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 in the show: The Invent Framework PyScript pdb++ – A drop-in replacement for pdb pypy – The fast, compliant, alternative Python implementation HPy – A better C API for Python SPy – Static Python The post 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 files with Python using the pyarrow package. Let’s learn how that works now! Installing pyarrow The first step is to make sure you have everything you need. In addition to the Python programming language, you will also need pyarrow and the pandas package. You will use pandas ..read more

In this episode, we invite the founder of Buttondown, a Python-based Software as a Service (SaaS) application for creating and managing newsletters. Mike Driscoll, the host of the show, chats with Justin about the following topics: Why he created a SaaS with Python Favorite Python packages or modules Python web frameworks Entrepreneurship AI and programming and more! The post The Python Show Podcast Ep 39 – Buttondown – A Python SaaS with Justin Duke appeared first on Mouse Vs Python ..read more

Matplotlib is one of the most popular data visualization packages for the Python programming language. It allows you to create many different charts and graphs. This tutorial focuses on adding a “watermark” to your graph. If you need to learn the basics, you might want to check out Matplotlib—An Intro to Creating Graphs with Python. Let’s get started! Installing Matplotlib If you don’t have Matplotlib on your computer, you must install it. Fortunately, you can use pip, the Python package manager utility that comes with Python. Open up your terminal or command prompt and run the following comma ..read more

What does every new developer do when they are first learning to program? They print out strings to their terminal. It’s how we learn! But printing out to the terminal isn’t what you do with most professional applications. Support on Kickstarter  In those cases, you log into files. Sometimes, you log into multiple locations at once. These logs may serve as an audit trail for compliance purposes or help the engineers debug what went wrong. Python Logging teaches you how to log in the Python programming language. Python is one of the most popular programming languages in the world. Python ..read more

Anaconda has announced a new partnership with Teradata to bring Python and R packages to Teradata VantageCloud through the Anaconda Repository. But what does that mean? This new partnership allows engineers to: Rapidly deploy and operationalize AI/ML developed using open-source Python and R packages. Unlock innovation and the full potential of data at scale with a wide variety of Python and R functionality on VantageCloud Lake. Flexibly use packages and versions of their choice for large-scale data science, AI/ML and generative AI use-cases. Securely work with Python/R models into Vantag ..read more

Python 3.13 adds the ability to remove the Global Interpreter Lock (GIL) per PEP 703. Just this past week, a PR was merged in that allows the disabling of the GIL using a command line flag or an environment variable in free-threaded builds. Note that Python must be built using the Py_GIL_DISABLED flag for this to work. What is the GIL? The Global Interpreter Lock makes threading easier in Python and prevents race conditions. It also makes running multiple threads per CPU core impossible. However, you can use the multiprocessing module to at least give you the ability to better utilize the core ..read more

I recently put my Python 101 Video Course up on Udemy and TutorialsPoint. There are one thousand free copies of the course available on Udemy by using the following link: https://www.udemy.com/course/python-101-c/?couponCode=A9CBEA3F6A1790FA40FF If you prefer TutorialsPoint, you can get a free copy here: https://www.tutorialspoint.com/python-101-with-mike-driscoll/index.asp Use coupon code: py101 The Python 101 video course is also available on TeachMePython and my Gumroad store. I am slowly adding quizzes to the Udemy version of the course and plan to add the same or similar quizzes on T ..read more

There’s a new Python package installer out now and it’s called uv. The uv package installer and resolver is made by Astral. Uv is written in Rust instead of Python and is super fast! Astral is best known for Python’s fastest formatter, Ruff. The uv package is meant to be a drop-in replacement for pip and pip-tools. According to Astral, “uv is 8-10x faster than pip and pip-tools without caching, and 80-115x faster when running with a warm cache (e.g., recreating a virtual environment or updating a dependency)”. Astral is also taking over the developm ..read more

In Automating Excel with Python: Processing Spreadsheets with OpenPyXL, you will learn how to use Python to create, edit, or read Microsoft Excel documents using OpenPyXL. This course is based on the book, Automating Excel with Python by Michael Driscoll. Python is a versatile programming language. You can use Python to read, write and edit Microsoft Excel documents. You can use several Python packages, but this course will focus on OpenPyXL. The OpenPyXL package allows you to work with Microsoft Excel files on Windows, Mac, and Linux, even if Excel isn’t installed. In this course, you will le ..read more