Travis Oliphant: SciPy, NumPy, and Fostering Scientific Python

Travis Oliphant: SciPy, NumPy, and Fostering Scientific Python

What went into developing the open-source Python tools data scientists use every day? This week on the show, we talk with Travis Oliphant about his work on SciPy, NumPy, Numba, and many other contributions to the Python scientific community.

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Natural Language Processing and How ML Models Understand Text

Natural Language Processing and How ML Models Understand Text

How do you process and classify text documents in Python? What are the fundamental techniques and building blocks for Natural Language Processing (NLP)? This week on the show, Jodie Burchell, developer advocate for data science at JetBrains, talks about how machine learning (ML) models understand text.

29 Heinä 202258min

Creating Documentation With MkDocs & When to Use a Python dict

Creating Documentation With MkDocs & When to Use a Python dict

How do you start building your project documentation? What if you had a tool that could do the heavy lifting and automatically write large portions directly from your code? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.

22 Heinä 202254min

Measuring Python Code Quality, Simplicity, and Maintainability

Measuring Python Code Quality, Simplicity, and Maintainability

How maintainable is your Python code? Is it possible to hold the code for your functions in your head? When is it appropriate to use measurements in a code review? This week on the show, Reka Horvath and Ben Martineau from Sourcery are here to discuss their recent PyCon talk, "Actionable insights vs ranking: How to use and how NOT to use code quality metrics."

15 Heinä 20221h 6min

Exploring Functional Programming in Python With Bruce Eckel

Exploring Functional Programming in Python With Bruce Eckel

Would you like to explore the functional programming side of Python? What are the advantages of this approach, and what tools are built into the language? This week on the show, author Bruce Eckel talks about functional programming in Python.

1 Heinä 20221h 14min

Digging Into PyScript & Preventing or Handling Python Errors

Digging Into PyScript & Preventing or Handling Python Errors

Have you heard about PyScript? The brand-new framework has the community excited about building interactive Python applications that run entirely within the user's browser. Would you like to dig into the details beyond the "Hello World" examples? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.

24 Kesä 202256min

Getting Started in Python Cybersecurity and Forensics

Getting Started in Python Cybersecurity and Forensics

Are you interested in a career in security using Python? Would you like to stay ahead of potential vulnerabilities in your Python applications? This week on the show, James Pleger talks about Python information security, incident response, and forensics.

17 Kesä 20221h 1min

Build Streamlit Data Science Dashboards & Verbose Regex f-Strings

Build Streamlit Data Science Dashboards & Verbose Regex f-Strings

Would you like a fast way to share your data science project results as an interactive dashboard instead of a Jupyter notebook? Streamlit is a library for creating simple web apps and dashboards using just Python. This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.

10 Kesä 202250min

Managing Large Python Data Science Projects With Dask

Managing Large Python Data Science Projects With Dask

What do you do when your data science project doesn't fit within your computer's memory? One solution is to distribute it across multiple worker machines. This week on the show, Guido Imperiale from Coiled talks about Dask and managing large data science projects through distributed computing.

3 Kesä 202246min