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With the back-to-school season in full swing, you may be wondering if you have what you need to succeed in your math and science classes. You’re in luck, as Linux happens to be one of the main platforms of math and science. you may use the same apps professionals do to earn top grades.
1SageMath
SageMathis an open-source mathematics system that’s intended to be similar to Mathematica or MATLAB. You can do regular math but it’s so much more powerful than a regular calculator. SageMath is a computer algebra system.
This means that it works symbolically instead of just numerically. It can simplify algebraic expressions like square roots and display them the way they’d look in a textbook. You can solve equations, perform differential and integral calculus, work with matrices to solve systems of linear equations, and that’s just scratching the surface with SageMath. This will let you breeze through your toughest math and physics assignments. It’s also based on Python, which in itself will give you an advantage, as it’s one of the most widely-used languages in scientific computing.
2SymPy
SymPyis a Python library that also works as a computer algebra system, similar to SageMath. The advantage of SymPy is that it’s a much lighter download and installation than SageMath, which is often over a gigabyte. SymPy can also manipulate algebraic equations and do advanced math like calculus. SageMath even uses SymPy as one of its components.
3Stellarium
A lot of people are fascinated by the night sky. I was also one of those kids who loved space and astronomy growing up. If you’re like me or you’re taking an astronomy class,Stellariumwould be a good app, even foramateur astronomy. Stellarium turns your Linux machine into a planetarium. You can see the constellations and planets as you would on the ground or up close, no spaceship required.
It’s used by many actual planetariums. This is one of the things that Linux does best, putting professional tools in the hands of ordinary people. There’s even a web-based version, so you don’t have to install anything on your local machine.
4Avogadro
If you’re studying chemistry, there’s an app for you.Avogadrois an open-source program that lets you build and edit 3D models of molecules. Avogadro supports multi-threading rendering and computation, so you may win a Nobel Prize that much faster.
Avogadro is highly extensible in Python. It’s so widely used in chemistry that they even tell you how to cite Avogadro in a paperin their documentation.
5Celestia
If Stellarium is meant to be a planetarium,Celestiamight be the closest thing to having your own personal spaceship. You can zoom around and see the planets, stars, and galaxies. This is an essential program for people studying astronomy or perhaps those who just dreamed about being an astronaut when they grew up.
Celestial objects move around in real time, and you’re able to download even more content. You can even make your own.
6dc
dcis a command-line calculator. But it’s not just any calculator. It works in Reverse Polish Notation (RPN). In contrast to a standard calculator that uses infix notation, such as “2 + 2,” an RPN calculator uses a stack.
With RPN, you “push” 2 and 2 onto the stack, much as you would place two dishes on top of each other. The addition operation “pops” 2 and 2 off the stack and pushes 4 onto it, which is the answer. HP-branded calculators were famous for using this input method, and engineers who came of age in the ’70s and ’80s still swear by them. One reason they’ve stuck with RPN is that it’s easier than typing in parentheses for complicated formulas, which is why HP calculators were so popular among scientists and engineers, all while probably muttering something about “kids these days.”
You can experience RPN for yourself right at the command line. dc is one of the oldest commands that’s still in use, being originally developed at Bell Labs for Unix systems back in the 1970s, though the dc on modern Linux systems comes from the GNU project. dc is little-changed from its origins.
7Qalculate!
If dc is a terminal-based calculator,Qalculate!(yes, with an exclamation point) is a cross-platform calculator with all the bells and whistles. It bills itself as “the ultimate desktop calculator.”
You have all the usual mathematical functions, plus unit conversion, complex and infinite numbers, variables, and constants for physics and other sciences. It also includes CAS functions, including integration and differentiation. you’re able to make plots of functions as you would on a graphing calculator. It even includes RPN as an optional input method. Handheld calculators with all of these features will run you hundreds of dollars, but Qalculate! is free of charge. It’s a STEM student and math nerd’s dream.
8R
Statistics is a key element of data science, andRis one of the best tools to perform statistics and other data science operations. You can have all the standard descriptive statistics operations, such as mean and median, as well as standard deviation. R is also known for its ability to generate good-looking plots of your data.
R has a large community and there are consequently many packages you can download to extend R’s functionality. A lot of these are available from CRAN, the Comprehensive R Archive Network, obviously modeled on Perl’s CPAN archive.
9Numpy, SciPy, Pandas
NumPy,SciPy, andpandasare similar to R, but instead of using a standalone programming language, are Python libraries for scientific computing and data science. As with R, there are a lot of methods for carrying out statistical operations, but SciPy and NumPy offer other advanced math operations using calculus and matrix operations.
10GNU Octave
GNU Octaveis a software package that’s intended to be a free and open-source drop-in replacement for MATLAB. As MATLAB is widely used in science and engineering, if you already know it, you can get started using GNU Octave almost immediately. You can use matrices to solve systems of linear equations much more easily than you could by hand, and you can also make beautiful plots.
