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Tux Machines
Posted by Roy Schestowitz on Sep 13, 2023
> This year, Python doesn’t just remain No. 1 in our general “Spectrum” ranking—which is weighted to reflect the interests of the typical IEEE member—but it widens its lead. Python’s increased dominance appears to be largely at the expense of smaller, more specialized, languages. It has become the jack-of-all-trades language—and the master of some, such as AI, where powerful and extensive libraries make it ubiquitous. And although Moore’s Law is winding down for high-end computing, low-end microcontrollers are still benefiting from performance gains, which means there’s now enough computing power available on a US $0.70 CPU to make Python a contender in embedded development, despite the overhead of an interpreter. Python also looks to be solidifying its position for the long term: Many children and teens now program their first game or blink their first LED using Python. They can then move seamlessly into more advanced domains, and even get a job, with the same language.
> The “glob.glob()” method in Python is utilized to determine all the path names by taking the specified pattern and complete path as an argument.
> To display all the columns in Python, the “pandas.set_option()” function takes the “display.max_columns” option and its value as an argument.
> The “Fraction()” method of the “fractions” module, a custom function with the “gcd()” method, is used to simplify the specified fraction into the simplest form.
> In Python, the sha256 algorithm is implemented to strings, a list of strings, files, and Pandas DataFrame columns using the hashlib.sha256() constructor method.
> The “df.columns.values” or “df.keys().values.tolist()”, “pandas.set_option()” and “df.dtypes” method prints all columns names, values, and types of DataFrame.
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