Learn SimPy from Scratch:Build Realistic Python Simulations

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Mantic wise

4:05:51

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1. Introduction

1. Introduction.mp4

02:48

2. What is Discrete Event Simulation Why is it so powerful.mp4

04:57

3. Intro to Google Colab.mp4

03:00

4. Python Refresher (Optional).mp4

19:07

5. Simpy Fundamentals.mp4

06:38

2. Visit to the ATM

1. Timeout Event.mp4

06:41

2. Multiple customers.mp4

12:29

3. Resource.mp4

14:01

4. A Business Case Study!.mp4

24:19

3. Lets go shopping!

1. Intro.mp4

13:18

2. Container.mp4

07:14

3. Shared Resource.mp4

09:51

4. Yielding a Process.mp4

13:45

5. Condition Event.mp4

10:58

6. Business Case Study.mp4

16:31

4. Advanced Features

1. Priority Resource.mp4

12:04

2. Store 1.mp4

12:03

3. Store 2.mp4

14:42

4. Custom Event.mp4

16:42

5. Preemptive Resource.mp4

24:43

5. Good Job!

1. Well Done.html

Description

Discrete-Event Modeling, SimPy, fundamentals of discrete-event simulation, Advanced SimPy

What You'll Learn?

How to become a decision scientist?
How to create engaging simulations with Python and SimPy?
Building simulations of real-world scenarios from various fields such as retail, manufacturing, banking...
Clear understanding of simulation concepts
Data analysis
Statistical and sensitivity analysis
Modeling real-world scenarios
Constructing discrete-event simulation models

Who is this for?

Students and researchers using simulation and modeling in their coursework.

Engineers and scientists looking to build accurate simulations for their work.

Other industry practitioners who have to evaluate various scenarios.

What You Need to Know?

Basic Python knowledge is all you need.

More details

Description
Are you looking to expand your simulation and modeling skills? If so, you've come to the right place! This comprehensive Udemy course focuses on SimPy, a powerful Python library for discrete-event simulation. With SimPy, you can create accurate and effective simulations for business, engineering, or scientific applications.
Throughout this course, you'll learn everything you need to know to build simulations with SimPy. Starting with the basics of discrete-event simulation, you'll gain an understanding of processes, events, and resources. From there, you'll dive into the SimPy library and learn how to create and manage processes, schedule events, and use advanced features like process synchronization and communication.
What's more? This course has a practical approach to hands-on learning, making it accessible to anyone willing to learn simulation. You'll get to work on a variety of real-world simulation projects, including supply chain management, queuing theory, and throughput flow analysis. These projects will give you a deep understanding of SimPy and prepare you to build simulations for any application.
By the end of this course, you'll have a strong foundation in SimPy and be ready to build your own simulations for any application. You'll have learned how to apply SimPy to real-world applications and simulations in various fields, such as retail, manufacturing, and banking.
Take advantage of this opportunity to learn SimPy from experts. Whether you are a student, an academic, or an industry practitioner, this course has everything you need to build your simulation skills and advance your career.
Enroll today and take your simulation skills to the next level!
Who this course is for:
Students and researchers using simulation and modeling in their coursework.
Engineers and scientists looking to build accurate simulations for their work.
Other industry practitioners who have to evaluate various scenarios.

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Nitish Singh and Bhoomica Nataraja are co-founders of Manticwise, a company that offers training and consulting services in simulation modeling, data analysis, and optimization. With a combined experience of over 12 years in industry and academia, Nitish and Bhoomica bring a wealth of practical experience to their courses.Both Nitish and Bhoomica are pursuing their PhD degrees in the Netherlands, where they developed their expertise in simulation modeling, data analysis, and optimization. Nitish worked in the industry for 5 years before pursuing his Ph.D., gaining valuable experience in decision making using simulation. Bhoomica, on the other hand, has a background in optimization and has worked on several projects in data analysis and optimization in diverse industries for 6+ years.As instructors, Nitish and Bhoomica have taught numerous offline courses on a range of topics, including simulation modeling, data analysis, and optimization. Their teaching style is interactive and engaging, with a focus on hands-on learning and real-world applications.In their courses, Nitish and Bhoomica bring together their expertise to offer students a comprehensive learning experience. With a focus on practical applications and real-world examples, their courses are designed to help students develop the skills and knowledge they need to succeed in their careers.Join Nitish and Bhoomica at Manticwise today to take your skills to the next level and unlock your full potential!

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