R1: I recently found a medium article claiming that socialism was the causing factor behind China's economic development, not capitalism. For the sake of this response (and the context given by said Medium Article), socialism refers to state ownership and central planning while capitalism refers to private ownership and markets (not necessarily free ones).

This response won't focus on China's human rights abuses or critiques of Marxist theory in order to prevent the comments from going political- only to add context to and critique the economic claims made. This is my first R1 so I welcome improvements and suggestions!

>As the story is constantly told in western media, China was poor and communist, then they abandoned communism for capitalism, and then they had growth. Therefore, it is free market economics that made them the powerhouse they are today. This narrative is repeated endlessly. Even in articles that are not about the Deng Xiaoping reforms, they will still reiterate this as if it’s a well-known fact.

Oh great, a "consensus or agenda" type of poisoning the well. Economists don't repeat this narrative because "western media bad"- the vast majority of studies corroborate the claim. In fact, the vast majority of economists believe privatization to be beneficial in Eastern Europe- so why won't it apply to China as well?

For example, this study found out that the national wealth-income ratio increased from 350% in 1978 to 700% in 2015 because of the increase of private wealth. Despite the Chinese government owning a fair share of the properties in the country, private ownership definitely increased!

>The share of public property in national wealth declined from about 70% in 1978 to about 30% in 2015. More than 95% of the housing stock is now owned by private households, as compared to about 50% in 1978. Chinese corporations, however, are still predominantly publicly owned: close to 60% of Chinese equities belong to the government (with a small but significant rebound since 2009), 30% to private Chinese owners, and 10% to foreigners – less than in the US, and much less than in Europe (Figure 4).

Another [Stanford study](https://kingcenter.stanford.edu/sites/default/files/public

It’s called the Moo-trix.

I'm an Accounting major, but have started a Programming class this semester and am finding that I really enjoy it. I don't necessarily dislike my Accounting classes but it doesn't hit the spot to me like programming does. However, I have a lot of business and accounting classes under my belt that I would not like to waste and I don't mind the idea of going into Accounting in general.

Is it worth double majoring in Accounting/Programming for work in things like AIS? Or can I accomplish the same just with a Programming Minor?

Thanks!

Hello everyone! I am reaching out to the community to assist me in my data engineering road map. The road map is meant to help me in gaining the skills I need for an entry-level data engineering job. I have a technical associate's degree that covers databases, database design, database administration, and web programming. I have 3 years of professional experience with web programming, databases(queries, design, administration). During my employment, I was asked to look into specialized deep learning algorithms. Specifically, convolutional neural networks. During my time with deep learning, I began to wonder how do I store and retrieve 18 terabytes of image data efficiently. This wonder lead me to what I found to be called Data Engineering. Additionally, I will be completing my BS in Computer Science this semester. I want to work as a Data Engineer. I enjoy optimization, big data, and the idea of building a large system to accomplish a big task overall!

Below I have built a roadmap to achieve the skills that I believe I need for an entry-level data engineering position. I have built this roadmap based on many Indeed job postings. I am asking the community to review my roadmap. Please point out any additions or changes!

Issues I had when building the road map

-Determining what cloud platform to learn first. I picked AWS since most of the listings in my area are AWS.

-Is MongoDB needed for most all Data Engineering jobs or some?

I have to learn!

-AWS Cloud

https://acloudguru.com/learning-paths/aws-data

-Data Pipelines with Apache Airflow

https://www.amazon.com/gp/product/1617296902/

-Spark: The Definitive Guide: Big Data Processing Made Simple

https://www.amazon.com/gp/product/1491912219/

-MongoDB: The Definitive Guide: Powerful and Scalable Data Storage 3rd Edition

https://www.amazon.com/gp/product/1491954469

Review Material

-Data Structures and Algorithms

https://www.amazon.com/Problem-Solving-Algorithms-Structures-Python/dp/1590282574/

-Learning SQL

https://www.amazon.com/Learning-SQL-Generate-Manipulate-Retrieve/dp/1492057614/

-**Py

Hey, I will be applying for summer 2022 at TU Berlin for their masters in computer science course. Just wanna know which of these subjects qualify as Theoretical comp sc subjects:

1. Theory of Computation: This course will focus on the inherent capabilities and limitations of mathematical models of computation, and their relationships with formal languages. Rigorous arguments and proofs of correctness will be emphasized. Particular topics to be covered include: • Finite automata, regular languages, regular grammars • Deterministic and nondeterministic automata • Context free grammars, languages, pushdown-automata • Turing machines, Church's thesis, undecidable problems • NP completeness

2. Machine Learning: Machine Learning is concerned with computer programs that automatically improve their performance through experience. Topics such as Bayesian networks, decision tree learning, support vector machines, statistical learning methods, unsupervised learning and reinforcement learning would be discussed in this course. Theoretical concepts such as inductive bias, the PAC (probably approximately correct) learning framework, Bayesian learning methods and margin-based learning would be discussed in the course.

3. AI: In this course, we will study the most fundamental knowledge for understanding AI. We will introduce some basic search algorithms for problem solving; knowledge representation and reasoning; pattern recognition; fuzzy logic; neural networks and genetic algorithms. The later three form synergistically Soft Computing which happens to be an important component of AI.

4. Algebra and differential equations: * Differential equations: Differential equations of first order: Variables separable form or reducible to Variables separable form of Differential Equations, Exact Differential Equations, Linear Differential equations of first order, Ordinary Linear Differential Equation of higher order with constant coefficients. Homogeneous and Nonhomogeneous equations; Methods of variation of Parameters and undetermined coefficients; Euler’s Equations.

• Laplace transforms, inverse transforms, transforms of derivatives and integrals, unit function, step functions, convolution of functions, partial fractions, applications to the solution of ordinary differential equations and system of differential equations.
• Sets, Algebra of sets; Binary operation on a set. Groups, Subgroups, Rings and Fields. (Only definitions and some important properties n

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.

Past AskAnythingWednesday posts can be found here. Ask away!

I was talking to this girl I met while playing tennis, and we had a great conversation. Then she asked me what I’m studying at school, I say CS, and she got noticeably disappointed. I asked her what’s up and she said she prefer men in other fields like business.

Is that true? Can any woman chime in? CS degrees have great job prospects and very high salary compared to other fields, so why does she dislike it?

I assume cause of the nerdy stereotypes associated with computers?

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 know a few people graduating but barely know anything from their courses. But ever since the pandemic started it has been easier to cheat.

Now, I am not fully against cheating but imagine the extreme ends of the spectrum. A person that cheats all the way till graduation and barely knows anything, and another person who graduated but spent the time and effort to learn each topic without cheating.

It seems unfair imo

I searched and searched and still haven't been able to really figure out how NFTs are working behind the scenes. There is sooo much hype.

Could a developer please explain. I'd like to know -

1. How are they created? Using which popular frameworks (any code snippets appreciated)
2. Where is the media hosted? My understanding is that NFTs are really a record that your wallet owns this unique hash. But then how is that has linked to an image? And where is this image hosted? Follow up - can't anyone take this image host down and then that link between the hash and the image is lost.

Appreciate any elightenment without the hype. I am tired of 100th video about an influencer explaining NFTs as if they are the next gold with no context.

Hi guys, I've decided to change my degree from mechanical engineering to a degree in computer science and my question is will it be fine if I enter the degree without any programming experience?

(This all depends on whether the university will exempt me from a year of foundation studies)

My friend told me we will be learning c++ and java which I have 0 experience in both and if I start studying from codecademy right now before entering school, I will only have about a month of time to learn as much as possible

So my question is is it fine to enter computer science degree without programming experience?

Hey there!

Are there any jobs that combine Marketing and Computer Science?

I love Marketing - and am currently studying it in school - but I find myself wishing the content was a bit more technical. I also have a strong passion for Computer Science, but I don't think I'd be able to become a Software Developer full-time as I need some sort of creative outlet and more frequent social interaction in teams to be happy.

I'm wondering if there are any careers that involve a combination of both Marketing and Computer Science (preferably Software Development or web development)? I'm interested in both technical Marketing Roles, or more creative roles in Software Development if they exist. I'm currently looking into Growth Marketing Analytics, but any other recommendations would be greatly appreciated :) Thanks for your help!

https://preview.redd.it/y1bm4ws13m181.jpg?width=1000&format=pjpg&auto=webp&s=bce00a87211413404fe54dd65280e84fc7f723c0

LAST UPDATED: --- FRIDAY --- JANUARY 7, 2022 --- 11:45 PM EST

MY CONTACT INFO:

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WINTER 2022 UPDATE: For students needing help with exams, homework assignments, and online courses for Winter 2022, Spring 2022, and Fall 202 semesters, please reach out to me ASAP to reserve a tutoring appointment because my schedule is certain to get filled up fast. Thank you!

INTRODUCTION --- ABOUT ME:

• Hi there, welcome to my online tutoring & academic services ad! My name is Jim O'Hara, and I’m a full-time New Jersey-based math & test prep tutor, academic services provider offering help to students from all educational backgrounds (i.e., nursing | social work | business | theater, etc.) do well in school and achieve high grades in subjects including statistics | probability | algebra | calculus | liberal arts math | geometry | trigonometry | precalculus | quantitative reasoning.
• I can also be available to complete all the student's homework assignments, exams, or the entire online class on their behalf upon request.
• I find helping students learn and do well in math to

When you go to a doctor, a lawyer or a financial advisor it's not strange to get a senior professional like 55-65 yo, yet when you think of IT it's usually your typical 23-30 yo. I know a lot of the older programmers end up in leadership/CEO or teaching positions at college, but those positions have to be limited to only a small percentage right, what happens to the others?

I am not the OP. u/Laser_Lens_4 is the OP from r/blind.

Original

[Rant] Math makes me resent sighted people

I don't like doing these, but I need to talk about my frustrations with people who actually get it. Maybe some good can come out of it. Maybe some blind math wiz will laugh and tell me I've done everything wrong and send me to a website that let's me do this all with perfect accessibility. so here goes.

I'm one week away from completing a remedial math course in community college here in the states. I'm tired, stressed, angry, and want it to end... oh, and I'm insane enough to pursue a computer science degree, so I've got years of math ahead. Let me tell you a bit about my math story as a blind woman.

I was terrible at math in grade school. In retrospect, it was probably because I spent so much effort on squinting at all the weird symbols that I had no time left to actually learn the content. Now that I'm in college and using a sight-free workflow, I'm actually getting it. The most surreal event so far is learning logarithms and understanding it easily whilst vividly remembering sitting in high school and being thoroughly confused.

So where's the rant? Well, the entire past 16 weeks have been an exercise in misery. So, I walk into class, introduce myself to the instructor, and listen to him talk about math for an hour and a half. I go home to try homework online. What do I find? Not LaTeX, not MathML, but some proprietary code on Cengage's website. It's not too bad at first, but mind you absolutely nobody showed me how to use this website, so the first week consisted of me aimlessly navigating by headings and form fields. Then we hit exponents and quadratics. NVDA straight up didn't read superscripts. Thus begins my first email chain bitching at disability workers and web devs. They tell me to use Firefox and Math Player with NVDA, so that means I have to switch browsers, install software, and count my lucky stars that I know how to use NVDA since they provided no instruction for that. Fine, right? Nope. I have to switch the math renderer on the website to MathML, oh and they had to create a duplicate course where everything had been made accessible. So you know, separate but equal... just like the 60's! But wait, there's more. I couldn't switch the renderer myself. I had to have a sighted

I am an undergrad studying computer science. While I enjoy coding (it is ludic) I can’t quite grasp its purpose/use in the bigger meaning of life.

Why do you study computer science and how do you find purpose in it?

With the cost of a computer science degree being so high, I'm often surprised that other computer science students are not leveraging the skills they are learning in class to start making money before they graduate. I'm not making this post to brag, but rather to show another fellow CS student a different perspective on paying for college.

First, as a disclaimer, this probably won't pay for your entire tuition, but I find it's often a better alternative to working minimum wage jobs as many other college students do.

I'll get straight to the point - if you're a computer science student, you can start leveraging your skills pretty early in your academic career by offering your services as a freelance software developer. I often recommend this to other computer science students looking to make money and not surprisingly, I usually get a response like this:

But I’m just learning to code. But I don’t know how to build websites. What if I can’t build what they want me to build? I’m a noob. I’m not qualified to do that yet. No one is going to hire a beginner. Why would they choose a beginner over a professional? What if I mess up? What if they don’t like my work?

Take it from someone that started building software for others just after taking their second programming class - You don't have to be the best developer nor do you have to know how to do everything to start offering your services as a freelance software developer.

In fact, the first job I got as a freelance software developer involved creating a command-line application for which I did not know how to do specific things. But that was ok because I realized that I could just learn what I didn't know as I was working on the project. I got paid $100/hr for that, which I put towards my school expenses. With that said, as I have taken up more freelance jobs and worked on more personal projects, I have gained more skills and expanded into other types of work such as web development and custom internal tool development.

Not too long ago, I landed a job that paid me $250/hr for web development. I'll leave the specifics of the job out for respect to the customer, however, the reason they were willing to pay me the premium (which as a disclaimer is not super common), is because they wanted something built fast. With the skills I have gained, I was able to deliver what they wanted and they walked away a happy customer. They even returned a few times with more work for me.

Freelance software development is

I apologize if my question is a little broad. I recently took a philosophy class on propositional and FOL and various systems within each and the metalogic behind them.

I was wondering in what ways what I learned can be useful for computer science?

This is a question that, at least to me, always seemed to generate an unexpectedly large amount of disagreement. Personally, I always saw the “science” in the name as a misnomer, and I see it as mathematics. But whenever the topic is brought up, a lot of people disagree with it.

I think it’s a field of math because, unlike in the sciences, we don’t put much emphasis on experiments in computer science. Furthermore, the birth of computer science came from the field of formal logic, which is definitely math.

At first, the topic came up at the dinner table, and our family was split 50-50. My brother and I both arguing that it was mathematics, and our parents arguing that it was science. This led me to think it was just an issue with familiarity, since my brother and I are both moderately experienced coders and both know more math than our parents. However, when the topic was brought up during a meet of my school’s math team, there was still a lot of disagreement, so I don’t think someone’s viewpoint just comes down to familiarity.

Do you think computer science is a science, or a branch of mathematics, or something else entirely?

Starting a list for anyone looking to WFH but do not have an aptitude for coding or thick skin to handle customer service.

• Accounting
• Account Managing
• Copywriting/Technical Writing
• Corporate/Systems/Technical Training
• Data Analysis
• Data Entry
• Graphic Design
• Human Resources
• Marketing/Digital Marketing
• Medical Coding
• Payroll
• Product Management
• Project Management
• Quality Assurance
• Recruiting
• Search Engine Optimization
• Social Media Content
• Tax
• Translation
• UX/UI
• Virtual Assistance

Any more ideas?

I’m currently working as a Software Development intern for a startup. My boss (CTO) said that if I dropped out of school next semester, they could offer me a full time job making 80k salary + equity (I make $20/hr currently with about 20 hours a week). I would still keep my current job if I didn’t drop out and go full time.

I’m currently a junior in school, and have scholarships to bring tuition down to a little bit under what in-state tuition would be (I pay out of state). I could potentially differ my scholarships, though I’m not sure how worth it that would be (or if I could even do it).

Does anyone have any experience doing this? Did you have issues getting a job or getting more compensation because you didn’t have a full degree? Any help or thoughts would be greatly appreciated!

Edit 1: A lot of people have suggested going to school for 1 or 2 classes, and just take the job. I would do it, except my scholarships (20k a year) require me to be full-time, so I would end up paying a lot more for just the 1 or 2 classes than I would be paying as a full-time student. My tuition is 25k a year before my scholarships, just for reference.

Edit 2: I think I’m going to stay in school (like a lot of people have suggested). I want to have more options than this, I’m not sure I could get myself to go back to school, and I’m not sure I want to take the risk that I’m out of a job and my scholarships in 3 months if the company goes under.

Hi, I am a current high school senior who got admission to Texas A&M for ETAM and UT Dallas for computer science. I would go to TAMU, but ETAM and the fact that it is in the middle of nowhere is pushing me away from fully commiting. As for UTD, I actually got my major and it is close to home. However, I've heard some pretty depressing reviews about UTD on this subreddit. Therefore, I would like a brutally honest review for this school (and if possible, in comparison with TAMU). Thanks!

This goes to everyone but especially people who have done a CS course. I’ve been looking to buy a PC for a while now, but recently I’ve been considering getting a laptop for the ease of access factor and portability.

While I want a good PC and don’t want to spend extra for a laptop that can do what a cheaper PC can do, I’m willing to make the sacrifice if it’s required.

For those wondering I do plan to play on whatever it is I get, and it won’t be just a uni thing but more a this is what au use for games and work thing

Money, fun, or something else?

I find it extremely difficult to follow steps or consider all my options that could lead to a solution.

Chess:
If I have 4 options for the next move. I check the first option for the next 2 to 3 steps. I check the second option for the next 2 to 3 steps. Then I either zone out or get frustrated and make a decision with having only the first and second options considered.

Leetcode/Competitive programming:
I have solved close to 290 questions on Leetcode and most of the time, I come up with suboptimal solutions. It's like I am always inches away from an optimal solution that is clear to understand and read, has the best time complexity, space complexity. But I implement a suboptimal solution each time. Simply because I got frustrated halfway through the solution.

Debugging a production issue:
If there is a system like this: System A => Kafka => System B => Kafka => System C.

And I have to check the logs in all three systems to figure out the issue. I spend the maximum amount of time on System A, a few minutes on System B, and practically give up on System C and ask for help. Even my team leads noticed this about me and he asked me one time, why I gave up when I was so close to the solution. I don't know why I do that.

Deploying stuff to production:
I hyper-focus on the first 5 to 6 steps when deploying a new system. Then I just do the remaining steps without concentration or focus. I just sprint through them and some of those steps fail.

It's hard for me to check everything carefully. Consider all of my options, Do all of the required steps with equal dedication and not get frustrated and give up halfway through the process. Does anyone else experience this?

like what do you genuinely enjoy about the field?

would you still do it if you only made 60k MAX a year?

Is there literally anything else that you can envision yourself doing?

idk man the general trend of this sub just depresses me. At what point are you "done" chasing your dream? Like you can keep job-hopping for 10 years for a bigger salary but when are you actually satisfied?

I just really don't prescribe to the idea of "Oh once I get this internship then I'll allow myself to be happy" or "once I get this six figure job THEN i can start enjoying life". Like if you don't find reason or hope in the study of computer science now then what is the fucking point? You can keep chasing and chasing a bigger salary but there is going to come a point when you're at your limit and then what?

Why did you actually want to major in CS?

My son came home from a gaming tournament, turned his computer on and there was an instant "pop" followed by the smell of smoke. Computer is old- AM2 w/ DDR2. Trying to repair it isn't likely. He's never put together a system before, so I tried to keep it simple. He won't be overclocking. Here's what I came up with. The parts are ordered- case and processor from Newegg, all else from Amazon so easily returned/exchanged if there are better ideas. Will be using his old Nvidia 960 until the market becomes more reasonable. Extra fans already on hand. Thanks for looking.

PCPartPicker Part List

I am 20+ years into a career with BS / MS in Chem E, largely having worked in Oil & Gas, R&D, Consulting, and Pulp/Paper in descending order of total years.

The shift into computer science concerns me a bit as all you good talent people are leaving the discipline.

I'm interested in the biggest drivers.

What I've observe so far are the following, not in any order of significance:

• Supply of jobs for Comp Sci larger
• Ability to remote work
• Cultural / political preference to avoid Oil & Gas
• Oil & Gas / PetroChem / Chemicals roles not in good places to live
• Roles at various jobs did not provide meaningful contribution, i.e. Chem E at brewery 'passion industry' was not a goof fit

I would love to hear if these are common or of other drivers behind the shift into Comp Sci.

Thanks in advance!

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.

Past AskAnythingWednesday posts can be found here. Ask away!

Any other degree that's worth it other than computer science? What if you want to get a decent paying job after college?