Python GUIs: Using Layouts to Position Widgets in PyQt6 — Use layouts to effortlessly position widgets within the window (updated for PyQt6)
Link: https://www.pythonguis.com/tutorials/pyqt6-layouts/
So far we've successfully created a window, and we've added a widget to it. However we normally want to add more than one widget to a window, and have some control over where it ends up. To do this in
Link: https://www.pythonguis.com/tutorials/pyqt6-layouts/
So far we've successfully created a window, and we've added a widget to it. However we normally want to add more than one widget to a window, and have some control over where it ends up. To do this in
Python GUIs
PyQt6 Layouts - Using QVBoxLayout, QHBoxLayout, QGridLayout, QStackedLayout to Position Widgets
Layouts are the Qt approach to positioning widgets in your GUI applications. Widgets placed in layouts will be automatically arranged. Layouts can be nested to build complex user interfaces. So far we've successfully created a window and added a widget to…
Python GUIs: Create multiple windows in PySide6 — Opening new windows for your application (updated for PySide6)
Link: https://www.pythonguis.com/tutorials/pyside6-creating-multiple-windows/
In an earlier tutorial we've already covered how to open dialog windows. These are special windows which (by default) grab the focus of the user, and run their own event loop, effectively blocking the
Link: https://www.pythonguis.com/tutorials/pyside6-creating-multiple-windows/
In an earlier tutorial we've already covered how to open dialog windows. These are special windows which (by default) grab the focus of the user, and run their own event loop, effectively blocking the
Python GUIs
Create multiple windows in PySide6
In this tutorial, we'll step through how to create and open a new window, and how to show and hide external windows on demand. In an earlier tutorial, we've already covered how to open dialog windows.
Weekly Python StackOverflow Report: (ccciii) stackoverflow python report
Link: http://python-weekly.blogspot.com/2021/11/ccciii-stackoverflow-python-report.html
These are the ten most rated questions at Stack Overflow last week.Between brackets: [question score / answers count]Build date: 2021-11-27 16:50:46 GMTDoes NumPy array really take less memory than py
Link: http://python-weekly.blogspot.com/2021/11/ccciii-stackoverflow-python-report.html
These are the ten most rated questions at Stack Overflow last week.Between brackets: [question score / answers count]Build date: 2021-11-27 16:50:46 GMTDoes NumPy array really take less memory than py
Blogspot
(ccciii) stackoverflow python report
These are the ten most rated questions at Stack Overflow last week. Between brackets: [ question score / answers count] Build date: 2021...
Podcast.__init__: Making Orbital Mechanics More Accessible With Poliastro
Link: https://www.pythonpodcast.com/poliastro-python-orbital-mechanics-episode-342/
Outer space holds a deep fascination for people of all ages, and the key principle in its exploration both near and far is orbital mechanics. Poliastro is a pure Python package for exploring and simul
Link: https://www.pythonpodcast.com/poliastro-python-orbital-mechanics-episode-342/
Outer space holds a deep fascination for people of all ages, and the key principle in its exploration both near and far is orbital mechanics. Poliastro is a pure Python package for exploring and simul
The Python Podcast.__init__
The Python Podcast.__init__: Making Orbital Mechanics More Accessible With Poliastro
An interview about the Poliastro package for building and visualizing simulations of orbital mechanics problems in pure Python.
Stack Abuse: Graphs in Python: Breadth-First Search (BFS) Algorithm
Link: https://stackabuse.com/graphs-in-python-breadth-first-search-bfs-algorithm/
Introduction
Graphs are one of the most useful data structures. They can be used to model practically everything - object relations and networks being the most common ones. An image can be represented
Link: https://stackabuse.com/graphs-in-python-breadth-first-search-bfs-algorithm/
Introduction
Graphs are one of the most useful data structures. They can be used to model practically everything - object relations and networks being the most common ones. An image can be represented
Stack Abuse
Graphs in Python - Theory and Implementation
Graphs are an extremely versatile data structure. More so than most people realize! Graphs can be used to model practically anything, given their nature of mode...
Mike Driscoll: PyDev of the Week: Pradyun Gedam
Link: https://www.blog.pythonlibrary.org/2021/11/29/pydev-of-the-week-pradyun-gedam/
This week we welcome Pradyun Gedam (@pradyunsg) as our PyDev of the Week! Pradyun works on pip, Python Packaging Index (PyPI), the Python Packaging Authority (PyPA), Sphinx, TOML and more! Pradyun blo
Link: https://www.blog.pythonlibrary.org/2021/11/29/pydev-of-the-week-pradyun-gedam/
This week we welcome Pradyun Gedam (@pradyunsg) as our PyDev of the Week! Pradyun works on pip, Python Packaging Index (PyPI), the Python Packaging Authority (PyPA), Sphinx, TOML and more! Pradyun blo
Mouse Vs Python
PyDev of the Week: Pradyun Gedam - Mouse Vs Python
Pradyun Gedam is our PyDev of the Week. Pradyun works on Sphinx, the Python Packaging Authority and many other Python-related projects!
Python⇒Speed: Is it worth the money? When to buy products for your job
Link: https://pythonspeed.com/articles/programmers-buying-guide/
You’ve discovered a product that might help you with your job: perhaps a book that will teach you a new and relevant skill, or software that will speed up development.
Since you do want to write softw
Link: https://pythonspeed.com/articles/programmers-buying-guide/
You’ve discovered a product that might help you with your job: perhaps a book that will teach you a new and relevant skill, or software that will speed up development.
Since you do want to write softw
Python⇒Speed
Buying products for your job: estimating value, convincing your boss
When is it worth the money to buy a product that will help you with your job? Learn how to decide, and how to convince your boss to approve the purchase.
Łukasz Langa: Weekly Report, November 22 - 28
Link: https://lukasz.langa.pl/6d439b86-3834-481a-b95c-ac9c6956545b/
This was a week where I tried something new. Instead of cutting through tens of shallow PRs, I focused deeply on a single one. I installed Irit Katriel’s GH-29581 to try out PEP 654’s new except* and
Link: https://lukasz.langa.pl/6d439b86-3834-481a-b95c-ac9c6956545b/
This was a week where I tried something new. Instead of cutting through tens of shallow PRs, I focused deeply on a single one. I installed Irit Katriel’s GH-29581 to try out PEP 654’s new except* and
lukasz.langa.pl
Weekly Report, November 22 - 28 - Łukasz Langa
This was a week where I tried something new. Instead of cutting through tens of shallow PRs, I focused deeply on a single one. I installed Irit Katriel’s GH-29581 to try out PEP 654’s new except* and ExceptionGroup objects.
TestDriven.io: Dynamic Secret Generation with Vault and Flask
Link: https://testdriven.io/blog/dynamic-secret-generation-with-vault-and-flask/
In this tutorial, we'll look at a real-world example of using Hashicorp's Vault and Consul to create dynamic Postgres credentials for a Flask web app.
Link: https://testdriven.io/blog/dynamic-secret-generation-with-vault-and-flask/
In this tutorial, we'll look at a real-world example of using Hashicorp's Vault and Consul to create dynamic Postgres credentials for a Flask web app.
testdriven.io
Dynamic Secret Generation with Vault and Flask
In this tutorial, we'll look at a real-world example of using Hashicorp's Vault and Consul to create dynamic Postgres credentials for a Flask web app.
TestDriven.io: Reproducible Builds with Bazel
Link: https://testdriven.io/blog/bazel-builds/
This article looks at how Bazel can be used to create reproducible, hermetic builds.
Link: https://testdriven.io/blog/bazel-builds/
This article looks at how Bazel can be used to create reproducible, hermetic builds.
testdriven.io
Reproducible Builds with Bazel
This article looks at how Bazel can be used to create reproducible, hermetic builds.
Matthew Wright: Financial market data analysis with pandas
Link: https://www.wrighters.io/financial-market-data-analysis-with-pandas/
Pandas is a great tool for time series analysis of financial market data. Because pandas DataFrames and Series work well with a date/time based index, they can be used effectively to analyze historica
Link: https://www.wrighters.io/financial-market-data-analysis-with-pandas/
Pandas is a great tool for time series analysis of financial market data. Because pandas DataFrames and Series work well with a date/time based index, they can be used effectively to analyze historica
wrighters.io
Financial market data analysis with pandas - wrighters.io
Pandas is a great tool to use for analysis of time series financial market data. We can use it to validate, visualize, and analyze data.
Test and Code: 172: Designing Better Software with a Prototype Mindset
Link: https://testandcode.com/172
A prototype is a a preliminary model of something, from which other forms are developed or copied.
In software, we think of prototypes as early things, or a proof of concept.
We don't often think of p
Link: https://testandcode.com/172
A prototype is a a preliminary model of something, from which other forms are developed or copied.
In software, we think of prototypes as early things, or a proof of concept.
We don't often think of p
Test & Code in Python
Test & Code in Python 172: Designing Better Software with a Prototype Mindset
A prototype is a a preliminary model of something, from which other forms are developed or copied.
This episode is about growing better designed software with the help of a prototype mindset.
This episode is about growing better designed software with the help of a prototype mindset.
Real Python: Data Visualization Interfaces in Python With Dash
Link: https://realpython.com/courses/data-viz-with-dash/
In the past, creating analytical web applications was a task for seasoned developers that required knowledge of multiple programming languages and frameworks. That’s no longer the case. Nowadays, you
Link: https://realpython.com/courses/data-viz-with-dash/
In the past, creating analytical web applications was a task for seasoned developers that required knowledge of multiple programming languages and frameworks. That’s no longer the case. Nowadays, you
Realpython
Data Visualization Interfaces in Python With Dash – Real Python
In this course, you'll learn how to build a dashboard using Python and Dash. Dash is a framework for building data visualization interfaces. It helps data scientists build fully interactive web applications quickly.
PyCharm: Last day to buy PyCharm and Support Python!
Link: https://blog.jetbrains.com/pycharm/2021/11/support-python-2021/
You still have 1 day to purchase your PyCharm Pro license at 30% off and have the full amount of your purchase donated directly to the PSF!
Buy PyCharm and Support Python
PyCharm joins the Python Sof
Link: https://blog.jetbrains.com/pycharm/2021/11/support-python-2021/
You still have 1 day to purchase your PyCharm Pro license at 30% off and have the full amount of your purchase donated directly to the PSF!
Buy PyCharm and Support Python
PyCharm joins the Python Sof
JetBrains Blog
Last day to buy PyCharm and Support Python! | The PyCharm Blog
You still have 1 day to purchase your PyCharm Pro license at 30% off and have the full amount of your purchase donated directly to the PSF!
Buy PyCharm and Support Python
PyCharm joins the Python Soft
Buy PyCharm and Support Python
PyCharm joins the Python Soft
ItsMyCode: ValueError: too many values to unpack (expected 2)
Link: https://itsmycode.com/valueerror-too-many-values-to-unpack-expected-2/
ItsMyCode |
If you get ValueError: too many values to unpack (expected 2), it means that you are trying to access too many values from an iterator. Value Error is a standard exception that can occur i
Link: https://itsmycode.com/valueerror-too-many-values-to-unpack-expected-2/
ItsMyCode |
If you get ValueError: too many values to unpack (expected 2), it means that you are trying to access too many values from an iterator. Value Error is a standard exception that can occur i
ItsMyCode
ValueError: too many values to unpack (expected 2) - ItsMyCode
If you get ValueError: too many values to unpack (expected 2), it means that you are trying to access too many values from an iterator.
Python for Beginners: Shortest Path Length from a Vertex to other Vertices in a Graph
Link: https://www.pythonforbeginners.com/data-structures/shortest-path-length-from-a-vertex-to-other-vertices-in-a-graph
Graphs are used to represent geographical maps, computer networks, etc. In this article, we will discuss how to calculate the shortest distance between vertices in an unweighted graph. To calculate th
Link: https://www.pythonforbeginners.com/data-structures/shortest-path-length-from-a-vertex-to-other-vertices-in-a-graph
Graphs are used to represent geographical maps, computer networks, etc. In this article, we will discuss how to calculate the shortest distance between vertices in an unweighted graph. To calculate th
PythonForBeginners.com
Shortest Path Length from a Vertex to other Vertices in a Graph - PythonForBeginners.com
Shortest Path Length from a Vertex to other Vertices in a Graph will help you improve your python skills with easy to follow examples.
Ching-Hwa Yu: How to Create a Python Plugin System with Stevedore
Link: https://chinghwayu.com/2021/11/how-to-create-a-python-plugin-system-with-stevedore/
Photo by Kieran Wood on Unsplash
One of the questions that I see and hear often is how to extend applications using a Python plugin system. For a test engineer, this is usually related to hardware abs
Link: https://chinghwayu.com/2021/11/how-to-create-a-python-plugin-system-with-stevedore/
Photo by Kieran Wood on Unsplash
One of the questions that I see and hear often is how to extend applications using a Python plugin system. For a test engineer, this is usually related to hardware abs
Ching-Hwa Yu
How to Create a Python Plugin System with Stevedore
Photo by Kieran Wood on Unsplash One of the questions that I see and hear often is how to extend applications using a Python plugin system. For a test engineer, this is usually related to hardware …
STX Next: Python Outsourcing: A Short Guide for CTOs and Technical Managers
Link: https://www.stxnext.com/blog/python-outsourcing-guide/
If we could distill Python’s main advantage over other programming languages into just one word, it would be: “simplicity.”
Link: https://www.stxnext.com/blog/python-outsourcing-guide/
If we could distill Python’s main advantage over other programming languages into just one word, it would be: “simplicity.”
Stxnext
Python Outsourcing: A Short Guide for CTOs and Technical Managers
Looking to outsource your Python development? Follow our Python outsourcing guide and find out all you need to know about Python development outsourcing.
PyCoder’s Weekly: Issue #501 (Nov. 30, 2021)
Link: https://pycoders.com/issues/501
#501 – NOVEMBER 30, 2021 View in Browser » Late-Bound Argument Defaults for Python Python supports default values for arguments to functions, but those defaults are evaluated at function-definit
Link: https://pycoders.com/issues/501
#501 – NOVEMBER 30, 2021 View in Browser » Late-Bound Argument Defaults for Python Python supports default values for arguments to functions, but those defaults are evaluated at function-definit
Pycoders
PyCoder’s Weekly | Issue #501
Issue #501 of the PyCoder’s Weekly newsletter, published Nov. 30, 2021.
Talk Python to Me: #343: Do Excel things, get notebook Python code with Mito
Link: https://talkpython.fm/episodes/show/343/do-excel-things-get-notebook-python-code-with-mito
Here's a question: What's the most common way to explore data? Would you say pandas and matplotlib? Maybe you went more general and said Jupyter notebooks. How about Excel, or Google Sheets, or Number
Link: https://talkpython.fm/episodes/show/343/do-excel-things-get-notebook-python-code-with-mito
Here's a question: What's the most common way to explore data? Would you say pandas and matplotlib? Maybe you went more general and said Jupyter notebooks. How about Excel, or Google Sheets, or Number
talkpython.fm
Do Excel things, get notebook Python code with Mito
Here's a question: What's the most common way to explore data? Would you say pandas and matplotlib? Maybe you went more general and said Jupyter notebooks. How about Excel, or Google Sheets, or Numbers, or some other spreadsheet app? Yeah, my bet is on Excel.…