#Can we use serial library for python 3.5

[polargear]

Can we use serial library for python 3.5

Any help for this error will be much appreciated. To create a new search service, you can use the Azure portal, Azure PowerShell, or the Azure CLI. You need an Azure subscription and a Azure Cognitive Search service to use this package.

The python 3.5 cannot import serial which i do not know how to solve. Python 2.7, or 3.5 or later is required to use this package. If so, you do not need to install or congure anything else to use Python. I have install the pySerial-2.7 module into the python using the tutorial below:Įverything went smoothly when I used Python 2.7 as I uninstall it and migrate to python 3.5įile "/Library/Frameworks/amework/Versions/3.5/lib/python3.5/site-packages/serial/ init.py", line 21, in įile "/Library/Frameworks/amework/Versions/3.5/lib/python3.5/site-packages/serial/serialposix.py", line 58 Pythonnet supports from Python 2.6 up to Python 3.5.45 Properly Install Python on your system: 1.2Properly Installing Python There’s a good chance that you already have Python on your operating system. It will be very grateful for anyone that can solved my problem. This can be avoided by installing from the numba conda channel. Note: If you’re using a Python 3.5 environment in conda, you may run into trouble with the numba dependency. How do I copy a file How do I read (or write) binary data I cant seem to use os.read() on a pipe created with os.popen() why How do I access the serial (.

Open the Anaconda prompt and write: conda install -c conda-forge librosa. I have been trying to find a solution through the web, but none of the solutions I saw solved my problem. If you use conda/Anaconda environments, librosa can be installed from the conda-forge channel.

[karonbill]

HCIA-AI V3.0 H13-311_v3.0 Questions and Answers

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HCIA-AI V3.0 Certification Exam Overview

Passing the HCIA-AI V3.0 certification will indicate that you: 1)have mastered the AI development history, the Huawei Ascend AI system, the full-stack all-scenario AI strategy，and the algorithms related to traditional machine learning and deep learning. 2) are able to build, train, and deploy neural networks by using development frameworks TensorFlow and MindSpore. 3) competent for sales, marketing, product manager, project management, technical support, and other AI positions.

Exam Contents

The HCIA-AI V3.0 exam covers: AI Overview Machine Learning Overview Deep Learning Overview Mainstream Development Frameworks for AI Huawei AI Development Framework MindSpore Huawei AI Computing Platform Atlas Huawei Open AI Platform for Smart Devices HUAWEI CLOUD Enterprise Intelligence Application Platform Comprehensive AI Experiment

HCIA-AI V3.0 Exam Key Points

1 AI Overview

1.1 AI Overview 1.2 Technical Fields and Application Fields of AI 1.3 Huawei's AI Development Strategy 1.4 AI Disputes 1.5 Future Prospects of AI

2 Machine Learning Overview

2.1 Machine Learning Definition 2.2 Machine Learning Types 2.3 Machine Learning Process 2.4 Other Key Machine Learning Methods 2.5 Common Machine Learning Algorithms 2.6 Case Study

3 Deep Learning Overview

3.1 Deep Learning Summary 3.2 Training Rules 3.3 Activation Function 3.4 Regularization 3.5 Optimizer 3.6 Types of Neural Network 3.7 Common Problems

4 Mainstream Development Frameworks for AI

4.1 Mainstream Development Frameworks 4.2 TensorFlow 2.x Basics 4.3 Common Modules of TensorFlow 2.x 4.4 Basic Steps of Deep Learning Development

5 Huawei AI Development Framework MindSpore

5.1 MindSpore Development Framework 5.2 MindSpore Development and Application

6 Huawei AI Computing Platform Atlas

6.1 Overview of AI Chips 6.2 Hardware Architecture of Ascend Chips 6.3 Software Architecture of Ascend Chips 6.4 Huawei Atlas AI Computing Platform 6.5 Industry Applications of Atlas

7 Huawei Open AI Platform for Smart Devices

7.1 AI Industry Ecosystem 7.2 Huawei HiAI Platform 7.3 Developing Apps Based on Huawei HiAI Platform

8 HUAWEI CLOUD Enterprise Intelligence Application Platform

8.1 Overview of HUAWEI CLOUD EI 8.2 ModelArts 8.3 HUAWEI CLOUD EI Solutions

9 Comprehensive AI Experiment

9.1 Machine Learning Experiment 9.2 Mainstream Development Framework and Deep Learning Experiment 9.3 ModelArts Experiment Guide

View Online HCIA-AI V3.0 H13-311_v3.0 Free Questions

1.Faced with the challenge of achieving efficient distributed training for ultra-large-scale models, MindSpore is handled as? A. Automatic parallel B. Serial C. Manual parallel Answer: A

2.Which of the following is not the difference between Python 2 and Python 3? A. print B. Unicode C. import D. xrange Answer: C

3.Which of the following options is not central to linear algebra? A. Probability theory B. Linear transformation C. Matrix theory D. Vector space Answer: A

4.The Python dictionary is widely identified by "{}". and the internal data consists of the key and its corresponding value A. True B. False Answer: A

5.In the process of training the neural network, we use the gradient descent method to continuously update which value, which makes the loss Function minimization? A. Number of samples B. Eigenvalues C. Hyperparameter D. parameter Answer: D

6.Huawei Machine learning Service MLS MLS is a one-stop platform that supports the entire process of data analysis. Which of the following is not a feature of MLS? A. A rich library of machine learning algorithms. B. machine learning program is intuitive and easy to use. C. Distributed and scalable big data computing engine. D. Support for the R language but does not support the Python language Answer: D