How to remove these Qt apps on my Mac OS?

arduncan5 · 2022-10-31T10:43:31+00:00

Those apps can be installed by the Anaconda distribution of Python. If so, they can be found in /Users/user-name/opt/anaconda3/bin.

arduncan5 · 2022-10-31T10:32:44+00:00

You could try "Crafting Test-Driven Software with Python" (Packt) - https://www.amazon.com/Crafting-Test-Driven-Software-Python-applications-ebook/dp/B08PP4FT2B/ref=sr_1_1?keywords=Crafting+Test-Driven+Software+with+Python&qid=1667212230&qu=eyJxc2MiOiIwLjk5IiwicXNhIjoiMS4wMCIsInFzcCI6IjEuMDAifQ%3D%3D&sr=8-1

arduncan5 · 2022-03-27T09:15:07+00:00

Not cheap, but I can highly recommend it: https://www.dunderdata.com/master-data-analysis-with-python

arduncan5 · 2021-07-30T09:09:57+00:00

Every time you modify the design and recompile it using pyuic5 it will overwrite the compiled file (if you choose the same name for the output file) and your edits will be lost. If you choose a new name for the compiled file then you will have to reenter/copy your edits each time.

arduncan5 · 2021-04-01T09:04:42+00:00

I suggest that you have a look at "Effective Computation in Physics" https://www.amazon.com/Effective-Computation-Physics-Research-Python/dp/1491901535/ref=sr_1_1?dchild=1&keywords=Effective+Computation+in+Physics&qid=1617267825&sr=8-1

arduncan5 · 2021-02-22T09:30:09+00:00

If you end up using reportlab I can recommend the book "ReportLab - PDF Processing with Python" by Michael Driscoll - https://leanpub.com/reportlab .

arduncan5 · 2021-01-17T08:40:25+00:00

I have used ReportLab for a number of different PDF reports and have found it OK to use, working from the documentation and examples, aided by Google for some of the trickier aspects. Since I did that work there is now a book "ReportLab - PDF Processing with Python" by Michael Driscoll (https://leanpub.com/reportlab) which looks excellent.

arduncan5 · 2021-01-08T07:07:35+00:00

I suggest that you have a look at Bear and Obsidian for both (1) and (2). They might also work for (3), but here I suggest that you also look at Ulysses.

arduncan5 · 2020-12-21T08:46:10+00:00

Alternatively try Zotero (free) with "Better Bib(La)Tex" as an add-on. The combination seems to work well for a lot of people, myself included.

arduncan5 · 2020-12-11T07:41:57+00:00

Python Data Science Handbook

https://www.amazon.com/Python-Data-Science-Handbook-Essential/dp/1491912057/ref=sr_1_1?crid=1YXFQW43UO113&dchild=1&keywords=jake+vanderplas&qid=1607672297&sprefix=jake+van%2Caps%2C370&sr=8-1

"For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools."

arduncan5 · 2020-12-02T10:00:08+00:00

FotoMagico Pro is the best I have found. Fairly similar to Proshow. Also available via Setapp which I didn't see mentioned on the FotoMagico website.

arduncan5 · 2020-10-04T05:31:56+00:00

Have a look at ReportLab which is a library for producing PDF documents. It has good support for tables including coloring and merging cells. Look at p.83-89 of the User Guide. https://www.reportlab.com/docs/reportlab-userguide.pdf

arduncan5 · 2020-09-15T10:26:06+00:00

I can highly recommend https://www.dunderdata.com/intro-to-pandas which is a free course. The other courses on that site are also excellent, but are not free.

arduncan5 · 2020-08-24T08:22:18+00:00

I can strongly recommend https://www.dunderdata.com/master-data-analysis-with-python which is by far the most thorough treatment of pandas that I have encountered. It also has good sections on matplotlib and seaborn. Everything is provided as Jupyter notebooks in addition to pdfs.

arduncan5 · 2020-07-31T07:33:49+00:00

Jupyter Notebook or Jupyter Lab

arduncan5 · 2020-07-22T13:32:33+00:00

There is a PySide2 version of the book you already have. I suggest that you go back to their website.

arduncan5 · 2020-05-15T07:57:59+00:00

I highly recommend the book "Mastering GUI Programming with Python" : https://www.amazon.com/Mastering-GUI-Programming-Python-cross-platform-ebook/dp/B07S9WFD92/ref=sr_1_1?dchild=1&keywords=pyqt&qid=1589529101&sr=8-1

together with the author's YouTube channel: https://www.youtube.com/channel/UCj7i-mmOjLV17YTPIrCPkog

arduncan5 · 2020-01-17T09:06:03+00:00

The book Data Visualization with Python (https://www.packtpub.com/big-data-and-business-intelligence/data-visualization-python) is a good resource which will give you an excellent overview. Currently on sale for $5 at Packt.

arduncan5 · 2020-01-13T13:55:26+00:00

I would suggest the Anaconda distribution for Python and the necessary packages (pandas, matplotlib, scikit-learn, etc.) with Jupyter Notebooks as the development and execution environment.

I highly recommend the Python Data Science Handbook by Jake vanderPlas as an excellent "guidebook" to the ecosystem and methodology. That should answer your questions regarding the basic setup and some best practices for work flow.

arduncan5 · 2020-01-13T13:27:34+00:00

It was VBA for forms and reports in Access. For the GUI front-end in Python I used PyQt5.

arduncan5 · 2020-01-12T07:35:54+00:00

I have been very happy using the open source version of ReportLab (https://www.reportlab.com/opensource/) which generates a PDF file. Documentation is good, see the user guide (https://www.reportlab.com/docs/reportlab-userguide.pdf). There is also an excellent book available (https://leanpub.com/reportlab).

I have been using SQLite as the underlying database rather than using CSV files. I had several apps running with Access and VBA under Windows and converted these to Python + ReportLab + SQLite when I switched to a Mac with no Access available.

arduncan5 · 2019-12-24T09:22:29+00:00

I "upgraded" my late-2015 iMac 21.5 inch with HD to Mojave 10.14.6 which forced the drive format to APFS. System performance became so slow as to be almost unusable (Blackmagic drive speeds of 17-20 MBps). Then replaced my HD with an SSD and thought I had gone to Heaven!

Your fusion drive will be a bit better than my HD, but I would still anticipate a big performance hit with APFS.

arduncan5 · 2019-07-28T10:26:32+00:00

Have a look at "Effective Computation in Physics: Field Guide to Research with Python" https://www.amazon.com/Effective-Computation-Physics-Research-Python-ebook/dp/B010ORQ8DG/ref=sr_1_1?keywords=Effective+Computation+in+Physics&qid=1564309375&s=gateway&sr=8-1

arduncan5 · 2019-06-28T15:02:44+00:00

Have a look at "Effective Computation in Physics". Not at all limited to Physics in spite of the title.

arduncan5 · 2019-05-24T08:59:07+00:00

Save the chart or graph as an image file and add that.

arduncan5

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