The Textual package is a great way to create GUI-like applications with Python in your terminal. These are known as text-based user interfaces or TUIs. Textual has many different widgets built-in to the framework. One of those widgets is the ProgressBar. If you need to show the progress of a download or long-running process, then […]
Creating Progress Bars in Your Terminal with Python and Textual Read More »
Have you ever needed a progress bar in your Python command-line application? One great way of creating a progress bar is to use the alive-progress package created by Rogério Sampaio de Almeida! Alive progress provides multiple different types of progress bars in your terminal or IPython REPL session. The alive progress package will work with
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Have you ever wanted to show a pandas DataFrame in your terminal? Of course, you have! All you need is the textual-pandas package! Yes, you can also view a pandas DataFrame in a REPL, such as IPython or Jupyter Notebook, but you can write a TUI application with textual-pandas and use that to display pandas
Displaying Pandas DataFrames in the Terminal Read More »
ObjectListView is a third-party wxPython widget that wraps the wx.ListCtrl. I have used it for over 10 years in quite a few different GUI applications because it works much nicer than wx.ListCtrl does. Unfortunately, ObjectListView was never integrated into wxPython core like some other amazing third-party packages were, and so it has become broken over
ANN: ObjectListView3 for wxPython Read More »
A newer Python package called Rich Pixels allows you to create images in your terminal and display them. Darren Burns, one of the team members from the Textual project, created this package. Anyway, let’s find out how to use Rich Pixels! Installation You can install Rich Pixels using Python’s pip utility. Here’s how: python -m pip install rich-pixels Once
Creating Images in Your Terminal with Python and Rich Pixels Read More »
Do you have a Python package that you’d like to share with the world? You should publish it on the Python Package Index (PyPI). The vast majority of Python packages are published there. The PyPI team has also created extensive documentation to help you on your packaging journey. This article does not aim to replace
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The latest Python book from Michael Driscoll is now out. You can get Python Logging today on any of your favorite platforms! The Kindle version of the book is only 99 cents for a limited time! What does every new developer do when they are first learning to program? They print out strings to their
Python Logging Book Released! Read More »
This episode focuses on the Harlequin application, a Python SQL IDE for your terminal written using the amazing Textual package. I was honored to have Ted Conbeer, the creator of Harlequin, on the show to discuss his creation and the other things he does with Python. Specifically, we focused on the following topics: Favorite Python packages Origins
Episode 42 – Harlequin – The SQL IDE for Your Terminal Read More »
In this episode, I chatted with Armin Ronacher about his many amazing Python packages, such as pygments, flask, Jinja, Rye, and Click! Specifically, we talked about the following: How Flask came about Favorite Python packages Python packaging and much more! Links Sentry Rye Flask pygments Jinja Click uv
Episode 41 – Python Packaging and FOSS with Armin Ronacher Read More »
Python’s logging module isn’t the only way to create logs. There are several third-party packages you can use, too. One of the most popular is Loguru. Loguru intends to remove all the boilerplate you get with the Python logging API. You will find that Loguru greatly simplifies creating logs in Python. This chapter has the following sections: Installation
An Intro to Logging with Python and Loguru Read More »
The Matplotlib package is great for visualizing data. One of its many features is the ability to annotate points on your graph. You can use annotations to explain why a particular data point is significant or interesting. If you haven’t used Matplotlib before, you should check out my introductory article, Matplotlib – An Intro to
How to Annotate a Graph with Matplotlib and Python Read More »
I’m a little late in reporting on this topic, but Ruff put out an update in April 2024 that includes a hand-written recursive descent parser. This update is in version 0.4.0 and newer. Ruff’s new parser is >2x faster, translating to a 20-40% speedup for all linting and formatting invocations. Ruff’s announcement includes some statistics
Ruff – The Fastest Python Linter and Formatter Just Got Faster! Read More »
My latest Python book campaign is ending in less than a week. This book is about Python’s logging module. I also include two chapters that discuss structlog and loguru. Support on Kickstarter Why Back A Kickstarter? The reason to back the Kickstarter is that I have exclusive perks there that you cannot get outside of
One Week Left for Python Logging Book / Course Kickstarter Read More »
In this episode, we discuss working on several different open-source Python packages. Antonio Cuni is our guest, and he chats about his work on PyScript, pdb++, pypy, HPy, and SPy. Listen in as we chat about Python, packages, open source, and so much more! Show Links Here are some of the projects we talked about
Episode 40 – Open Source Development with Antonio Cuni Read More »
Apache Parquet files are a popular columnar storage format used by data scientists and anyone using the Hadoop ecosystem. It was developed to be very efficient in terms of compression and encoding. Check out their documentation if you want to know all the details about how Parquet files work. You can read and write Parquet
How to Read and Write Parquet Files with Python Read More »