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[September 2024] Python Monthly Newsletter | Zero To Mastery

Python 3.13 is expected to introduce significant changes, emphasizing the importance of understanding the GIL.
The Template Method design pattern helps in defining a sequence of operations with flexibility for implementation.
Modern libraries like HTTPX and AIOHTTP are crucial for asynchronous programming in Python.

Plotting made easy with hvPlot: 0.11 release - HoloViz Blog

hvPlot allows users to create interactive visualizations using familiar APIs, enhancing data exploration without requiring a new learning curve.
The latest release enhances functionality with integrations and improved features.

PyCoder's Weekly | Issue #626

Handling CTRL-C interrupts elegantly in Python can be complex when dealing with concurrent code.

Java Code Change Impact Analysis - Introduction to JCCI

Analyzing the impact scope of Java code submissions can improve regression testing efficiency.

Python Deep Learning: PyTorch vs Tensorflow - Real Python

Both PyTorch and TensorFlow are open source Python libraries used for numerical computation on data.
There are differences in functionality, tools, and resources between PyTorch and TensorFlow, which should be considered based on specific use cases.
#python

PyCoder's Weekly | Issue #619

Duck typing allows flexibility in Python classes based on object behaviors.
IPython Jupyter Magic commands modify cell behavior in notebooks.

Cool for you: Python Polars swims through dataframes

Embrace Python's new features like type hinting and pattern matching for modern code writing.

PyCoder's Weekly | Issue #619

Duck typing allows flexibility in Python classes based on object behaviors.
IPython Jupyter Magic commands modify cell behavior in notebooks.

Cool for you: Python Polars swims through dataframes

Embrace Python's new features like type hinting and pattern matching for modern code writing.
morepython

Episode #192: Practical Python Decorator Uses & Avoiding datetime Pitfalls - The Real Python Podcast

Python decorators can be used to extend the behavior of a function without modifying it explicitly
Python libraries use decorators for call interception, function registration, and enriching function behavior
#Python libraries

BlackCat plays dirty with malvertising mouse traps

Affiliates of the ALPHV/BlackCat ransomware-as-a-service operation are using malvertising campaigns to infect victims' systems.
Nitrogen malware is being used as an initial access payload to launch second-stage attacks, including the deployment of ransomware.
Using Python libraries allows attackers to hide in an organization's normal traffic patterns and delay detection of malicious activity.

The best Python libraries for parallel processing

Python's default implementation, CPython, is single-threaded, limiting its speed.
Threading in Python only provides concurrency, not parallelism.
Python libraries like Ray, Dask, and Dispy enable parallel processing across multiple cores and machines.

BlackCat plays dirty with malvertising mouse traps

Affiliates of the ALPHV/BlackCat ransomware-as-a-service operation are using malvertising campaigns to infect victims' systems.
Nitrogen malware is being used as an initial access payload to launch second-stage attacks, including the deployment of ransomware.
Using Python libraries allows attackers to hide in an organization's normal traffic patterns and delay detection of malicious activity.

The best Python libraries for parallel processing

Python's default implementation, CPython, is single-threaded, limiting its speed.
Threading in Python only provides concurrency, not parallelism.
Python libraries like Ray, Dask, and Dispy enable parallel processing across multiple cores and machines.
morePython libraries

WildlifeDatasets: an Open-source Toolkit for Animal Re-identification: the WildlifeDatasets Toolkit | HackerNoon

The WildlifeDatasets toolkit simplifies wildlife re-identification by centralizing scattered datasets and standardizing evaluation methods for multiple species.

Episode #208: Detecting Outliers in Your Data With Python - The Real Python Podcast

Outlier detection is crucial in various industries like finance, security, and fraud, with Python libraries such as scikit-learn aiding in the process.
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