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Version 1.0.4.1

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@Z-H-Sun Z-H-Sun released this 19 May 21:48
v1.041
4ff1535

What's new

  • Starting from this version, please note that the configuration file was renamed from Config.ini to FETAnal.config, which bears more functions
  • Optimized user interface (For Windows users)
  • Users can now create a desktop shortcut with preset setups by simply double-clicking CreateDesktopShortcuts.exe (For Windows users)
  • The executable is now compiled by Nuitka, which translates Python into a C level program and runs twice as fast as the native CPython interpreter! (For Windows users)
  • The release package switched to a better backend for GUI (Tk/Tcl → Qt for Windows users, MacOS → Tk/Tcl or Qt for Mac users)
  • Experimental features:
    • Customizable window size
    • Automatic placement of the the console window (for Windows only) and the figure window so that they will not overlap
    • Changed the figure title to the name of the input file

Which to download

For Windows

  • CLab_Win_Release.NICSA_1.081+FETAnal_1.041.zip: Now a combined package of FETAnal and NICSA on Windows, CLab, is released! It takes up about the same space as either of the modules but does both modules' job.
    • For users in mainland China: 嫌G站下载慢的可以移步百度网盘（提取码: csme）
  • FETAnal_1.041_Win_Release.zip: It is recommended to use the compiled program, because it is now a C-level program and runs much faster.
    • If you have already downloaded CLab, there is no need to download this one as well
  • For either package, you will need Microsoft Visual C++ Redistributable for Visual Studio 2015-2019 installed (Download here); otherwise, the system will prompt you that "vcruntime140.dll is missing." However, it is very likeyly that you have already installed it because a lot of other softwares depend on it
  • Starting from this version, the dev package will no longer be under maintenance. Please refer to previous versions if you must use it

For Mac OS

  • FETAnal_1.041_Mac.zip: Fortunately, Python 2.7 with Matplotlib 1.3 and Numpy 1.8 was built-in to Mac OS X. However, the library lacks xlrd, and thus it should be set up additionally; Or, if you do not want to deal with those pip stuff, we provide this package with xlrd 1.2.0 integrated

Examples

Assets 4
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