the status updater thread will never stop printing.

    This is an example of when the threading module’s multitude of options could be useful: we can mark 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 all downloader threads are finished.

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

    The combination of threading and queues

    So far we’ve only looked at cases where we know exactly what we want the threads to be working on when we start them. However, it’s often the case that we 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 mark 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 use it to create a tasks queue for our website downloader. We’ll create a group of worker threads which can all 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 save 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 all the tasks were added in one go for the sake of brevity, but in a real application the tasks could trickle in at any rate. Here we exit the program when the tasks queue has been fully completed, using the .join() method.

    The multiprocessing module

    The threading module is great for detailed control of threads, but what if we want this finer level of control for processes? You might think that this would be more challenging since once a process is launched, it’s completely separate and independent – harder to control than a new 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 our examples above. Our 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 save 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 think it’s awesome that Python manages to keep the same syntax between the threading and multiprocessing modules, when the action taking place under the hood is so different.

    When it comes to distributing data between processes, the queue.Queue that we 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 be a lot of fun due to the inbuilt language features that abstract away a lot of problems. This doesn’t mean that a detailed level of control cannot be achieved either, but rather that the barrier to getting started with simple tasks is lowered. So when you’re stuck waiting for one process to finish before starting the next, give one of these techniques a try.


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

    Page 1

    Question 1 1. A data type 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 type is also referred to as:

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

    Question 15 15. How does using a debugger in an integrated development environment 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 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() 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 handle 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 important 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 be controlled in a program?

    a = 1

    if a > 7:

    print 'I'm not feeling 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 like and come back to them later with the yellow "Go To First Skipped Question" button. When you have completed the practice exam, a green submit button will appear. Click it to see your results. Good luck!



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