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28 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
29 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
Course Price At
28 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
29 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
Course Price At
Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.
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Designed for Mechanical engineers, Python for Mechanical Engineers Online Training Course imparts knowledge on the fundamentals and capabilities of Python programming language. Students will learn python applications in mechanical engineering, how to write automation scripts for CAD, and use python scripts to set up and run finite element studies in Abaqus. This course will help mechanical engineers understand and learn how to integrate mechanical engineering concepts with python to automate and simulate concepts. There are 9 modules in the program, which starts with introduction to Python programming language, basics, modules and functions. It also covers topics, such as List, Tuple, Dictionary, Strings, Scientific Calculations, Matplotlib, Numpy & Pandas, Python for Free CAD and Python for Abacus. After this program, you will be able to automate creations in CAD drawings, such as vibrations and dynamic motions, simulation, modeling engineering, etc.
Python is a programming language, which is commonly used to develop websites and software, automate task, analyze and visualize data.
Python offers lots of benefits to its users; for instance Python is a high-level programming language, which is easy to read, learn and write. Python’s simplicity allows developers to focus on solving the problem, without having to spend time in understanding the behaviour or syntax of the programming language. Developers can do more things by writing less code.
Python is slower than C++ as it supports dynamic typing and uses interpreter, which slows down the compilation process. C++ on the other hand is statically typed, which leads to a faster compilation of code.