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Hi, in this video I will show you how you can cartoon yourself using ADOBE ILLUSTRATOR step by step.

If you are new and want to have instant followers on Facebook, this video will teach you how to do it. Click on the link below to convert your profile to a page! https://www.facebook.com/help/1756441...

This Python 3 tutorial course aims to teach everyone the basics of programming computers using Python. The course has no prerequisites and avoids all but the simplest mathematics. ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Why Program? ⌨️ (0:12:21) Why Program? - Hardware Architecture ⌨️ (0:24:24) Python 3 Windows Installation ⌨️ (0:32:34) Python 3 Mac Installation ⌨️ (0:36:41) Why Program? - Python as a Language ⌨️ (0:44:17) Why Program? - What do we say? ⌨️ (0:56:55) Variables, Expressions, and Statements ⌨️ (1:06:20) Variables, Expressions, and Statements - Expressions ⌨️ (1:26:00) Conditional Execution ⌨️ (1:39:13) Conditional Execution - More Conditional Structures ⌨️ (1:52:48) Functions ⌨️ (2:03:02) Functions - Functions of our own ⌨️ (2:15:21) Loops and Iteration ⌨️ (2:25:04) Loops and Iteration - Definite Loops ⌨️ (2:31:40) Loops and Iteration - Loop Idioms ⌨️ (2:40:07) Loops and Iteration - More Loop Patterns ⌨️ (2:58:39) Strings ⌨️ (3:09:06) Strings - More String Operations ⌨️ (3:27:33) Reading Files ⌨️ (3:35:12) Reading Files - Reading Files in Python ⌨️ (3:48:42) Python Lists ⌨️ (3:59:27) Python Lists - Loop Operations ⌨️ (4:08:52) Python Lists - Strings vs. Lists ⌨️ (4:16:42) Python Lists - Strings, Files, Lists & the Guardian Pattern ⌨️ (4:28:44) Dictionaries ⌨️ (4:36:32) Dictionaries - Counting ⌨️ (4:45:43) Dictionaries - Counting Words in Text ⌨️ (4:58:21) Dictionaries - Counting Word Frequency Using a Dictionary ⌨️ (5:22:46) Tuples ⌨️ (5:32:18) Tuples - Sorting ⌨️ (5:44:26) Tuples - Sorting a Dictionary Using Tuples ⌨️ (5:54:56) Regular Expressions ⌨️ (6:05:21) Regular Expressions - From Matching to Extracting ⌨️ (6:13:47) Regular Expressions - String Parsing ⌨️ (6:22:17) Networked Programs ⌨️ (6:29:45) Networked Programs - Application Protocols ⌨️ (6:38:56) Networked Programs - Write a Web Browser ⌨️ (6:43:10) Networked Programs - Code Example: socket1.py ⌨️ (6:48:58) Networked Programs - Characters and Strings ⌨️ (6:59:57) Networked Programs - urllib ⌨️ (7:05:10) Networked Programs - Code Example: urllib1.py, urlwords.py ⌨️ (7:08:25) Networked Programs - Parsing HTML ⌨️ (7:14:48) Networked Programs - Code Example: urllinks.py ⌨️ (7:23:43) Using Web Services ⌨️ (7:26:35) Using Web Services - XML ⌨️ (7:32:02) Using Web Services - Code Example: xml1.py, xml2.py ⌨️ (7:37:40) Using Web Services - XML Schema ⌨️ (7:51:32) Using Web Services - JavaScipt Notation ⌨️ (7:57:45) Using Web Services - Code Example: json1.py, json2.py ⌨️ (8:03:08) Using Web Services - Service Oriented Approach ⌨️ (8:04:44) Using Web Services - Web Services ⌨️ (8:11:33) Using Web Services - Code Example: geojson.py ⌨️ (8:18:49) Using Web Services - API Security & Rate Limiting ⌨️ (8:28:45) Using Web Services - Code Example: twitter1.py, twitter2.py ⌨️ (8:48:01) Python Objects ⌨️ (8:58:28) Python Objects - Sample Code ⌨️ (9:06:50) Python Objects - Object Lifecycle ⌨️ (9:13:19) Python Objects - Inheritance ⌨️ (9:20:44) Databases ⌨️ (9:35:55) Databases - SQLite Browser ⌨️ (9:45:40) Databases - Code Sample: emaildb.py ⌨️ (9:58:55) Databases - Code Sample: twspider.py ⌨️ (10:08:06) Databases - Database Design ⌨️ (10:16:29) Databases - Representing Relationships ⌨️ (10:20:37) Databases - Relationship Building ⌨️ (10:33:05) Databases - Join Operation ⌨️ (10:43:13) Databases - Code Sample: tracks.py ⌨️ (10:57:45) Databases - Many-to-Many Relationships ⌨️ (11:09:37) Databases - Code Sample: roster.py ⌨️ (11:20:40) Databases - Code Sample: twspider.py ⌨️ (11:20:40) Data Visualization ⌨️ (11:48:18) Data Visualization - Code Sample: Geodata ⌨️ (12:01:05) Data Visualization - Page Rank ⌨️ (12:12:14) Data Visualization - Code Sample: Pagerank Spidering ⌨️ (12:29:12) Data Visualization - Code Sample: Pagerank Computation ⌨️ (12:44:17) Data Visualization - Code Sample: Pagerank Visualization ⌨️ (12:44:17) Data Visualization - Mailing List Crawl ⌨️ (12:57:08) Data Visualization - Code Sample: Gmane Data Retrieval ⌨️ (13:13:42) Data Visualization - Code Sample: Gmane Data Modeling ⌨️ (13:26:04) Data Visualization - Code Sample: Gmane Data Visualization This course was created by Dr. Charles Severance (a.k.a. Dr. Chuck). He is a Clinical Professor at the University of Michigan School of Information, where he teaches various technology-oriented courses including programming, database design, and Web development. "Python for Everybody" by Dr. Chuck Severance and the University of Michigan is licensed under CC BY.

AppSheet enables anyone to convert spreadsheets into mobile or web apps without writing a single line of code. In this video, learn how to create an app database that works with excel to streamline business operations.

To some beatboxing might seem hard or might look complex. I am here to break down the fundamentals of our instrument and show you just how easy it is to get started.

SPSS Statistics is a software package used for interactive, or batched, statistical analysis. Long produced by SPSS Inc., it was acquired by IBM in 2009. The current versions are named IBM SPSS Statistics. In this course, you will how to use SPSS for data analysis. Along the way you will learn about the following topic: Welcome - SPSS: An Introduction - 1.1 (0:00) Versions, Editions, & Modules - SPSS: An Introduction - 2.1 (2:33) Taking a Look - SPSS: An Introduction - 2.2 (8:10) Sample Data - SPSS: An Introduction - 2.3 (15:20) Graphboard Templates - SPSS: An Introduction - 3.1 (19:10) Bar Charts - SPSS: An Introduction - 3.2 (28:17) Histograms - SPSS: An Introduction - 3.3 (34:00) Scatterplots - SPSS: An Introduction - 3.4 (37:30) Frequencies - SPSS: An Introduction - 4.1 (44:30) Descriptives - SPSS: An Introduction - 4.2 (53:00) Explore - SPSS: An Introduction - 4.3 (1:1:00) Labels & Definitions - SPSS: An Introduction - 5.1 (1:12:00) Entering Data - SPSS: An Introduction - 5.2 (1:23:00) Importing Data - SPSS: An Introduction - 5.3 (1:26:00) Hierarchical Clustering - SPSS: An Introduction - 6.1 (1:37:00) Factor Analysis - SPSS: An Introduction - 6.2 (1:48:00) Regression - SPSS: An Introduction - 6.3 (2:3:00) Next Steps - SPSS: An Introduction - 7.1 (2:15:00)

Data Scientists and Data Analysts are some of the most sought-after jobs in the data world. Both share a lot of similar tools, but the type of work they do can be quite different - and the salaries reflect this! Let's look at some of the similarities between a Data Scientist and a Data Analyst and see which might be the best fit for you!

In this video, I'll give you a short introduction to Clip Studio Paint and how to set it up if you open it for the first time.

Learning Data Science is a complete tutorial course for absolute beginners. Data science is considered the "sexiest job of the 21st century." You'll learn the important elements of data science. You'll be introduced to the principles, practices, and tools that make data science the powerful medium for critical insight in business and research. You'll have a solid foundation for future learning and applications in your work. With data science, you can do what you want to do, and do it better. This course covers the foundations of data science, data sourcing, coding, mathematics, and statistics.

In this tutorial, I will show you how to paint the skin digitally and provide some tips on using colors and basic anatomy. Painting skin is something we all had difficulties with at one point but with the right technique, it doesn't have to be. By understanding some basic color theories, you can easily draw beautiful skins that look convincing.

I walk you through making a model using only a mouse so you too can make your own vtuber model using vroid! ▬▬▬ In this video ▬▬▬ 0:00 - Intro 02:36 - Model Interaction 02:59 - Face Editor 06:39 - Body Editor 09:43 - Clothing Editor 12:52 - Hair Editor 31:33 - Camera/Exporter 35:23 - General Editor 39:35 - Face Texture 50:05 - Hair Texture 51:20 - Clothing Texture 56:37 - Skin Texture

Capo: 1st fret (Verse 1:05) Am G C F I thought that I’ve been hurt before Am G C F But no one’s ever left me quite this sore Am G C F Your words cut deeper than a knife Am G F Now I need someone to breathe me back to life (Pre-Chorus - 2:50) F G Got a feeling that I’m going under Am G But I know that I’ll make it out alive F G If I quit calling you my lover Am Move on (Chorus - 4:37) Am G You watch me bleed until I can’t breathe C I’m shaking, falling onto my knees F Am G And now that I’m without your kisses C F I’ll be needing stitches Am I’m tripping over myself, G C I’m aching begging you to come help F Am G And now that I’m without your kisses C F I’ll be needing stitches (Verse 2 - 1:05) Am G C F Just like a moth drawn to a flame Am G C F Oh, you lured me in, I couldn’t sense the pain Am G C F Your bitter heart cold to the touch Am G Now I’m gonna reap what I sow C F I’m left seeing red on my own (Pre-Chorus 2 - 2:50) F G Got a feeling that I’m going under Am G But I know that I’ll make it out alive F G If I quit calling you my lover Am Move on (Chorus 2 - 4:37) Am G You watch me bleed until I can’t breathe C I’m shaking, falling onto my knees F Am G And now that I’m without your kisses C F I’ll be needing stitches Am I’m tripping over myself, G C I’m aching begging you to come help F Am G And now that I’m without your kisses C F I’ll be needing stitches (Bridge - 6:28) Am Needle and the thread, G Gotta get you out of my head C Needle and the thread, F Gonna wind up dead Am Needle and the thread, G Gotta get you out of my head C Needle and the thread, F Gonna wind up dead Am Needle and the thread, G Gotta get you out of my head C Needle and the thread, F Gonna wind up dead Am Needle and the thread, G Gotta get you out of my head, C F Get you out of my head (Chorus 3 - 4:37) (Outro) N.C. (And now that)I’m without your kisses N.C. I’ll be needing stitches N.C. (And now that)I’m without your kisses N.C. I’ll be needing stitches

Do you want to learn Figma but don’t know where to start? Well, if you follow this step-by-step tutorial, it will only take you 24 minutes to learn all the basics you need to know to start designing apps and websites in Figma.

Hello guys, in this video I will show you some of the magic tricks that will surely blow your mind.

In this video, I will show you how to draw a female face step by step using basic shapes and easy-to-understand guides. This video also covers who to draw eyes, nose, and mouth, although not in-depth, but it's beginner-friendly and it should be enough to kickstart your journey of drawing portraits. You can also apply these simple steps to how to draw male faces.

Hi, in this video I'm going to show to you the best magic tricks on America's Got Talent.

In this video, I going to discuss to you the latest apps that will pay you through PayPal and Payoneer, which means you can also withdraw from Payoneer to your local bank account. Watch the video for more details!

With the use of google translate, it is possible to earn a lot of money.

Here is one of the best performances by Noah Epps on America's Got Talent.

Here are the top 10 best apps that you could download and earn a lot of money!

No one on Earth knows how to reverse one of the most popular computer algorithms. Yet, it's really easy to compute one way. If you solve this mathematical problem, you can make billions of dollars, which is calculated 500 million times per second in the Bitcoin mining competition. SHA256 has some amazing features, can be used for digital signatures, cryptography, identity verification, and is a core part of the Bitcoin protocol.

Learn math, check homework, and study for upcoming tests with the most used math learning app in the world! Got tricky homework or class assignments? Get unstuck ASAP with our step-by-step explanations and animations.

Hi, in this video I'm going to show you how to earn $600 in 24 hours online by just reading emails.

Hi, in this video I'm going to show you the 7 easiest ways to earn money online using a laptop, an iPad, or a desktop computer.