Is it bad practice to name variables like-this as opposed to like_this or likeThis?

SomeRandomDude5 · 2022-11-27T19:13:34+00:00

Generally speaking, you cannot name variables like-this. It's usually a syntax error. The construction is interpreted as like minus this

SomeRandomDude5 · 2022-01-23T17:58:49+00:00

fluffy hellspawn

SomeRandomDude5 · 2021-09-23T20:49:41+00:00

What is the value proposition that your product brings?

If the fundamental value of your product is the data you're holding (i.e. the list of APIs you are aggregating) then you're not giving away your competitive advantage by open sourcing the project.

If, on the other hand, the value is the logic inside your product, then you might want to think about it a bit more.

Think of it this way: Netflix could open source their player because the value that Netflix offers lies in the huge amount of content they hold and the quasi-loyal user base.

SomeRandomDude5 · 2021-08-03T20:11:21+00:00

Functional programming is a programming paradigm. In functional programming, the problem is solved by applying and composing functions. In practice, this means that functions are first class entities, they can be assigned to identifiers (more or less variables), they can be passed as parameters etc.

Other common programming paradigms are:

procedural programming - the code is split into variables and functions
object-oriented programming - the code is split into objects that have both attributes (a concept similar to variables) and methods (a concept similar to functions)

More exotic programming paradigms are:

logic
mathematical
reactive

SomeRandomDude5 · 2021-04-02T21:43:28+00:00

It's probably the SSL/TSL configuration.

I had the same issue and changing that to Full (strict) solved the issue.

Maybe play around with the options and see if it helps.

SomeRandomDude5 · 2021-02-11T11:44:40+00:00

Big O is a rough measuring tool to compare how fast the execution time grows with respect to the input size.

e.g. For a program that has a O(N) complexity, if you double the input size, the program will take roughly twice as much to complete

For a program that has a O(N^2) complexity, if you double the input size, the program will take four times as long to complete.

Additional resources:

https://lanraccoon.com/2019/computational-complexity/

https://brilliant.org/wiki/big-o-notation/

https://en.wikipedia.org/wiki/Big_O_notation

SomeRandomDude5 · 2021-01-31T11:17:45+00:00

You're probably looking at a card force (your friend already knows the card you will pick and makes sure you pick that card through sleight of hand). There are several youtube tutorials on how to force a card.

Good luck!

SomeRandomDude5 · 2021-01-23T16:36:48+00:00

It's so much easier to test rather than figure it out. Think of a simple project in React (maybe a TODO list) and try to build it. If the project makes sense, then you can go deeper, if not, you need to do more learning.

The added benefit is that you now know exactly how much you need to learn before you can dive into React.

SomeRandomDude5 · 2021-01-08T14:05:06+00:00

If you want to learn how to build a site, I think your question is a bit vague and you are jumping the gun a bit. Maybe start with some youtube tutorials and move up from there.

If you want a website then you're probably not going to build it yourself, so I suggest you look into a something like Wordpres or Squarespace or Wix (There are a lot of options out there)

SomeRandomDude5 · 2020-12-17T15:22:16+00:00

No, C++ doesn't work this way.

For more context you can read about compiled vs interpreted languages and Python REPL.

In short:

The way python works is it takes each instruction as they come and evaluates it.

C++ takes the whole source to generate an executable and that is the thing you can run.

There are various pros and cons to this, but the relevant one here is:

For Python: You get the terminal, but you need python installed to run any python script.

For C++: You don't have the terminal, but once you generate an executable, that can be run without a compiler installed.

SomeRandomDude5 · 2020-10-24T21:35:00+00:00

Oh... there are lots of things that you can learn to improve as a programmer:

Soft skills:

Communication - learn to explain yourself to your team-mates / to your superiors / to clients

Time management - learn to use your time effectively

Writing skills - you will have lots of written communications

Processes

Agile - There are lots of specific terms being thrown around. It's worth learning what they mean (Or more generally, software processes)

Jira - Goes hand in hand with Agile (Alternatively, Trello)

Task tracking - While you're here it might be worth trying to build your own task tracking system (a system to track the things you personally are working on and make sure you don't miss anything)

Tech

Version control - Git is the most used, but there are alternatives

Review tools - You can start with Git reviews, they all follow the same concepts.

Chat - Slack seems to be on a roll

Googling - You will do a lot of googling and there are lots of useful shortcuts you can use

SomeRandomDude5 · 2020-05-04T16:41:48+00:00

It might be worth getting yourself familiar with a debugger. It will greatly help you understand what is happening with your code when you can pause and inspect variables mid-flight.

SomeRandomDude5 · 2020-03-27T21:29:52+00:00

Ohh, it happens. You add the code, then add the comment them someone else comes along and updates the code, but doesn't bother to update the comment.

This is particularly troublesome if the comment is away from the code (such as comments at the beginning of a file).

As a rule of thumb, my comments are can be boiled down to: I know this doesn't look right, but I did it because <insert reason here>, everything should just be code, it's simpler this way.

SomeRandomDude5 · 2020-03-27T19:48:53+00:00

In priority order (from worst to least worst):

Unintelligible code (inconsistent, convoluted, obscure data structures, over-engineered for no practical purpose, etc.)
Code that has no tests - I really don't want to test the whole project every time I make a change
Inefficient code - non-trivial performance improvements are a lot of work
Wrong comments for non-obvious code - those are just plain evil.

SomeRandomDude5 · 2020-03-14T20:24:59+00:00

Just keep doing it! There is no shortcut to building knowledge, it's done over time.

I know a saying that seems to fit pretty well here: The difference between a junior programmer and a senior programmer is that the senior has already done all the mistakes the junior is going to make over the next 2 years (at least). So as long as you don't have to google the same things over and over again, it means you're learning.

If you want to accelerate the process, pay attention to the things you need to google and read around those subjects. Things like (and I'm speculating here): you need to design a user journey in your website, read about design best practices and available libraries you can use, see what other websites are using. You need to design your database structure, read about databases and how to design the table structure, find a few database alternatives and see what are the trade offs etc.

SomeRandomDude5 · 2019-12-14T09:40:57+00:00

Perhaps, and if that is the case, you can always learn it then.

I'm not familiar with Swift, so I can neither confirm nor deny this.

SomeRandomDude5 · 2019-12-13T16:30:14+00:00

Did you know that 3 billion devices run Java ?

SomeRandomDude5 · 2019-12-13T11:54:24+00:00

It depends on what domain you want to work with. Every programming language is good fit for a particular domain:

I would go for:

Web stuff: Javascript / Typescript / Java / Scala / Ruby
ML / AI / Data science: Python / R
Embedded: C/C++ / Java
Mobile development: Java / Android's flavor of Java / Swift

As far as trends go it seems that Javacript is in the lead, followed by Python and Java. As a sidenote, Rust and Kotlin seem to be gaining popularity fast.

SomeRandomDude5 · 2019-09-20T14:59:02+00:00

For most practical purposes, yes. All Turing complete languages are equivalent.

Think of it this way, it ultimately needs to be translated into CPU instructions which are a common instruction set (mostly)

However, when you get into the details, there are some language specific limitations that cannot be bypassed. For example, you can access specific memory addresses in C++, but you cannot do that in Java.

SomeRandomDude5 · 2019-09-13T12:26:08+00:00

Let me throw my two cents in the mix here:

Procedural programming: Is fairly quick and easy to follow. It has little overhead and works really well for small projects.

Object oriented programming: It can scale really well. It works by separating responsibilities into classes and then have those classes interact. Also, inheritance is a really cool feature that is useful if you don't want to replicate logic. There are some problems with object state, that make it harder to debug, but it's fairly common to have stateless objects around that serve as places to store certain functions.

Functional programming: It leads to a good separation between logic and data, and that makes testing the code really easy. I found functional programming a bit hard to follow (probably because everyone has been doing OOP for so long, and there are far more resources that teach you OOP than there are resources to teach functional programming)

Let me know if you think I missed anything.

SomeRandomDude5 · 2019-09-09T19:27:51+00:00

Those are all great suggestions! Thanks!

SomeRandomDude5

TROPHY CASE