Python Intro and Install Guide (Windows and Mac)

Python Intro and Install Guide (Windows and Mac), available at Free, has an average rating of 3.7, with 11 lectures, based on 120 reviews, and has 8731 subscribers.

You will learn about How to install Python and perform basic Python functions This course is ideal for individuals who are People who enrolled in my other courses who need help installing Python so they can do the assignments. It is particularly useful for People who enrolled in my other courses who need help installing Python so they can do the assignments.

Enroll now: Python Intro and Install Guide (Windows and Mac)

Summary

Title: Python Intro and Install Guide (Windows and Mac)

Price: Free

Average Rating: 3.7

Number of Lectures: 11

Number of Published Lectures: 11

Number of Curriculum Items: 11

Number of Published Curriculum Objects: 11

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

How to install Python and perform basic Python functions

Who Should Attend

People who enrolled in my other courses who need help installing Python so they can do the assignments.

Target Audiences

People who enrolled in my other courses who need help installing Python so they can do the assignments.

This course will teach you how to install Python and perform the some basic Python functions. I created this course so that my students have one specific resource they can check out to help them install Python so they can perform the assignments.

For both Mac and Windows I show how to:

Install Python and packages such as NumPy
Download GitHub files
Navigate folders and files using the command line

Course Curriculum

Chapter 1: Intro

Lecture 1: Introduction

Chapter 2: Python Install

Lecture 1: Windows Install

Lecture 2: Mac Install

Chapter 3: Code Download and Navigation

Lecture 1: GitHub Code Download

Lecture 2: Windows Navigation

Lecture 3: Mac Navigation

Chapter 4: Python Practice

Lecture 1: Python Practice

Chapter 5: Conda Environments

Lecture 1: PID Controllers – Intro to Control Design

Lecture 2: Autonomous Robots: Kalman Filter

Lecture 3: Autonomous Robots: Model Predictive Control

Lecture 4: Autonomous Robots: Path Planning

Instructors

Daniel Stang, MSc
Robotics Software Engineer

Rating Distribution

1 stars: 3 votes
2 stars: 4 votes
3 stars: 11 votes
4 stars: 38 votes
5 stars: 64 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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