A list of puns related to "Object (computer science)"
I have an exam starting ASAP on Object-Oriented Programming. 60 minutes to complete the exam
Ps I don't have discord, only whatsapp. Thank you
Greetings.
I think this was late 90s, early cg effects, may have been early 00s. Near future setting with countries at war and these women, called witches, maybe cyber witches, would "hack VR" and summon up objects to use in the war.
Taking out all subjective bias/personal interests towards either field, in which of these two fields would pursuing a career be most fruitful?
I'm talking with everything from work/life balance, salary/career earning potential, job security, perceived social respect/status, length of education, cost of education, starting salary/employability, future demand, etc. factors all considered.
I'm really relying on some gurus/people with experience in both respective fields to offer some input here as I am completely stumped, although any input at all is always appreciated.
I would like to know more about theoretical part of computers. So are there any resources, books would be greatly benefited cause I am more like a Book guy, but other sources like YouTube and etc, would even be great.
Thx...
A brief background to explain my situation. I am currently 28 years old. I dropped out of college a few years ago to put my wife through pharmacy school. She graduates next spring. She told me that she would support me as soon as she finished school, so that I can finish my degree if I would like to. This would put me graduating at about 33-34.
My question is, would it be better at my age to just start teaching myself and not worry about the degree? Or, would it be better to start teaching myself, and also go to school for CS when she graduates?
I already have taught myself a decent amount of C#. The nature of my work is 12 hour shifts and I work about 4-6 days a week depending on the week. So I havenβt had much down time between that and other obligations to really teach myself in the past.
Unfortunately, I donβt have many people that I can ask in my personal life. So Iβm hoping to get some good feedback from you guys! Thanks!
EDIT:
Wow. I am completely blown away by all the feedback! This is so much to read through and process! I am genuinely excited to read everything. I glanced over some stuff while eating dinner. Looks like very solid advice!
You guys seriously exceeded all expectations! This is a decision that I still have some time to make, being that she is in her last year of school. However, I will continue learning C# and building what skills I can with the little time I have.
Thank you guys so much for the help. Like I said above, I donβt have many people I can ask in my personal life! So you guys really filled a void there for me.
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I'm gonna start a CS Bachelor of Arts program at york in 2022 September. What can I do now to prepare for it and make things as easy as possible?
Im currently making websites with html and css.
Thx
I hope this isn't a stupid question. It seems to be increasingly more common for children to learn computer science from a younger age in their school. I think this is incredibly awesome and honestly definitely needed considering how tech savvy our society is turning.
But, will this have a negative effect for the people who work in tech or are planning to work in tech who don't have a computer science degree?
I recently had a chat with Scott Young. I've been studying Chinese for 3 years now so I was fascinated to speak with him, as he reached a good level of Chinese in only 3 months in China.
Here's some things that stood out for me from the conversation and from his book:
Practice should be at the center of learning
There's ample evidence that when we just read a book, we don't remember a lot of what we read. What you need is while reading the book, to have a lot of opportunities to directly apply what you learn. Create an environment for yourself where you can take action immediately.
Break it down
When something seems to be way too difficult to ever learn, like speaking a language fluently, or playing a composition on the piano, break it down into its subparts. Then practice each subpart individually. Learn the distinct sounds of a language, then learn the 1000 most frequent words. Your brain is great at making those subparts come together, and suddenly you're able to do more than you thought.
Apprenticeship learning is underrated
An apprentice closely watches his master, then tries to imitate her, while she (and the environment) give him feedback on how he's doing. An apprentice can learn from a master without the master even having to know why he does things a certain way, and without any written out process. This tacit learning is often superior to textbook learning.
Feedback is key to improving
Set yourself up so you can get feedback on how you're doing. This can be an expert (like a coach) telling you what you can improve, or you can define objective metrics to measure how you're doing. Feedback is often stressful or painful, but this is the pain that creates the biggest learning.
Use it or lose it
If you want to stay fluent in a skill, you have to keep using it. Unused skills will inevitably get rusty. But there's good news from neuro-science: RE-learning a forgotten skill is significantly easier than learning a skill from scratch (some scientists hypothesize that forgotten memories are never really lost, but merely become inaccessible)
Develop an intuition
Once you're really fluent in a skill, you can do it without thinking. You've developed an intuition for it. Once you're so fluent in a skill that it becomes intuitive, it's very hard to lose.
Let me know if this is helpful and I'm happy to post a longer summary!
Anyone got any ideas for the computer science leaving cert? Im kinda fucked if I don't have one for tomorrow. I'm not the best at computer science so easier ideas are proffered but I'm open to any lol, any help is appreciated. Cheers.
I have never done anything related to computer science at all. In first year, 3/8 of my core units are computer science units. In first semester I learn object oriented programming with Java, and in 2nd semester i learn data structures and algorithms, as well as Unix and C programming.
Does this set me up well for the future in terms of these programming languages being useful, or should i attempt to teach myself python as well.
Also since i have zero experience with ever learning a programming language, i have decided to start learning some Java before uni starts, what do you guys think of this?
Up until recently when I decided to swap to being an Art Major (since I realized that drawing was just genuinely my passion) I was a Computer Science Major, so I have some knowledge of code, which led me to think about if it would be cool to try and come up with a power system based on programming. So far, the general idea I've come up with is essentially that the world this would be implemented into would more or less be a simulation/testing ground for the gods/higher beings to study and observe and that magic would essentially be making use of the languages they'd used to create their world in order to manipulate it in different ways, with different languages netting different results, and more complex uses of these languages allowing for more powerful uses but also coming with great risk, as they can end up causing a great deal of strain on the system if too much is executed all at once (think lag in a video game or like, your PC overheating, etc.), this can manifest in a number of ways, ranging from various reality-breaking shit shows to natural disasters or even the the sudden erasure of people or objects from the world in an attempt to reduce the strain on the simulation itself. I figure, by treating a setting as a Computer simulation without directly acknowledging or confirming it as one, you can produce a number of interesting ideas for a fantasy setting.
A lot of people in my institute, are involved in web development, full stack development, backend development, machine learning, data science. It's happening to an extent that even the courses offered in my institute are mostly ML/DL related. A very few people are interested in core domains. Why is everyone favouring these over the core jobs. Will there will be no opportunity for systems or networks guys or just programers in C in the future?
Welcome to our weekly feature, Ask Anything Wednesday - this week we are focusing on Engineering, Mathematics, Computer Science
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Hi! I am currently doing a computer science bachelors degree at MalmΓΆ University and I am about to start writing my dissertation, and I am particularly interested in writing about blockchain technology and Ethereum. Me and my research partner are currently trying to figure out what to write about/research, and figured we could try to find any inspiration on this subreddit as we often see quite high-level discussion of the subject. If anyone has any ideas of any particular problem or area that they find interesting and worth researching, we would love to hear about it.
Welcome to our weekly feature, Ask Anything Wednesday - this week we are focusing on Engineering, Mathematics, Computer Science
Do you have a question within these topics you weren't sure was worth submitting? Is something a bit too speculative for a typical /r/AskScience post? No question is too big or small for AAW. In this thread you can ask any science-related question! Things like: "What would happen if...", "How will the future...", "If all the rules for 'X' were different...", "Why does my...".
Asking Questions:
Please post your question as a top-level response to this, and our team of panellists will be here to answer and discuss your questions. The other topic areas will appear in future Ask Anything Wednesdays, so if you have other questions not covered by this weeks theme please either hold on to it until those topics come around, or go and post over in our sister subreddit /r/AskScienceDiscussion , where every day is Ask Anything Wednesday! Off-theme questions in this post will be removed to try and keep the thread a manageable size for both our readers and panellists.
Answering Questions:
Please only answer a posted question if you are an expert in the field. The full guidelines for posting responses in AskScience can be found here. In short, this is a moderated subreddit, and responses which do not meet our quality guidelines will be removed. Remember, peer reviewed sources are always appreciated, and anecdotes are absolutely not appropriate. In general if your answer begins with 'I think', or 'I've heard', then it's not suitable for /r/AskScience.
If you would like to become a member of the AskScience panel, please refer to the information provided here.
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