The application of Matplotlib in solving ordinary differential equation of Python 3 SCI

Python scientific calculation simply records several notes, uses SciPy to solve ordinary differential equations, and uses matplotlib to demonstrate in jupyter notebook. The following points need to be noted: odeint function provided by integration module On jupyter notebook of Anaconda 3 matplotlib 2D drawing to solve Newton's cooli ...

Posted by phpcodec on Thu, 13 Feb 2020 12:52:36 -0800

Docker build container build acceleration strategy

It takes a lot of time to download many kinds of software when building containers. hub.docker.com is slow in nature, especially when it encounters modules stored on gcr.io/aws and so on. pip installation of python module is also slow, and the download of conda is like a snail. There are several ways to speed up the download of container const ...

Posted by safrica on Thu, 30 Jan 2020 07:19:13 -0800

Advanced Neural Network for Python Deep Learning Experiment

Advanced Neural Network Experimental environment keras 2.1.5 tensor 1.4.0 Experimental tools Jupyter Notebook Experiment 1: MNIST generates antagonistic networks thinking Train two models, one to generate a given random noise as input output example G, and one to identify the generated m ...

Posted by jonat8 on Sat, 11 Jan 2020 16:58:06 -0800

Rescue GlusterFS Distributed Storage System

After the GlusterFS distributed storage system was migrated in a previous period of time, the phenomenon of dropping lines and intermittent happened frequently, which made it unable to work properly for a long time.Observations revealed that one of the nodes was always restarting, further revealing that only one of the four nodes in the replica ...

Posted by renesis on Mon, 06 Jan 2020 01:02:34 -0800

Gradient descent (GD)

1, An overview of gradient descent algorithm 1, introduction gradient descent, also known as the steepest descent, is the most commonly used method to solve unconstrained optimization problems. It is an iterative method. The main operation of each step is to solve the gradient vector of the objective function, taking the negative gradient direc ...

Posted by proctk on Thu, 02 Jan 2020 12:02:02 -0800

One click installation of kubeflow based on Alibaba cloud image in China

Introduction: there are wall problems in google's products in China. As a cloud native machine learning suite, kubeflow helps the team greatly. For the team without turning over the wall, building kubeflow based on the domestic image can help you solve many problems. Here, we provide you a set of kubeflow 0.6 installation scheme based on the d ...

Posted by peddel on Thu, 26 Dec 2019 01:00:32 -0800

PyCharm 2019.3 Activate Crack Tutorial (Permanent)

2019.12.02 jetbrains released Python's best editor, PyCharm 2019.3.This major release mainly makes some additions to Jupyter notebooks, MongoDB, Python 3.8. And many of these features are only available in the Professional edition, so today we bring you the activation tutorial for PyCharm 2019.3! Note: Patches for this tutorial, activation code ...

Posted by dnienhaus on Sun, 08 Dec 2019 15:43:45 -0800

data normalization

Because different dimensions may affect the observation results of data Solution: Map all data to the same scale 1. Maximum Normalization: Mapping all data to 0-1 Suitable for situations with clear boundaries, greatly influenced by Outlier xscale=x−xmin⁡xmax⁡−xmin⁡x_{\text {scale}}=\frac{x-x_{\min }}{x ...

Posted by giannis_athens on Thu, 03 Oct 2019 15:24:59 -0700

Teach you how to use Python to manipulate word documents

Use Python to manipulate word documents Installation of Python-docx Python-docx is a module specially for word documents. It can only read docx but not doc files. To put it bluntly, Python is equivalent to the windows operating system. QQ is the software running on the windows operating system. The b ...

Posted by Benny007 on Wed, 18 Sep 2019 07:07:32 -0700

python Programming numpy Library Array Knowledge Points Summary and Detailed Explanation Notes

numpy's knowledge is divided into the following eight parts All code runs in jupyter out:Following is the result of running the output Catalog: 1. Arnge and array functions create arrays 2. The shape function returns the dimensions of the arr ...

Posted by jeffduck on Fri, 06 Sep 2019 19:08:32 -0700