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The NumWorks graphing calculator was the first graphing calculator to be programmable using the Python language. It features a 320x240 IPS display with a 2.8″ diagonal. Internally, it is powered by a 216 MHz Cortex-M7 processor and 8 MB of Quad-SPI Flash memory. The calculator has a 1450 mAh lithium polymer battery. The calculator weights 5.9 ...
The primary difference between a computer algebra system and a traditional calculator is the ability to deal with equations symbolically rather than numerically. The precise uses and capabilities of these systems differ greatly from one system to another, yet their purpose remains the same: manipulation of symbolic equations .
These variables are also shared by other functions of the calculator, for instance, drawing a graph will overwrite the X and Y values. MicroPython was added to Casio graphing from the PRIZM fx-CG50 and the fx-9860 GIII series. The latest Classwiz CG Series of graphing calculators instead use the Python programming language. [12]
Chart Studio Cloud is a free, online tool for creating interactive graphs. It has a point-and-click graphical user interface for importing and analyzing data into a grid and using stats tools. [ 13 ] Graphs can be embedded or downloaded.
An early graphing calculator was designed in 1921 by electrical engineer Edith Clarke. [1] [2] [3] The calculator was used to solve problems with electrical power line transmission. [4] Casio produced the first commercially available graphing calculator in 1985. Sharp produced its first graphing calculator in 1986, with Hewlett Packard ...
Originally, calculator programming had to be done in the calculator's own command language, but as calculator hackers discovered ways to bypass the main interface of the calculators and write assembly language programs, calculator companies (particularly Texas Instruments) began to support native-mode programming on their calculator hardware ...
x:= 0 y:= 0 x2:= 0 y2:= 0 while (x2 + y2 ≤ 4 and iteration < max_iteration) do y:= 2 * x * y + y0 x:= x2 - y2 + x0 x2:= x * x y2:= y * y iteration:= iteration + 1 Note that in the above pseudocode, 2 x y {\displaystyle 2xy} seems to increase the number of multiplications by 1, but since 2 is the multiplier the code can be optimized via ( x ...
graph-tool is a Python module for manipulation and statistical analysis of graphs (AKA networks). The core data structures and algorithms of graph-tool are implemented in C++ , making extensive use of metaprogramming , based heavily on the Boost Graph Library . [ 1 ]