Relearning data structures and algorithms

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That’s right. I’m writing this post on Halloween night in Salem, Massachusetts.

The title of this post is ambiguous. What I mean by “forgetful” is I’ve, almost entirely, forgotten all I know about fundamental data structures and algorithms. I don’t practice them daily, so knowledge of them naturally withered over time. I’ve since made a commitment to revisit them.

Now, I don’t have a CS degree. I only minored in CS. At the time, I thought it would be advantageous to have a strong background in business and a familiarity with programming. But, at my first job out of college, I quickly realized all that I learned in business school would not apply to any software development job.

Data structures

A couple weeks ago, I committed to relearn the data structures which were taught to me by Jim Canning in 91.101. In his class, students were taught to implement data structures and algorithms in C. And so, when I began my endeavor, I wrote an implementation of a linked list and a stack in C. It wasn’t long before my impatience got the best of me.

C is a difficult language to code in. Since college, I’ve become so used to object-oriented languages like Swift, Ruby, Python and PHP that being forced to write header files and function declarations drove me bananas. Creating a string in C is not an easy task. I spent too much time tediously fixing syntax errors in my C code that I couldn’t focus on the subject at hand. So I gave up.

Along came Python

I forked a repository of algorithms written in Python and began to contribute. It was cakewalk compared to my C implementations. The code was easier to follow and the best part is tests written with Python’s unittest framework can be run all at once with the following command:

python -m unittest discover

I was quickly inspired me to purchase a few books on algorithm design which contain coding puzzles and problems. I’m in the process of reading and solving those problems.

Python in higher education

These days, universities (MIT is one of them) teach fundamental algorithms design and data structures in Python, not C. With Python, students can focus on constructing programs instead of yielding to GCC’s unforgiving syntax.

But, Python cloaks the underlying operations that are more evident in C (i.e. pointer manipulation, dynamic memory allocation and static arrays). That said, having exposure to C is important for a proper CS education, but I don’t think it is the language to use when studying algorithms. I spent too many late nights in Olsen Hall stuggling with C.


Learn, or “drink in” as Jim would say, the basic data structures and algorithms which have shaped the technology industry. Have an intimate knowledge of the programs you build. Revisit these concepts every year to retain this information. Do not wait 10 years like I did. And, if you don’t have a GitHub account, get one! You need a digital notebook.