Python3IDE 1.4

Python3IDE is a comprehensive offline Python3.7 integrated development environment software that offers a plethora of features and built-in scientific libraries. With its powerful capabilities, this software serves as an invaluable tool for learning and practicing Python.

Newly added is the integration of offline C/C++/PHP/Lua development environments, expanding the scope of programming languages available.

Built-in Libraries

• Turtle
• Numpy-1.18.0
• Pandas-0.25.3
• Scipy-1.4.1
• Scikit-learn-0.22.1
• Statsmodels-0.11.1
• Linearmodels-4.17
• Sympy-1.5
• Patsy-0.5.1
• Notebook-5.7.4
• Matplotlib-3.1.2
• Seaborn-0.10.0
• Plotly.py-4.8.1
• Bokeh-2.0.1
• Pyecharts-1.7.1
• Kivy-2.0.0
• Ipywidgets-7.4.2
• SDL2 and related modules (SDL2_image, SDL2_gfx, SDL2_mixer, SDL2_ttf)
• Pysdl2-0.9.8
• Pygame-2.0.1
• Pillow-7.0.0
• Scikit_image-0.16.2
• Imageio-2.8.0
• Networkx-2.4
• Opencv_python-4.2.0.32
• Pycurl-7.43.0.5
• Httpie-2.0.0
• Requests-2.22.0
• Flask-1.1.1
• Django-3.0.4
• Lxml-4.4.2
• Simplejson-3.17.0
• Tushare-1.2.48

Features

• Automatic association prompts, automatic indentation, and code highlighting.
• Ability to run scripts offline and locally with input support.
• Built-in common scientific computing library.
• Pip support for installing third-party libraries (including Python libraries).
• Jupyter Notebook support.
• Built-in ipynb file previewer for quick previews without launching the Jupyter Notebook service.
• Built-in file download management with background download capability, facilitating the retrieval of Python codes and learning libraries from the internet, such as GitHub.
• File upload, sharing, and download capabilities (via Jupyter Notebook service), with added support for iTunes document sharing.
• Built-in browser that allows direct access to Jupyter Notebook pages or other web pages.
• Support for multiple documents, enabling the opening of code editors, tutorial documents, interactive interpreters, and browsers in multiple tabs for simultaneous learning and coding.
• Python interactive interpreter for code input and execution.
• Diverse Python learning tutorials, covering topics such as Python, Numpy, Matplotlib, Pandas, Scipy, Sklearn, Data Analysis, Machine Learning, and Artificial Intelligence.

For further inquiries or feedback regarding the product, please contact us:

Email: mh0717@163.com