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CCC exam Dumps Source : Course on Computer Concepts

Test Code : CCC
Test Name : Course on Computer Concepts
Vendor Name : NIELIT
: 128 Real Questions

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UCLA desktop science neighborhood to cling town hall seeking coursework adjustments | killexams.com Real Questions and Pass4sure dumps

computer science college students, frustrated with the branch’s lack of useful courses, are asking faculty to create coursework that more desirable prepares them for his or her careers.

UCLA’s chapter of association for Computing equipment, a scholar-run organization, Upsilon Pi Epsilon and the UCLA computing device science department are maintaining a laptop science city corridor Feb. 20 to discuss college students’ issues about an absence of practicality in the department’s courses.

Yvonne Chen, a third-12 months desktop science scholar and president of UCLA ACM, mentioned in a facebook submit merchandising the experience she thinks the city hall will supply college students a chance to deliver enter on the way to increase the essential.

“we have an easy possibility to alternate UCLA computer science for the superior,” Chen referred to within the put up.

Chen referred to present lessons are in general focused on the theories underlying computing device programming, comparable to algorithm evaluation and design facets of programming languages. She stated they are sometimes not at once applicable to most fresh traits in programming.

ACM sends out an annual survey to laptop science college students to gauge their delight with the lessons provided. Responses from more than 200 undergraduates who study computer science confirmed that students want more thorough and hands-on initiatives in classes comparable to laptop imaginative and prescient, desktop gaining knowledge of and human-computing device interplay, Chen referred to.

Kevin Tan, a 3rd-year computing device science student and president of UCLA ACM Hack, a subsidiary of UCLA ACM, said he also desires to exchange the branch’s curriculum.

“we have a prosperous theoretical curriculum,” Tan observed. “(but) there's nowhere in their curriculum where which you can be taught functional net development or mobile building.”

This quarter, Tan wanted to teach a class on a way to design iPhone apps the use of iOS utility as a part of the Undergraduate student Initiated education software, in which students can train seminars to their friends.

although, when he tried to get his college advisor’s consent to teach the route, he become informed the topic was too purposeful. Tan and his consultant agreed to offer a greater idea-primarily based iOS app design classification instead.

Tan pointed out he thinks extra functional courses would give college students the adventure to work on precise-world tasks, equivalent to app construction, that could seem more suitable to future employers.

He additionally talked about computing device science courses often require students to observe the initiatives’ guidance note-for-note and infrequently go away room for creativity.

“computing device science college students aren't frequently given a chance to design things of their personal,” Tan talked about. “confidently I can provide americans the standpoint of the way to design the specification within the first place.”

Richard Korf, the vice chair of undergraduate studies in the computing device science branch, stated he regularly attends the annual laptop science city hall. He mentioned he thinks college are liable for preserving the courses updated and that instructors count on pupil feedback for direction content material design.

Korf stated school is doing their choicest to consist of functional classes, nevertheless it is problematic to make sure the classes are kept up to date with the perpetually evolving container of computing device science. He referred to while lots of the classes provided are more concept-based mostly, it is vital to teach computing device science students primary ideas to prepare them for the team of workers.

“given that they now have four years to train individuals to be productive authorities for forty years, they should focal point on truly staple items,” he noted.

He brought seeing that languages and structures that are considered greater productive gain and lose recognition right away, students would advantage extra from studying simple ideas that are not going to change.

Korf said the branch teaches students how to feel and trains them to be issue solvers.

Chen and Tan spoke of they agree having a theoretical groundwork is critical, but they suppose useful and applicable lessons are essential in making ready students for programming careers.

“It’s all about stability,” Tan pointed out. “it's essential to have that basis, however there may still also be encouragements to explore functional potential that don't seem to be shoved to student agencies.”

Tan referred to since the computing device science branch has no longer provided sufficient functional classes, many computer science golf equipment have had to take on the function of providing functional training for college students.

He said the laptop science department informed him the branch wouldn't have to make its coursework more purposeful, for the reason that many scholar corporations already give opportunities for functional training.

Tan added despite the fact college students can be trained from each and every different via these golf equipment, they might benefit greater from departmental help.


The superior online courses for discovering Python | killexams.com Real Questions and Pass4sure dumps

in case you’re trying to study coding or wish to decide on up a different programming language, Python is a sensible choice. one of the vital exceptional issues about Python is how carefully it resembles the English language, so that you’ll frequently see words like “not,” “in,” and “or” in its scripts. on account of its readability, Python is generally the primary programming language faculties train. It’s a very good launchpad for an aspiring coder

premiere online courses for Python at a look

Our picks for the top of the line subscription / charge-based Python lessons and tutorials

Now you might be asking: What are you able to do with Python? Python is the respectable language of Google, it powers Instagram, and it even runs on chips Intel tests. It’s a scripting language that can automate all styles of tasks, large or small. that you may do pretty much anything else with Python for you to do with other languages. however it also has some diverse merits.

The Python abilities

lots of Python’s benefits stem from the huge range of libraries it has collected considering launching in 1991. These libraries may also be notion of as tools or programs that deal with a lot of the coding for you. for example, libraries like Requests, BeautifulSoup, and Scrapy can extract facts from webpages. whereas Pandas, SciPy, and NumPy can help you manipulate and analyze large datasets.

That’s why developers commonly flip to Python for information science, information, net scraping, and artificial intelligence, nevertheless it’s additionally advancing into net development. Python and its tools can also open doors to a brand new career or a merchandising. The common each year revenue for a Python developer in the U.S. is more than $a hundred,000, in response to indeed.

stack overflow coding traffic graphDieter Holger/PCWorld

Python is now the most trafficked language on Stack Overflow.

It’s also more likely to reside principal for years to come. according to the 2018 Stack Overflow Developer Survey, just about two-fifths of coders on the mp;A web page noted they use Python. The language has gained in popularity from final year, surpassing C# and taking the seventh spot among coding languages. so that you’ll locate a number of tutorials, explainers, and a large energetic on-line group to help you alongside your coding journey.

“tendencies in language recognition mirror what's important in the application trade common,” says Julia Silge, a data scientist at Stack Overflow. “essential shifts, just like the rise of Python, exhibit us how a great deal have an impact on records science and computing device getting to know are having within the actual world for precise companies.”

study Python online

So how are you able to get began? in case you don’t have time to attend a actual coding college or you need to save cash, gaining knowledge of Python in an online category is a valuable choice. I’ve culled one of the most better of those online lessons beneath.

Some courses i tried myself, but others I chosen according to their consumer studies, popularity, and breadth of material. With quite a lot of lengths, difficulty degrees, and specialization, you’re bound to locate one that meets your particular needs.

lynda Lynda.com

Lynda.com is just one of many on-line-researching sites that offer an array of Python courses.

ultimate subscription-primarily based Python classes

For a month-to-month subscription charge, on-line schooling sites like Lynda, Coursera, Skillshare, and others present a wide selection of lessons that you can choose between for discovering at your own tempo. subjects range from design to enterprise to photography. but coding is likely one of the most widespread, which means you’ll encounter a multitude of alternate options for learning Python. What’s greater, subscription alternate options typically present a free or discounted trial length, so you can gauge your pastime earlier than committing to the full cost.

Python For EverybodyRemove non-product link

Pricing: 7-day trial, then $forty nine per 30 days

problem level: newbie

size: 128 hours complete

This category on Coursera from the college of Michigan is for comprehensive newcomers to programming. After a familiar introduction to programming, the course teaches you how to use Python to extract data from the internet and work with databases. It’s a good demonstration of how Python will also be valuable for managing huge datasets. The direction suggests eight hours per week for 4 months.

studying Python with PyCharmRemove non-product link

Pricing: 1-month trial, then $25 per 30 days

difficulty stage: beginner

size: 2 hours, half-hour complete

knowing a way to work with IDE utility, which stands for built-in building ambiance, is primary for any coder. almost, IDEs are superior text editors for writing code. This course from Lynda teaches you the fundamentals of Python with PyCharm, which is the one of the most customary IDEs for the language.

DataCampRemove non-product hyperlink

Pricing: nine beginner classes free, then $25 per thirty days

problem stage: newbie to intermediate

size: Varies through path, usually 4 to 10 hours each and every

DataCamp is an online portal filled with new and regularly up to date courses in most cases concentrated on records science for R and Python languages. The website presents diverse skill and profession tracks for Python, which include numerous courses with a specific focal point, be it programming, data analytics, or facts science. each path on the web site aspects interactive exercises, video clips, and quizzes to assist you study.

predict to get a draw close on extracting and dealing with records, the use of statistical libraries reminiscent of Pandas and NumPy, and developing charts to visualize your statistics. DataCamp also has every day quizzes and projects you could address the use of real-world datasets. both new coders and builders looking to brush up on their advantage will locate this website rewarding.

datacamp DataCamp

choose certainly one of DataCamp’s profession tracks after which comply with the prescribed choice of lessons toward that goal.

finest one-time-fee Python classes

if you’d want to purchase permanent access to a single direction, you then can also need to trust enrolling in an internet class from websites like edX, Udemy, and Udacity. These lessons are typically a great deal longer and have greater content than classes on subscription-based on-line schooling websites. And don’t be intimidated by way of the fees: that you may consistently discover classes marked down via as a whole lot as 95 p.c.

Introduction to Python: Absolute beginner

Pricing: Free or $ninety nine with certificate

problem: beginner

length: 5 weeks, 3 to four hours a week

Microsoft created this free edX path to advertise coding and supply a top level view of the language for comprehensive newcomers. It teaches you the fundamentals of Python through Jupyter Notebooks, which is an interactive coding ambiance hosted in an internet browser. predict to be taught the necessities of programming together with how to reuse capabilities. After you finished this direction, that you could take the next level from Microsoft referred to as Introduction to Python: Fundamentals.

Introduction to computing device Science and Programming the use of PythonRemove non-product link

Pricing: Free, or $49 with certificate

problem stage: beginner to intermediate

size: a hundred thirty five hours

This online direction from MIT on edX is ultimate in case you’re looking for an introduction to laptop science with Python. It starts with a conventional overview of computer science earlier than going into statistics science thoughts. The category recommends 15 hours per week throughout nine weeks, making it more annoying than many introductory lessons.

actual instructors from MIT teach the direction through a mix of lecture video clips, readings, and assignments. Like a regular school type, you’ll be expected to take tests and comprehensive a closing project. Be warned: This category isn’t easy and requires a working potential of algebra.

Python and Django Full Stack web Developer BootcampRemove non-product hyperlink

Pricing: $199

issue level: beginner to intermediate

size: 40 hours

Are you trying to build sites and internet apps however additionally are looking to gain knowledge of Python? No need to accept one or the different: which you can do both with this route from Udemy. You’ll gain knowledge of the fundamentals of building cell-pleasant interactive websites with HTML, CSS, and JavaScript. Python’s Django framework will convey the backend to shop facts for a persistent internet application.

fullstack Udemy

Preview lessons in Udemy to see what’s in shop.

AI Programming with PythonRemove non-product link

Pricing: $299

problem level: beginner to intermediate

size: 80 hours

one in every of Python’s strongest uses is in synthetic intelligence and laptop gaining knowledge of. This “nanodegree” route from Udacity goes over all the fundamentals of programming after which applies your new knowledge to build a neural community. The path recommends 10 hours every week over a two month period.

computer gaining knowledge of can aid teach a application to make more advantageous selections in accordance with records it consumes. The “smart reply” pre-written responses in Gmail is one example of machine gaining knowledge of and AI at work. based on an MIT expertise review custom and Google survey, a couple of-fifth of U.S. organisations observed 15 p.c or more of their IT finances became going to desktop learning in 2017. So here's a box that’s becoming and in need of programmers.

Georgia Tech: Introduction to Computing in PythonRemove non-product link

Pricing: $270

issue: newbie to intermediate

size: 20 weeks, 10 hours every week

here's a very finished course from Georgia Tech on edX. not most effective will you get a draw close on Python, but you’ll also be taught the fundamentals of desktop science and the theories in the back of programming, together with variables, operators, statistics buildings, error managing, and facts constructions. The route delivers all this fabric via a mix of brief movies, diverse choice assignments, and live programming problems. At 200 informed hours of guideline over 20 weeks, the route is the longest on their checklist.

Python I: EssentialsRemove non-product link

Pricing: $2,395

problem: Intermediate

size: 4 days

in case you need a greater structured course, this virtual school room from QuickStart should be would becould very well be the way to go. It places you in a 4-day intensive type with other college students and a are living instructor who walks you via substances, solutions questions, and oversees lab work.

This type will go over the basics of Python coding and extra develop ideas like APIs, leading to a certificates upon completion. indeed, QuickStart guarantees that you just should be “advantageous with Python instantly after the path.” but it’s not cheap: Seats go for virtually $2,500 a pop.

Is there an internet Python direction you feel should’ve made the list? electronic mail dieter_holger@idg.com and tell us!

To comment on this article and other PCWorld content, discuss with their facebook web page or their Twitter feed.

Abe Chen, Byton VP Of security, On The significance Of protection In Early Design stages — #CleanTechnica Interview | killexams.com Real Questions and Pass4sure dumps

February ninth, 2019 by Nicolas Zart 

BYTON Designer Benoit Jacob M-Byte K-Byte

protection appears to be a indistinct conception for most. With the steady movement of protection breaches taking their toll on organizations, carmakers don't have any alternative however to toughen up their safety by achieving out to safety organizations. contemporary mobility startups make it a priority by means of hiring protection specialists, hackers, and coders. both strategies have their professionals and cons.

For a part of their ongoing Byton interview collection, I met with Abe Chen, vice president of Digital expertise, who confirmed me how the mobility startup locations protection initially of the design system and not as an after-notion.

Taking Byton safety Into Consideration From Day One

to claim that Byton is desirous about security is a sarcasm. The business hired the Defcon vehicle Hacking Village two-time winner. Abe was capable of eliminate himself from a vehicle trunk, arms tied at the back of his back, in under two minutes.

Automotive open source security

I asked Abe what attracted him to a startup and why he joined Byton? He informed me that it became a way to proceed working in the safety trade in Silicon Valley and get into the automobile world. I additionally asked him concerning the challenges, both decent and unhealthy, of working in a startup.

One core challenge is inventing mobility protection. There is no guidebook and every thing must be written from scratch. It will also be disorganized from time to time, but it is additionally lots of enjoyable.

One issue I respect plenty about any startup involved in security is its use of open source. I asked Abe became Byton became doing with open source and protection. He told me Byton builds its safety connectivity items from the floor up. some of the outstanding things about startups is that you should have R&D and engineering work carefully collectively in a creative approach. this fashion, you could make certain everything is built-in from the starting. traditional carmakers usually let the product advertising group get a hold of concepts, which they hand off to engineering. however when security at last gets concerned, by way of that point it’s too late to make any fundamental adjustments. in many instances, the product gets shipped off knowingly requiring future updates and improvements. Abe mentioned he didn’t are looking to be a part of that and wanted their mobility platform to be constructed with safety at its core.

Open supply has a big competencies for startups. without doubt, Abe in my opinion embraces it. The supply code is obtainable and reviewed by using thousands and thousands. a problem is right away spotted and resolved. in lots of techniques, open supply accelerates building. Abe told me Byton is looking into opening some of its closed-supply modules returned to the community. one of the vital hardware specs may be open supply, above all automobile-to-automobile (V2V) and the broader V2X applied sciences developed in-residence.

Automotive open source security, Pixabay

Byton invests a lot of energy into automobile connectivity. Over-the-air (OTA) updates are wonderful but will also be expensive to clients. Byton is looking into how its vehicles could replace one a different. as an example, if you park underground, you may not get an OTA update. With a WiFi network greater conveniently purchasable, one Byton vehicle may replace an additional on the street.

I asked why not greater car groups embrace open source. Abe feels the greatest issue is their lack of figuring out of the licensing procedure. Open supply is set taking and giving again. That can also be daunting for a lot of focused on final analysis return on investment (ROI). in the main, certain carmakers believe extra comfortable with an off-the-shelf product with a simple guide gadget. unfortunately, it's an expensive answer for the customer. To do a very good job, a mobility enterprise needs to commit a complete crew to open supply.

How Open source could make Mobility more effective & lessen fees

asked about Byton’s safety philosophy, Abe feels most in the automotive trade depend on IT scripting and applies it to the auto trade. From his own event, it could’t always work well. It needs to be part of a core, in-condominium automobile safety groundwork that's developed from a mobility standpoint. He used the analogy of how it’s one component to hack into a cellphone or computing device and lose facts. It’s a further issue when it comes to a motor vehicle and human lives are at stake. automotive protection has to be part of the normal design and not an afterthought. There is not any such factor as 100% safety, however you can put into area compensating applied sciences in addition to redundant systems to return as close as possible to that.

Automotive open source security, Pixabay

Byton observed we’d be able to use their Byton profile or not — it’ as much as us. also, data created in the vehicle will reside in the location of that automobile. as an instance, in case you live in North the usa, your profile stays there. same element in Europe and Asia. Your profile and statistics live on your country’s facts centers.

where Byton feels it could differentiate itself from different mobility enablers is by asking in plain primary phrases about its security facets. as an example, there might be a popup asking in simple words if you would like to share certain counsel with Byton for a specific purpose. It might be made clear. Any strategies made, no matter if meals, leisure, or calendaring is in response to some thing suggestions is shared.

here is how Byton sees its artificial intelligence (AI) working. The greater customers let Byton know, the more the options develop into principal. Of route, that you may choose out of that service and nothing relevant could be suggested. It’s your option.

Abe instructed me they will be in a position to are attempting it out, and if you don’t like, the counsel can also be forgotten. however he did stress that Byton has no control over what third-birthday celebration features they might use can do. so far as Byton is concerned, even though, what’s essential is we’ll have handle over their protection profile.

Automotive open source security, Pixabay

If It’s Too respectable To Be actual, watch out!

I requested Abe about any customary safety ideas he could have and he informed me, if it’s too good to be proper, it’s doubtless no longer. that is the human element, the biggest protection chance. in case you have a wierd feeling, feel twice and don’t act rashly. If someone is claiming to be the IRS and threatens to throw you in detention center, it very undoubtedly will now not take place. The IRS doesn't warn you beforehand. The equal can be talked about about banks.

P.S. This became no longer a sponsored publish and i am no longer paid via Byton to cowl any of those topics.

Automotive open source security, Pixabay  

 

Tags: Abe Chen, car security, Byton, open supply, over the air updates, safety, safety design, V2V, Vex

concerning the creator

Nicolas Zart Nicolas turned into born and raised round classic vehicles of the Twenties, nevertheless it wasn't unless he drove an AC Propulsion eBox and a Tesla Roadster that the mild went on. Ever given that he has produced green mobility content material on quite a lot of CleanTech outlets considering 2007 and located his domestic on CleanTechnica. His communication passion resulted in cover electric vehicles, self sufficient motors, renewable power, test drives, podcasts, shoot images, and movie for various overseas retailers in print and online. Nicolas presents an in-depth look on the e-mobility world through interviews and the various contacts he has forged in those industries. His favorite taglines are: "There are extra options than limitations." and "the day prior to this's Future Now"


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UCLA computer science community to hold town hall seeking coursework changes | killexams.com real questions and Pass4sure dumps

Computer science students, frustrated with the department’s lack of practical classes, are asking faculty to create coursework that better prepares them for their careers.

UCLA’s chapter of Association for Computing Machinery, a student-run organization, Upsilon Pi Epsilon and the UCLA computer science department are holding a computer science town hall Feb. 20 to discuss students’ concerns about a lack of practicality in the department’s courses.

Yvonne Chen, a third-year computer science student and president of UCLA ACM, said in a Facebook post promoting the event she thinks the town hall will give students an opportunity to provide input on how to improve the major.

“We have an easy opportunity to change UCLA computer science for the better,” Chen said in the post.

Chen said current courses are mostly focused on the theories underlying computer programming, such as algorithm analysis and design features of programming languages. She said they are often not directly applicable to most recent developments in programming.

ACM sends out an annual survey to computer science students to gauge their satisfaction with the courses offered. Responses from more than 200 undergraduates who study computer science showed that students want more thorough and hands-on projects in courses such as computer vision, machine learning and human-machine interaction, Chen said.

Kevin Tan, a third-year computer science student and president of UCLA ACM Hack, a subsidiary of UCLA ACM, said he also wants to change the department’s curriculum.

“We have a rich theoretical curriculum,” Tan said. “(But) there is nowhere in their curriculum where you can learn practical web development or mobile development.”

This quarter, Tan wanted to teach a class on how to design iPhone apps using iOS software as part of the Undergraduate Student Initiated Education program, through which students can teach seminars to their peers.

However, when he tried to get his faculty advisor’s consent to teach the course, he was told the topic was too practical. Tan and his advisor agreed to offer a more theory-based iOS app design class instead.

Tan said he thinks more practical classes would give students the experience to work on real-world projects, such as app development, that would look better to future employers.

He also said computer science courses often require students to follow the projects’ instructions word-for-word and rarely leave room for creativity.

“Computer science students are not often given a chance to design things of their own,” Tan said. “Hopefully I can give people the perspective of how to design the specification in the first place.”

Richard Korf, the vice chair of undergraduate studies in the computer science department, said he regularly attends the annual computer science town hall. He said he thinks faculty are responsible for keeping the courses up-to-date and that instructors rely on student feedback for course content design.

Korf said faculty is doing their best to include practical courses, but it is difficult to make sure the courses are kept up-to-date with the constantly evolving field of computer science. He said while most of the courses offered are more theory-based, it is important to teach computer science students fundamental concepts to prepare them for the workforce.

“Given that they have four years to teach people to be productive professionals for 40 years, they have to focus on really basic things,” he said.

He added since languages and platforms that are considered more efficient gain and lose popularity quickly, students would benefit more from learning fundamental concepts that are unlikely to change.

Korf said the department teaches students how to think and trains them to be problem solvers.

Chen and Tan said they agree having a theoretical foundation is important, but they think practical and applicable courses are important in preparing students for programming careers.

“It’s all about balance,” Tan said. “It is important to have that foundation, but there should also be encouragements to explore practical skills that are not shoved to student groups.”

Tan said because the computer science department has not offered enough practical classes, many computer science clubs have had to take on the role of providing practical training for students.

He said the computer science department told him the department should not have to make its coursework more practical, since many student organizations already provide opportunities for practical training.

Tan added although students can learn from each other through these clubs, they would benefit more from departmental support.


The best online courses for learning Python | killexams.com real questions and Pass4sure dumps

If you’re looking to learn coding or want to pick up another programming language, Python is a good choice. One of the terrific things about Python is how closely it resembles the English language, so you’ll often see words like “not,” “in,” and “or” in its scripts. Because of its readability, Python is commonly the first programming language schools teach. It’s a great launchpad for an aspiring coder

Best online courses for Python at a glance

Our picks for the best subscription / fee-based Python courses and tutorials

Now you might be asking: What can you do with Python? Python is the official language of Google, it powers Instagram, and it even runs on chips Intel tests. It’s a scripting language that can automate all sorts of tasks, big or small. You can do just about anything with Python that you can do with other languages. But it also has some distinct advantages.

The Python advantage

Many of Python’s benefits stem from the wide variety of libraries it has amassed since launching in 1991. These libraries can be thought of as tools or programs that handle a lot of the coding for you. For example, libraries like Requests, BeautifulSoup, and Scrapy can extract data from webpages. While Pandas, SciPy, and NumPy can help you manipulate and analyze massive datasets.

That’s why developers often turn to Python for data science, statistics, web scraping, and artificial intelligence, but it’s also advancing into web development. Python and its tools can even open doors to a new career or a promotion. The average yearly salary for a Python developer in the U.S. is more than $100,000, according to Indeed.

stack overflow coding traffic graphDieter Holger/PCWorld

Python is now the most trafficked language on Stack Overflow.

It’s also likely to stay relevant for years to come. According to the 2018 Stack Overflow Developer Survey, nearly two-fifths of coders on the mp;A site said they use Python. The language has gained in popularity from last year, surpassing C# and taking the seventh spot among coding languages. So you’ll find plenty of tutorials, explainers, and a large active online community to help you along your coding journey.

“Trends in language popularity reflect what is important in the software industry overall,” says Julia Silge, a data scientist at Stack Overflow. “Important shifts, like the rise of Python, show us how much impact data science and machine learning are having in the real world for real companies.”

Learn Python online

So how can you get started? If you don’t have time to attend a physical coding school or you want to save money, learning Python in an online class is a worthy alternative. I’ve culled some of the best of those online courses below.

Some courses I tried myself, but others I selected based on their customer reviews, popularity, and breadth of material. With various lengths, difficulty levels, and specialization, you’re sure to find one that meets your particular needs.

lynda Lynda.com

Lynda.com is just one of many online-learning sites that offer an array of Python courses.

Best subscription-based Python courses

For a monthly subscription fee, online education websites like Lynda, Coursera, Skillshare, and others offer a wide variety of courses you can choose from for learning at your own pace. Subjects range from design to business to photography. But coding is one of the most popular, which means you’ll encounter a multitude of options for learning Python. What’s more, subscription options typically offer a free or discounted trial period, so you can gauge your interest before committing to the full price.

Python For EverybodyRemove non-product link

Pricing: 7-day trial, then $49 per month

Difficulty level: Beginner

Length: 128 hours total

This class on Coursera from the University of Michigan is for complete beginners to programming. After a general introduction to programming, the course teaches you how to use Python to extract data from the web and work with databases. It’s a good demonstration of how Python can be useful for managing large datasets. The course suggests eight hours a week for four months.

Learning Python with PyCharmRemove non-product link

Pricing: 1-month trial, then $25 per month

Difficulty level: Beginner

Length: 2 hours, 30 minutes total

Knowing how to work with IDE software, which stands for integrated development environment, is essential for any coder. Essentially, IDEs are advanced text editors for writing code. This course from Lynda teaches you the basics of Python with PyCharm, which is the one of the most widely used IDEs for the language.

DataCampRemove non-product link

Pricing: Nine beginner courses free, then $25 per month

Difficulty level: Beginner to intermediate

Length: Varies by course, typically 4 to 10 hours each

DataCamp is an online portal full of new and regularly updated courses mostly focused on data science for R and Python languages. The website offers different skill and career tracks for Python, consisting of multiple courses with a particular focus, be it programming, data analytics, or data science. Each course on the site features interactive exercises, videos, and quizzes to help you learn.

Expect to get a grasp on extracting and working with data, using statistical libraries such as Pandas and NumPy, and creating charts to visualize your data. DataCamp also has daily quizzes and projects you can tackle using real-world datasets. Both new coders and developers looking to brush up on their skills will find this site worthwhile.

datacamp DataCamp

Choose one of DataCamp’s career tracks and then follow the prescribed selection of courses toward that goal.

Best one-time-fee Python courses

If you’d like to buy permanent access to a single course, then you may want to consider enrolling in an online class from websites like edX, Udemy, and Udacity. These courses are typically much longer and have more content than classes on subscription-based online education sites. And don’t be intimidated by the prices: You can regularly find classes marked down by as much as 95 percent.

Introduction to Python: Absolute Beginner

Pricing: Free or $99 with certificate

Difficulty: Beginner

Length: 5 weeks, 3 to 4 hours a week

Microsoft created this free edX course to promote coding and provide an overview of the language for complete beginners. It teaches you the basics of Python through Jupyter Notebooks, which is an interactive coding environment hosted in a web browser. Expect to learn the essentials of programming including how to reuse functions. After you complete this course, you can take the next level from Microsoft called Introduction to Python: Fundamentals.

Introduction to Computer Science and Programming Using PythonRemove non-product link

Pricing: Free, or $49 with certificate

Difficulty level: Beginner to intermediate

Length: 135 hours

This online course from MIT on edX is perfect if you’re looking for an introduction to computer science with Python. It begins with a general overview of computer science before going into data science techniques. The class recommends 15 hours a week across nine weeks, making it more demanding than many introductory courses.

Real instructors from MIT teach the course through a combination of lecture videos, readings, and assignments. Like a typical college class, you’ll be expected to take tests and complete a final project. Be warned: This class isn’t easy and requires a working knowledge of algebra.

Python and Django Full Stack Web Developer BootcampRemove non-product link

Pricing: $199

Difficulty level: Beginner to intermediate

Length: 40 hours

Are you looking to build websites and web apps but also want to learn Python? No need to settle for one or the other: You can do both with this course from Udemy. You’ll learn the basics of building mobile-friendly interactive websites with HTML, CSS, and JavaScript. Python’s Django framework will deliver the backend to store data for a persistent web application.

fullstack Udemy

Preview courses in Udemy to see what’s in store.

AI Programming with PythonRemove non-product link

Pricing: $299

Difficulty level: Beginner to intermediate

Length: 80 hours

One of Python’s most powerful uses is in artificial intelligence and machine learning. This “nanodegree” course from Udacity goes over all the basics of programming and then applies your new knowledge to build a neural network. The course recommends 10 hours a week over a two month period.

Machine learning can help teach a program to make better decisions based on data it consumes. The “smart reply” pre-written responses in Gmail is one example of machine learning and AI at work. According to an MIT Technology Review Custom and Google survey, more than one-fifth of U.S. firms said 15 percent or more of their IT budget was going to machine learning in 2017. So this is a field that’s growing and in need of programmers.

Georgia Tech: Introduction to Computing in PythonRemove non-product link

Pricing: $270

Difficulty: Beginner to intermediate

Length: 20 weeks, 10 hours a week

This is an incredibly comprehensive course from Georgia Tech on edX. Not only will you get a grasp on Python, but you’ll also be taught the fundamentals of computer science and the theories behind programming, including variables, operators, data structures, error handling, and data structures. The course delivers all this material through a combination of short videos, multiple choice assignments, and live programming problems. At 200 recommended hours of instruction over 20 weeks, the course is the longest on their list.

Python I: EssentialsRemove non-product link

Pricing: $2,395

Difficulty: Intermediate

Length: 4 days

If you want a more structured course, this virtual classroom from QuickStart might be the way to go. It places you in a four-day intensive class with other students and a live instructor who walks you through materials, answers questions, and oversees lab work.

This class will go over the basics of Python coding and more advance concepts like APIs, resulting in a certificate upon completion. Indeed, QuickStart promises that you will be “effective with Python immediately after the course.” But it’s not cheap: Seats go for nearly $2,500 a pop.

Is there an online Python course you think should’ve made the list? Email dieter_holger@idg.com and let us know!

To comment on this article and other PCWorld content, visit their Facebook page or their Twitter feed.

Embedding ethics in computer science curriculum | killexams.com real questions and Pass4sure dumps

Barbara Grosz has a fantasy that every time a computer scientist logs on to write an algorithm or build a system, a message will flash across the screen that asks, “Have you thought about the ethical implications of what you’re doing?”

Until that day arrives, Grosz, the Higgins Professor of Natural Sciences at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), is working to instill in the next generation of computer scientists a mindset that considers the societal impact of their work, and the ethical reasoning and communications skills to do so.

“Ethics permeates the design of almost every computer system or algorithm that’s going out in the world,” Grosz said. “We want to educate their students to think not only about what systems they could build, but whether they shouldbuild those systems and how they should design those systems.”

At a time when computer science departments around the country are grappling with how to turn out graduates who understand ethics as well as algorithms, Harvard is taking a novel approach.

In 2015, Grosz designed a new course called “Intelligent Systems: Design and Ethical Challenges.” An expert in artificial intelligence and a pioneer in natural language processing, Grosz turned to colleagues from Harvard’s philosophy department to co-teach the course. They interspersed into the course’s technical content a series of real-life ethical conundrums and the relevant philosophical theories necessary to evaluate them. This forced students to confront questions that, unlike most computer science problems, have no obvious correct answer.

Students responded. The course quickly attracted a following and by the second year 140 people were competing for 30 spots. There was a demand for more such courses, not only on the part of students, but by Grosz’s computer science faculty colleagues as well.

“The faculty thought this was interesting and important, but they didn’t have expertise in ethics to teach it themselves,” she said.

In response, Grosz and collaborator Alison Simmons, the Samuel H. Wolcott Professor of Philosophy, developed a model that draws on the expertise of the philosophy department and integrates it into a growing list of more than a dozen computer science courses, from introductory programming to graduate-level theory.

Under the initiative, dubbed Embedded EthiCS, philosophy graduate students are paired with computer science faculty members. Together, they review the course material and decide on an ethically rich topic that will naturally arise from the content. A graduate student identifies readings and develops a case study, activities, and assignments that will reinforce the material. The computer science and philosophy instructors teach side by side when the Embedded EthiCS material is brought to the classroom.

Grosz and her philosophy colleagues are at the center of a movement that they hope will spread to computer science programs around the country. Harvard’s “distributed pedagogy” approach is different from many university programs that treat ethics by adding a stand-alone course that is, more often than not, just an elective for computer science majors.

“Standalone courses can be great, but they can send the message that ethics is something that you think about after you’ve done your ‘real’ computer science work,” Simmons said. “We want to send the message that ethical reasoning is part of what you do as a computer scientist.”

Embedding ethics across the curriculum helps computer science students see how ethical issues can arise from many contexts, issues ranging from the way social networks facilitate the spread of false information to censorship to machine-learning techniques that empower statistical inferences in employment and in the criminal justice system.

Courses in artificial intelligence and machine learning are obvious areas for ethical discussions, but Embedded EthiCS also has built modules for less-obvious pairings, such as applied algebra.

“We really want to get students habituated to thinking: How might an ethical issue arise in this context or that context?” Simmons said.

David Parkes, George F. Colony Professor of Computer Science, teaches a wide-ranging undergraduate class on topics in algorithmic economics. “Without this initiative, I would have struggled to craft the right ethical questions related to rules for matching markets, or choosing objectives for recommender systems,” he said. “It has been an eye-opening experience to get students to think carefully about ethical issues.”

Grosz acknowledged that it can be a challenge for computer science faculty and their students to wrap their heads around often opaque ethical quandaries.

“Computer scientists are used to there being ways to prove problem set answers correct or algorithms efficient,” she said. “To wind up in a situation where different values lead to there being trade-offs and ways to support different ‘right conclusions’ is a challenging mind shift. But getting these normative issues into the computer system designer’s mind is crucial for society right now.”

Jeffrey Behrends, currently a fellow-in-residence at Harvard’s Edmond J. Safra Center for Ethics, has co-taught the design and ethics course with Grosz. Behrends said the experience revealed greater harmony between the two fields than one might expect.

“Once students who are unfamiliar with philosophy are introduced to it, they realize that it’s not some arcane enterprise that’s wholly independent from other ways of thinking about the world,” he said. “A lot of students who are attracted to computer science are also attracted to some of the methodologies of philosophy, because they emphasize rigorous thinking. They emphasize a methodology for solving problems that doesn’t look too dissimilar from some of the methodologies in solving problems in computer science.”

The Embedded EthiCS model has attracted interest from universities — and companies — around the country. Recently, experts from more than 20 institutions gathered at Harvard for a workshop on the challenges and best practices for integrating ethics into computer science curricula. Mary Gray, a senior researcher at Microsoft Research (and a fellow at Harvard’s Berkman Klein Center for Internet and Society), who helped convene the gathering, said that in addition to impeccable technical chops, employers increasingly are looking for people who understand the need to create technology that is accessible and socially responsible.

“Our challenge in industry is to help researchers and practitioners not see ethics as a box that has to be checked at the end, but rather to think about these things from the very beginning of a project,” Gray said.

Those concerns recently inspired the Association for Computing Machinery (ACM), the world’s largest scientific and educational computing society, to update its code of ethics for the first time since 1992.

Curriculum at a glance A sampling of classes from the Embedded EthiCS pilot program and the issues they address
  • Great Ideas in Computer Science

    The ethics of electronic privacy

  • Introduction to Computer Science II

    Morally responsible software engineering

  • Networks

    Facebook, fake news, and ethics of censorship

  • Programming Languages

    Verifiably ethical software systems

  • Design of Useful and Usable Interactive Systems

    Inclusive design and equality of opportunity

  • Introduction to AI

    Machines and moral decision making

  • Autonomous Robot Systems
  • In hope of spreading the Embedded EthiCS concept widely across the computer science landscape, Grosz and colleagues have authored a paper to be published in the journal Communications of the ACM and launched a website to serve as an open-source repository of their most successful course modules.

    They envision a culture shift that leads to a new generation of ethically minded computer science practitioners.

    “In their dream world, success will lead to better-informed policymakers and new corporate models of organization that build ethics into all stages of design and corporate leadership,” Behrends says.

    The experiment has also led to interesting conversations beyond the realm of computer science.

    “We’ve been doing this in the context of technology, but embedding ethics in this way is important for every scientific discipline that is putting things out in the world,” Grosz said. “To do that, they will need to grow a generation of philosophers who will think about ways in which they can take philosophical ethics and normative thinking, and bring it to all of science and technology.”

    At the heart of the Embedded EthiCS program are carefully designed, course-specific modules, collaboratively developed by faculty from computer science and philosophy.

    A module created for a course taught by Professor Finale Doshi-Velez asks students to grapple with questions of how machine-learning models can be discriminatory, and how that discrimination can be reduced. An introductory lecture sets out a philosophical framework of what discrimination is, including the concepts of disparate treatment and impact. Students learn how eliminating discrimination in machine learning requires more than simply reducing bias in the technical sense. Even setting a socially good task may not be enough to reduce discrimination, since machine learning relies on predictively useful correlations and those correlations sometimes result in increased inequality between groups.

    The module illuminates the ramifications and potential limitations of using a disparate impact definition to identify discrimination. It also introduces technical computer science work on discrimination — statistical fairness criteria. An in-class exercise focuses on a case in which an algorithm that predicts the success of job applicants to sales positions at a major retailer results in fewer African-Americans being recommended for positions than white applicants.

    An out-of-class assignment asks students to draw on this grounding to address a concrete ethical problem faced by working computer scientists (that is, software engineers working for the Department of Labor). The assignment gives students an opportunity to apply the material to a real-world problem of the sort they might face in their careers, and asks them to articulate and defend their approach to solving the problem.



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    ITEC [1 Certification Exam(s) ]
    Juniper [64 Certification Exam(s) ]
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    LSI [3 Certification Exam(s) ]
    Magento [3 Certification Exam(s) ]
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    McAfee [8 Certification Exam(s) ]
    McData [3 Certification Exam(s) ]
    Medical [69 Certification Exam(s) ]
    Microsoft [374 Certification Exam(s) ]
    Mile2 [3 Certification Exam(s) ]
    Military [1 Certification Exam(s) ]
    Misc [1 Certification Exam(s) ]
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    mySQL [4 Certification Exam(s) ]
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    Network-General [12 Certification Exam(s) ]
    NetworkAppliance [39 Certification Exam(s) ]
    NI [1 Certification Exam(s) ]
    NIELIT [1 Certification Exam(s) ]
    Nokia [6 Certification Exam(s) ]
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    Novell [37 Certification Exam(s) ]
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    Oracle [279 Certification Exam(s) ]
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    PayPal [1 Certification Exam(s) ]
    Pegasystems [12 Certification Exam(s) ]
    PEOPLECERT [4 Certification Exam(s) ]
    PMI [15 Certification Exam(s) ]
    Polycom [2 Certification Exam(s) ]
    PostgreSQL-CE [1 Certification Exam(s) ]
    Prince2 [6 Certification Exam(s) ]
    PRMIA [1 Certification Exam(s) ]
    PsychCorp [1 Certification Exam(s) ]
    PTCB [2 Certification Exam(s) ]
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    QlikView [1 Certification Exam(s) ]
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    RACC [1 Certification Exam(s) ]
    Real-Estate [1 Certification Exam(s) ]
    RedHat [8 Certification Exam(s) ]
    RES [5 Certification Exam(s) ]
    Riverbed [8 Certification Exam(s) ]
    RSA [15 Certification Exam(s) ]
    Sair [8 Certification Exam(s) ]
    Salesforce [5 Certification Exam(s) ]
    SANS [1 Certification Exam(s) ]
    SAP [98 Certification Exam(s) ]
    SASInstitute [15 Certification Exam(s) ]
    SAT [1 Certification Exam(s) ]
    SCO [10 Certification Exam(s) ]
    SCP [6 Certification Exam(s) ]
    SDI [3 Certification Exam(s) ]
    See-Beyond [1 Certification Exam(s) ]
    Siemens [1 Certification Exam(s) ]
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    SUSE [1 Certification Exam(s) ]
    Sybase [17 Certification Exam(s) ]
    Symantec [134 Certification Exam(s) ]
    Teacher-Certification [4 Certification Exam(s) ]
    The-Open-Group [8 Certification Exam(s) ]
    TIA [3 Certification Exam(s) ]
    Tibco [18 Certification Exam(s) ]
    Trainers [3 Certification Exam(s) ]
    Trend [1 Certification Exam(s) ]
    TruSecure [1 Certification Exam(s) ]
    USMLE [1 Certification Exam(s) ]
    VCE [6 Certification Exam(s) ]
    Veeam [2 Certification Exam(s) ]
    Veritas [33 Certification Exam(s) ]
    Vmware [58 Certification Exam(s) ]
    Wonderlic [2 Certification Exam(s) ]
    Worldatwork [2 Certification Exam(s) ]
    XML-Master [3 Certification Exam(s) ]
    Zend [6 Certification Exam(s) ]





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