I went into cs mainly for problem solving, what was your main goal when going into the industry? Are you planning to work for a company or interested in entrepreneurship at all? Let me know and thanks for reading!

Hello all! I'd love to hear the difference perspectives and experiences on obtaining "buy in" on your teams over your careers. For example, I joined a team over a year ago in a lead capacity only to find an absence of documentation, unit tests, integration tests, or even coding standards for PR. I'm working to obtain buy-in from the existing team and management by leading from the front and showcasing examples. I'll admit, it has been slow going. How have y'all worked past this yourselves? I very much have a "leave it better than you found it" view point, and I'd love to make a positive impact.

In the discussions I've had with a few engineers recently I realized that everyone comes to learning data structures and algorithms (DSA) differently. For example, for those of us who are self-taught we have to go out of our want to learn this stuff. If you go to school for CS you likely took a course on them. I have spent thousands of dollars trying to find a shortcut because I didn't want to put the work in. I can tell you that even after buying some of the top courses, books, subscriptions, etc. there is no substitute for putting in the work. However, you can still work smarter so that it won't feel like an endless grind. The way to do that is to identify and learn the common patterns to the solutions to DSA problems. Also, there are some patterns that give you more for your learning time. I've seen extensive lists for DSA patterns. Many of them are really sub-versions of other patterns. Examples include: - Sliding Window pattern is a variation of two pointers, - Backtracking is usually a variation of depth-first search - Breadth-first search is close enough to topological I'll include them There are lots of different lists to consider but I've found the ones from Algo Monster to be good enough. I have their lifetime premium subscription so I don't know how much of the data used to generate these is public so I'm just including the images. There are 12 patterns in the pie chart but that includes "misc." so I can't say how many that represents. There are 12 in the table are the ones I have stuck to for years. If you don't have a premium subscription with them I'll save you a bit of time/money. They did a bunch of analysis on LeetCode data. The data does include some of LC's premium questions. Short version, that analysis is how they concluded the values in the ROI column. The closest thing to a shortcut I've found is to work on learning the patterns in the ROI order.

Hey! Welcome to the community. Thrilled to have you here. This place is going to be amazing. Leave a comment introducing yourself to the group and reply to 3 other people's intro.

For years I've thought that cold applying to jobs is demoralizing. It used to work though so I felt that it balanced things out. At the end of 2024 I all but stopped cold applying anywhere because it is a huge waste of time. Since November I've had 2 posts go viral (pictured). Most of this group joined as a result of the 2nd one. The attention from the viral posts isn't the point nor necessary. I bring it up to illustrate that I know what I'm talking about when it comes to getting results from LinkedIn's algorithm. My strategy for job hunting is to get recruiters to reach out to me. I have 3 not so secret, secret tactics to make that happen: 1. Respond quickly to all recruiter outreach (and all DMs in general) 2. Comment daily on 10-20 posts of people with big followings (>10k) 3. Post 3-7 times a week (daily is good, 2x daily is better, I don't count reposting things) These three activities will mark your account as active when recruiters search LinkedIn. They are more likely to reach out to active accounts. You need to do these things for 2-3 weeks to see results but the results are dramatic. If you would like help implementing these things let me know. I have a few tricks to make it easier.