TechBeamers Python: Python Map()
Python map() function applies another function on a given iterable (List/String/Dictionary, etc.) and returns map object. In simple words, it traverses the list, calls the function for each element,...
View ArticleStéphane Wirtel: PyCon Germany 2019
Speaker at PyCon.DE 2019 Voilà, during the last week, I received very good news, I will be a speaker at PyCon.DE 2019 in Berlin in October 2019. I will present my new talk What’s new in Python 3.8? So,...
View ArticleMike Driscoll: PyDev of the Week: Raphael Pierzina
This week we welcome Raphael Pierzina (@hackebrot) as our PyDev of the Week! Raphael is a core developer of pytest, a popular testing framework for Python. You can learn more about Raphael by visiting...
View Articlecodingdirectional: Change python string to lower or upper case
In this article, we will create a function which will take in a string and then change the word within that string to either all uppercases if most of the words within that string are uppercase or all...
View ArticleTalk Python to Me: #225 Can subinterpreters free us from Python's GIL?
Have you heard that Python is not good for writing concurrent asynchronous code? This is generally a misconception. But there is one class of parallel computing that Python is not good at: CPU bound...
View ArticleErik Marsja: Repeated Measures ANOVA in R and Python using afex & pingouin
In this post we will learn how to carry out repeated measures Analysis of Variance (ANOVA) in R and Python. To be specific, we will use the R package afex and the Python package pingouin to carry out...
View ArticleCodementor: How I built a Python text app
This app helps in sending messages to phone numbers using a facility called Twilio.
View ArticlePodcast.__init__: Learning To Program In Python With CodeGrades
With the increasing role of software in our world there has been an accompanying focus on teaching people to program. There are numerous approaches that have been attempted to achieve this goal with...
View ArticleReal Python: Your Guide to the Python Print Function
If you’re like most Python users, including me, then you probably started your Python journey by learning about print(). It helped you write your very own hello world one-liner. You can use it to...
View ArticleCurtis Miller: Learn Python Statistics and Machine Learning with My New Book:...
Packt Publishing has turned another one of my video courses, Training Your Systems with Python Statistical Modeling, into a book! This book is now available for purchase. It is a tutorial book for...
View ArticleCodeGrades: CodeGrades on Podcast.__init__
CodeGrades was recently on the Podcast.__init__ show where we had lots of fun exploring the links between music and coding education as a way to explain the concepts behind CodeGrades.The host, Tobias,...
View ArticleCodementor: Top 9 Django Concepts - Part 1: 4 Mins
The 1st part of a 3 part series on 9 concepts of Django to help any aspiring Django developer to accelerate their learnings
View ArticleStack Abuse: Using Django Signals to Simplify and Decouple Code
IntroductionSystems are getting more complex as time goes by and this warrants the need to decouple systems more. A decoupled system is easier to build, extend, and maintain in the long run since not...
View ArticleReal Python: Traditional Face Detection With Python
Computer vision is an exciting and growing field. There are tons of interesting problems to solve! One of them is face detection: the ability of a computer to recognize that a photograph contains a...
View ArticleContinuum Analytics Blog: What’s in a Name? Clarifying the Anaconda Metapackage
The name “Anaconda” is overloaded in many ways. There’s our company, Anaconda, Inc., the Anaconda Distribution, the anaconda metapackage, Anaconda Enterprise, and several other, sometimes completely...
View ArticleContinuum Analytics Blog: Getting Started with Machine Learning in the...
Machine learning (ML) is a subset of artificial intelligence (AI) in which data scientists use algorithms and statistical models to predict outcomes and/or perform specific tasks. ML models can...
View ArticleBhavin Gandhi: Organizing PythonPune Meetups
One thing I like most about meetups is, you get to meet new people. Talking with people, sharing what they are doing helps a lot to gain more knowledge. It is also a good platform to make connections...
View ArticleContinuum Analytics Blog: Getting Started with Machine Learning in the...
Machine learning (ML) is a subset of artificial intelligence (AI) in which data scientists use algorithms and statistical models to predict outcomes and/or perform specific tasks. ML models can...
View ArticleMike Driscoll: An Intro to Flake8
Python has several linters that you can use to help you find errors in your code or warnings about style. For example, one of the most thorough linters is Pylint. Flake8 is described as a tool for...
View ArticlePyCoder’s Weekly: Issue #381 (Aug. 13, 2019)
#381 – AUGUST 13, 2019View in Browser »Traditional Face Detection With Python In this course on face detection with Python, you’ll learn about a historically important algorithm for object detection...
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