Python3IDE vs Carnets

Python3IDE is an offline Python3.7 integrated development environment software with built-in common scientific libraries. It is a powerful helper for you to learn and practice Python. New: add offline C/C++/PHP/Lua integrated development environment. 【Built-in module】 -tkinter -turtle Scientific computing, data analysis and machine learning library -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 Visualization library -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 UI library -kivy-2.0.0 -ipywidgets-7.4.2 Game library -SDL2 -SDL2_image -SDL2_gfx -SDL2_mixer -SDL2_ttf -pysdl2-0.9.8 -pygame-2.0.1 Image processing library -Pillow-7.0.0 -scikit_image-0.16.2 -imageio-2.8.0 -networkx-2.4 -opencv_python-4.2.0.32 Network library -pycurl-7.43.0.5 -httpie-2.0.0 -requests-2.22.0 -flask-1.1.1 -django-3.0.4 Other libraries -lxml-4.4.2 -simplejson-3.17.0 -tushare-1.2.48 【Features】 -Automatic association prompts, automatic indentation, and code highlighting. -Run scripts offline and locally, support input -Built-in common scientific computing library -Support Pip to install third-party libraries (line Python libraries) -Support Jupyter NoteBook -Built-in ipynb file previewer, so you can preview quickly without starting Jupyter Notebook service -Built-in file download management, support background download, you can download many python codes and learning libraries on the Internet at any time, such as github, etc. -Support file upload, share, download, etc. (via Jupyter Notebook service), support itunes to share documents -Built-in browser, you can open Jupyter Notebook page directly in this App, or open other web pages -Support multiple documents, you can open code editors, tutorial documents, interactive interpreters, browsers, etc. in multiple tabs, so that you can read the documents and learn while writing code -Support Python interactive interpreter, allowing you to enter code while executing -Built-in many Python learning tutorials, including python, numpy, matplotlib, pandas, scipy, sklearn, data analysis, machine learning, artificial intelligence, etc. "Auto Subscription Member Instructions" 1. Service name: consecutive year 2. If you purchase an account of an automatic subscription member, your iTunes account will be deducted 24 hours before the expiration of the monthly subscription period. After the deduction is successful, the subscription period will be extended. 3. If you need to cancel the subscription, please manually open the Apple phone "Settings" --> enter "iTunes Store and App Store" --> click "Apple ID", select "View Apple ID", enter the "Account Settings" page, click "Subscribe", select Himalaya VIP membership service to cancel the subscription. If you do not close the subscription at least 24 hours before the end of the subscription period, you will be deemed to agree to continue to authorize, and the subscription will be automatically renewed. "Automatic Subscription Service Agreement" https://www.jianshu.com/p/47341a0a9466 "User Agreement" https://www.jianshu.com/p/8ee503e0ae6f "User Privacy Agreement" https://www.jianshu.com/p/8ee503e0ae6f — Contact and feedback — If you have any questions or suggestions about the product, please contact us Email: python3ide@aliyun.com

Jupyter notebooks are a powerful tool used in education and research. You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, using Markdown. Carnets provides a complete, stand-alone, implementation of Jupyter notebooks. Everything runs on your device, using the embedded Python interpreter; you do not need an internet connection. You can chose between Jupyter notebooks and the more advance Jupyterlab using Settings. Numpy, Sympy, Matplotlib, Pandas, lxml, bokeh, nbextensions (including ipywidgets) and many other packages are pre-installed. To see the full list of installed packages, type "%pip list" in a code window. You can add more packages using "%pip install packageName", but only if they are pure Python. If you need scipy, seaborn or scikit-learn, please use our other App, "Carnets - Jupyter (with scipy)". You can share your notebooks with other apps and also open notebooks or directories managed by other apps. Partial list of installed packages: astropy, babel, bokeh, cryptography, cvxopt, Fiona, geopandas, geopy, lxml, matplotlib, numpy, openCV, pandas, pillow, pyFFTW, pyproj, rasterio, regex, shapely, sympy, wordcloud.