Chris Moffitt: Using Document Properties to Track Your Excel Reports
Link: https://pbpython.com/excel-properties.html
Introduction
When doing analysis with Jupyter Notebooks, you will frequently find yourself
generating ad-hoc Excel reports to distribute to your end-users. After time, you might
end up with dozens (o
Link: https://pbpython.com/excel-properties.html
Introduction
When doing analysis with Jupyter Notebooks, you will frequently find yourself
generating ad-hoc Excel reports to distribute to your end-users. After time, you might
end up with dozens (o
Pbpython
Using Document Properties to Track Your Excel Reports
Excel document properties can be helpful for organizing and managing your Jupyter Notebook outputs.
PyCharm: Webinar: “Idiomatic Pandas: 5 tips for better Pandas”, With Matt Harrison and Jodie Burchell
Link: https://blog.jetbrains.com/pycharm/2022/06/webinar-idiomatic-pandas-5-tips-for-better-pandas-with-matt-harrison-and-jodie-burchell/
Link: https://blog.jetbrains.com/pycharm/2022/06/webinar-idiomatic-pandas-5-tips-for-better-pandas-with-matt-harrison-and-jodie-burchell/
The JetBrains Blog
Webinar: “Idiomatic Pandas: 5 tips for better Pandas”, With Matt Harrison and Jodie Burchell | The PyCharm Blog
I’ve been a long-time Pandas user, relying on it heavily since the start of my data science career. However, up until the last couple of years, I struggled with certain issues, such as not being able
PyCharm
Link:
I’ve been a long-time Pandas user, relying on it heavily since the start of my data science career. However, up until the last couple of years, I struggled with certain issues, such as not being able
Link:
I’ve been a long-time Pandas user, relying on it heavily since the start of my data science career. However, up until the last couple of years, I struggled with certain issues, such as not being able
Andre Roberge: Friendly IDLE
Link: https://aroberge.blogspot.com/2022/06/friendly-idle.html
friendly_idle is now available. This is just a quick announcement. Eventually I plan to write a longer blog post explaining how I use import hooks to patch IDLE and to provide seamless support for fr
Link: https://aroberge.blogspot.com/2022/06/friendly-idle.html
friendly_idle is now available. This is just a quick announcement. Eventually I plan to write a longer blog post explaining how I use import hooks to patch IDLE and to provide seamless support for fr
Blogspot
Friendly IDLE
friendly_idle is now available. This is just a quick announcement. Eventually I plan to write a longer blog post explaining how I use impo...
Real Python: Combining Data in pandas With concat() and merge()
Link: https://realpython.com/courses/data-pandas-concat-and-merge/
The Series and DataFrame objects in pandas are powerful tools for exploring and analyzing data. Part of their power comes from a multifaceted approach to combining separate datasets. With pandas, you
Link: https://realpython.com/courses/data-pandas-concat-and-merge/
The Series and DataFrame objects in pandas are powerful tools for exploring and analyzing data. Part of their power comes from a multifaceted approach to combining separate datasets. With pandas, you
Realpython
Combining Data in pandas With concat() and merge() – Real Python
In this video course, you'll learn two techniques for combining data in pandas: merge() and concat(). Combining Series and DataFrame objects in pandas is a powerful way to gain new insights into your data.
Mike Driscoll: Data Science Packages in Python (Video)
Link: https://www.blog.pythonlibrary.org/2022/06/14/data-science-packages-in-python-video/
In this tutorial, I will talk about some of the many different data science packages you can use in Python.
Packages mentioned: pandas, matplotlib, numpy, scipy, mahotas, OpenCV, Keras, PyTorch, Tenso
Link: https://www.blog.pythonlibrary.org/2022/06/14/data-science-packages-in-python-video/
In this tutorial, I will talk about some of the many different data science packages you can use in Python.
Packages mentioned: pandas, matplotlib, numpy, scipy, mahotas, OpenCV, Keras, PyTorch, Tenso
Mouse Vs Python
Data Science Packages in Python (Video) - Mouse Vs Python
In this tutorial, I will talk about some of the many different data science packages you can use in Python. Packages mentioned: pandas, matplotlib, numpy,
ListenData: Region Proposal Network (RPN) : A Complete Guide
Link: https://www.listendata.com/2022/06/region-proposal-network.html
This tutorial includes detailed step by step guide of how Region Proposal Network (RPN) works. It is mainly used in RCNN family for object detection. Those who are familiar with RCNN, they might alrea
Link: https://www.listendata.com/2022/06/region-proposal-network.html
This tutorial includes detailed step by step guide of how Region Proposal Network (RPN) works. It is mainly used in RCNN family for object detection. Those who are familiar with RCNN, they might alrea
ListenData
Region Proposal Network (RPN) : A Complete Guide
Detailed step by step guide of how Region Proposal Network (RPN) works. It also includes explanation how it is used in Faster R-CNN.
PyCoder’s Weekly: Issue #529 (June 14, 2022)
Link: https://pycoders.com/issues/529
#529 – JUNE 14, 2022 View in Browser » A First Look at PyScript: Python in the Web Browser In this tutorial, you’ll learn about PyScript, a new framework that allows for running Python in the we
Link: https://pycoders.com/issues/529
#529 – JUNE 14, 2022 View in Browser » A First Look at PyScript: Python in the Web Browser In this tutorial, you’ll learn about PyScript, a new framework that allows for running Python in the we
Pycoders
PyCoder’s Weekly | Issue #529
Issue #529 of the PyCoder’s Weekly newsletter, published June 14, 2022.
Python Bytes: #288 Performance benchmarks for Python 3.11 are amazing
Link: https://pythonbytes.fm/episodes/show/288/performance-benchmarks-for-python-3.11-are-amazing
<p><strong>Watch the live stream:</strong></p>
<a href='https://www.youtube.com/watch?v=2ZTEEy1_Gkk' style='font-weight: bold;'>Watch on YouTube</a><br>
<br>
<p><strong>About the show</strong></p>
Link: https://pythonbytes.fm/episodes/show/288/performance-benchmarks-for-python-3.11-are-amazing
<p><strong>Watch the live stream:</strong></p>
<a href='https://www.youtube.com/watch?v=2ZTEEy1_Gkk' style='font-weight: bold;'>Watch on YouTube</a><br>
<br>
<p><strong>About the show</strong></p>
pythonbytes.fm
Performance benchmarks for Python 3.11 are amazing
News and announcements from the Python community for the week of Jun 14th, 2022
Kushal Das: Story of a space
Link: https://kushaldas.in/posts/story-of-a-space.html
In my case the story continued for around 2 hours. Yesterday I was trying to
implement something from a given SPEC, and tried to match my output (from Rust)
with the output from the Python code writt
Link: https://kushaldas.in/posts/story-of-a-space.html
In my case the story continued for around 2 hours. Yesterday I was trying to
implement something from a given SPEC, and tried to match my output (from Rust)
with the output from the Python code writt
Python for Beginners: Doubly Linked List in Python
Link: https://www.pythonforbeginners.com/basics/doubly-linked-list-in-python
Linked lists are used in various applications in python programming. In this article, we will implement a doubly linked list in python. To understand doubly linked lists, you will need to have the kno
Link: https://www.pythonforbeginners.com/basics/doubly-linked-list-in-python
Linked lists are used in various applications in python programming. In this article, we will implement a doubly linked list in python. To understand doubly linked lists, you will need to have the kno
PythonForBeginners.com
Doubly Linked List in Python - PythonForBeginners.com
Doubly Linked List in Python will help you improve your python skills with easy to follow examples and tutorials.
PyBites: How to make a nice graph using Django and Chart.js
Link: https://pybit.es/articles/how-to-make-a-nice-graph-using-django-and-chart-js/
In this article I will show you how to make a beautiful yet simple graph using Django + Chart.js.
The code for this project is here.
Getting the data
We are going to plot the number of Bite exercises
Link: https://pybit.es/articles/how-to-make-a-nice-graph-using-django-and-chart-js/
In this article I will show you how to make a beautiful yet simple graph using Django + Chart.js.
The code for this project is here.
Getting the data
We are going to plot the number of Bite exercises
Pybites
How To Make A Nice Graph Using Django And Chart.js - Pybites
In this article I will show you how to make a beautiful yet simple graph using Django + Chart.js.
Podcast.__init__: Intelligent Dependency Resolution For Optimal Compatibility And Security With Project Thoth
Link: https://www.pythonpodcast.com/thoth-dependency-resolution-episode-367/
Building any software project is going to require relying on dependencies that you and your team didn't write or maintain, and many of those will have dependencies of their own. This has led to a wide
Link: https://www.pythonpodcast.com/thoth-dependency-resolution-episode-367/
Building any software project is going to require relying on dependencies that you and your team didn't write or maintain, and many of those will have dependencies of their own. This has led to a wide
Mike Driscoll: What's New in Python 3.11 (Video)
Link: https://www.blog.pythonlibrary.org/2022/06/15/whats-new-in-python-3-11-video/
In this video, Mike Driscoll talks about what to expect in Python's newest release, which is coming in Fall 2022
Better Performance
Improved error messages
Exception groups
New type hints
The new `to
Link: https://www.blog.pythonlibrary.org/2022/06/15/whats-new-in-python-3-11-video/
In this video, Mike Driscoll talks about what to expect in Python's newest release, which is coming in Fall 2022
Better Performance
Improved error messages
Exception groups
New type hints
The new `to
Mouse Vs Python
What's New in Python 3.11 (Video) - Mouse Vs Python
In this video, Mike Driscoll talks about what to expect in Python's newest release, which is coming in Fall 2022 Better Performance Improved error
Real Python: Build Your Python Project Documentation With MkDocs
Link: https://realpython.com/python-project-documentation-with-mkdocs/
In this tutorial, you’ll learn how to quickly build documentation for a Python package using MkDocs and mkdocstrings. These tools allow you to generate nice-looking and modern documentation from Markd
Link: https://realpython.com/python-project-documentation-with-mkdocs/
In this tutorial, you’ll learn how to quickly build documentation for a Python package using MkDocs and mkdocstrings. These tools allow you to generate nice-looking and modern documentation from Markd
Realpython
Build Your Python Project Documentation With MkDocs – Real Python
In this tutorial, you'll learn how to build professional documentation for a Python package using MkDocs and mkdocstrings. These tools allow you to generate nice-looking and modern documentation from Markdown files and, more importantly, from your code's…
Ned Batchelder: Math factoid of the day: 60
Link: https://nedbatchelder.com/blog/202206/math_factoid_of_the_day_60.html
60 shows up in lots
of places. It’s the smallest number divisible by 1 through 6, and perhaps
because of that, it’s the basis of our timekeeping and angular measurements.Of course the angles in an eq
Link: https://nedbatchelder.com/blog/202206/math_factoid_of_the_day_60.html
60 shows up in lots
of places. It’s the smallest number divisible by 1 through 6, and perhaps
because of that, it’s the basis of our timekeeping and angular measurements.Of course the angles in an eq
Nedbatchelder
Math factoid of the day: 60
60 shows up in lots of places, including Archimedean solids
Talk Python to Me: #369: Getting Lazy with Python Imports and PEP 690
Link: https://talkpython.fm/episodes/show/369/getting-lazy-with-python-imports-and-pep-690
Python is undergoing a performance renaissance. We already have Python 3.11 20-40% faster than even Python 3.10. On this episode, we'll dive into a new proposal to make Python even more efficient usin
Link: https://talkpython.fm/episodes/show/369/getting-lazy-with-python-imports-and-pep-690
Python is undergoing a performance renaissance. We already have Python 3.11 20-40% faster than even Python 3.10. On this episode, we'll dive into a new proposal to make Python even more efficient usin
talkpython.fm
Getting Lazy with Python Imports and PEP 690
Python is undergoing a performance renaissance. We already have Python 3.11 20-40% faster than even Python 3.10. On this episode, we'll dive into a new proposal to make Python even more efficient using lazy imports laid out in PEP 690. We have all three folks…
EuroPython: The Humans of EuroPython: Naomi Ceder ✨
Link: https://blog.europython.eu/pythonista-spotlight-naomi-ceder/
I’m Naomi Ceder, and I’ve been involved in Python communities since I first learned Python (at LinuxWorld in a tutorial given by Guido) in 2001. Over those years I’ve taught Python in schools, at meet
Link: https://blog.europython.eu/pythonista-spotlight-naomi-ceder/
I’m Naomi Ceder, and I’ve been involved in Python communities since I first learned Python (at LinuxWorld in a tutorial given by Guido) in 2001. Over those years I’ve taught Python in schools, at meet
EuroPython Blog
The Humans of EuroPython: Naomi Ceder ✨
I’m Naomi Ceder, and I’ve been involved in Python communities since I first learned Python (at LinuxWorld in a tutorial given by Guido) in 2001. Over those years I’ve taught Python in schools, at meetups, and at conferences, and I’ve been a conference organiser…
Real Python: The Real Python Podcast – Episode #114: Getting Started in Python Cybersecurity and Forensics
Link: https://realpython.com/podcasts/rpp/114/
Are you interested in a career in security using Python? Would you like to stay ahead of potential vulnerabilities in your Python applications? This week on the show, James Pleger talks about Python i
Link: https://realpython.com/podcasts/rpp/114/
Are you interested in a career in security using Python? Would you like to stay ahead of potential vulnerabilities in your Python applications? This week on the show, James Pleger talks about Python i
Realpython
Episode #114: Getting Started in Python Cybersecurity and Forensics – The Real Python Podcast
Are you interested in a career in security using Python? Would you like to stay ahead of potential vulnerabilities in your Python applications? This week on the show, James Pleger talks about Python information security, incident response, and forensics.
PyCharm: PyCharm 2022.1.3 Release Candidate Is Available
Link: https://blog.jetbrains.com/pycharm/2022/06/2022-1-3-rc/
The release candidate for PyCharm 2022.1.3 is ready for you to spot-check before we roll out the release.
Important! If you have PyCharm 2022.1.2 already installed, you will need to update to PyCharm
Link: https://blog.jetbrains.com/pycharm/2022/06/2022-1-3-rc/
The release candidate for PyCharm 2022.1.3 is ready for you to spot-check before we roll out the release.
Important! If you have PyCharm 2022.1.2 already installed, you will need to update to PyCharm
The JetBrains Blog
PyCharm 2022.1.3 Release Candidate Is Available | The PyCharm Blog
The release candidate for PyCharm 2022.1.3 is ready for you to spot-check before we roll out the release.
Important! If you have PyCharm 2022.1.2 already installed, you will need to update to PyCha
Important! If you have PyCharm 2022.1.2 already installed, you will need to update to PyCha