Mainly for the (cross-platform) Python GUI frontend options.
CEF (Chromium Embedded Framework). Pro: can use the same way of MVC thinking (modern html5); build-in chromium browser. Con: someone said it may need a little c++. PyQt (v5). Pro: big community, good doc (for c++). Con: c++ way of thinking, just the language is py (the official GUI tutorial lacks GUI screenshots!); pay for commercial usage; still often needs c++. Tkinter. Pro: build-in w/ py, big community.
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As the pyhon-docx does not want to provide a documentation (except some APIs) and the API doc web is really hard to browse and read, here are some small tips/demo tutorials to remember/avoid pits and falls.
Please note:
lib (0.8) provides only basic functions mainly for adding something (seems to be for test purpose). The main actions we do in a docx file should be done using MS API via this lib.
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Two methods of downloading & converting pictures/images to a combined pdf file with parallel (multi-thread) from Mark Needham.
f.write(img2pdf.convert(…)) [ref MarkHNeedham]
from PIL import Image [ref DataToFish]
Note: fpdf is not suggested as it canNOT support jpg natively. [ref stackoverflow]
Books & Docs
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Seaborn tutorial & gallary OReilly 2017 - [easy to find common examples] Python Data Science Handbook Packt 2015 - [nice code grammar] Python Data Visualization Cookbook, 2nd Ed. (Igor Milovanovic) Packt 2015 - [rich & various content] Mastering Python Data Visualization Packt 2015 - [advanced nice plots & deployments] Mastering matplotlib (D.M. McGreggor) [Very bad composition] Packt 2018 - Matplotlib for Python Developers - 2nd Ed (by Allen Yu, Claire Chung) Overview of Libs
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Python Data Visualisation Landscape
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See also:
LearnPython, the Language Pandas
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Get column_nr in pandas/numpy.
if isinstance(X, pd.DataFrame): X_is_df = True row_nr = X.shape[0] column_nr = X.shape[1] if isinstance(X.columns, pd.core.index.MultiIndex): df_columns_is_multi_index = True else: df_columns_is_multi_index = False else: # non-DF X_is_df = False row_nr = np.shape(X)[0] column_nr = np.shape(X)[1] use dataframe directly against spark
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lib Optimus
from optimus import Optimus op = Optimus(master="local") df = op.create.df(<some data>) ... Sourcing/Importing
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execfile or os.system
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execute the other python file in place:
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execfile or os.system
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execute the other python file in place:
execfile("/path/to/my/lib/mylib.py") or:
import os os.system("python /path/to/my/lib/mylib.py") import
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import sys import os sys.path.append(os.path.abspath("/path/to/my/lib")) import mylib ref
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See other methods here.
A great 5-video tutorial: 35minutes on YouTube (6 tomatoes / 2.5 hours for non-stop studing by coding). Author’s Github (py2), My Github (py3).
Differences in my Github code:
py3, not py2 using on_put() to test validity of input json from client using on_delete() to test params (just to test, should NOT be used in real-world) using another route /test2?x=1&y=3 to test params Usage in Nix:
pip3 install falcon gunicorn gunicorn app:api # in the folder of app.
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Related:
/jupyter /Learn-Django /python-gui: desktop GUI/frontend /py-cookbook : code reuse /pyvis: plot in py Python in Win by MS official tutorial CN 用 Rust 让 numpy、scikit 和 pandas 加速 100 倍！开源 Weld 技术揭秘 学 Python ，开头几件事： 熟悉基础语法 + 使用虚拟环境。 之后，考虑：1. 基于 uv 使用 AI-IDE； 2. Linux。
Basic Py Grammar 基础语法
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基础教程： 菜鸟教程 runoob.com (提示：此网页中的“高级教程”是指基础教程的高级部分), 如果不是专业软件开发人员，只是做科研实验，可以先学基础的基础，即学到“编程第一步”，“编程第一步”之后的内容用 1 小时过一遍备查即可。
重要：对于基础的基础示例代码，一定要跟着一个字母一个字母敲（做到自己完全能写出来一段，熟悉这些基础函数的调用方法和常用参数），绝对不要直接复制粘贴。
以下是虚拟环境管理器（UV）和基于虚拟环境管理器安装其他版本的 Py
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PRE-INSTALL: UV, CONDA VS. PIP
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Pip requires apt.
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(updated 2021.1)
Related:
Learn Python
Ref: This is a combined learning note of:
basic level sentdex’s youtube tutorial 2016, the corresponding video+text one is here. official tutorial which is still too complicated for new users, so better to use that after following this blog. middle level another tutorial: Django Tutorials for Beginners 2016 book “O’Reilly 2014 - Test-Driven Development with Python (django 1.7)”. official docs: DOCs.DjangoProject.com. all-in-one 3.8-hour video. Python Django Web Framework - Full Course for Beginners 2018 w/ Code (in sublime).
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INSTALL
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Anaconda Way
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This is suggested for very new users to use a stable environment.
It is NOT suitable for normal users / experienced programmers / engineers.
for windows
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Download Python 3 from Anaconda and install.
From Windows “Start” menu, run “Jupyter” directly. (jupyter since anacodna v5.3.1)
For old anacodna versions, run from navigator as below: anaconda for linux
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In CLI, see here.
Or, in GUI, similar to windows.
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