Archive for the ‘Python’ Category

February 18th, 2019

Chris Moffitt: Monte Carlo Simulation with Python

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Introduction

There are many sophisticated models people can build for solving a forecasting
problem. However, they frequently stick to simple Excel models based on average
historical values, intuition and some high level domain-specific heuristics.
This approach may be precise enough for the problem at hand but there are alternatives
that can add more information to the prediction with a reasonable amount of additional effort.

One approach that can produce a better understanding of the range of potential
outcomes and help

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February 18th, 2019

Red Hat Developers: Creating a containerized Python/Flask development environment with Red Hat CodeReady Workspaces

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Red Hat CodeReady Workspaces provide developers with containerized development environments hosted on OpenShift/Kubernetes. DevOps teams can now use a hosted development environment that’s pre-built for their chosen stack and customized for their project.

CodeReady Workspaces can help you rapidly onboard developers for your project as everything they need to develop is running in a containerized workspace. In this post, we’re going to use CodeReady Workspaces to get up and running quickly with an existing open source project, … Read the rest

February 17th, 2019

gamingdirectional: Continue with the boy boundary detection mechanism

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In the previous article, we have successfully made the boy climbing up the ladder but the boy will continue climbing even though there is no more ladder for him to climb. In this article, we will solve the previous problem by introducing the following rules. When the boy is climbing the ladder he can only move in either the upward or the downward direction but not side-way.There will be no return…

Source

February 17th, 2019

PyBites: PyBites Twitter Digest – Issue 01, 2019

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It has been too long 😞 but we’re excited to bring you today: 🐍 PyBites Twitter Digest – Issue 01, 2019 😎

Python Developers Survey 2018 results

Hey Pythonistas, have you already seen the Python Developers Survey 2018 results? https://t.co/N0bBPVUXZ0 #pythondevsurvey

— Python Software (@ThePSF) February 16, 2019

Cool: Jupyter for every high schooler (4 steps of inquiry-based learning)

Jupyter for every high schooler- Rob Newton (Trinity School): https://t.co/BlCSz7rzaH. Find out about the 4 steps of inquiry-based learning.

— Python

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February 16th, 2019

gamingdirectional: Detect the player’s boundary

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In this article, we will start to create the boundary detection mechanism which can be used to help the boy moving around the canvas. We will go slowly where this topic will take a few chapters to complete. In this chapter, we will focus on below issues. The boy will not be able to move past the horizontal boundary of either 0 or 576 pixels which is the physical boundary for the boy sprite.

Source

February 16th, 2019

Vasudev Ram: pprint.isrecursive: Check if object requires recursive representation

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By Vasudev Ram – Online Python training / SQL training / Linux training

Tree image attribution

Hi, readers,

I was using the pprint module to pretty-print some Python data structures in a program I was writing. Then saw that it has a function called isrecursive.

The docstring for pprint.isrecursive says:

>>> print pprint.isrecursive.__doc__
Determine if object requires a recursive representation.

Here is a Python 3 shell session that shows what the isrecursive function does, with a list:… Read the rest

February 15th, 2019

PyCharm: PyCharm 2019.1 EAP 4

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Our fourth Early Access Program (EAP) version for PyCharm 2019.1 is now available on our website.

New in This Version

Parallel and concurrent testing with pytest

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PyCharm makes it easy to run tests quickly using multiprocessing (parallelism) and multithreading (concurrency). All you need to do in order to run your pytest tests in parallel is to install the pytest-xdist plugin as a normal python package using the PyCharm’s package manager, specify pytest as the project testing framework, … Read the rest

February 15th, 2019

Continuum Analytics Blog: Intake released on Conda-Forge

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Intake is a package for cataloging, finding and loading your data. It has been developed recently by Anaconda, Inc., and continues to gain new features. To read general information about Intake and how to use…

The post Intake released on Conda-Forge appeared first on Anaconda.… Read the rest

February 14th, 2019

Made With Mu: A GPIOZero Theramin for Valentine’s Day

Comments Off on Made With Mu: A GPIOZero Theramin for Valentine’s Day, Python, by admin.

Thanks to Ben Nuttall, one of the
maintainers of the wonderful, GPIOZero library, love is in the air.

Why not serenade your Valentine with Mu, a distance sensor, speaker, Raspberry
Pi and some nifty Python code which uses GPIOZero to turn the hardware into a
romantic Theramin..?

It’s only four lines of code, thus showing how easy it is to make cool hardware
hacks with Mu, Python and GPIOZero:

from gpiozero import TonalBuzzer, DistanceSensor

buzzer = TonalBuzzer(20)
ds = 
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February 14th, 2019

Codementor: What You Don’t Know About Python Variables

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The first time you get introduced to Python’s variable, it is usually defined as “parts of your computer’s memory where you store some information.” Some define it as a “storage placeholder for texts and numbers.” Python variables is more than he above definition.… Read the rest