110 Lecture Notes - Lecture 1: Unix Shell, Irobot, Kabuki

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gowtham

24 Apr 2023

School

Anna University - Chennai

Department

Classics

Course

110

Professor

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How to use tf in the ros infrastructure 101 course. The ros infrastructure 101 course is for those who want to learn how to use tf. To start the course, go to theconstructsim. com and select robot ignite academy. You"ll need to sign up for free or sign in if you"ve used our courses before. You"ll be directed to a web page with an ide, web console, simulation, and python notebook that explains the course with examples and exercises. Physical systems, especially robotic systems, have many coordinate frames that change over time. For instance, a robotic arm can have 10 or 20 joints that change independently. Ros provides tools to make calculations and convert data, but it"s not trivial, especially for complex robots. Tf makes it much easier to convert data and make it understandable for the robot. In this course, you"ll learn how to publish and subscribe to tf and publish some tf in ros topics.

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Mosh is a software engineer with two decades of experience and I 've taught over 3 million people how to code. He has designed this Python course for anyone who wants to learn Python. In this tutorial I 'm going to show you how to download and install Python on your computer. You will learn how to use Python in machine learning or artificial intelligence. All the materials you 're going to learn in this course will apply to the latest version of Python as well. At the time of recording this video the latest. version is python 3. 7. 2. Chances are in the future , when you are watching this tutorial there is a newer version of. Python available. The first time we run pycharm we 're going to get this warning because this is an application that we download from the internet. So let 's go ahead and open it every time you open it, click on create new project. Make sure that base interpreter is set to Python 3. Mac computers come with an older installation of Python, that 's Python 2. It 's considered legacy which means it 's no longer maintained or supported. So by convention, all Python files should have this py extension.

In this Python tutorial , we 're gong to take this program to the next level and make it more interesting. So I 'm going to show you how to draw a dog hair. As part of this tutorial you will learn how Python code gets executed and you will also learn about a few programming terms. In the future as you learn more Python you 'll be able to build applications that have a graphical user interface. With this piece of code we can draw 10 asterisks on the terminal. Python interpreter tries to execute line 4 when it executes line 4. It will evaluate the code that we put in between parenthesis. and before the parenthesis , add a space , once again , add an asterisk , space , 10. So let 's run this program one more time , there you go. Are you excited to learn Python and get started on this career path ? If you are, I would encourage you to make a commitment and spend 2 hours every day practicing python. Use the comment box below and let me know why you are learning Python , what do you want to do with it ? What 's your dream job ? I would love to hear your story.

Python interpreter executes our code line by line from the top. On the second line we can update the value of this price variable , so we can reset it to a new value like 20. On line 2, we can define another variable called rating and set it to number 4. 9. Now note that Python is a case sensitive language. Python is sensitive to lower case and upper case letters. In this tutorial, I 'm going to show you how to receive input from the user. So we 're going to write a small program that asks the user 's name and then we 'll print a greeting message customized for that user. In Python we also have functions for common tasks such as printing messages, receiving input , and so on. Mosh has created a cheat sheet with summary notes to review the materials in this course. The link is below this video. So I have done my best to create the best possible Python course on Youtube. And I really appreciate it if you support my hard work by liking this video and sharing it with others.

techg2087

Explanation about Python theory??

Introduction to Python Programming Language

Are you ready to learn Python? Join us on our Learn Coding Channel!

Python is a high-level, interpreted programming language used for web development, data analysis, artificial intelligence, and more. It was first introduced in 1991 by Guido van Rossum, and has since become one of the most popular languages among developers.

Installing Python

Before we can start coding in Python, we need to install it on our system. Here's how:

Go to the Python website

Download the appropriate version for your system (Windows, Mac, Linux, etc.)

Run the installer

Follow the instructions to complete the installation

Getting Started with Python

Now that we have Python installed on our system, we can start coding! Python has a simple syntax, which makes it easy to learn for beginners. Here are a few basic commands to get you started:

print("Hello, World!") - This command will print the text "Hello, World!" to the console

x = 5 - This command will create a variable called x and assign it the value of 5

if x == 5:

print("x is equal to 5") - This command will print the text "x is equal to 5" to the console if the value of x is 5

These are just a few basic commands in Python. As you continue to learn, you'll discover many more powerful functions and libraries that will help you code even more effectively.

Applications Limitations:

Python is a general-purpose language used everywhere.

It is dynamically typed.

Python is used to develop software that can be written with Python.

Python has been described as a 'general-purpose' language for more than 30 years.

It was designed for the purpose of developing software that could be written in the Python language.

Python's creator says the language is a "general-purpose purpose-built" language that is designed to work in the context of the world.

Python is now available to developers to create software that uses Python for the first time.

It's a 'safely typed' language that can work in its own way of working in the language.

It has no easy-to-read software that has been developed in the way of developing in the past.

Python has a built-in, language-free software that works in its native language.

The language-free source software is easy to source and is available in the region.

It's free source, and it'll be available to use.

Python is a safe source software preventing software distributors and providers.

Python has been available to provide software resource, software machine-based systems, and software distributors for Python users.

Python-preferred software users are software makers, language providers, and Python-based software savvy software predominations.

Python is a reliable-driven and blocked software bi-prepared in a distributed software generational bundle.

About Guido van Rossum's New Book

Guido van Rossum's new book is written in a very lowkey manner yet developed at a high level, making it easy to read and understand Python. It's named after a comedy group and is available in the UK and Australia for £25.99.

Python program brings a variable to creation;

Guido van Rossum's new book is a great resource for understanding Python;

The book is available in the UK and Australia for £25.99.

Guido van Rossum is the author of the book which was released in October.

ashwanth1311

Analyze and write about the results of a visual and an auditory lexical decision task. Analyze a large data set that includes students’ responses for both the visual and auditory modality. Lab is a write-up of these findings.

One large data file that includes all experimental trial responses for both the Visual and Auditory modality tasks. Note that the sample size for the visual experiment is 16 and for the auditory experiment is 15.

Presentedz with visual words and pseudo-words in one experiment and auditory words and pseudo-words in a second experiment. Respond whether you saw/heard a real word of English or not. In the visual task, remained fixated on a cross (i.e., ‘+’) presented in the centre of the screen, while the stimulus was visually presented either to the left or right of the fixation point. In the auditory experiment, you heard words and pseudo-words presented either to your left or right ear.

Words Pseudo-words Number 60 60 Pronounceable N/A Yes Hemi-field/Ear Presentation 30 left/30 right 30 left/30 right String Length

Range: 5-7

Mean: 6.01 (SD = 0.71)

Range: 5-7

Mean: 5.85 (SD = 0.78)

Phoneme Length

Range: 5-7

Mean: 5.45 (SD = 0.59)

Range: 3-6

Mean: 4.58 (SD = 0.87)

Number of Morphemes 1 N/A

In each experiment, there were 60 words and 60 pseudo-words. It was the same 120 items presented in each experiment. Only their modality of presentation changed. Thirty words and 30 pseudo-words were presented to the left (side of the screen in the visual experiment, ear in the auditory experiment), while the other 30 words and other 30 pseudo-words are presented to the right. Side of presentation was balanced across participants using two lists. Each list contained the same set of words and pseudo-words; only presentation side was counter-balanced across lists.

Independent samples t-tests revealed no difference in orthographic length between the words and pseudo-words (t(117) = -1.59, p = 0.11); there is, however, a reliable phoneme length difference between the words and pseudo-words (t(104.28) = -6.37, p < 0.001). We also recorded whether the participant was a native speaker of English or not and whether they are right- or left-hand dominant. Feel free to use these factors in your analysis.

Given what you know about the organization of the visual and auditory pathways and lateralization of language processing, state, in very clear terms, what your predictions are. Provide specific predictions for your observation (dependent) variable(s), and select and name your predictor (independent) variable(s).
Provide a detailed list of the processing steps in R that is performed to arrive at your results. For example, do you want to include incorrect trials trials in your analysis of both dependent variables? Do not provide the R code, but instead write out these steps in plain English.
Provide a series of plots that provide an illustration of your results. You should minimally include a plot of the accuracy and reaction time results and this should be done for each modality. You may also included histograms of your reaction time distributions, but this is not necessary. Be sure your axes are appropriately labeled.
Provide a table that presents your numerical findings in a clear manner. Remember to include both the sample-level averages and standard deviations per condition.
Discuss your results in light of the predictions in Q1 and your findings in Q3 and Q4. Make specific reference to your predictions and the extent to which they are borne out.
Get creative: Incorporate one other factor (e.g., native language, handedness). State your predictions and provide a breakdown of the data in terms of these factors.
Design your own research question: Consider how you might use the same experimental design to understand another linguistic phenomenon and population (e.g. stop VOT, vowel length, lexical tone, Mandarin speakers, French speakers etc.). State your research question, and provide and motivate specific predictions for your dependent variable(s) as a function of your predictor variable(s). Note: Ideally, the new research question will still involve language lateralization. Consult the Gazzaniga readings online for ideas based on the particular specializations of each hemisphere.

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110 Lecture Notes - Lecture 1: Unix Shell, Irobot, Kabuki

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