PyInstaller VS Scikit-learn

PyInstaller Reviews

Scikit-learn Reviews

PyInstaller mentions (30)

• Playable Sandbox Now Available

  Normally games made with pygame are not playable from the web. They can only be run from the command line or use PyInstaller or cx_Freeze to create a standalone executable. - Source: dev.to / 4 months ago

• Python GUIs

  I have found PyInstaller [1] to work well for packaging everything into a single ZIP file that unzips to a folder with an executable binary and all accompanying files (or even a single EXE file that self-extracts when run, but that increases startup time). It knows how to package PyQt and its associated Qt libraries (or PySide, which I actually prefer) so that they can be shipped with your application. [1... - Source: Hacker News / 11 months ago

• Advice on turning tcod python game into something I can share with others?

  PyInstaller is the main way to build a Python executable. I'd recommenced bundling your program in the default one-folder mode and uploading it to Itch. Source: about 1 year ago

• What's the best way to ship a Python script?

  There are tools, not from Python Software Foundation (or officially supported by them), such as Pyinstaller, that will try to produce a single executable file that you can distribute for people to install. Of course, this would depend on the controls on the end user devices allowing such an installation. There can be some compatibility challenges, but if you are using reasonably standard Python it shall probably... Source: about 1 year ago

• How can I deploy a Tkinter app + database?

  And to deploy your program you can use one of the programs that will compile your Python code in to an executable such as PyInstaller or Nuitka. Source: about 1 year ago

Scikit-learn mentions (28)

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 2 months ago

• Link Prediction With node2vec in Physics Collaboration Network

  Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: 12 months ago

• PSA: You don't need fancy stuff to do good work.

  Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago

• Help on using R for Machine Learning?

  Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago