Loading repository data…
dphdmn / repository
GUI application, written in Python/Tkinter to track session stats for sliding puzzle simulator slidysim.com
GUI application, written in Python/Tkinter to track session stats for sliding puzzle simulator slidysim.com
If you are running a python script directly, ensure you have the following Python libraries installed:
pyperclipttkbootstrapmatplotlibPillowconfigparsertktimepickerPuzzle Image generation was removed from v2.0.
Therefore, cairosvg is no longer required, 3rd party tool slidy-cli is also no longer required.
Instead of puzzle image, just a clickable Egg button is used.
Scrambler Limitations: The program supports only the Random Permutation scrambler type. It does not support random moves or custom difficulty settings. Implementing these features would add complexity to an already cluttered interface and codebase.
Bulk Export Limitation: When exporting selected BULK solves of complex type, singles information is not included. This data is only available when selecting one solve. In the future, I may add time, moves, and TPS information for BULK exports, but it seems largely unnecessary.
BLD Completion Status: The BLD completion status is simplified. It shows True if the solve is completed and successful, and False if either condition is not met. Intermediate stages are not represented.
Overlap Handling: Overlapping cases with multiple solve types selected alongside Singles have been (likely) fixed. The system should show correct total time and other stats. For example, selecting both 3x3 relay and 3x3 singles will display 4 singles and 1 relay, but only 4 solves in total, excluding the single done within the relay. This prevents overlapping, which is the correct behavior. However, this has not been extensively tested, and confusing results may still occur. Please report any such issues.
Update Algorithm: The update algorithm is not optimized for handling very large amounts of solves. It is primarily designed for single sessions or short-term stats (e.g., a week). Future optimizations may include retaining previous update data and fetching only new results on each update. While updating DB requests for regular updates may be straightforward, updating all processing steps, tables, and stats is more complex and may be considered in the distant future if needed.
Presets for Extra Singles: Presets are not generated for extra singles when singles are loaded as Main to avoid clutter. However, you can still find them in the "Puzzle" checkboxes list.
Selecting "ALL" Categories: Adding a feature to select "ALL" categories in each list is not difficult, but it seems to have limited use. An "ALL" preset has been added to get total stats and all solves, though it may be laggy.
Default DB Path: To change the default path to the database, edit the config file. The app will try to connect to the default "" path and will prompt for a new path if it fails.
Stats Window Color Coding: In the stats window, red indicates some of the selected solves are unfinished or skipped, while green means all selected solves are complete. This logic may be tweaked in the future.
Please report any issues or suggestions to improve the functionality and user experience.
Selected from shared topics, language and repository description—not editorial ratings.
nccgroup /
A runtime mobile application analysis toolkit with a Web GUI, powered by Frida, written in Python.
rajeshmajumdar /
BruteXSS is a tool written in python simply to find XSS vulnerabilities in web application. This tool was originally developed by Shawar Khan in CLI. I just redesigned it and made it GUI for more convienience.
hkdb /
A GTK+ GUI Application written in Python that simplifies compressing PDF files with Ghostscript
sanusanth /
What is Python? Executive Summary Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective. What is Python? Python is a popular programming language. It was created by Guido van Rossum, and released in 1991. It is used for: web development (server-side), software development, mathematics, system scripting. What can Python do? Python can be used on a server to create web applications. Python can be used alongside software to create workflows. Python can connect to database systems. It can also read and modify files. Python can be used to handle big data and perform complex mathematics. Python can be used for rapid prototyping, or for production-ready software development. Why Python? Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc). Python has a simple syntax similar to the English language. Python has syntax that allows developers to write programs with fewer lines than some other programming languages. Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick. Python can be treated in a procedural way, an object-oriented way or a functional way. Good to know The most recent major version of Python is Python 3, which we shall be using in this tutorial. However, Python 2, although not being updated with anything other than security updates, is still quite popular. In this tutorial Python will be written in a text editor. It is possible to write Python in an Integrated Development Environment, such as Thonny, Pycharm, Netbeans or Eclipse which are particularly useful when managing larger collections of Python files. Python Syntax compared to other programming languages Python was designed for readability, and has some similarities to the English language with influence from mathematics. Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses. Python relies on indentation, using whitespace, to define scope; such as the scope of loops, functions and classes. Other programming languages often use curly-brackets for this purpose. Applications for Python Python is used in many application domains. Here's a sampling. The Python Package Index lists thousands of third party modules for Python. Web and Internet Development Python offers many choices for web development: Frameworks such as Django and Pyramid. Micro-frameworks such as Flask and Bottle. Advanced content management systems such as Plone and django CMS. Python's standard library supports many Internet protocols: HTML and XML JSON E-mail processing. Support for FTP, IMAP, and other Internet protocols. Easy-to-use socket interface. And the Package Index has yet more libraries: Requests, a powerful HTTP client library. Beautiful Soup, an HTML parser that can handle all sorts of oddball HTML. Feedparser for parsing RSS/Atom feeds. Paramiko, implementing the SSH2 protocol. Twisted Python, a framework for asynchronous network programming. Scientific and Numeric Python is widely used in scientific and numeric computing: SciPy is a collection of packages for mathematics, science, and engineering. Pandas is a data analysis and modeling library. IPython is a powerful interactive shell that features easy editing and recording of a work session, and supports visualizations and parallel computing. The Software Carpentry Course teaches basic skills for scientific computing, running bootcamps and providing open-access teaching materials. Education Python is a superb language for teaching programming, both at the introductory level and in more advanced courses. Books such as How to Think Like a Computer Scientist, Python Programming: An Introduction to Computer Science, and Practical Programming. The Education Special Interest Group is a good place to discuss teaching issues. Desktop GUIs The Tk GUI library is included with most binary distributions of Python. Some toolkits that are usable on several platforms are available separately: wxWidgets Kivy, for writing multitouch applications. Qt via pyqt or pyside Platform-specific toolkits are also available: GTK+ Microsoft Foundation Classes through the win32 extensions Software Development Python is often used as a support language for software developers, for build control and management, testing, and in many other ways. SCons for build control. Buildbot and Apache Gump for automated continuous compilation and testing. Roundup or Trac for bug tracking and project management. Business Applications Python is also used to build ERP and e-commerce systems: Odoo is an all-in-one management software that offers a range of business applications that form a complete suite of enterprise management applications. Try ton is a three-tier high-level general purpose application platform.
SarthakJariwala /
GLabViz - Interactive Analysis and Visualization Application for Scientific Data written in Python using Qt and pyqtrgaph
lissettecarlr /
基于streamlit编写的针对openai接口的各类模型对话web应用，目前支持基本对话、文生图、图片理解、assistants（Web application for various models' dialogue based on the OpenAI API, written in Streamlit,assistants）