Weekend Reading: Python

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Python is easy to use, powerful, versatile and a Linux Journal reader favorite. We've round up some of the most popular recent Python-related articles for your weekend reading.

  • Introducing PyInstaller by Reuven M. Lerner: Want to distribute Python programs to your Python-less clients? PyInstaller is the answer.

  • Examining Data Using Pandas by Reuven M. Lerner: You don't need to be a data scientist to use Pandas for some basic analysis.

  • Multiprocessing in Python by Reuven M. Lerner: Python's "multiprocessing" module feels like threads, but actually launches processes.

  • Launching External Processes in Python by Reuven M. Lerner: Think it's complex to connect your Python program to the UNIX shell? Think again!

  • Thinking Concurrently: How Modern Network Applications Handle Multiple Connections by Reuven M. Lerner: exploring different types of multiprocessing and looks at the advantages and disadvantages of each.

  • Threading in Python by Reuven M. Lerner: threads can provide concurrency, even if they're not truly parallel.

  • Using Python for Science by Joey Bernard: introducing Anaconda, a Python distribution for scientific research.

  • Visualizing Molecules with Python by Joey Bernard: introducing PyMOL, a Python package for studying chemical structures.

  • Novelty and Outlier Detection by Reuven M. Lerner: we look at a number of ways you can try to identify outliers using the tools and libraries that Python provides for working with data: NumPy, Pandas and scikit-learn.

  • Learning Data Science by Reuven M. Lerner: I've written a lot about data science and machine learning. In case my enthusiasm wasn't obvious from my writing, let me say it plainly: it has been a long time since I last encountered a technology that was so poised to revolutionize the world in which we live.