In the last 5 years (2016-2021), I've used Jupyter notebooks intensively, to teach algorithmics, programming, and (not so theoretical) computer science in general, mainly in 🇫🇷 French. I wrote notebooks to teach introduction to Java in 2020, advanced algorithms using Python in 2019, an...
Also, there are open source implementations for basic data structs and algorithms, such as Algorithms in Python and Algorithms in Java. Python and Java full list. ♥ means you need a subscription. #TitleSolutionBasic idea (One line) 1 Two Sum Python Java 1. Hash O(n) and O(n) space...
if (bingadsuser.refresh_token == ""): return redirect(authentication.get_authorization_endpoint()) set_session_data(request, authentication) # At this point even if the user has valid Django web application credentials, # we don't know whether they have access to Microsoft Advertising. ...
Alternative entry point The entry point is only in thefunction_app.pyfile. However, you can reference functions within the project infunction_app.pyby usingblueprintsor by importing. Folder structure The recommended folder structure for a Python functions project looks like the following example: ...
The entry point is only in the function_app.py file. However, you can reference functions within the project in function_app.py by using blueprints or by importing.Folder structureThe recommended folder structure for a Python functions project looks like the following example: Windows Command ...
machine learning, in artificial intelligence (a subject within computer science), discipline concerned with the implementation of computer software that can learn autonomously. Expert systems and data mining programs are the most common applications for improving algorithms through the use of machine learni...
In the learning step, the model is developed based on given training data. In the prediction step, the model is used to predict the response to given data. A Decision tree is one of the easiest and most popular classification algorithms used to understand and interpret data. It can be ...
Our goal is not only to rewrite jMetal in Python, but to focus mainly on aspects where Python can help fill the gaps not covered by Java. In particular, we place our interest in the analysis of results provided by the optimization algorithms, real-time and interactive visualization, ...
a neural network in Python gives you a complete understanding of what goes on behind the scenes when you use a sophisticated machine learning library like CNTK or TensorFlow, the ability to implement a neural network from scratch gives you the ability to experiment with cus...
and variational inference. This is the best manuscript that I have ever read on this subject. Strongly recommended to everyone interested in graphical models. The connections between various inference algorithms and convex optimization is clearly explained. Note: pdf version of this book is freely ava...