PyInstaller VS Pandas
Compare PyInstaller VS Pandas and see what are their differences
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featured
PyInstaller
cx_Freeze
nuitka
Inno Setup
PyPy
Numba
py2exe
Cython
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
PyInstaller PandasBased on our record, Pandas should be more popular than PyInstaller. It has been mentiond 199 times since March 2021. 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.
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
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
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
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
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
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / 5 days ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 23 days ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 17 days ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
cx_Freeze - cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...
NumPy - NumPy is the fundamental package for scientific computing with Python
nuitka - Nuitka is a Python compiler.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Inno Setup - Inno Setup is a free installer for Windows programs.
OpenCV - OpenCV is the world's biggest computer vision library