What is the use of computer science degree

A Computer Science degree is not meant to teach you HTML, CSS, or how to write React components—these are things an average 14-year-old can learn from YouTube or a coding bootcamp. You didn’t score an A to be taught HTML or React.

The purpose of a CS degree is to introduce students to the fundamental principles of computing, algorithms, data structures, and programming paradigms, often through languages like C or C++. These languages enforce an understanding of memory management, efficiency, and problem-solving—skills that apply universally across all programming disciplines.

Universities are not training grounds for specific frameworks or tools that change every few years; they are meant to shape problem-solvers who can adapt to any technology. If you went to university expecting to be taught React or Vue, you misunderstood the purpose of a CS degree.

Those are things you pick up along the way, but the real value of your education is in mastering the science behind computing.

#come on

Comments

Python road map

Ways of pandas making faster

FireDucks makes Pandas 125x Faster (changing one line of code) 🧠 Pandas has some major limitations: - Pandas only uses a single CPU core. - It often creates memory-heavy DataFrames. - Its eager (immediate) execution prevents global optimization of operation sequences. FireDucks is a highly optimized, drop-in replacement for Pandas with the same API. There are three ways to use it: 1) Load the extension: ↳ %𝐥𝐨𝐚𝐝_𝐞𝐱𝐭 𝗳𝗶𝗿𝗲𝗱𝘂𝗰𝗸𝘀.𝐩𝐚𝐧𝐝𝐚𝐬; 𝗶𝗺𝗽𝗼𝗿𝘁 𝗽𝗮𝗻𝗱𝗮𝘀 𝗮𝘀 𝗽𝗱 2) Import FireDucks instead of Pandas: ↳ 𝐢𝐦𝐩𝐨𝐫𝐭 𝗳𝗶𝗿𝗲𝗱𝘂𝗰𝗸𝘀.𝐩𝐚𝐧𝐝𝐚𝐬 𝐚𝐬 𝐩𝐝 3) If you have a Python script, execute is as follows: ↳ 𝗽𝘆𝘁𝗵𝗼𝗻3 -𝗺 𝗳𝗶𝗿𝗲𝗱𝘂𝗰𝗸𝘀.𝗽𝗮𝗻𝗱𝗮𝘀 𝗰𝗼𝗱𝗲.𝗽𝘆 Done! ✔️ A performance comparison of FireDucks vs. DuckDB, Polars, and Pandas is shown in the video below. Official benchmarks indicate: ↳ Modin: ~1.0x faster than Pandas ↳ Polars: ~57x faster than Pandas ↳ FireDucks: ~125x faster than Pandas Credit- Ultan...

TECH AND SCIENCE CONTENT BELOG.

Search This Blog