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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 denomination : Introduction to Programming Using Python
Vendor denomination : 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 course to software an NI DAQ hardware outfit 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 exercise size Studio for visual Studio which offers additional tools to live used with NI-DAQmx, although measurement Studio isn't required to exercise 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 piece of the NI-DAQmx driver and does not require measurement Studio.

If dimension Studio is withhold in it is going to provide assist for visible Studio offers autochthonous .internet character 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 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 attain not exist, construct certain you've got .internet advocate withhold in for NI-DAQmx.

extra examples using measurement Studio and NI-DAQmx are available. These examples are available within the measurement Studio aid and can besides 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 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 novel purposes.

countrywide instruments doesn't give autochthonous .web add-ons for natural NI-DAQ (Legacy).

that you could exercise the mediocre NI-DAQ ActiveX controls to role 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 exercise the ActiveX controls which are withhold in with typical NI-DAQ. so as to add the CWDAQ ActiveX Controls to a .web challenge, comprehensive here steps:

inside a .web mission, opt for View » Toolbox from the pull-down menu.

The Toolbox will seem. appropriate-click on in the toolbox and select Add/eliminate gadgets.

The personalize Toolbox will seem. opt for the COM accessories tab.

On this tab, that you may elect the selected CWDAQ manage you are looking to exercise and click satisfactory enough.

The ply you selected will now exhibit up within the toolbox, the state that you would live able to drag and drop it onto the form.

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four. additional resources

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

Some Microsoft employees indulge in referred to as on the enterprise to ditch its $480m shrink 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 multiply 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 edifice of these capabilities is captious to collect 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 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 symptom in to strengthen weapons, and they demand a negate 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 indulge in 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 affray into a simulated 'video game', additional distancing soldiers from the grim stakes of struggle and the reality of bloodshed."

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

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

Google subsequently withdrew from the Pentagon's undertaking Maven software and published a set of AI ideas, through which it pledged in no course 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 shrink 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 negate 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 remain 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] shrink even existed, believing it will live used to assist architects and engineers build constructions and automobiles, to abet train americans the course to execute surgical procedure or play the piano, to thrust the boundaries of gaming, and to connect with the Mars Rover (RIP). These engineers indulge in now misplaced their skill to construct choices about what they work on, in its state finding themselves implicated as affray profiteers."

Microsoft pointed out in a press release to ZDNet's sister web page CNET it had cited its state 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 indulge in now besides said, we'll remain engaged as an dynamic corporate citizen 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 exercise abysmal getting to know for facial awareness.

old and related insurance

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

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

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

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

Can trade exercise instances elevate HoloLens 2 from the even of curiosity to a company indulge in to-have?

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

or not it's handy to referee that for a bit of technology to construct an impact that it needs to live some thing within the customer area. Microsoft is appropriate to intention the HoloLens 2 squarely at the commercial enterprise space.

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

Surgeons at St Mary's health facility indulge in 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 vast Blue.

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

Google might not bid for the arm of defense's massive cloud shrink since it may affray with its AI principles towards establishing weapons.

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

Microsoft is birth to roll out its first home windows 10 feature supplant 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 capture on VR headsets? not in any respect. here's what trade execs should learn about HoloLens.

Microsoft people convoke for discontinue to HoloLens shrink with US army CNET

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

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

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

notwithstanding HoloLens has been confirmed and located to comply to the basic indulge in an upshot 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 fancy edifice 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 course to allow any individual to customize HoloLens 2 to apt their environmental wants.

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

supply: Microsoft

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Introduction to Programming Using Python

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 indulge in approach to the birthright place.

Earlier, I indulge in shared a couple of free Python Programming eBooks sand today I’ll share a couple of satisfactory Python programming courses which are absolutely FREE!! You can capture 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 birthright decision to start your programming journey with Python. Many beginners, students and people starting with programming inquire this question to me every day. Should I start with Python or Java? Even though I am a Java developer, I inquire people to start with Python because of its awesome and multi-purpose features.

Python is simple to learn, easier compared to even Java. You can besides write minuscule Python scripts to quickly automate things you normally attain manually and that provides a much value to beginners.

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

This seriously makes learning Python an notable skill which will pay you throughout your career. I indulge in always advised complete my readers and students proceed along with SQL and UNIX, you should besides learn Python. One of the much programming skill every programmer should have. That’s the judgement I indulge in 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 succeed my 3 point model fancy combine an online course, buy a book, and attain a project. This course I indulge in mastered several novel technologies complete by myself without going into expensive coaching classes or boot camps and nothing beats free resources to start with. In the past I indulge in shared free books to learn Python and today I will share some of the best online courses you capture to learn Python Programming for free. The project piece is something which you can attain 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 extraordinary that the instructor himself is a 17-year-old student and this Python course indulge in more than 130K students enrolled in Udemy, which speaks volume about the course. Here is the link to combine the course: Introduction To Python Programming This course is a one-stop-shop for everything you’ll need to know to collect started with Python, along with a few incentives.

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

The course besides teaches you file manipulation and functions. In short, a Quick and simple 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 experience whatsoever. This course starts Python programming from scratch, showing you everything from how to set up a Python IDE to how to exercise list comprehensions.

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

The best piece of the course is that every novel concept is taught with source code slides and rehearse problems for you to work through. You will besides live 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 indulge in been looking to obtain a hands-on learning experience with Python. It teaches you programming concepts birthright from the basics of Python. Since Python is simple to learn, it besides makes it simple to learn to programme.

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

The course besides provides a lot of exercise problems, programming lectures, PDF notes for a complete experience 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 lone 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 complete 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 besides work for experienced programmers who want to learn Python as long as they don’t collect offended by a few extra explanations.

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

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

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

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

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

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

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

At the discontinue 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 indulge in 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 attain 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 vast Data and Apache Spark 5 Free Courses to Learn Git and Github Thanks for reading this article so far. If you fancy these free Python courses then gratify share with your friends and colleagues. If you indulge in any questions or feedback then gratify drop a note.

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

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

It’s sadly the case that writing trait concurrent code can live a real headache, but this article aims to demonstrate how simple it is to collect started writing threaded programs in Python. Due to the large number of modules available in the benchmark library which are there to abet out with this benign of thing, it’s often the case that simple concurrent tasks are surprisingly quick to implement.

We’ll walk through the dissimilarity between threads and processes in a Python context, before reviewing some of the different approaches you can capture 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 notable 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, indulge in 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 feasible for threads to capture handicap of multi-core systems. Note that if there are blocking operations which happen outside Python, long-wait tasks fancy I/O for instance, then the GIL is not a bottleneck and writing a threaded program will silent 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 recollection 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 complete this is that if you need steady parallelism and need to leverage multi-core CPUs, threads won’t crop it and you need to exercise processes. A divide process means a divide interpreter with divide memory, its own GIL, and steady parallelism. This usher 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 course to implement threads and processes. For many basic applications, the simple to exercise Pool interface offered here is sufficient.

Here’s an instance 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 deliver webpage.""" r = requests.get(page_info['url']) with open(page_info['name'] + '.html', 'w') as save_file: save_file.write(r.text) if __name__ == '__main__': pool = ThreadPoolExecutor(max_workers=10) for download in download_list: pool.submit(download_page, download)

Most of the code is just setting up their downloader example; it’s only the final screen which contains the threading-specific code. Note how simple it is to create a dynamic pool of workers using ThreadPoolExecutor and submit a task. They could even simplify the final 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 live more appropriate because of the restrictions of the GIL. In that case, they could indulge in simply switched out ThreadPoolExecutor with ProcessPoolExecutor.

The threading module

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

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

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

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

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

This is an instance of when the threading module’s host of options could live useful: they can symptom 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 complete 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 symptom 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 exercise it to create a tasks queue for their website downloader. We’ll create a group of worker threads which can complete access the queue and wait for tasks to approach in.

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

Note that in this instance complete the tasks were added in one proceed 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 minute control of threads, but what if they want this finer even of control for processes? You might referee that this would live more challenging since once a process is launched, it’s completely divide and independent – harder to control than a novel thread which remains within the current interpreter and recollection space.

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

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

We referee it’s awesome that Python manages to retain the same syntax between the threading and multiprocessing modules, when the action taking state 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 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 import that a minute even 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 real questions and Pass4sure dumps

Page 1

Question 1 1. A data character 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 character is besides 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 influence 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 profit an individual who is writing code?

Page 4

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

Question 17 17. What is the weight 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 recollection location that can store a value within a program is called a/an:

Page 5

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

Question 22 22. Which role 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 notable 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 live controlled in a program?

a = 1

if a > 7:

print 'I'm not passion lucky.'

else:

print 'I'm a winner.'

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

Introduction to Python Programming Chapter Exam Instructions

Choose your answers to the questions and click 'Next' to contemplate the next set of questions. You can skip questions if you would fancy and approach back to them later with the yellow "Go To First Skipped Question" button. When you indulge in completed the rehearse exam, a green submit button will appear. Click it to contemplate your results. satisfactory luck!

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