cscareerquestions - Sin Doctor

December 17, 2024cscareerquestions

Is it taboo to ask about flexible WFH hours? /u/theasianpianist CSCQ protests reddit

One of the things I value most about my current position is the flexibility I get with my hours. Nobody bats an eye if I need to step out for a couple hours during the day to run some errands. Will interviewers/hiring managers be put off if I ask about this? Is there a tactful way to ask?

submitted by /u/theasianpianist
[link] [comments]

r/cscareerquestions One of the things I value most about my current position is the flexibility I get with my hours. Nobody bats an eye if I need to step out for a couple hours during the day to run some errands. Will interviewers/hiring managers be put off if I ask about this? Is there a tactful way to ask? submitted by /u/theasianpianist [link] [comments]

submitted by /u/theasianpianist
[link] [comments] One of the things I value most about my current position is the flexibility I get with my hours. Nobody bats an eye if I need to step out for a couple hours during the day to run some errands. Will interviewers/hiring managers be put off if I ask about this? Is there a tactful way to ask? submitted by /u/theasianpianist [link] [comments]

December 17, 2024cscareerquestions

Do you really need to learn computer science in structured order? /u/BaconShadow CSCQ protests reddit

This question is that simple, but has been mind boggling me for days, I can’t seem to find much topic to read on, I even asked ChatGPT but it’s answers are always different.

What I mean is NOT about getting the CS degree for a job, but learning “Computer Science” all the way to the beginning by learning it structurally in order to make you a better programmer/webdev, I know one answer which is “You don’t need to learn computer science to be a webdev”, that statement is true but the other redditor replied “But learning to secure your website in best ways? You need to learn computer science for that”

That is also true, and computer science will also teach you the fundamentals of computing that will make you an efficient computer programmer, whatever frameworks, technologies, and AI, it will benefit you in the long run to be a better problem solver at large scale applications, making you think more algorithmically, learn design patterns and computational thinking, so it will benefit you through your webdev journey, you’ll learn faster and solve problems more efficiently.

The title might be misleading to my actual question so apologies for that I don’t really know what to simply put there.

So my real questions are:

Can I still get the same benefits as someone who learns computer science in structured order from the beginning? Because my approach of learning webdev paired with computer science is the “Learn as I Go Approach”, i’m easily bored watching long lectures/tutorials if that’s not i’m currently need to learn for a project. For example if i’m weak at data structures and algorithms then I will go straight to learn that, if I want to know some design patterns then I will go read/watch some resources related to that, if I want to learn to secure my website in best ways then I can simply learn web securities/Owasp.

This post is long, but I just want to future proof my webdev journey, and can transition to manage even a large enterprise webapp/website with complex long underlying algorithms without going in computer science from order in the beginning. I wanted to also learn the pros and cons

So be brutally and strictly honest about it.

submitted by /u/BaconShadow
[link] [comments]

r/cscareerquestions This question is that simple, but has been mind boggling me for days, I can’t seem to find much topic to read on, I even asked ChatGPT but it’s answers are always different. What I mean is NOT about getting the CS degree for a job, but learning “Computer Science” all the way to the beginning by learning it structurally in order to make you a better programmer/webdev, I know one answer which is “You don’t need to learn computer science to be a webdev”, that statement is true but the other redditor replied “But learning to secure your website in best ways? You need to learn computer science for that” That is also true, and computer science will also teach you the fundamentals of computing that will make you an efficient computer programmer, whatever frameworks, technologies, and AI, it will benefit you in the long run to be a better problem solver at large scale applications, making you think more algorithmically, learn design patterns and computational thinking, so it will benefit you through your webdev journey, you’ll learn faster and solve problems more efficiently. The title might be misleading to my actual question so apologies for that I don’t really know what to simply put there. So my real questions are: Can I still get the same benefits as someone who learns computer science in structured order from the beginning? Because my approach of learning webdev paired with computer science is the “Learn as I Go Approach”, i’m easily bored watching long lectures/tutorials if that’s not i’m currently need to learn for a project. For example if i’m weak at data structures and algorithms then I will go straight to learn that, if I want to know some design patterns then I will go read/watch some resources related to that, if I want to learn to secure my website in best ways then I can simply learn web securities/Owasp. This post is long, but I just want to future proof my webdev journey, and can transition to manage even a large enterprise webapp/website with complex long underlying algorithms without going in computer science from order in the beginning. I wanted to also learn the pros and cons So be brutally and strictly honest about it. submitted by /u/BaconShadow [link] [comments]

This question is that simple, but has been mind boggling me for days, I can’t seem to find much topic to read on, I even asked ChatGPT but it’s answers are always different.

The title might be misleading to my actual question so apologies for that I don’t really know what to simply put there.

So my real questions are:

So be brutally and strictly honest about it.

submitted by /u/BaconShadow
[link] [comments] This question is that simple, but has been mind boggling me for days, I can’t seem to find much topic to read on, I even asked ChatGPT but it’s answers are always different. What I mean is NOT about getting the CS degree for a job, but learning “Computer Science” all the way to the beginning by learning it structurally in order to make you a better programmer/webdev, I know one answer which is “You don’t need to learn computer science to be a webdev”, that statement is true but the other redditor replied “But learning to secure your website in best ways? You need to learn computer science for that” That is also true, and computer science will also teach you the fundamentals of computing that will make you an efficient computer programmer, whatever frameworks, technologies, and AI, it will benefit you in the long run to be a better problem solver at large scale applications, making you think more algorithmically, learn design patterns and computational thinking, so it will benefit you through your webdev journey, you’ll learn faster and solve problems more efficiently. The title might be misleading to my actual question so apologies for that I don’t really know what to simply put there. So my real questions are: Can I still get the same benefits as someone who learns computer science in structured order from the beginning? Because my approach of learning webdev paired with computer science is the “Learn as I Go Approach”, i’m easily bored watching long lectures/tutorials if that’s not i’m currently need to learn for a project. For example if i’m weak at data structures and algorithms then I will go straight to learn that, if I want to know some design patterns then I will go read/watch some resources related to that, if I want to learn to secure my website in best ways then I can simply learn web securities/Owasp. This post is long, but I just want to future proof my webdev journey, and can transition to manage even a large enterprise webapp/website with complex long underlying algorithms without going in computer science from order in the beginning. I wanted to also learn the pros and cons So be brutally and strictly honest about it. submitted by /u/BaconShadow [link] [comments]

December 17, 2024cscareerquestions

Worth majoring in statistics if I like machine learning as a hobby? /u/StaySaucey_ CSCQ protests reddit

Currently majoring in Mathematics (different concentration) and Computer Science concentrated in software engineering. I’m interested in machine learning and deep learning, so would it be worth majoring in statistics?

I’m three classes away from finishing my mathematics degree already, but I have twoish years left, so I wouldn’t mind changing my math concentration. I’m also planning to take pretty much all the ML/AI courses at my university (including some cool ass grad courses too!) and hopefully do a master’s in machine learning or something similar after graduating. The only stats-related class I’ve taken is probability.

I’ve heard that the stats department at my university is horrendous. That being said, is it worth majoring in statistics if it’ll add maybe 20 extra credit hours and the department isn’t that great, or would it be worth learning it myself? I probably won’t go into the ML/AI field, since it’s so, so competitive, but I definitely would be into it as a hobby.

submitted by /u/StaySaucey_
[link] [comments]

r/cscareerquestions Currently majoring in Mathematics (different concentration) and Computer Science concentrated in software engineering. I’m interested in machine learning and deep learning, so would it be worth majoring in statistics? I’m three classes away from finishing my mathematics degree already, but I have twoish years left, so I wouldn’t mind changing my math concentration. I’m also planning to take pretty much all the ML/AI courses at my university (including some cool ass grad courses too!) and hopefully do a master’s in machine learning or something similar after graduating. The only stats-related class I’ve taken is probability. I’ve heard that the stats department at my university is horrendous. That being said, is it worth majoring in statistics if it’ll add maybe 20 extra credit hours and the department isn’t that great, or would it be worth learning it myself? I probably won’t go into the ML/AI field, since it’s so, so competitive, but I definitely would be into it as a hobby. submitted by /u/StaySaucey_ [link] [comments]

submitted by /u/StaySaucey_
[link] [comments] Currently majoring in Mathematics (different concentration) and Computer Science concentrated in software engineering. I’m interested in machine learning and deep learning, so would it be worth majoring in statistics? I’m three classes away from finishing my mathematics degree already, but I have twoish years left, so I wouldn’t mind changing my math concentration. I’m also planning to take pretty much all the ML/AI courses at my university (including some cool ass grad courses too!) and hopefully do a master’s in machine learning or something similar after graduating. The only stats-related class I’ve taken is probability. I’ve heard that the stats department at my university is horrendous. That being said, is it worth majoring in statistics if it’ll add maybe 20 extra credit hours and the department isn’t that great, or would it be worth learning it myself? I probably won’t go into the ML/AI field, since it’s so, so competitive, but I definitely would be into it as a hobby. submitted by /u/StaySaucey_ [link] [comments]

December 17, 2024cscareerquestions

Daily Chat Thread – December 17, 2024 /u/CSCQMods CSCQ protests reddit

Please use this thread to chat, have casual discussions, and ask casual questions. Moderation will be light, but don’t be a jerk.

This thread is posted every day at midnight PST. Previous Daily Chat Threads can be found here.

submitted by /u/CSCQMods
[link] [comments]

r/cscareerquestions Please use this thread to chat, have casual discussions, and ask casual questions. Moderation will be light, but don’t be a jerk. This thread is posted every day at midnight PST. Previous Daily Chat Threads can be found here. submitted by /u/CSCQMods [link] [comments]

Please use this thread to chat, have casual discussions, and ask casual questions. Moderation will be light, but don’t be a jerk.

This thread is posted every day at midnight PST. Previous Daily Chat Threads can be found here.

submitted by /u/CSCQMods
[link] [comments] Please use this thread to chat, have casual discussions, and ask casual questions. Moderation will be light, but don’t be a jerk. This thread is posted every day at midnight PST. Previous Daily Chat Threads can be found here. submitted by /u/CSCQMods [link] [comments]

December 17, 2024cscareerquestions

Resume Advice Thread – December 17, 2024 /u/CSCQMods CSCQ protests reddit

Please use this thread to ask for resume advice and critiques. You should read our Resume FAQ and implement any changes from that before you ask for more advice.

Abide by the rules, don’t be a jerk.

Note on anonomyizing your resume: If you’d like your resume to remain anonymous, make sure you blank out or change all personally identifying information. Also be careful of using your own Google Docs account or DropBox account which can lead back to your personally identifying information. To make absolutely sure you’re anonymous, we suggest posting on sites/accounts with no ties to you after thoroughly checking the contents of your resume.

This thread is posted each Tuesday and Saturday at midnight PST. Previous Resume Advice Threads can be found here.

submitted by /u/CSCQMods
[link] [comments]

r/cscareerquestions Please use this thread to ask for resume advice and critiques. You should read our Resume FAQ and implement any changes from that before you ask for more advice. Abide by the rules, don’t be a jerk. Note on anonomyizing your resume: If you’d like your resume to remain anonymous, make sure you blank out or change all personally identifying information. Also be careful of using your own Google Docs account or DropBox account which can lead back to your personally identifying information. To make absolutely sure you’re anonymous, we suggest posting on sites/accounts with no ties to you after thoroughly checking the contents of your resume. This thread is posted each Tuesday and Saturday at midnight PST. Previous Resume Advice Threads can be found here. submitted by /u/CSCQMods [link] [comments]

Please use this thread to ask for resume advice and critiques. You should read our Resume FAQ and implement any changes from that before you ask for more advice.

Abide by the rules, don’t be a jerk.

This thread is posted each Tuesday and Saturday at midnight PST. Previous Resume Advice Threads can be found here.

submitted by /u/CSCQMods
[link] [comments] Please use this thread to ask for resume advice and critiques. You should read our Resume FAQ and implement any changes from that before you ask for more advice. Abide by the rules, don’t be a jerk. Note on anonomyizing your resume: If you’d like your resume to remain anonymous, make sure you blank out or change all personally identifying information. Also be careful of using your own Google Docs account or DropBox account which can lead back to your personally identifying information. To make absolutely sure you’re anonymous, we suggest posting on sites/accounts with no ties to you after thoroughly checking the contents of your resume. This thread is posted each Tuesday and Saturday at midnight PST. Previous Resume Advice Threads can be found here. submitted by /u/CSCQMods [link] [comments]

December 17, 2024cscareerquestions

Data Engineering or Full-Stack? /u/hugkiller CSCQ protests reddit

Recently at my upcoming job, I’ve been asked what field I want to work at. I’ve narrowed it down to two options: data engineering and full-stack. On one hand, full-stack can provide some general skills that may be transferable and I have the most experience in it from two internships. On the other hand, I feel like I’ve gotten bored of full-stack for being too easy/repetitive after my two internships. For data engineering, I can specialize in a demanding field, solve more complex problems, and be closer to diving into the ML field, which is what I plan to specialize in for my Master’s. However, I have very little experience in data engineering and am afraid if I should focus on specializing or general skills more as a new grad.

submitted by /u/hugkiller
[link] [comments]

r/cscareerquestions Recently at my upcoming job, I’ve been asked what field I want to work at. I’ve narrowed it down to two options: data engineering and full-stack. On one hand, full-stack can provide some general skills that may be transferable and I have the most experience in it from two internships. On the other hand, I feel like I’ve gotten bored of full-stack for being too easy/repetitive after my two internships. For data engineering, I can specialize in a demanding field, solve more complex problems, and be closer to diving into the ML field, which is what I plan to specialize in for my Master’s. However, I have very little experience in data engineering and am afraid if I should focus on specializing or general skills more as a new grad. submitted by /u/hugkiller [link] [comments]

submitted by /u/hugkiller
[link] [comments] Recently at my upcoming job, I’ve been asked what field I want to work at. I’ve narrowed it down to two options: data engineering and full-stack. On one hand, full-stack can provide some general skills that may be transferable and I have the most experience in it from two internships. On the other hand, I feel like I’ve gotten bored of full-stack for being too easy/repetitive after my two internships. For data engineering, I can specialize in a demanding field, solve more complex problems, and be closer to diving into the ML field, which is what I plan to specialize in for my Master’s. However, I have very little experience in data engineering and am afraid if I should focus on specializing or general skills more as a new grad. submitted by /u/hugkiller [link] [comments]

December 17, 2024cscareerquestions

Is there a place for me in CS? (Mid-career physicist with semiconductor automation experience) /u/theyllfindmeiknowit CSCQ protests reddit

I have spent a decade in the semiconductor industry automating microscopy (and other sorts of measurements), and I am moving to a new city where there isn’t much of a tech presence. The jobs that do exist seem to be more ML/CS oriented, and I’m hoping to get some feedback about how my experience might (or might not) prepare me for a more code-heavy role.

My experience with ML is mostly in training and using machine vision models (chiefly Cognex) and supporting more homebrewed image analysis projects. I was not generally responsible for the data pipelines or more backend stuff, though I have used a bit of opencv. I enjoyed this work and was successful, and my models functioned better than my peers’. I managed to automate some tricky things that had a real payoff, and it felt great.

I have a physics (Ph.D.) background by training, but I have done useful (though not super complex) things in Python for a long time, though I wouldn’t consider myself a true software engineer so much as proficient in scripting and data analysis. I have never wanted to break into full time coding because I found the mundane details of implementation (learning syntax for new packages I haven’t played with, managing version tracking infrastructure, etc.) challenging to hold my interest. ChatGPT, with all its faults, has been a great gift for me because it provides some shortcuts through the mundane parts and allows me to focus on the fun/interesting crux of the issue. Perhaps this is emboldening me to consider a career shift now.

Is this type of background useful in any CS jobs? What am I missing that I would need to land something, if not?

submitted by /u/theyllfindmeiknowit
[link] [comments]

r/cscareerquestions I have spent a decade in the semiconductor industry automating microscopy (and other sorts of measurements), and I am moving to a new city where there isn’t much of a tech presence. The jobs that do exist seem to be more ML/CS oriented, and I’m hoping to get some feedback about how my experience might (or might not) prepare me for a more code-heavy role. My experience with ML is mostly in training and using machine vision models (chiefly Cognex) and supporting more homebrewed image analysis projects. I was not generally responsible for the data pipelines or more backend stuff, though I have used a bit of opencv. I enjoyed this work and was successful, and my models functioned better than my peers’. I managed to automate some tricky things that had a real payoff, and it felt great. I have a physics (Ph.D.) background by training, but I have done useful (though not super complex) things in Python for a long time, though I wouldn’t consider myself a true software engineer so much as proficient in scripting and data analysis. I have never wanted to break into full time coding because I found the mundane details of implementation (learning syntax for new packages I haven’t played with, managing version tracking infrastructure, etc.) challenging to hold my interest. ChatGPT, with all its faults, has been a great gift for me because it provides some shortcuts through the mundane parts and allows me to focus on the fun/interesting crux of the issue. Perhaps this is emboldening me to consider a career shift now. Is this type of background useful in any CS jobs? What am I missing that I would need to land something, if not? submitted by /u/theyllfindmeiknowit [link] [comments]

Is this type of background useful in any CS jobs? What am I missing that I would need to land something, if not?

submitted by /u/theyllfindmeiknowit
[link] [comments] I have spent a decade in the semiconductor industry automating microscopy (and other sorts of measurements), and I am moving to a new city where there isn’t much of a tech presence. The jobs that do exist seem to be more ML/CS oriented, and I’m hoping to get some feedback about how my experience might (or might not) prepare me for a more code-heavy role. My experience with ML is mostly in training and using machine vision models (chiefly Cognex) and supporting more homebrewed image analysis projects. I was not generally responsible for the data pipelines or more backend stuff, though I have used a bit of opencv. I enjoyed this work and was successful, and my models functioned better than my peers’. I managed to automate some tricky things that had a real payoff, and it felt great. I have a physics (Ph.D.) background by training, but I have done useful (though not super complex) things in Python for a long time, though I wouldn’t consider myself a true software engineer so much as proficient in scripting and data analysis. I have never wanted to break into full time coding because I found the mundane details of implementation (learning syntax for new packages I haven’t played with, managing version tracking infrastructure, etc.) challenging to hold my interest. ChatGPT, with all its faults, has been a great gift for me because it provides some shortcuts through the mundane parts and allows me to focus on the fun/interesting crux of the issue. Perhaps this is emboldening me to consider a career shift now. Is this type of background useful in any CS jobs? What am I missing that I would need to land something, if not? submitted by /u/theyllfindmeiknowit [link] [comments]

December 17, 2024cscareerquestions

Never ever go above and beyond and try to do better than others /u/Effective_Manner3079 CSCQ protests reddit

It will only lead to frustration and sadness as you know you can produce a better product. Even if you achieve more you won’t be rewarded for it. Just be average to slightly above average at best. NOTHING in my decade career where I tried to be a high achiever has ever paid off.

submitted by /u/Effective_Manner3079
[link] [comments]

r/cscareerquestions It will only lead to frustration and sadness as you know you can produce a better product. Even if you achieve more you won’t be rewarded for it. Just be average to slightly above average at best. NOTHING in my decade career where I tried to be a high achiever has ever paid off. submitted by /u/Effective_Manner3079 [link] [comments]

submitted by /u/Effective_Manner3079
[link] [comments] It will only lead to frustration and sadness as you know you can produce a better product. Even if you achieve more you won’t be rewarded for it. Just be average to slightly above average at best. NOTHING in my decade career where I tried to be a high achiever has ever paid off. submitted by /u/Effective_Manner3079 [link] [comments]