Ben Cook: How the NumPy append operation works
Link: https://sparrow.dev/numpy-append/
Anyone familiar with Python will know about the list append method:
a = [1, 2, 3]
a.append(4)
print(a)
# Expected result
# [1, 2, 3, 4]
But what if you want to append to a NumPy array? In that case,
Link: https://sparrow.dev/numpy-append/
Anyone familiar with Python will know about the list append method:
a = [1, 2, 3]
a.append(4)
print(a)
# Expected result
# [1, 2, 3, 4]
But what if you want to append to a NumPy array? In that case,
Sparrow Computing
How the NumPy append operation works - Sparrow Computing
Understanding the np.append() operation and when you might want to use it.
Ben Cook: NumPy Where: Understanding np.where()
Link: https://sparrow.dev/numpy-where/
The NumPy where() function is like a vectorized switch that you can use to combine two arrays. For example, let’s say you have an array with some data called and you want to create a new array with 1
Link: https://sparrow.dev/numpy-where/
The NumPy where() function is like a vectorized switch that you can use to combine two arrays. For example, let’s say you have an array with some data called and you want to create a new array with 1
Sparrow Computing
NumPy Where: Understanding np.where() - Sparrow Computing
The NumPy where function is like a vectorized switch that you can use to combine two arrays.
Ben Cook: Basic Counting in Python
Link: https://sparrow.dev/counting-in-python/
I love fancy machine learning algorithms as much as anyone. But sometimes, you just need to count things. And Python’s built-in data structures make this really easy. Let’s say we have a list of strin
Link: https://sparrow.dev/counting-in-python/
I love fancy machine learning algorithms as much as anyone. But sometimes, you just need to count things. And Python’s built-in data structures make this really easy. Let’s say we have a list of strin
Sparrow Computing
Basic Counting in Python - Sparrow Computing
I love fancy machine learning algorithms as much as anyone. But sometimes, you just need to count things. And Python’s built-in data structures make this really easy. Let’s say we have a list of strings: With a list like this, you might care about a few different…
Python⇒Speed: Pip vs Conda: an in-depth comparison of Python's two packaging systems
Link: https://pythonspeed.com/articles/conda-vs-pip/
If you’re using Python in the world of data science or scientific computing, you will soon discover that Python has two different packaging systems: pip and Conda.
Which raises some questions:
How ar
Link: https://pythonspeed.com/articles/conda-vs-pip/
If you’re using Python in the world of data science or scientific computing, you will soon discover that Python has two different packaging systems: pip and Conda.
Which raises some questions:
How ar
Python⇒Speed
Pip vs Conda: an in-depth comparison of Python’s two packaging systems
Python has two packaging systems, pip and Conda. Learn the differences between them so you can pick the right one for you.
Montreal Python User Group: Python 3.10 Translation Sprint
Link: https://montrealpython.org/en/2021/10/py310-i18n-sprint/
Python 3.10 just got released! The official documentation of this incredible version is 52% translated to French. This is a very good start, but we want to do better.
From October 25 to November 25,
Link: https://montrealpython.org/en/2021/10/py310-i18n-sprint/
Python 3.10 just got released! The official documentation of this incredible version is 52% translated to French. This is a very good start, but we want to do better.
From October 25 to November 25,
Podcast.__init__: An Exploration Of Financial Exchange Risk Management Strategies
Link: https://www.pythonpodcast.com/fx-risk-management-strategies-episode-33/
The world of finance has driven the development of many sophisticated techniques for data analysis. In this episode Paul Stafford shares his experiences working in the realm of risk management for fin
Link: https://www.pythonpodcast.com/fx-risk-management-strategies-episode-33/
The world of finance has driven the development of many sophisticated techniques for data analysis. In this episode Paul Stafford shares his experiences working in the realm of risk management for fin
The Python Podcast.__init__
The Python Podcast.__init__: An Exploration Of Financial Exchange Risk Management Strategies
An interview with Paul Stafford about his experiences using computational methods to build risk management strategies for financial exchange markets.
Ben Cook: PyTorch DataLoader Quick Start
Link: https://sparrow.dev/pytorch-dataloader/
PyTorch comes with powerful data loading capabilities out of the box. But with great power comes great responsibility and that makes data loading in PyTorch a fairly advanced topic.
One of the best wa
Link: https://sparrow.dev/pytorch-dataloader/
PyTorch comes with powerful data loading capabilities out of the box. But with great power comes great responsibility and that makes data loading in PyTorch a fairly advanced topic.
One of the best wa
Sparrow Computing
PyTorch DataLoader Quick Start - Sparrow Computing
PyTorch comes with powerful data loading capabilities out of the box. But with great power comes great responsibility and that makes data loading in PyTorch a fairly advanced topic. One of the best ways to learn advanced topics is to start with the happy…
Weekly Python StackOverflow Report: (ccxcvii) stackoverflow python report
Link: http://python-weekly.blogspot.com/2021/10/ccxcvii-stackoverflow-python-report.html
These are the ten most rated questions at Stack Overflow last week.Between brackets: [question score / answers count]Build date: 2021-10-17 06:58:09 GMTWhy is there a difference between `0--3//2` and
Link: http://python-weekly.blogspot.com/2021/10/ccxcvii-stackoverflow-python-report.html
These are the ten most rated questions at Stack Overflow last week.Between brackets: [question score / answers count]Build date: 2021-10-17 06:58:09 GMTWhy is there a difference between `0--3//2` and
Blogspot
(ccxcvii) stackoverflow python report
These are the ten most rated questions at Stack Overflow last week. Between brackets: [ question score / answers count] Build date: 2021...
PyPy: PyPy v7.3.6: release of python 2.7, 3.7, and 3.8
Link: https://www.pypy.org/posts/2021/10/pypy-v736-release.html
PyPy v7.3.6: release of python 2.7, 3.7, and 3.8-beta
The PyPy team is proud to release version 7.3.6 of PyPy, which includes
three different interpreters:
PyPy2.7, which is an interpreter supportin
Link: https://www.pypy.org/posts/2021/10/pypy-v736-release.html
PyPy v7.3.6: release of python 2.7, 3.7, and 3.8-beta
The PyPy team is proud to release version 7.3.6 of PyPy, which includes
three different interpreters:
PyPy2.7, which is an interpreter supportin
PyPy
PyPy v7.3.6: release of python 2.7, 3.7, and 3.8
PyPy v7.3.6: release of python 2.7, 3.7, and 3.8-beta
The PyPy team is proud to release version 7.3.6 of PyPy, which includes
three different interpreters:
PyPy2.7, which is an interpreter supportin
The PyPy team is proud to release version 7.3.6 of PyPy, which includes
three different interpreters:
PyPy2.7, which is an interpreter supportin
Talk Python to Me: #338: Using cibuildwheel to manage the scikit-HEP packages
Link: https://talkpython.fm/episodes/show/338/using-cibuildwheel-to-manage-the-scikit-hep-packages
How do you build and maintain a complex suite of Python packages? Of course, you want to put them on PyPI. The best format there is as a wheel. This means that when developers use your code, it comes
Link: https://talkpython.fm/episodes/show/338/using-cibuildwheel-to-manage-the-scikit-hep-packages
How do you build and maintain a complex suite of Python packages? Of course, you want to put them on PyPI. The best format there is as a wheel. This means that when developers use your code, it comes
talkpython.fm
Using cibuildwheel to manage the scikit-HEP packages
How do you build and maintain a complex suite of Python packages? Of course, you want to put them on PyPI. The best format there is as a wheel. This means that when developers use your code, it comes straight down and requires no local tooling to install…
Mike Driscoll: PyDev of the Week: Talley Lambert
Link: https://www.blog.pythonlibrary.org/2021/10/18/pydev-of-the-week-talley-lambert/
This week we chatted with Talley Lambert (@TalleyJLambert) who is a microscopist and Python enthusiast at Harvard Medical School. You can learn more about what Talley is up to and see his publications
Link: https://www.blog.pythonlibrary.org/2021/10/18/pydev-of-the-week-talley-lambert/
This week we chatted with Talley Lambert (@TalleyJLambert) who is a microscopist and Python enthusiast at Harvard Medical School. You can learn more about what Talley is up to and see his publications
Mouse Vs Python
PyDev of the Week: Talley Lambert - Mouse Vs Python
This week we chatted with Talley Lambert (@TalleyJLambert) who is a microscopist and Python enthusiast at Harvard Medical School. You can learn more about
Inspired Python: Python Pattern Matching Examples: ETL and Dataclasses
Link: https://www.inspiredpython.com/course/pattern-matching/python-pattern-matching-examples-etl-and-dataclasses?r=rss
Python Pattern Matching Examples: ETL and Dataclasses
In I walked you through the theory of Structural Pattern Matching, so now it’s time to apply that knowledge and build something practical.
Let’s
Link: https://www.inspiredpython.com/course/pattern-matching/python-pattern-matching-examples-etl-and-dataclasses?r=rss
Python Pattern Matching Examples: ETL and Dataclasses
In I walked you through the theory of Structural Pattern Matching, so now it’s time to apply that knowledge and build something practical.
Let’s
Inspiredpython
Python Pattern Matching Examples: ETL and Dataclasses
Python’s new Structural Pattern Matching is useful in a wide range of roles, including ETL and data processing. Learn how to combine it with JSON, REST APIs and Python’s dataclasses.
Codementor: How Python Became the #1 Programming Language and How You Can Make the Best of It
Link: https://www.codementor.io/anananet/how-python-became-the-1-programming-language-and-how-you-can-make-the-best-of-it-1mq0upy2jj
Python is now more popular than Java, C, and other programming languages. Here are my tips on how to make the best of Python.
Link: https://www.codementor.io/anananet/how-python-became-the-1-programming-language-and-how-you-can-make-the-best-of-it-1mq0upy2jj
Python is now more popular than Java, C, and other programming languages. Here are my tips on how to make the best of Python.
www.codementor.io
How Python Became the #1 Programming Language and How You Can Make the Best of It | Codementor
Python is now more popular than Java, C, and other programming languages. Here are my tips on how to make the best of Python.
Real Python: A Roadmap to XML Parsers in Python
Link: https://realpython.com/python-xml-parser/
If you’ve ever tried to parse an XML document in Python before, then you know how surprisingly difficult such a task can be. On the one hand, the Zen of Python promises only one obvious way to achieve
Link: https://realpython.com/python-xml-parser/
If you’ve ever tried to parse an XML document in Python before, then you know how surprisingly difficult such a task can be. On the one hand, the Zen of Python promises only one obvious way to achieve
Realpython
A Roadmap to XML Parsers in Python – Real Python
In this tutorial, you'll learn what XML parsers are available in Python and how to pick the right parsing model for your specific use case. You'll explore Python's built-in parsers as well as major third-party libraries.
Python Morsels: Creating and writing to a file in Python
Link: https://www.pythonmorsels.com/topics/creating-and-writing-file-python/
Transcript
Let's write to a text file.
Files can be read from (but not written to) by default
Here we're using the open function on a text file called my_file.txt (using a with block to automatical
Link: https://www.pythonmorsels.com/topics/creating-and-writing-file-python/
Transcript
Let's write to a text file.
Files can be read from (but not written to) by default
Here we're using the open function on a text file called my_file.txt (using a with block to automatical
Pythonmorsels
Creating and writing to a file in Python
Python Software Foundation: Join the Python Developers Survey 2021: Share and learn about the community
Link: http://feedproxy.google.com/~r/PythonSoftwareFoundationNews/~3/M9jMg4myXFk/join-python-developers-survey-2021.html
This year we are conducting the fifth iteration of the official Python Developers Survey. The goal is to capture the current state of the language and the ecosystem around it. By comparing the results
Link: http://feedproxy.google.com/~r/PythonSoftwareFoundationNews/~3/M9jMg4myXFk/join-python-developers-survey-2021.html
This year we are conducting the fifth iteration of the official Python Developers Survey. The goal is to capture the current state of the language and the ecosystem around it. By comparing the results
Blogspot
Join the Python Developers Survey 2021: Share and learn about the community
This year we are conducting the fifth iteration of the official Python Developers Survey . The goal is to capture the current state of the l...
PyCharm: Webinar: “Smarter FastAPI Through Tooling” with Sebastián Ramírez
Link: http://feedproxy.google.com/~r/Pycharm/~3/UNEN6iZM9Gs/
FastAPI has quickly become super-popular. One of the reasons: embracing standards which help tooling, which then boost productivity. This is something FastAPI’s author, Sebastián Ramírez, really cares
Link: http://feedproxy.google.com/~r/Pycharm/~3/UNEN6iZM9Gs/
FastAPI has quickly become super-popular. One of the reasons: embracing standards which help tooling, which then boost productivity. This is something FastAPI’s author, Sebastián Ramírez, really cares
JetBrains Blog
Webinar: “Smarter FastAPI Through Tooling” with Sebastián Ramírez | The PyCharm Blog
FastAPI has quickly become super-popular. One of the reasons: embracing standards which help tooling, which then boost productivity. This is something FastAPI’s author, Sebastián Ramírez, really cares
Łukasz Langa: Where does all the effort go? Looking at Python core developer activity
Link: https://lukasz.langa.pl/f15a8851-af26-4e94-a4b1-c146c57c9d20/
One of the tasks given me by the Python Software Foundation as part of the Developer in Residence job was to look at the state of CPython as an active software development project. What are people wor
Link: https://lukasz.langa.pl/f15a8851-af26-4e94-a4b1-c146c57c9d20/
One of the tasks given me by the Python Software Foundation as part of the Developer in Residence job was to look at the state of CPython as an active software development project. What are people wor
lukasz.langa.pl
Where does all the effort go? Looking at Python core developer activity - Łukasz Langa
One of the tasks given me by the Python Software Foundation as part of the Developer in Residence job was to look at the state of CPython as an active software development project. What are people working on? Which standard libraries require most work? Who…
Łukasz Langa: Weekly Report, October 11 - 17
Link: https://lukasz.langa.pl/3996b050-6446-4eac-85b2-f6056480003d/
Very few merged PRs this week as I focused on pushing the report out. And it’s out 😅
Link: https://lukasz.langa.pl/3996b050-6446-4eac-85b2-f6056480003d/
Very few merged PRs this week as I focused on pushing the report out. And it’s out 😅
lukasz.langa.pl
Weekly Report, October 11 - 17 - Łukasz Langa
Very few merged PRs this week as I focused on pushing the report out. And it’s out 😅
Codementor: Know to read mails using Python
Link: https://www.codementor.io/cloudytech147/know-to-read-mails-using-python-1m7t1d9kk3
Know how to read mails using Python
Link: https://www.codementor.io/cloudytech147/know-to-read-mails-using-python-1m7t1d9kk3
Know how to read mails using Python
www.codementor.io
Know to read mails using Python | Codementor
Know how to read mails using Python