The best Business & Finance books: Reddit reviews

From 3.5 billion Reddit comments

>I can't go to the bathroom without missing atleast 1 phone call from someone about something breaking.

Don't worry about that. Hell, I straight up ignore my phone sometimes even when I'm right beside it. Priorities and such.

>if I need to start looking elsewhere for more pay to offset the stress

Not a bad idea. Always be cognizant of what's out there.

As others have said, bring it up professionally with your boss. His response will help sway the "should I look elsewhere" decision.

Another good suggestion is to work on time management skills. Here's a highly recommended book around here.

And you have vacation days for a reason. Use them. If you try to but they never approve it, then that's a big red flag.

Cracking the Coding Interview by Gayle Laakmann McDowell

This book goes over every one of those areas and gives tons of example problems. It also talks a lot about the interview process and what companies are looking for in a good candidate.

This book explains the history and thinking super concisely. But broadly, GOP needed a voter base that wouldn't question power of the state being handed over to private industry -- thus they won over the devoutly religious who wouldn't question anything beyond simple morality. Then beginning with Carter, and going full steam with Reagan, to escape 70's stagflation (rising inflation causing a stagnant economy) America rejected the economic theories of the preceding 40 years under Keynes and embraced slow but steady deregulation of all markets and public services, or at least everything they could, under the guise of "small government" and an ideal of the individual. Around the time of Clinton's presidency, Democrats could do nothing but sustain the cycle as Reagan had butchered much of what was previously under government ownership -- to turn the tide back would be far too costly and lose the election, as it would be a total U-turn of the country.

"Neoliberals" aren't some kind of "new liberal," exactly. It's a defined set of political and economic beliefs, based on property-relations and a fetishization of "free market politics" as a system of ethics. Please take the time to read up on it, it's real and horrible.

For example, Henry Kissinger, Ronald Reagan, and Hillary Clinton can all be accurately described as neoliberal, due to the economic policy decisions they pursue.

https://www.amazon.com/Brief-History-Neoliberalism-David-Harvey/dp/0199283273

My friend recommended me this when I first started, but the truth is all the reading in the world isn't going to give you real-world experience. Start small, do your research, thorough research. Learn about greeks, IV, when to take profit, ect. Study the stocks you're interested in and know about, don't worry about trying to follow someone else's trades on a company you know nothing about.

Personally, I started small with 250 and made smart choices to bump it up to 2400 in three weeks, but I got cocky and didn't fully research an investment so I lost 1000 in one trade. If I had kept a level head I would have noticed that there was a significant short interest trying to drive the stock down and the low volume added fuel to the fire. Undervalued or not, hedge funds with billions to throw around can influence the stock price of most companies quite a bit, always be aware of that.

Once you gain some experience and understanding, day trading with the current level of volatility is pretty easy albeit risky at times. Just remember to not gamble with money you can't afford to lose. It may be boring but I keep about 5/6ths of my portfolio in equity that I rarely touch. For every one person you see on this sub that turns 40k into 250k on a MU yolo, there are ten others that turned their 40k into 0k. Be smart and goodluck!

I had a highschool math teacher who always told us to be warry of statistics and even had a book he shared.

How to Lie with Statistics https://www.amazon.com/dp/0393310728/ref=cm_sw_r_cp_api_i_mfP4DbK80WD65

+1 for this. "I'm not a programmer, but I work well with them and can translate for them to non-technical people." is exactly what a PM is. You might find this book valuable.

When I went, there were always a few companies where the representatives had a badge that said "I hire frosh." My advice would be to check it out to get a feel for what's going on. I wouldn't expect a whole lot, but at the very least it'll be good prep for the frosh/soph fair.

A word of advice - when I went to the fall career fair during my freshman year, I actually found it quite stressful. I ran into a couple of recruiters who came off as condescending, and the overall atmosphere seemed pretty stressful (gotta hustle for that internship). It was a bit of a contrast from the dorms and even office hours, where people are generally happy to lend a helping hand.

When I took CS 103 later, Keith Schwarz actually had a fairly negative view of the effect/messaging of the fall career fair towards freshmen. He felt that the competitiveness and the inevitable rejection of certain internships would not really provide a positive view of one's learning. Learning is a long process, and getting rejected from a dream CS internship might lead some to feel that their classes were for nothing. It's ultimately up to you whether you want to view your CS education as more of a pipeline into a good job, or an opportunity to intellectually explore (you can of course balance both, and there is no right way to do it).

So if you wanna hustle for an internship, then by all means go for it. However, keep in mind that the career fair is only one way to get your foot in the door. If you wanna be a real snek, network around and find people who can give you referrals for companies you're interested in. Also code up a project or two and put it on GitHub (with a link on your resume). Most importantly, read the good book.

I've said it a million times and I'll say it again: Get your hands on a copy of Cracking the Coding Interview and read it from cover to cover. If you're going into college now most of the information in this book won't make sense if you don't know how to program, but regardless I would still pick it up. Study this book for interviews. If you start using this book to study for interviews (And you need to study for interviews, treat interview prep like any other class) I guarantee you can land an awesome internship and a great job.

Read this book - https://www.amazon.com/Bitcoin-Standard-Decentralized-Alternative-Central/dp/1119473861

As most bitcoin books are either technical in nature or written by journalists who don't understand it well. This book answers the "why" of bitcoin, the economics and monetary policy that makes it so special.

Overview - https://medium.com/@jimmysong/why-bitcoin-works-fe32879a73f5

You may want to check out Cracking the Coding Interview. The table of contents can be found here. I'm pretty sure there is a section for each thing on your list.

I'd recommend stepping away from leetcode and the other sites for a bit. I think they're useful if you need the practice in typing up the algorithms in code when you have the algorithms pretty well memorized.

I would HIGHLY recommend "Cracking the Coding Interview" https://www.amazon.com/dp/0984782850

There are also a few good YouTube videos but I don't have links handy. I will say there's a lot of garbage out there too, so skip through them liberally.

Remember the interview process is a total game. I interview candidates and even we know it's all a sorry game. But we have to check the stupid boxes because no one has come up with a better way to weed out people who can't code a for-loop.

Your ability to pass interviews is not directly correlated to your ability to actually deliver software in the real world. Interviews often don't touch on design or real world tradeoffs or continuous integration or how to manage a large project or so many of the other aspects of software engineering. Instead it comes down to rote memorization of solved algorithms and stupid array problems that never represent an actual problem someone has actually needed to solve.

In an interview: let's spend half an hour writing quicksort.

In real life: can you think of any language written that doesn't have a sort function in the standard lib?

I know you know this but I hope that this has helped.

Good luck.

To me, "leetcode" is the brand name for the concept of solving programming puzzles, just like "Kleenex" is for facial tissues. When I see someone mentioning leetcode, it could mean anything from the actual LeetCode website to Codewars, HackerRank, or any other interactive programming problem solving site.

I've seen leetcode mentioned here and also very heavily on Blind (abbreviated LC there).

This concept is not new, and is the central focus of the very popular interview prep book Cracking the Coding Interview

Just to give you a peace of mind, I'm gonna share that I'm utter shit too. I have almost 20 years of experience and working at a huge worldwide company. I have conducted more than a hundred interviews myself and yet, if I apply to somewhere I can't write a simple parsing script in a coding interview.

Some of us just wired this way. Also interviews are like a date. It is equally up to chemistry and luck along with correct answers to questions if you get the job.

To be useful too, a few links. Check out this for inspiration: https://rejected.us/

The best book to get an IT job: https://www.amazon.co.uk/Cracking-Coding-Interview-6th-Programming/dp/0984782850

If every republican read how to lie with statistics -Darrell Huff (1954) Fox viewership would drop. Hell, Democrats or anyone for that matter should read this. It makes trusting a news source a lot harder when you immediately pick out devious tricks to engineer partial truths.

Don’t trade. That’s gambling & speculating. Buy a bit of Bitcoin as a long term insurance against existing fiat system and just sit on it.

Or invest by doing some research. I recommend this book:

https://www.amazon.com/Bitcoin-Standard-Decentralized-Alternative-Central/dp/1119473861

Option Volatility and Pricing: Advanced Trading Strategies and Techniques, 2nd Edition https://www.amazon.com/dp/0071818774/ref=cm_sw_r_cp_api_glt_fabc_06VNJSD6Y5PX7GKD0SF8

Can’t recommend this one enough. I’ve read it multiple times and always come back to it if i have questions.

One of the best books I ever read was "How to Lie With Statistics". Although the examples are dated, the basics are still very valid.

The Bitcoin Standard

You need to show them first why there is a problem in the first place. Show them the history of currency and fiat, the fall of the gold standard.

https://wtfhappenedin1971.com/

It's not an oxymoron. You can have two sets of true facts about a situation, which depending on which things are emphasized, gives you an entirely separate narrative of how things are going.

One could say, for instance, "Murders in Chicago are up 1200% this year! Highest number of deaths on record!" And that would be one set of facts.

One could also say, "There were 12 murders in Chicago, compared to 1 last year. The 10 year average is about 10 murders per year, so this isn't outside of the expected range of deaths. Also, it's a city of 3 million, so this is in fact a fairly low amount of murders on a per capita basis."

Those are two sets of facts reporting on the same incident, both true but you can tell they paint entirely different narratives about how to feel about the situation.

What this shows is that you cannot simply say, "Well, just report the facts, and everything else will work itself out." There is a meta element to this, where you choose which things to emphasize, and which to de-emphasize, and by this choice of emphasis you inevitably are shaping the way things are understood, because humans understand events not by a bulleted list of facts, but as a narrative, a story.

These things you have to take into consideration when you're talking about media and the spread of information, especially political information.

For more fun like this, check out How to Lie with Statistics.

I've been learning the indicators one at a time. The thesis is, traders watch these levels to time trades. 🤷‍♂️

This book is the 'bible' but I haven't bothered to read it.

https://www.amazon.com/Technical-Analysis-Financial-Markets-Comprehensive/dp/0735200661

I'm sure a youtube search will find any number of results.

For learning, honestly, I just look at charts that people make who have been doing this for awhile and learn from them. I like Patrick Ceresna a lot.

My approach is - look at a chart and draw some straight lines. This is a bit of an artform but starts to become easier once you look at charts a lot. Trend lines should touch the bottom of at least three candles (the fat part). Also, horizontal lines for historical support/resistances.

EMA - I'm looking at 20D, 50D, 100D, 200D and seeing which one is most significant. Basically - which EMA do the candles touch most often? Is it support (they bounce off and go up) or resistance (they touch it then go down)?

The "Pivots Traditional" can be useful but eh. VWAP and bollinger bands seem useful but I don't totally get how to set them up. Fib retracements I get but seems pretty "hocus pocus". MACD seems kinda useless to me for what I do. I don't understand why anyone cares about Elliot waves.

Most of the more 'advanced TA' is pretty hocus-pocus to me.

My older brother did! He dropped out of college midway through for personal reasons but he had the code bug for as long as I can remember. It started out kinda crappy, coding websites for not the best pay, but he's really improved over the years and now he has a cushy 6 figure job. It's definitely possible, and when I'm looking to hire people because of this I don't really care about degrees. Now to be fair, usually people with degrees perform better on coding tests, but that doesn't mean the exception doesn't exist.

Also, do yourself a favor and read/practice with this book. It's how I broke away from being a data analyst and got back into coding: https://www.amazon.com/Cracking-Coding-Interview-Programming-Questions/dp/0984782850

Here's a really good book by someone who used to conduct coding interviews at Microsoft, Amazon, etc.

Cracking the Coding Interview

Still, it's not likely that you'll see the same exact questions on an actual interview. Just practice a lot and get comfortable with solving problems. That will help you when it's time to code on-the-fly at an interview. Also, it's more important to talk through the solutions. Coming up with an innovative, elegant, or efficient solution with pseudocode is more important than getting the syntax exactly right in a particular programming language.

Possibly the worst set of graphs I've ever seen

​

https://www.amazon.com/How-Lie-Statistics-Darrell-Huff/dp/0393310728

In speaking about neoliberalism, David Harvey argues that neoconservatives needed to build their platform and did this in part by appealing to evangelical Christians. I notice that other people have asked you to consider what you mean by religious people, but I'm guessing you're speaking specifically (or at least toward) evangelical Christianity. It's complicated, but as someone who studies neoliberalism I love Harvey's marxist interpretation of the phenomena.

The most popular book on this is:

https://www.amazon.com/Cracking-Coding-Interview-Programming-Questions/dp/0984782850

While every company is different and YMMV, I don't know of any other single resource that has more tips and advice that are pretty generally accurate.

As brief answers, though, what I recommend is:

• First clarify the question, make sure you understand exactly what they're asking it by restating it
• If it makes sense, consider writing out at least one example input and output - for example if they say to reverse a string, write out "hello" becomes "olleh", that's a great way to make sure you're on the right track
• Most of the time I'd recommend describing the algorithm out loud, and if your interviewer doesn't have any questions or concerns, jump right into writing out the code.

I don't generally recommend writing out an algorithm. There's no standard way to write pseudocode, and by its very nature, pseudocode is quite often ambiguous. Writing takes time, and it usually doesn't end up helping.

There are occasional exceptions. If you're trying to compare two approaches, writing a brief sketch of two algorithms could be a good use of time.

If you do need to write pseudocode, my advice is to use the syntax of a real programming language, but just make up functions that you need in order to make your code concise.

For example, I've seen interviewers try to write pseudocode like this:

if url doesn't start with "https" then return error

Instead, write it like this:

if (!url.startsWith("https")) return -1;

Or if you prefer Python, something like:

if not url.startsWith("https"): raise Exception()

The idea is that it doesn't matter whether startsWith is a real function or not. If it's not, you could easily write it. But by using real syntax, it's clear what you intend.

>1.«sortir 700M de chinois de la pauvreté» > >Un autre succès du néolibéralisme baby 😎: https://www.amazon.ca/Brief-History-Neoliberalism-David-Harvey/dp/0199283273 >

'neolberalisme' ! lmao

est-ce que la nep de Lénine était du néolibéralisme pour toi aussi ?

Adding on - those sites are great to learn the concepts. If you like books:

Cracking the Coding Interview

Algorithms

Also for practice problems, leetcode.com and hackerrank.com

For DSA I always recommend Cracking the Coding Interview (I think I’ve linked it at least 10 times on this sub... cause it works) it’s on amazon rn for 40$:

Cracking the Coding Interview: 189 Programming Questions and Solutions https://www.amazon.ca/dp/0984782850/ref=cm_sw_r_cp_api_i_QtjXCbCN7EEN4

For Big Data/Github Projects, you want to show you understand the pipeline from start to finish. Your projects should show you can find data, clean and prepare it, preprocess, train, test and then deploy. I’d say 99% of people start with the MNIST data set (people who know MNIST are probably laughing right now reading this). Most people you’ll be interviewing against will likely have an MNIST project on their github, so if you want to outshine them, follow this MNIST tutorial but DON’T put it on your GitHub (or do for now but remove it when you add more projects):

https://www.tensorflow.org/tutorials/keras/basic_classification

After following that tutorial, try to repeat the process but with other datasets. There are millions of free datasets available online, pick ones that are relevant to your hobbies outside of work, so when you interview you can start with “I really love blah blah in my personal time, so I decided to train a neural net to recognize blah blah, and so I found (or even better, created) a dataset for blah”

For example, I love going hiking and often wonder what kinds of birds I’m seeing in the forest, so I found a dataset of bird pictures that were labelled, trained a neural net to recognize them, and hooked it up to an app so I can now point my phone at birds when I’m hiking, and find out what species of bird I’m looking at.

As for the management/marketing thing, I can’t really give you any useful information so I’ll leave that to someone else.

Also, sorry for the formatting, I’m in mobile. Good luck!

If you read this i guarantee you'd reconsider your position. https://www.amazon.com/Bitcoin-Standard-Decentralized-Alternative-Central/dp/1119473861

You're completely missing the point on what a non-sovereign money brings to the global marketplace. Do you do business internationally? Send money across borders ever? International banking absolutely sucks. What about the several billion people that are unbanked because it's a permission based system that they don't have the privilege to be a part of? How about you're living in a country like Venezuela, Iran, Turkey, Greece, etc that are experiencing hyper-inflation and seeing their savings absolutely devastated by poor economic policies instituted by broken governments?

If you think bitcoin is all about speculation you haven't done your homework. It's about taking back control of your finances and being your own bank.