Python programming for Automotive

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Free Download Python programming for Automotive
Published 9/2024
Created by Thaminmun Ansari S
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 11 Lectures ( 5h 22m ) | Size: 2.36 GB

Course on python programming for Automotive Application
What you'll learn:
Python programming for Automotive Application
Virtual Vehicle network design
Automotive Test Automation using python
Rapid Automotive Software prototype development
Requirements:
Knowledge about Automotive bus systems
Knowledge about commercial network analysis tools
Basic programming knowledge
Strong knowledge in Electronics
Description:
Python has become a more adaptable programming language in recent years, with applications in a wide range of fields, including automotive software development. Python's readable nature and ease of use make it ideal for rapid prototyping and development. This is important since the automobile business moves quickly and the need for quick iterations to stay competitive is paramount. NumPy, SciPy, and TensorFlow are just a few of the many libraries and frameworks that Python has to offer. These are helpful for jobs like artificial intelligence, machine learning, and data analysis. These resources can be used to create sophisticated driver assistance. OpenCV and scikit-learn, two of Python's many libraries, are incredibly helpful for designing and testing algorithms that are essential to ADAS features. Python speeds up the creation of intelligent systems, from object identification to lane departure alerts. Python's wide ecosystem and versatility are driving its growing importance in automotive development. Python is a strong suit for applications involving high-level control, data analysis, and machine learning, yet it might not be appropriate for every area of automotive software. this course aim to cover every aspect of using python for automotive applications from the basics like creating virtual vehicle networks, network traffic analysis, ECU test automations etc.
Who this course is for:
Automotive Software programmer
Automotive System Testing Engineer
Automotive Test Application developer
Researcher
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Python Programming For Automotive
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.94 GB | Duration: 5h 23m​

Course on python programming for Automotive Application

What you'll learn

Python programming for Automotive Application

Virtual Vehicle network design

Automotive Test Automation using python

Rapid Automotive Software prototype development

Requirements

Knowledge about Automotive bus systems

Knowledge about commercial network analysis tools

Basic programming knowledge

Strong knowledge in Electronics

Description

Python has become a more adaptable programming language in recent years, with applications in a wide range of fields, including automotive software development. Python's readable nature and ease of use make it ideal for rapid prototyping and development. This is important since the automobile business moves quickly and the need for quick iterations to stay competitive is paramount. NumPy, SciPy, and TensorFlow are just a few of the many libraries and frameworks that Python has to offer. These are helpful for jobs like artificial intelligence, machine learning, and data analysis. These resources can be used to create sophisticated driver assistance. OpenCV and scikit-learn, two of Python's many libraries, are incredibly helpful for designing and testing algorithms that are essential to ADAS features. Python speeds up the creation of intelligent systems, from object identification to lane departure alerts. Python's wide ecosystem and versatility are driving its growing importance in automotive development. Python is a strong suit for applications involving high-level control, data analysis, and machine learning, yet it might not be appropriate for every area of automotive software. this course aim to cover every aspect of using python for automotive applications from the basics like creating virtual vehicle networks, network traffic analysis, ECU test automations etc.

Overview

Section 1: Python Basics

Lecture 1 Introduction

Lecture 2 Python Module Creation

Lecture 3 Python Object types

Lecture 4 String Object Introduction

Lecture 5 List Object Introduction

Lecture 6 Dictionary Introduction

Lecture 7 Tuples Introduction

Lecture 8 Files Introduction

Lecture 9 Type Casting

Lecture 10 Statements

Section 2: Automotive Network Simulation

Lecture 11 Timer Event Handler and Multi threading

Automotive Software programmer,Automotive System Testing Engineer,Automotive Test Application developer,Researcher

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!