Calculate metrics from the logs of your activity tracker
https://leo-vander-meulen.medium.com/calculate-metrics-from-the-logs-of-your-activity-tracker-4e84437c3b3b
https://leo-vander-meulen.medium.com/calculate-metrics-from-the-logs-of-your-activity-tracker-4e84437c3b3b
Medium
Calculate metrics from the logs of your activity tracker
Calculate distance, speed and elevation gain from the logs of your activity tracker
The Life of a Programmer: The Good, The Bad, And The Ugly
https://medium.com/@aminemk/the-life-of-a-programmer-the-good-the-bad-and-the-ugly-a6d425ae6ed7
https://medium.com/@aminemk/the-life-of-a-programmer-the-good-the-bad-and-the-ugly-a6d425ae6ed7
Medium
The Life of a Programmer: The Good, The Bad, And The Ugly
This article will cover the life of a programmer. We’ll talk about what it takes to become a programmer; the good, the bad, and the ugly.
How to Upload and Download Blobs from Azure Blob Storage Using Python
https://medium.com/@cndro/how-to-upload-and-download-blobs-from-azure-blob-storage-using-python-6e5306aa7089
https://medium.com/@cndro/how-to-upload-and-download-blobs-from-azure-blob-storage-using-python-6e5306aa7089
Medium
How to Upload and Download Blobs from Azure Blob Storage Using Python
Azure blob storage is a Microsoft feature that allows users to store a large amount of data on Microsoft’s data storage platforms.
Encrypting your files using a USB stick as the key (Python)
https://medium.com/@tomaclarke16/encrypting-your-files-using-a-usb-stick-as-the-key-python-e04b26657357
https://medium.com/@tomaclarke16/encrypting-your-files-using-a-usb-stick-as-the-key-python-e04b26657357
Medium
Encrypting your files using a USB stick as the key (Python)
Cyber security is an increasingly important aspect to our digital lives, and people really underestimate how easily their information can…
How to run Spyder with anaconda on macOS
https://pallawi-ds.medium.com/how-to-run-spyder-with-anaconda-on-macos-7744ee60d3b9
https://pallawi-ds.medium.com/how-to-run-spyder-with-anaconda-on-macos-7744ee60d3b9
Medium
How to run Spyder with anaconda on macOS
Introduction
Sieve Of Eratosthenes: One of the Oldest Algorithms still Prevalent as if it were Born Yesterday
https://pateljaival05.medium.com/sieve-of-eratosthenes-one-of-the-oldest-algorithms-still-prevalent-as-if-it-were-born-yesterday-c3e854df5dc6
https://pateljaival05.medium.com/sieve-of-eratosthenes-one-of-the-oldest-algorithms-still-prevalent-as-if-it-were-born-yesterday-c3e854df5dc6
Medium
Sieve Of Eratosthenes: One of the Oldest Algorithms still Prevalent as if it were Born Yesterday
The Sieve of Eratosthenes is one of the oldest algorithms known to humans. But despite it’s age, why is still prevalent in today’s world?
Working with Complex Data in Apache Spark Made Simple
https://medium.com/@james.s.hocking/working-with-complex-data-in-apache-spark-made-simple-d791841646a
https://medium.com/@james.s.hocking/working-with-complex-data-in-apache-spark-made-simple-d791841646a
Medium
Working with Complex Data in Apache Spark Made Simple
A Python Function to Collapse Any Complex Data Type into a Dataframe of Individual Columns
Python Ranks #1 in IEEE “Top Programming Languages”
https://spectrum.ieee.org/top-programming-languages-2021
https://spectrum.ieee.org/top-programming-languages-2021
IEEE Spectrum
Top Programming Languages 2021
Python dominates as the de facto platform for new technologies
skybison: Instagram’s Experimental Performance Oriented Greenfield Implementation of Python
https://github.com/facebookexperimental/skybison
https://github.com/facebookexperimental/skybison
GitHub
GitHub - facebookexperimental/skybison: Instagram's experimental performance oriented greenfield implementation of Python.
Instagram's experimental performance oriented greenfield implementation of Python. - GitHub - facebookexperimental/skybison: Instagram's experimental performance oriented greenfield...
How to Use Optional Arguments When Defining Python Functions
https://realpython.com/python-optional-arguments/
https://realpython.com/python-optional-arguments/
Realpython
Using Python Optional Arguments When Defining Functions – Real Python
Learn to use Python's optional arguments to handle variable inputs. Build flexible functions and avoid common errors when setting defaults.
Humble Software Bundle: Python Superpowers 2021
https://www.humblebundle.com/software/python-2021-software
https://www.humblebundle.com/software/python-2021-software
Humble Bundle
Humble Software Bundle: Python 2021
Master Python with software like Mastering PyCharm (2021 Edition) & Object-Oriented Programming (OOP) in Python. Pay what you want & support charity!
Python 3.9.7 and 3.8.12 Are Now Available
https://pythoninsider.blogspot.com/2021/08/python-397-and-3812-are-now-available.html
https://pythoninsider.blogspot.com/2021/08/python-397-and-3812-are-now-available.html
Blogspot
Python Insider: Python 3.9.7 and 3.8.12 are now available
math.sqrt vs numpy.sqrt vs x ** 0.5 Performance Discussion
https://twitter.com/karpathy/status/1430316576016793600
https://twitter.com/karpathy/status/1430316576016793600
Twitter
Andrej Karpathy
TIL 😳😵💫😱. This single line change sped up our data loader 10%
A Python Data Scientist’s Guide to the Apple Silicon Transition
https://www.anaconda.com/blog/apple-silicon-transition
https://www.anaconda.com/blog/apple-silicon-transition
Anaconda
A Python Data Scientist’s Guide to the Apple Silicon Transition | Anaconda
Even if you are not a Mac user, you have likely heard Apple is switching from Intel CPUs to their own custom CPUs, which they refer to collectively as “Apple Silicon.” The last time Apple changed its computer architecture this dramatically was 15 years ago…
Splitting Datasets With scikit-learn and train_test_split()
https://realpython.com/courses/splitting-datasets-scikit-learn-train-test-split/
https://realpython.com/courses/splitting-datasets-scikit-learn-train-test-split/
Realpython
Splitting Datasets With scikit-learn and train_test_split() – Real Python
In this course, you'll learn why it's important to split your dataset in supervised machine learning and how to do that with train_test_split() from scikit-learn.