Computer-Science

9 Months with GPT-4: Can I Fire my Developers Yet?

Dec 03, 2023 by Lane Wagner

GitHub has been re-founded on copilot, rumors of an AI superior to GPT-4 abound, and you’re trying to decide if it’s worth it to learn what a red-black tree is.

Is Computer Science Really that Hard?

Apr 05, 2023 by Natalie Schooner

Yes, computer science is hard, but you already know that. You don’t want to know if computer science is hard.

The Top 11 Computer Science Books for Self Study [2024]

Aug 24, 2022 by Natalie Schooner

In today’s modern, fast-paced world, we look to StackOverflow, Reddit, and hands-on courses to learn about computer science and software engineering.

A Complete Overview of Computer Science for Beginners

Aug 21, 2022 by Winston Wagner

Getting into computer science can be a daunting task. There are so many career paths down which a computer education can take you, so many programming languages to master, and so many skills to learn.

What is the Future of Computer Science?

Aug 16, 2022 by Natalie Schooner

In a word, the future of computer science is promising. In a few more words, the future of computer science is promising, but with challenges to overcome.

6 Undeniable Reasons to Learn Computer Science

May 10, 2022 by Zulie Rane

Is it a bit dramatic, perhaps, to say that the fate of the world rests on computer science and that’s why you should learn computer science?

Advanced Algorithms Course Released on Boot.dev

Apr 05, 2021 by Lane Wagner

Sorry it took so long for me to get this one out! Learn Advanced Algorithms was just released, and I’m excited to let you all get your hands on it, even if you’re just auditing it for free!

Writing a Binary Search Tree in Python with Examples

Jan 12, 2021 by Lane Wagner

What is a binary search tree? 🔗 A binary search tree, or BST for short, is a tree where each node is a value greater than all of its left child nodes and less than all of its right child nodes.

Building a Linked List in Python with Examples

Jan 11, 2021 by Lane Wagner

A linked list is a linear data structure where elements are not stored next to each other in memory.

Should you Learn Computer Science or Software Engineering?

Dec 17, 2020 by Winston Wagner

The most important thing to understand about these two fields of study is that, ultimately, they are similar.

Guide to Getting a Certificate in Computer Science

Dec 15, 2020 by Zulie Rane

There are so many reasons to want to get a certificate in computer science in 2021, especially when you compare it to alternatives like getting a degree or attending a coding bootcamp.

6 Computer Science Resume Examples

Dec 14, 2020 by Lane Wagner

It’s really hard to get your foot in the door for engineering interviews, especially if you have no experience and are looking for an entry-level position.

The Highest-Paying Computer Science Jobs

Dec 09, 2020 by Lane Wagner

There are many jobs within the software industry, and most of them are easier to land or are higher-paying once you land them, if you have a solid grasp of computer science fundamentals.

Computer Information Systems vs Computer Science

Dec 03, 2020 by Winston Wagner

As technology continues to advance, the need for professionals who are capable of utilizing and understanding computers continues to grow.

The History of Computer Science - A Timeline

Dec 03, 2020 by Winston Wagner

Prehistory 🔗 The Antikthyera Mechanism For as long as humans have needed to count, they have endeavored to find ways to make that process simpler.

Certificates vs Diplomas in Computer Science

Dec 02, 2020 by Zulie Rane

When I was looking into getting my first job related to programming, I had no idea what the difference between a certificate and a diploma was.

Examples of Heuristics in Computer Science

Nov 30, 2020 by Winston Wagner

Heuristics in computer science and artificial intelligence are “rules of thumb” used in algorithms to assist in finding approximate solutions to complex problems.

Comprehensive Guide to Learn Computer Science Online

Nov 18, 2020 by Lane Wagner

Be careful about deciding the best way to learn to code. Not all paths are equally effective.