Iterator vs Generator¶
Generator is a special case of Iterator.
Generator is easy and convenient to use but at additional cost (memory and speed).
If you need performance, use plain iterator (with the help of the itertools module).
If you need convenience and concise code, use generator.
Please refer to Python Generator vs Iterator for more detailed discussions.
Install Python Packages Using pip
PyPi Statistics
You can check download statistics of Python Packages on PYPI at https://pypistats.org/. This is especially helpful if you want to choose from multiple packages.
Prefer pip
pip
is preferred over OS tools
(e.g., apt-get, yum, wajig, aptitude, etc.) for managing Python packages.
If you are …
Format Date and Time in Python
Date/Time Format¶
Please refer to https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes for a complete list of formats.
Time to String¶
The set Collection in Python
General Tips and Traps¶
The set class is implemented based on hash table which means that its elements must be hashable (has methods
__hash__and__eq__). The set class implements the mathematical concepts of set which means that its elements are unordered and does not perserve insertion order of elements. Notice that this is different from the dict class which is also implemented based on hash table but keeps insertion order of elements! The article Why don't Python sets preserve insertion order?
Useful Visual Studio Code Extensions
Places to Find Extensoins
Visual Studio Code Marketplace and Open VSX Registry are 2 places to find VSCode compatible extensions.
Install VSCode Extensions from Command-line
https://stackoverflow.com/questions/34286515/how-to-install-visual-studio-code-extensions-from-command-line/34339780#34339780
Install Code-Server Extensions from Command-line
If you install extension in Dockerfile using root,
the extensions are installed …
Tips on conda-pack
It is suggested that you use python-build-standlone instead of conda-pack to build portable Python environments. Please refer to Packaging Python Dependencies for PySpark Using Python-Build-Standalone for more details.
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All packages in a virtual environment must be managed by conda (rather than pip) so that it can be packe using conda-pack …