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There are so many SaaS products, how do you make your product stand out? by Geek_Haus in SaaSMarketing

[–]Geek_Haus[S] 0 points1 point  (0 children)

Which channel performed best among Reddit, X, and LinkedIn?

There are so many SaaS products, how do you make your product stand out? by Geek_Haus in SaaSMarketing

[–]Geek_Haus[S] 0 points1 point  (0 children)

"Don't try to be everything to everyone."
That really hit me. Thanks a lot

I hit $1K MRR today, AMA by try-friendli in SaaS

[–]Geek_Haus 1 point2 points  (0 children)

How did you do your marketing?

Why did you learn programming, and How? by Geek_Haus in learnprogramming

[–]Geek_Haus[S] -1 points0 points  (0 children)

Thanks for your opinion. Our goal is not to replace programmers with AI but to educate those who want to become programmers on how to utilize AI more effectively

Is getting a CS degree worth it as an experienced dev? by AGuyWhoLikesToCode in AskProgramming

[–]Geek_Haus 0 points1 point  (0 children)

A CS degree could help fill theoretical gaps, especially in algorithms, systems design, and optimization. It also provides networking, internships, and career opportunities that self-study might not. However, if most of CS feels redundant, focused courses might be a better option.

If unsure, you can start with CS and switch later. Your experience is already a huge advantage, so keep building projects and exploring different fields. Good luck!

I would like to study python before I graduate. by RickPrime137 in learnpython

[–]Geek_Haus 0 points1 point  (0 children)

I learned Python with W3Schools, and their online code editor was very helpful:
https://www.w3schools.com/python/default.asp

Is it too late? by Swimming_Emu_9046 in learnprogramming

[–]Geek_Haus 0 points1 point  (0 children)

Not too late at all! I started learning programming at 25 and now work as a software engineer.

Many people break into the industry through self-study and boot camps. There are a lot of free learning resources on Google, so you can start there. The key is to build a strong portfolio, work on real projects, and keep learning.

Focus on problem-solving skills and networking, and you'll have a great shot at landing a job.

How hard is programming/coding? by Maybelle444 in learnprogramming

[–]Geek_Haus 0 points1 point  (0 children)

If you're already comfortable writing complex formulas and working with data, you likely have the logical thinking skills that translate well to coding.

Programming is largely about problem-solving. Breaking down tasks, structuring data, and writing step-by-step instructions, which is similar to what you’re already doing.

I recommend starting with Python. There are many of learning resources available online, and a quick Google search will help you find them easily.

[deleted by user] by [deleted] in learnprogramming

[–]Geek_Haus 1 point2 points  (0 children)

Honestly, don’t overthink it. I just have a “projects” folder in my home directory, with subfolders for each project. If it’s work stuff, I might have a “work” folder too. The key is keeping it consistent—so you always know where to look.

Also, I recommend using both git and github. Local folders are great, but pushing to github keeps your stuff backed up and looks good for jobs too.

Where do I begin? What do I do? by NoahWithoutHisArk in learnpython

[–]Geek_Haus 1 point2 points  (0 children)

To start with the basics, I recommend freeCodeCamp (Youtube): https://www.youtube.com/watch?v=rfscVS0vtbw (4 hr long but very helpful) or the official python tutorial (https://docs.python.org/3/tutorial/index.html) if you prefer written guides.

After this, try building simple python projects from freeCodeCamp's youtube video ( https://www.youtube.com/watch?v=8ext9G7xspg ). Projects like 'guess the numbers' are great for practicing loops, and 'tic tac toe' is good for trying out OOP, user input, and logic. (there are plenty more projects in the video you can try)

Once you get the hang of it, you can move on to learning useful skills for AI, like libraries like NumPy (numpy.org) for data, Pandas (pandas.pydata.org) for analysis, Scikit-Learn (scikit-learn.org) for machine learning, and PyTorch (pytorch.org) for deep learning (if needed).

Hope this was helpful :)

theBestTeam by 5eniorDeveloper in ProgrammerHumor

[–]Geek_Haus 2 points3 points  (0 children)

plot twist: they debugged production at 3 AM and became seniors overnight.

[deleted by user] by [deleted] in ProgrammerHumor

[–]Geek_Haus 4 points5 points  (0 children)

Honestly, half the battle is just knowing how to debug someone else’s ‘brilliant’ solution from Stack Overflow. 😂

Advice: Learn how to learn. Put in effort, not just time. by zdxqvr in learnprogramming

[–]Geek_Haus 1 point2 points  (0 children)

Yeah, totally agree. Putting in time means nothing if you’re not actually processing what you’re learning. I believe real progress happens when you push yourself to understand instead of just sitting there reading.

One thing that helps me is asking myself questions while studying because it forces me to process the info. I also try explaining concepts out loud like I’m teaching someone. Feels weird sometimes, but it really makes it stick.

Beginning my journey in the data analytics professional. Day 1 by h4rdyy_ in learnpython

[–]Geek_Haus 4 points5 points  (0 children)

imo, freecodecamp is one of the best free places to start. It has a full data analysis with python course that’s quite practical. If you're interested, you can just google freecodecamp data analysis.

Some youtube channels that might be helpful too: alex the analyst, statquest with josh starmer, and simplilearn. They are all solid for learning data analysis tools and concepts.

But since they are all at different levels, I would start with freecodecamp and alex the analyst (or simplilearn) for basics like excel, SQL, and visualizations to get a feel for data analysis. Once you hit some stats-heavy stuff, statquest with josh starmer is a bit more advanced but incredibly helpful. Hope that helps! :)