I started an on-line python course that used Pycharm as its basis. I had previously used Thonny to look at code for various programs. I found Pycharm to be over-featured for a beginner like me. Thonny seems much more on my level so I am continuing the course using it instead. And successfully I might add.
Based on our record, Thonny seems to be a lot more popular than GnuPlot. While we know about 111 links to Thonny, we've tracked only 5 mentions of GnuPlot. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Raspberry Pi Pico (MicroPython): The Thonny IDE is highly recommended and often pre-installed in Raspberry Pi OS. - Source: dev.to / about 1 month ago
The nice thing about Python is that because it's so pervasive as a teaching language, there are many tools for it that specifically cater to this niche. In particular, https://thonny.org is very nice for explaining basic programming concepts like expression evaluation and function calls. And yeah, turtle graphics is the time-honored method of teaching things like loops, recursion, and parametrization via functions... - Source: Hacker News / 7 months ago
Thonny or IDLE are great starting points for beginners due to their simplicity. As you become more comfortable, VS Code or PyCharm Community Edition offers more features to help you develop your skills. - Source: dev.to / 10 months ago
Install Thonny and run it. Then go to Tools -> Options, to configure the ESP32C3 device in Thonny to match the settings shown in the screenshot below. - Source: dev.to / over 1 year ago
The recommended way to programm MicroPython on the Raspberry Pico is to use the Thonny IDE. Accessing the Badger with reveals the following file structure:. - Source: dev.to / over 1 year ago
To some extent it extends the concept of tasks which only can be reasonably executed after the completion of other ones (though results of branches eventually may join each other) and offers an additional assisting birds' eye visual of projects. So far, I'm aware about the documentation on worg interfacing org-taskjuggler and taskjuggler, as well as a video tutorial interfacing gnuplot instead. Source: about 2 years ago
Gnuplot is a program to plot diagrams. The Commands issued to use it don't change regardless if it is used in Linux/Windows/MacOS and it comes with less dependencies than a Spread sheet, or a statistics program. This is why I started to Become comfortable with it, and venture out some of its features. Here, "conditional plot" referred to "the diagram only displays a Thing/uses a pixel if the value in the table... Source: about 2 years ago
Or, does drawing diagrams refers to plotting data, but neither using matplotlib, nor gnuplot (export to .svg, .pdf, .png; pstricks, tikz to mention a few options)? Source: about 2 years ago
There may the occasion you actually need the data from a publication, and want to plot them altogether with data newly collected data in one diagram in common. An overlay, though possible, can become tricky (scaling, centering, alignment, etc.) and plotting all data in a diagram generated from scratch (gnuplot/octave, matplotlib, Origin, ...) exported as an illustration in the usual formats (.pdf/.png), or... Source: over 2 years ago
Have you looked at the graphing capabilities of Octave or Gnuplot? Gnuplot in particular has a lot of options, and a GUI for those who want it. Source: over 2 years ago
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
GeoGebra - GeoGebra is free and multi-platform dynamic mathematics software for learning and teaching.
IDLE - Default IDE which come installed with the Python programming language.
Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
VS Code - Build and debug modern web and cloud applications, by Microsoft
SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.