[Python-announce] GF4 Graphics Calculator V1.4 Released

[Thomas Passin]

Version 1.4 of the GF4 Graphics Calculator is now available on GitHub at

https://github.com/tbpassin/gf4-project/tree/1.4

This version contains the following changes, among others:

- Least Squares fits can be any polynomial power, not just linear;
- Improvements to normalization and horizontal axis for convolution,
  correlation, and auto-correlation;
- An extended help system for more detailed explanations of commands
  (only a few commands are available so far).
- Startup line colors can be set using an ini file;

A more complete list of recent changes is in the file recent_changes.md 
on the GitHub site.

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[Python-announce] ANN: GF4 Now Has A Plugin Capability

[Thomas Passin]

A new plugin capability for the GF4 Waveform Calculator lets a Python 
file in the new plugins directory add a new command and command button. 
This is helpful for adding or developing new functionality.


Basic information for writing and using plugins is included in the 
README file in the plugins directory.


As always,the devel branch contains the most recent changes.

There is also a new recent_changes.md file in the project root.

GF4 is a Python program to display two-dimensional data, such as time 
series data, and to perform mathematical operations on the data or 
between two related data sets. The program aims to make data exploration 
easy and enjoyable.


The project is hosted on Github:

https://github.com/tbpassin/gf4-project/

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[Python-announce] GF4 Graphics Calculator V1.11 Announced

[Thomas Passin]

GF4 is a program to display two-dimensional data, such as time series data, and 
to perform mathematical operations on the data or between two related data 
sets.  The program aims to make data exploration easy and enjoyable.

The program's interface is modeled after hand-held calculators of the "reverse 
polish notation" (RPN) style. This kind of calculator was made famous by 
Hewlett-Packard, starting with their HP-35 and HP-45 calculators. GF4 works 
with waveforms in place of the numbers manipulated by those hand calculators.

Thus, a waveform can be scaled, squared, have its logarithm taken, integrated 
and differentiated, be normalized and rectified, and so on. A 
discrete Fast Fourier Transform is provided that is not limited to powers of 
two in data length. Data can be trimmed or padded. Curve fitting and smoothing 
of several varieties can be done. Two waveforms can be added, subtracted, 
multiplied, and divided (where possible), correlated or convolved together, 
among others.

A certain number of basic waveforms can be generated, including a delta 
function, step, ramp, sine and damped sine, Gaussian PDF and CDF distributions, 
and more. Altogether there are nearly 80 different operations available.

Like RPN calculators, GF4 operations are organized around a stack of data sets. 
Unlike those calculators, the various stack levels can be accessed directly as 
well.

GF4 is complementary to programs like CodraFT, though there is some degree of 
overlap.

GF4 is written in Python 3, and makes use of MatPlotLib, NumPy, Scipy, and some 
other standard libraries.

GF4 is available from a Github repository at 
https://github.com/tbpassin/gf4-project. 

The current release is the 1.1 branch; the most recent changes are in the devel 
branch.

User documentation (still in progress) is at 
http://tompassin.net/gf4/docs/GF4_Users_Guide.html.

A QuickStart section of the User Guide is at 
http://tompassin.net/gf4/docs/quickstart.html.

There is a blog at http://tompassin.net/gf4/blogsite.

Please direct correspondence to g...@tompassin.net.
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