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Tagged “Data Science”
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Python Developer Tools & Tips: PyTest 7, Airflow & More
This episode of Python Bytes covers a wide range of practical tools for developers. The hosts explore the upcoming features in PyTest 7, such as better fixturing and floating-point comparison, and introduce Pandas Tutor as a visual aid for…
43m 06s -
Python Tools for Cloud Data, Wheels, and Science
This episode of Python Bytes highlights essential tools for developers working with large datasets and cloud infrastructure. The hosts explore Rclone for cross-cloud file synchronization, the XArray library for scientific data analysis, an…
42m 21s -
Python Insights: PyPI Changes, JIT Compilers & SQL Tools
In this episode, we dive into the latest updates in the Python ecosystem with guest Renee Teet. We explore the PyPI-changes tool for monitoring dependencies and discuss the controversial potential for late-bound function arguments in Pytho…
47m 24s -
Python Byte-Sized Innovation: Testing, Tooling, and Tech
In this episode, Michael Kennedy, Brian Okken, and guest Preyson Daniel dive into a collection of powerful tools that streamline the Python development lifecycle. The trio discusses the rise of Nox as a superior, Pythonic alternative to To…
41m 52s -
Python Data Exploration, MongoDB 5, and SQLite Scaling
In this episode, we dive into the latest developments in the Python data ecosystem. We discuss the powerful features in MongoDB 5.0, including time-series support and a modern CLI, alongside the highly anticipated enhanced error tracebacks…
42m 19s -
Python Development: Subclassing, AI Tools, and Data Libraries
In this episode, the hosts dive deep into software architecture, focusing on the nuances of composition versus inheritance in Python. They explore Klib for automated Pandas dataframe cleaning and Facebook's Cats library for advanced time s…
51m 58s -
Python Dev News: ORMAR, JupyterLite, Data Viz & More
In this episode, the hosts dive into a selection of powerful Python tools, focusing on streamlining database interactions with ORMAR and the MongoDB-compatible MontyDB. They explore the browser-based JupyterLite, which offers a robust data…
43m 09s -
Python Data Science, Tooling & Debugging Insights
This episode covers essential tools for modern Python developers, focusing heavily on data science and efficient workflow automation. The discussion explores the intersection of SQL and Pandas for data analysis, the use of FSSpec for cloud…
47m 07s -
Python Performance, Large-Scale GPUs, and ReadMe Tools
This episode of Python Bytes explores a wide spectrum of the Python landscape. We discuss readme.so for streamlined documentation, DateFinder for simplified date parsing, and the incredible hardware power of the Cerebras wafer-scale AI chi…
50m 58s -
Python Data Science, Testing, and Security Insights
In this episode of Python Bytes, the team and guest Hannah Stepnick dive into the current state of the Python data science ecosystem, revealing insights from 10 million Jupyter notebooks. The conversation covers the internal architecture o…
47m 27s -
Python Tooling: PDM, Copier, Pandarell, IceCream & HTMX
This episode covers essential tools for modern Python development. We discuss PDM and the potential of local dependency management under PEP 582. The discussion highlights Copier as a powerful alternative to Cookiecutter for managing proje…
39m 12s -
Python for Science, NumPy, Qt6, and GC Optimization
This episode of Python Bytes covers a wide range of topics starting with the role of Python in modern astrophysics. The discussion highlights how scientists utilize Python for image processing, model fitting, and complex cosmic simulations…
43m 25s -
Python Developer Trends: FastAPI, ASV, and Logic Testing
In this episode, Michael Kennedy and Brian Aukin, joined by physicist Matthew Feigert, dive into the latest tools shaping the Python ecosystem. They discuss the efficiency of the FARM stack (FastAPI, React, MongoDB) for web development, th…
44m 32s -
Python Data Science, Hardware, and Cloud Collaboration
In this episode, the hosts dive into a diverse range of technical topics, starting with an analysis of Kickstarter success using Python data science tools. The conversation transitions into GPU-accelerated machine learning on non-NVIDIA ha…
31m 08s -
Awkward Arrays, Jupyter LSP, and Python Tips
In this episode, we explore the powerful, newly updated Awkward Arrays library for handling messy, nested data, which now runs on a C++ core. We also delve into the JupyterLab LSP project, which brings essential IDE-like features—such as a…
34m 18s -
Python Concurrency, Data APIs, and Banana Optimization
This episode explores the landscape of Python concurrency through AnyIO, a library that brings structured concurrency to the ecosystem. The hosts also discuss an ambitious new initiative to standardize data APIs across the fractured Python…
36m 08s -
GitHub Readmes, HandCalcs, FastAPI, and Memory Optimization
In this episode, we dive into creative ways to enhance your GitHub profile using custom markdown and automation. We explore HandCalcs, an excellent tool for turning Python math into beautiful LaTeX documentation, perfect for engineers. We …
30m 29s -
Python Updates: Exceptions, DataPane, Pickle and Git Tips
Episode 189 of Python Bytes covers critical developer workflows and tools. The hosts discuss an improved way to handle exceptions using explicit causes to clarify complex tracebacks, alongside the risks and limitations of using Python's pi…
31m 57s -
Python Data Tools, Virtual Environments, and PyProjects
In this episode, Michael Kennedy and Brian Okken dive into essential Python tools and upcoming infrastructure changes. They spotlight Side Table for more efficient data exploration in Pandas and Tabulate for creating clean, professional-lo…
24m 51s -
Python Tools for Docs, Debugging, and Data Science
In this episode, Michael Kennedy and Brian Aukin explore several powerful tools for the Python ecosystem. They discuss Myst, a markdown parser for Sphinx that enables advanced documentation; direnv, for context-aware environment management…
24m 39s -
Python Developer Trends, Modern Best Practices & AI Music
Episode 182 of Python Bytes offers a detailed review of the 2019 Python Developers Survey, highlighting shifting industry trends like the prominence of data science, the decline of legacy Python 2, and the rise of containerization. The epi…
25m 52s -
Python Tools: Documentation, Data Viz, and Productivity
In this episode, we dive into essential tools for the modern Python ecosystem. We start with Interrogate, a powerful utility to enforce documentation standards by identifying missing docstrings, and discuss the underrated value of writing …
31m 02s -
Python Developer Tools: Formatting, Visualization, and Testing
In this episode, we dive into powerful tools for Python developers, focusing on simplifying datetime formatting with pystrftime.com and creating interactive graphs using pandas-bokeh. We explore the innovative NBDev framework, which bridge…
38m 18s -
Python Updates: Future Features, Packaging, and Tips
In this episode, the team engages in a thoughtful discussion about current events before diving into technical news. Key highlights include the exciting upcoming dictionary union operators in Python 3.9 and the implementation of a stricter…
32m 43s -
Data Visualization, Mobile Python, and Testing Tools
This episode of Python Bytes covers a variety of essential tools for the Python ecosystem. The hosts explore Detail for interactive data analysis, alongside Carnets, which brings full-featured Jupyter Notebooks to iPad and iPhone without n…
25m 44s
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