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Spring Boot Unit Testing with JUnit, Mockito and MockMvc

Spring Boot Unit Testing with JUnit, Mockito and MockMvc
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.80 GB | Duration: 10h 4m



What you'll learn
Explore the architecture of the Spring Boot testing framework and write integration tests
Develop unit tests with JUnit
Mock Spring container dependencies using Mockito
Apply Test Driven Development (TDD) using JUnit, Mockito and Spring Boot
Test Spring Boot MVC web applications
Test Spring Boot REST APIs
Develop integration tests for Spring Data JPA
We are RESPONSIVE INSTRUCTORS ... post your questions and we will RESPOND in 24 hours.
Spring Boot developers with JUnit and Mockio testing are in HIGH-DEMAND. Level up your career!
You can DOWNLOAD all source code and PDFs. Perfect for offline LEARNING and REVIEW.
Requirements
Java
Spring Boot
Maven

Description
Spring Boot is the most popular framework for building enterprise Java applications. Spring Boot includes testing support to develop unit tests and integration tests using JUnit, Mockito and MockMvc. By developing tests, you can create applications with better code design, fewer bugs, and higher reliability. This course shows you how to take full advantage of Spring Boot's testing support.
You will also use modern development tools such as IntelliJ (free version) and Maven. All of the projects are based on Maven, so you are free to use any IDE tool that you want.
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In this course, you will get
- All source code is available for download
- Responsive Instructors: All questions answered within 24 hours
- PDFs of all lectures are available for download
- Professional video and audio recordings (check the free previews)
---
In this course, you will learn how to
JUnit
Develop JUnit Tests
Set up projects to use JUnit
Apply JUnit assertions: Equals/Not Equals and Null/NotNull
Apply JUnit assertions: Same/Not Same and True/False
Leverage JUnit lifecycle annotations
Define custom display names for JUnit tests
Check for exceptions and timeouts
Define execution order JUnit tests
Perform code coverage analysis for JUnit tests
Apply conditional JUnit tests
Test Driven Development (TDD)
Apply Test Driven Development for build tests and application code
Create a failing test first
Update your code to make the tests pass
Take your tests from RED to GREEN
Apply TDD to a coding project
Leverage parameterized tests with TDD
Spring Boot Unit Testing Support
Explore annotations for Spring Boot Unit Testing support
Apply the @SpringBootTest annotation
Read Spring Boot application properties and inject values using the @TestPropertySource annotation
Perform assertEquals and assertNotEquals
Leverage Spring Boot singleton beans and prototype beans
Mocking with Mockito
Identify the need for mocking during test development
Leverage Mockito in JUnit tests
Applying the @MockBean annotation for injection
Throwing exceptions with Mocks
Spring Reflection Utils
Identify use cases for applying reflection in your JUnit tests
Apply ReflectionTestUtils to access non-public fields and methods
Integrate Spring Reflection Utils in your JUnit tests
Database Integration Testing
Identify the need for database integration testing during test development
Add database setup and clean code using @BeforeEach and @AfterEach
Leverage an embedded database to ease with testing setup and maintenance.
External SQL statements using @Sql annotation
Testing Spring Boot MVC Web Apps with MockMvc
Apply Spring Boot using testing for a Spring MVC CRUD web app
Identify use cases for testing Spring MVC @Controller
Configure the JUnit test case using @AutoConfigureMockMvc
Inject the MockMvc dependency for testing Spring MVC Controllers
Send HTTP Requests to Spring MVC Controllers and assert the results
Assert the view name returned by the Spring MVC Controller
Assert model attributes for the desired values
Testing Spring Boot REST APIs with MockMvc
Apply Spring Boot using testing for a Spring REST CRUD API
Inject the MockMvc dependency for testing Spring MVC @RestController
Send HTTP Requests to Spring MVC @RestController and assert the results
Leverage Jackson Object Mapper to send JSON data to REST API endpoint
Expect successful response and desired content type
Apply JsonPath to verify contents of JSON response
Compared to other Spring Boot Unit Testing courses
This course is up to date and covers recent versions of Spring Boot.
We are very responsive instructors and we are available to answer your questions and help you work through any problems.
Finally, all source code is provided with the course along with setup instructions.
Quality Material
You will receive a quality course, with solid technical material and excellent audio and video production. I am a best-selling instructor on Udemy. Here's a list of my top courses.
Full Stack: Angular and Spring Boot E-Commerce Website
Spring and Hibernate for Beginners
Hibernate: Advanced Development Techniques
Deploy Java Spring Apps Online to Amazon Cloud (AWS)
JSP and Servlets for Beginners
JavaServer Faces (JSF) for Beginners
These courses have received rave 5 star reviews and over 500,000 students have taken the courses. Also, these courses are the most popular courses in their respective categories.
I also have an active YouTube channel where I post regular videos. In the past year, I've created over 800 video tutorials (public and private). My YouTube channel has over 6 million views and 38k subscribers. So I understand what works and what doesn't work for creating video tutorials.
No Risk - Money-Back Guarantee
Finally, there is no risk. You can preview 25% of the course for free. Once you purchase the course, if for some reason you are not happy with the course, Udemy offers a 30-day money back guarantee.
So you have nothing to lose, sign up for this course and learn how to apply Spring Boot Unit Testing
Target Audience
Java Developers with Spring Boot experience
Who this course is for
The course is appropriate for all Spring Boot developers.

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Complete Blender Creator Modelling To Render Total Beginners

Complete Blender Creator Modelling To Render Total Beginners
Published 04/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 44 lectures (9h 35m) | Size: 9.3 GB

Create from Modeling to Rendering, game assets, stylized props and house

​

What you'll learn
Use Blender and understand it's interface
Learn all the tools to create anything in 3D, and put it all into practice with step by step projects like modeling, shading, and rendering
Learn PBR texture and mix them to get even more interesting material
Learn UV map and unwrap all the Models you see in demo or intro
Project file and all assets, including grass, trees, barrel, textures and more
Lighting using Easy-HDRI & Blender lights
How to use graffiti and project them on models
How to mix tuxtures and paint them on a model (we use mouse for painting)
How to make cloth or flags
Requirements
Mac or PC capable of Running Blender Version 3.1 or above
You will learn all of the tools that will be needed for this course.
Description
Hello and welcome. You may all have experienced that creating 3d art can be really exciting but also confusing about where to start. that is why we've created complete beginners and intermediate guide to blender.
We will take you through modeling texturing lighting animating.
Specifically we start off in the first section just very basic, taking you through the fundamentals of blender and then we jump into next section where we do modeling and we will learn how to create simple models using a low poly technique. Here we create a interesting and fantasy 3d stylized house and its props. during this section you will learn all the tools and techniques that is necessary for creating easy and complex models.
in the next section will be getting a bit more complicated by creating a small collection of nature package. We explain how to create stylized tree by using particle system to spreed the leafs over the branches and how to model cool low poly barrel and plants.
in the next section we talk about Blender render engine & how to enable Easy-HDRI add-on for really basic lighting.
next section we will take you though the texturing presses. Here you learn Texturing, Texture painting, UV Mapping & UV Unwrapping from zero to hero.
Last section you will learn how to set up camera and take render animation.
As a part of this course, you get access to all of your amazing resources.
Who this course is for
Game Developers who wish to expand their Skill Set.
People who are curious about the world of 3D modeling and animation.
Artists who want to learn to bring their assets alive.
This course can be your expanded version of the Blender manual.

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Nick Peroni - One Product Profits

Nick Peroni - One Product Profits
MP4 | Video: 1920x1080 | Audio: AAC 44.1 Khz , 2ch | Duration: 26h 30 min | Language: English | 11.4 GB

What is One Product Profits?
One Product Profits is a 9-week training program with the goal of creating a one product store using our proven template, and getting it profitable in as short of time as possible by following a step by step roadmap from our million dollar case study store.
Note: the program is structured over 9 weeks, but you get instant access to everything as soon as you join.
Who is One Product Profits for?
Brand new online marketers
​People who want to build a side income
​People who want to create financial and/or location freedom with an online business
​Anyone who has tried ecommerce and failed
​People already selling that haven't scaled to 7-Figures with an online store
​Experience marketers that want a proven template to expand their business
Week 1: Intro and Product Selection
Our One Product Store Revealed! You get to see everything - the product, the store, and the ads. And we'll walk you through the complete system we'll be using together.
Proven Product Selection - This module will walk you through how we select proven products that can sell $1000K+ a day. We'll walk you through our product selection criteria, and give you our complete system for finding the right products to sell.
Week 2: Building Your One Product Brand
Create Your One Product Brand - Once you've selected your product, we'll show you how to build your store to look like a professional brand that people can trust. No tech skills required.
Proven Descriptions That Sell - Don't worry if you don't know how to write product descriptions. We'll give you our proven template to use, and show you exactly how to write a beautiful product description that converts!
Proven Descriptions Demo - Not only do we show you how we wrote the product description for our million dollar store, and give you a template- we'll also show you a live demo writing a product description for a new product.
Week 3: Pre-Launch!
Pre-Launch Store Setup - Now that your store is built, we'll show you how to make sure everything is optimized and ready to go for launching ads and getting sales!
Creating Your Ads - In this video we'll show you how to get your high converting video ad made (you can outsource this for $20-$40), how to write your ad copy, and how to create scroll-stopping thumbnails.
We'll even give you access to the same suppliers we use to sell thousands of orders per month, so you can fulfill your orders easily and efficiently, while saving money too!
Week 4: Launching Your Ads
Facebook Ads Overview - This is a beginner level Facebook Ads class that will help anyone who is brand new understand how the platform works and how to get set up.
Facebook Ads Testing - This is a series of videos where I will show you my exact testing strategy for your product. Not only will you get to see how I set up my ads for our store, but also how I monitor the data and make decisions over the first 3-5 days.
Fulfilling Orders - Now you have some sales! In this video we'll show you how to fulfill your orders with our recommended supplier for cheaper prices and faster shipping times.
Week 5: Ad Optimization and Scaling
Conversion Funnel - Now that you have traffic coming to your store, this module will show you how to optimize the performance of your ads and your store for higher conversions.
CBO Jump Method - Coming out of our testing phase, I'll show you how to identify a winning audience and move it into a CBO. This is how you scale to $1K days quickly!
CBO Campaigns - Using live ads that we are spending money on for our own store, I'll show you how I monitor CBO campaigns for performance and optimize them for profits. At this point, you'll already see how to get to $3K+ per day.
Custom Audiences and Retargeting - This is where the fun starts to happen. I'll show you how to create custom audiences from your visitors, and create retargeting campaigns that will maximize the amount of sales you make. You'll get to see basic and advanced retargeting strategies here.
Week 6: Business Operations
Keeping Track of Numbers - Not so fun, but super important. I'll show you a simple way to keep track of your numbers so you know how much you're making and can set proper goals.
Customer Service - This is one of the most important parts of the whole thing, that nobody talks about. Making money is great, but customer service is how you keep it. And with my strategies, you can automate the whole business.
Saying Thank You - Simple but effective strategy to keep your customers happy. I'll show you how to create thank you campaigns to increase the value of your brand.
Backup Account Protocol - This is ninja stuff here. I'll show you how to set up a backup ad account, just to make sure you're always safe and have all your data protected. Plus a way you can push more scale to your store. You need this strategy when scaling to big numbers.
Week 7: Scaling To $100K
$100K Month Overview - This super valuable video takes you inside the first month of our store when we scaled to over $100,000 in sales super fast. You'll see exactly how we did it.
Scaling With Lookalikes - Time to start scaling your store to bigger numbers! I'll show you how to create lookalike audiences, which open up a whole new world of opportunity to start testing more ads and creating more profits. You'll get my proprietary strategy that is basically like printing money!
Week 8: Scaling Past $100K
Adding Upsells - In this module I'll show you a ninja way to start making more money per customer by adding post-purchase upsells. You'll see what we sell and how to do it yourself.
Getting To $10K+ A Day - Now we start to hit the 5-figure days! I'll show you the exact strategy, the ads, and everything you can duplicate with your own ads to scale past $10K in a day.
Scaling With CBO - Now that you have CBO campaigns running on autopilot and bringing in sales every day, I'll show you how to scale them to higher budgets to start bringing in the moolah.
CBO Stack Campaigns - Advance ads strategy. This is something you won't find anywhere else cause I made it up. Using this strategy helped me blow past $20K a day!
CBO Target and Cost Cap - Advanced ads strategies. These are high budget strategies to use manual bidding when you want to scale as high as possible. I'll show you exactly how to implement them for big pay days.
Week 9: Million Dollar Brand
Branding and Custom Packaging - This is how you start the transition from dropshipping to real brand. You'll see how we improved our product and got custom packaging. And we'll show you how you can do the same for your's.
Getting To $20K+ A Day - See inside the ads, the budgets, the structure, and everything revealed to show you how we scale to $20K a day. And how you can follow my blueprint.
Scaling To A Million - The final video of the course shows you a complete walkthrough of how we scaled the store from 0 to 1 million in only 4 months. And shows you inside our best month at nearly $750K in sales.
Bonus 1: Million Views Video Ads
We'll show you exactly how to build your own high-converting video from scratch using free research methods and tools. This is the science to getting millions of views on your videos.
Just one video got us over 18 Million Views and made over $1.9 Million in sales!
Bonus 2: Google Ads Case Study
After we scaled with Facebook Ads, we started using Google. Just 2 of the campaigns I'll show you inside are making $10K per week in additional revenue with small, automated budgets.
I'll show you how to set up Google Analytics, Google Merchant Center, and use Google Ads to make more sales outside Facebook.

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Machine Learning in Python (2022)

Machine Learning in Python (2022)
Published 04/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 215 lectures (12h 45m) | Size: 6.6 GB

Learn model building, evaluation, algorithms, machine learning concepts, data science PLUS Python coding and libraries



What you'll learn
Define what Machine Learning does and its importance
Learn the different types of Descriptive Statistics
Apply and use Various Operations in Python
Explore the usage of Two Categories of Supervised Learning
Learn the difference of the Three Categories of Machine Learning
Understand the Role of Machine Learning
Explain the meaning of Probability and its importance
Define how Probability Process happen
Discuss the definition of Objectives and Data Gathering Step
Know the different concepts of Data Preparation and Data Exploratory Analysis Step
Define what is Supervised Learning
Differentiate Key Differences Between Supervised,Unsupervised,and Reinforced Learning
Explain the importance of Linear Regression
Learn the different types of Logistic Regression
Learn what is an Integrated Development Environment and its importance
Understand the factors why Developers use Integrated Development Environment
Learn the most important factors on How to Perform Addition operation and close Jupyter Notebook
Discuss Arithmetic Operation in Python
Identify the different Types of Built-in-Data Types in Python
Learn the most important considerations of Dictionaries-Built-in Data types
Explain the usage of Operations in Python and its importance
Understand the importance of Logical Operators
Define the different types of Controlled Statements
Be able to create and write a program to find maximum number
Differentiate the different types of range functions in Python
Explain what is Statistics, Probability and key concepts

Requirements
No technical knowledge or experience is required to get going in this course
A basic understanding of the importance of data science will be useful


Description
Get instant access to a 234-page Machine Learning workbook containing all the reference material

Over 12 hours of clear and concise step by step instructions, practical lessons and engagement

35 quizzes and knowledge checks at various stages to test your learning and confirm your growth

Introduce yourself to our community of students in this course and tell us your goals

Encouragement & celebration of your progress: 25%, 50%, 75% and then 100% when you get your certificate

This course will help you develop Machine Learning skills for solving real-life problems in the new digital world. Machine Learning combines computer science and statistics to analyze raw real-time data, identify trends, and make predictions. The participants will explore key techniques and tools to build Machine Learning solutions for businesses. You don't need to have any technical knowledge to learn this skill.

What will you learn

Define what Machine Learning does and its importance

Understand the Role of Machine Learning

Explain what is Statistics

Learn the different types of Descriptive Statistics

Explain the meaning of Probability and its importance

Define how Probability Process happens

Discuss the definition of Objectives and Data Gathering Step

Know the different concepts of Data Preparation and Data Exploratory Analysis Step

Define what is Supervised Learning

Differentiate Key Differences Between Supervised, Unsupervised, and Reinforced Learning

Learn the difference between the Three Categories of Machine Learning

Explore the usage of Two Categories of Supervised Learning

Explain the importance of Linear Regression

Learn the different types of Logistic Regression

Learn what is an Integrated Development Environment and its importance

Understand the factors why Developers use Integrated Development Environment

Learn the most important factors on How to Perform Addition operations and close the Jupyter Notebook

Apply and use Various Operations in Python

Discuss Arithmetic Operation in Python

Identify the different types of Built-in-Data Types in Python

Learn the most important considerations of Dictionaries-Built-in Data types

Explain the usage of Operations in Python and its importance

Understand the importance of Logical Operators

Define the different types of Controlled Statements

Be able to create and write a program to find the maximum number

...and more!

Contents and Overview

You'll start with the History of Machine Learning; Difference Between Traditional Programming and Machine Learning; What does Machine Learning do; Definition of Machine Learning; Apply Apple Sorting Example Experiences; Role of Machine Learning; Machine Learning Key Terms; Basic Terminologies of Statistics; Descriptive Statistics-Types of Statistics; Types of Descriptive Statistics; What is Inferential Statistics; What is Analysis and its types; Probability and Real-life Examples; How Probability is a Process; Views of Probability; Base Theory of Probability.

Then you will learn about Defining Objectives and Data Gathering Step; Data Preparation and Data Exploratory Analysis Step; Building a Machine Learning Model and Model Evaluation; Prediction Step in the Machine Learning Process; How can a machine solve a problem-Lecture overview; What is Supervised Learning; What is Unsupervised Learning; What is Reinforced Learning; Key Differences Between Supervised,Unsupervised and Reinforced Learning; Three Categories of Machine Learning; What is Regression, Classification and Clustering; Two Categories of Supervised Learning; Category of Unsupervised Learning; Comparison of Regression , Classification and Clustering; What is Linear Regression; Advantages and Disadvantages of Linear Regression; Limitations of Linear Regression; What is Logistic Regression; Comparison of Linear Regression and Logistic Regression; Types of Logistic Regression; Advantages and Disadvantages of Logistic Regression; Limitations of Logistic Regression; What is Decision tree and its importance in Machine learning; Advantages and Disadvantages of Decision Tree.

We will also cover What is Integrated Development Environment; Parts of Integrated Development Environment; Why Developers Use Integrated Development Environment; Which IDE is used for Machine Learning; What are Open Source IDE; What is Python; Best IDE for Machine Learning along with Python; Anaconda Distribution Platform and Jupyter IDE; Three Important Tabs in Jupyter; Creating new Folder and Notebook in Jupyter; Creating Three Variables in Notebook; How to Check Available Variables in Notebook; How to Perform Addition operation and Close Jupyter Notebook; How to Avoid Errors in Jupyter Notebook; History of Python; Applications of Python; What is Variable-Fundamentals of Python; Rules for Naming Variables in Python; DataTypes in Python; Arithmetic Operation in Python; Various Operations in Python; Comparison Operation in Python; Logical Operations in Python; Identity Operation in Python; Membership Operation in Python; Bitwise Operation in Python; Data Types in Python; Operators in Python; Control Statements in Python; Libraries in Python; Libraries in Python; What is Scipy library; What is Pandas Library; What is Statsmodel and its features;

This course will also tackle Data Visualisation & Scikit Learn; What is Data Visualization; Matplotib Library; Seaborn Library; Scikit-learn Library; What is Dataset; Components of Dataset; Data Collection & Preparation; What is Meant by Data Collection; Understanding Data; Exploratory Data Analysis; Methods of Exploratory Data Analysis; Data Pre-Processing; Categorical Variables; Data Pre-processing Techniques.

This course will also discuss What is Linear Regression and its Use Case; Dataset For Linear Regression; Import library and Load Data set- steps of linear regression; Remove the Index Column-Steps of Linear Regression; Exploring Relationship between Predictors and Response; Pairplot method explanation; Corr and Heatmap method explanation; Creating Simple Linear Regression Model; Interpreting Model Coefficients; Making Predictions with our Model; Model Evaluation Metric; Implementation of Linear Regression-lecture overview; Uploading the Dataset in Jupyter Notebook; Importing Libraries and Load Dataset into Dataframe; Remove the Index Column; Exploratory Analysis -relation of predictor and response; Creation of Linear Regression Model; Model Coefficients; Making Predictions; Evaluation of Model Performance.

Next, you will learn about Model Evaluation Metrics and Logistic Regression - Diabetes Model.

Who are the Instructors?

Samidha Kurle from Digital Regenesys is your lead instructor - a professional making a living from her teaching skills with expertise in Machine Learning. She has joined with content creator Peter Alkema to bring you this amazing new course.

You'll get premium support and feedback to help you become more confident with finance!

Our happiness guarantee...

We have a 30-day 100% money-back guarantee, so if you aren't happy with your purchase, we will refund your course - no questions asked!

We can't wait to see you on the course!

Enrol now, and master Machine Learning!

Peter and Samidha

Who this course is for
Anyone interested in the field of Machine Learning and key concepts
People who want to understand ML and build models in Python

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Python TkInter from Beginner to Winner

Python TkInter from Beginner to Winner
Published 04/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 50 lectures (8h 59m) | Size: 7.2 GB

Master Python TkInter Build Desktop Apps and Make Your Dreams True

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What you'll learn
Take the most out of TkInter to make your dream desktop apps come into life!
Plan, project and make GUI Apps with Python and TkInter from ZERO!
Use a variety of graphical elements from TkInter, known as widgets: Label, Entry, Text, Spinbox, Button, LabelFrame, and more!
Evolve your abstract thinking in such a way you can make any complex TkInter App by stripping it into smaller challenges!
Tips and tricks to take advantage of the tools you have at your disposal, such as Visual Studio Code and its extensions.
Best practices for coding as taught by a Software Engineer with years of experience in several programming languages!
Requirements
You should have a basic understanding of Python or other programming language. An understanding of variables, conditional statements (if else), loop statements (while, for), a little bit of Object Oriented Programming (classes and inheritance) is a plus! However, I will reinforce some concepts several times!
You need a computer with Windows 10 or later.
You need Python 3.8.x or later.
It is recommended, not mandatory, Visual Studio Code to edit the code!
It is NOT recommended developing on a mobile device, you want to be a professional and/or develop your path to success right?
Description
Welcome to Python TkInter from Beginner to Winner! A great course on building Desktop Apps!
Together we will learn, explore and have fun taking the most out of Python and TkInter! We will create great and useful apps.
I invite you not only to master TkInter but also learn how to think, how to design and structure your code, how to take advantage of several tools to do it faster, better and clean, like a professional!
First we will focus on creating apps like a calculator or a products stock manager... we will have opportunity to play with many widgets like Frames, Labels, Buttons, Spinboxes, LabelFrames, etc. Also we will use three Layout Managers to position our widgets: grid, pack and place.
Than as bonus we will integrate some of those apps with numerous technologies... We will use databases, we will interact with Web APIs, we will generate documents like PDFs and Docx!
Our imagination is the limit!
My name is Hugo Ferro, I started my programming journey back in 1996 when I got my first computer at age 12... That box changed my life! I became a Software Engineer with experience in a wide range of technologies...
Your journey starts now! I'm your teacher, I'm your partner in this great adventure that is learning!
The first 10 lectures of this course (1h41m), in section "My Products Stock Manager", are FREE for you to evaluate! What you're waiting for?
Thank you for your time, see you in the course
Who this course is for
Beginner to intermediate developer interested in creating his/her own Desktop Apps!
Everyone who wants to create tools to excel his/her work.
Anyone who aims to deepen their knowledge of programming, develop their thinking, learn how to structure their code will be welcome!

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Coding Masterclass - Learn Great Coding

Coding Masterclass - Learn Great Coding
Published 04/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 167 lectures (23h 11m) | Size: 8.6 GB

The Coding Course Which Covers Game Development with Scratch 3.0, Kodu Game Lab and Coding Fundamentals

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What you'll learn
You will learn how to create programs, make games and solve programming problems.
Understand all the fundamental programming principles.
Understand complex programming topics.
Learn to use coding to develop games!
Requirements
You will not need any any prior knowledge - so get started now!
You should be committed to run through the course and become knowledgeable about the magic world of coding.
Nothing else! It's just you, your computer and your hunger to get started today!
Description
* THIS COURSE COVERS GAME DEVELOPMENT IN SCRATCH 3.0, KODU AND CODING PRINCIPLES TO FILL THE GAP BETWEEN SCRATCH 3.0 AND REAL CODING *
In this course you will be able to develop games in Scratch 3.0 programming language and 3D games in Kodu Game Lab. For the development of these games, is used Scratch 3.0 and Kodu Game Lab because they are educational programming environments that have an easy graphical interface that it will allow us to drag and drop the right blocks of coding.
I promise you that it will be a funny and exciting course that it will motivate you to learn coding in more depth.
Scratch 3.0 is a free programming language and online community where you can create your own interactive stories, games, and animations. Using Scratch, users can create online projects and develop them into almost anything by using a simple block-like interface. When they are ready, they then share, and also discuss their creations with each other. Scratch 3.0 was developed by the Lifelong Kindergarten group at the MIT Media Lab. Scratch 3.0 is designed to help children (ages 8 and up) learn to utilize their imaginations, practice common sense, and, most importantly, to interact with computers.
From Game Development with Scratch and Kodu Game Lab to Real coding with Python
Block #1: Basic Concepts
Objectives covered by the block
fundamental concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
literals: Boolean, integer, floating-point numbers, scientific notation, strings
comments
the print() function
the input() function
numeral systems (binary, octal, decimal, hexadecimal)
numeric operators: ** * / % // + -
string operators: * +
assignments and shortcut operators
Block #2: Data Types, Evaluations, and Basic I/O Operations
Objectives covered by the block
operators: unary and binary, priorities and binding
bitwise operators: ~ & ^ | << >>
Boolean operators: not and or
Boolean expressions
relational operators ( == != > >= < <= ), building complex Boolean expressions
accuracy of floating-point numbers
basic input and output operations using the input(), print(), int(), float(), str(), len() functions
formatting print() output with end= and sep= arguments
type casting
basic calculations
simple strings: constructing, assigning, indexing, immutability
Block #3: Flow Control - loops and conditional blocks
Objectives covered by the block
conditional statements: if, if-else, if-elif, if-elif-else
multiple conditional statements
the pass instruction
building loops: while, for, range(), in
iterating through sequences
expanding loops: while-else, for-else
nesting loops and conditional statements
controlling loop execution: break, continue
Block #4: Data Collections - Lists, Tuples, and Dictionaries
Objectives covered by the block (7 items)
simple lists: constructing vectors, indexing and slicing, the len() function
lists in detail: indexing, slicing, basic methods (append(), insert(), index()) and functions (len(), sorted(), etc.), del instruction, iterating lists with the for loop, initializing, in and not in operators, list comprehension, copying and cloning
lists in lists: matrices and cubes
tuples: indexing, slicing, building, immutability
tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
dictionaries: building, indexing, adding and removing keys, iterating through dictionaries as well as their keys and values, checking key existence, keys(), items() and values() methods
strings in detail: escaping using the \ character, quotes and apostrophes inside strings, multiline strings, basic string functions.
Block #5: Functions (20%)
Objectives covered by the block (6 items)
defining and invoking your own functions and generators
return and yield keywords, returning results,
the None keyword,
recursion
parameters vs. arguments,
positional keyword and mixed argument passing,
default parameter values
converting generator objects into lists using the list() function
name scopes, name hiding (shadowing), the global keyword
So What Are You Waiting For?
Enroll Today!
Who this course is for
Anyone who wants to learn to code easily by creating a game.
Beginners who have never programmed before in Scratch.
Students that want to learn difficult programming concepts by having fun using their creativity.

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How to Draw (Simplified) Superhero Anatomy For Comic Book Artists and more!

How to Draw (Simplified) Superhero Anatomy For Comic Book Artists and more!
Duration: 8h 29m | Video: .MP4, 1280x720, 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 5.13 GB
Genre: eLearning | Language: English

Greetings fellow artist!
Have you been drawing since you can remember, but still seem to struggle when it comes sketching anatomy?*That's how it was for me. No matter how much I learned and practice, there was always something in my art that just seemed a bit off. I was frustrated to say the least and back then, almost to the point of giving up. Fortunately, my love for comics and drawing was too strong for that and I*kept going. And going.
Over a decade later and thousands of hours of relentless practice and studying under some of my favorite artists, some of who eventually became my mentors, I*finally broke through.
And you can too...
Welcome to my new course "How to Draw (Simplified) Superhero Anatomy" - Male*Where you will learn to draw better anatomy, faster and become more intuitive and confident with your anatomy sketching skills.
I designed this course for anyone seeking to noticeably improve their current ability to draw superhero anatomy in an easy to grasp, simplistic kind of way, without getting unnecessarily caught up and bogged down with all the complicated terms. If my guess is correct, you've probably already studied enough anatomy books and charts to practically become a doctor!
About this Course
This course is about applying what you are learning in real-time.
Over 8 hours and 30 plus of On Demand video streaming, Sketch Templates and more
This is not a typical anatomy course full of redundant and complicated terminology or memorizing the Latin names.
You will not be just listening to monotonous lectures and watching slides.
This course was meticulously designed to help you improve your understanding of Superhero Anatomy in a Simple way
This is a "No Nonsense" course. I am all about getting results and I believe that if you follow the course outline and stick with it... You. Will. Get. Results.
Here are just few things you'll learn in this course:
What does simplified mean when it comes to Art - And why it helps
Superhero Anatomy and Proportions - Thinking with and understanding shapes
How to quickly Break Down your sketches
Quick Gestures - Show energy and add life to your poses
Dynamic Poses - The right poses can catch any eye
Heads and Faces - Expressions and mood
Drawing from reference - How to spot the shapes and capture the pose
Pro Techniques - I've picked up from my mentors
Preventing Stiffness and Low Energy poses - No more stiffness in your Sketches
Composition & Layout and Design
And much, much more
By the end of this course you'll be able to quickly analyze, recognize and confidently draw what was previously one of the most difficult and bewildering areas to understand. Superhero Anatomy.
I'll be teaching you with a method I learned throughout my career as an artist that I refer to as "simplified layouts" which focuses more on simple shapes and nuances that lead to a great finished sketch. This method yields results and FAST.
Not only will we cover the details and application of this technique, but I'll also be practicing it with you.
That's right, this isn't just a point and talk course, I'll personally be in the trenches showing you in real-time how I do it while explaining the process at the same time. Together, I'll walk you through the entire process, step by step.
Lastly, this is what I like to call and "On Demand" course, where I will be continually adding more content based on your needs - I truly believe that learning is a nonstop endeavor and I really want you to get the most out of this. This course is for you and about you.
The Ideal student for this course, is someone who has a sincere passion for art and really wants to improve and grow their skillset and confidence as an artist. You could be an aspiring comic book artist, storyboard, animation, video game or character design artist . or maybe you haven't quite picked your field yet, but you know this is something you really feel fired up about and you just can't get enough of it. The only thing that matters to me is that you are ready and willing to commit to your Craft... the rest is just about showing up.
Aside from having the basic ability to sketch, There are no requirements needed to enroll - just be open minded, ready to learn and most importantly, willing to put in the practice. I'll be here rooting for you!
Feel free to look through the course description and I look forward to seeing you inside!
Mike Van Orden

Homepage

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iOS Foundations: SwiftUI

iOS Foundations: SwiftUI
Video: .mp4, 1920x1080 | Audio: AAC, 48 kHz, 2ch | Size: 8.14 GB
Genre: eLearning | Language: English | Duration: 23hr 16m

This course takes you through building 4 apps of increasing difficulty and you'll learn new skills with each.
By the end of this course, you'll be able to build multi-screened, data powered apps.
That means you'll know how to confidently build apps that fetch data from a source, like an API, a data feed or your own file, and display that information to the user (Apps like weather apps, stats apps, information apps etc.)

Homepage

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SDET C# Test Automation From Scratch

SDET C# Test Automation From Scratch
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 6.70 GB | Duration: 19h 14m



What you'll learn
Automation Testing
Selenium Webdriver from Basics to Advanced Level
Learn best practices from true programmers
Learn how to write scalable, readable and maintainable clean code
You will learn source code of the tutor. All homework is completed with the Trainer
Visual Studio
NUnit 3
Selenium basics
Selenium in C#
Selenium Waits
Page Object concept
Web Component concept
Data Transfer Object concept
Postman basics
API baiscs
REST API
RESTful Web Services
HTTP methods
HTTP status codes
JSON schemas
API testing
RestSharp from basics to advanced
Requirements
No programming experience needed. You will learn everything you need to know.

Description
From this course, you can learn how to become Software Development Engineer in Test and get all the necessary practical skills.
There are a lot of other courses on this topic. So, why would you choose exactly this course? Here are just a few reasons
- Coding examples
To learn to program is not enough just watching videos and reading books. You also need to have a lot of practice. In this training course, you will review multiple practical tasks and coding examples which will help you learn and understand C# better.
- Open source code
We hide nothing from our students! Including the source code for the home task solutions and source code of examples that were shared during the lesson. Having the source code you can just copy and paste it to run it on your local computer to understand how things work better.
You are allowed to use all source code examples for learning purposes. This helps significantly to configure the environment and make tests work, especially in case students didn't work with any testing framework in the past.
- Q&A support
The significant difference between the online and offline learning process is the instructor's availability. If you are in one room with a tutor he always can help you to get understand the specific concept or to help fix your code on your computer.
In this course, we are supporting students with answers to any questions flagged in the Q&A section. In case there will be recurring questions - separate video lessons will be created to show how to address the issue.
So with this course you are not just getting video materials, code exercises, source code, access to the free mobile application without limits (which is still pretty cool, huh? ), but you also get tutor support and answers to your questions along with this course.
- Relevant knowledge
After our team investigated other C# courses on Udemy we realized that most of them have nothing in common with real life. The information which is shared there is very old and significantly out of date. For example, the instructor teaches a framework which is not been used already for 15 years. Or instructors do stress on the programming design which is not used anymore at all!
The instructor of this course is a consultant in a top-rated IT outsourcing company and helps to bring cutting-edge solutions in IT for all his clients. Feel free to check the LinkedIn page of the instructor and check skills endorsement. More than 19 thousand people across all over the world (BTW most of them are from the top 100 companies of the world) evaluated the skills of Andrii Piatakha.
With this course, you can be sure that you will spend your time learning the right things from one of the best IT consultants in the world.
- Free mobile App without limits for our students
Knowing C# is one skill. Be able to pass interviews in the company - that is another skill Nowadays a lot of companies use tests to select candidates on the first level of interview. We developed applications to practice skills specifically for such purposes.
In this course, we will provide you link to download our FREE mobile app for android. (soon it will be also available for iOS platforms)
The instructor of this course comes up with hundreds of tests that are used to test the knowledge of candidates. With this application, you will be well-prepared for the interview.
Also, only for our students - there is no limit on attempts to pass certification. In the course, we will tell you how to set up a special bonus code that will remove restrictions for our students inside the app.
- High concentration of useful material in each lesson
Sometimes you can notice that watching 5 minutes of our lesson is equivalent to watching another 30 minutes lesson.
This is because time spent for preparation for the lesson (script for the lesson, lesson structure) and video editing (to cut boring pieces of the lesson or time when the program loads) sometimes 10 times as much (sometimes even 20) as the final lesson duration after video editing.
Also, each topic is separated from another. In case some concept will be explained in the next lesson and you don't need to worry about understanding this in the scope of this lesson - the instructor will make an announcement when a specific topic will be covered.
Go and try it yourself! We will appreciate your feedback.
So don't wait! Take a look at the lessons' preview if you still have doubts!
Buy this course today, and you will get all updates for FREE!
For those who successfully passed this training course, or for students who were recognized for asking amazing questions, there is a special offer from the IT-Bulls company! The creator of this course is IT-Bulls company CEO and Founder. We are always in search of talents to run our amazing startups together with you. Probably you always dreamed about running your startup? In this course, you will be able to find the team who will teach you how to do that and (in particular cases) will be glad to help with implementation!
Hope you enjoy this course! And remember, we appreciate all your feedback! Your feedback will help us to become even better! Your feedback will help us to create to best C# course ever!
See you at the lessons!
Who this course is for
Test Automation Engineers who want improve their skills to become SDET
People who want to learn Automation Testing from scratch to advanced level

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Programming Techniques using Core Python

Programming Techniques using Core Python
Updated 04/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 161 lectures (10h 44m) | Size: 5.5 GB

Have fun with python programming

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What you'll learn
No programming experience needed
Requirements
No programming experience needed
Description
This course is specially designed for those learners looking to switch to python language by learning all the concepts in a simplified manner which will be aided by topic-by-topic explanation. The main objective of designing this course is to clear the concepts from basic to advanced levels of learning python for beginners in a very simple way. This course has all the details and basic needs that a python programmer should know. A learner can understand very easily and practice it to sharpen their skills so that they can cement their position in this area in various multinational companies. The level of the course is up to the mark and it is guaranteed that the learners will no longer be requiring any other course for learning the concepts. The learner's confidence will be at the highest level after going through this course and we assure you that all the minute details have been taken into consideration while delivering the contents. So polish your career and get acquainted with yourself by learning and doing practice on python programming. The highlighted score of this course is the coverage of the basics of python, python decision-making and flow control, and python functions. The learners will also get the opportunity to practice objective questions for preparing for different certification exams.
Who this course is for
A must for python seekers, beginners and professionals who wants to learn python. Covered basics of python in much detailed manner.

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3ds Max 2023 for Beginners

3ds Max 2023 for Beginners
Published 04/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 38 lectures (17h 22m) | Size: 12.8 GB

This course is for complete beginners interested in learning Autodesk 3ds Max

​

What you'll learn
Modelling a Vehicle
Unwrap and Texturing
Lighting and Scene Setup
Render Using Arnold Renderer
Requirements
You should have Autodesk 3ds Max version 2023 or above installed on your computer.
Description
Do you want to know 3ds max and create your 3d models with this powerful tool?
Then I welcome you to Nexttut education's Autodesk 3ds Max for Beginners.
WHY SHOULD YOU LEARN FROM ME
My name is Hamid Reza Afshari and I'll be your instructor in Autodesk 3ds Max for Beginners course
BENEFITS : By the end of this course
You'll be able to Work with Autodesk 3ds Max
Make various 3d contents
Render using Arnold renderer
WHAT WILL I LEARN
Autodesk 3ds Max interface and navigation
Making complex shapes inside Autodesk 3ds Max
Render using Arnold renderer
COURSE PROJECTS
We will start by knowing the Autodesk 3ds Max UI and navigation.
In chapter two, We will start making our model using basic box modelling Techniques.
In chapter three. we will be using more advanced box modelling Techniques.
In chapter four, we learn how to use Boolean for modelling.
In chapter five, we learn how to use splines inside 3ds Max.
In chapter six, we learn how to unwrap using two Techniques.
Finally, In chapter seven, we learn how to make materials, lights and render the scene.
IS THIS COURSE RIGHT FOR ME
This course is designed for absolute Autodesk 3ds Max beginners,
WHAT SHOULD I KNOW OR HAVE FOR THE COURSE
You should have Autodesk 3ds Max version 2023 or above installed on your computer.
JOIN ME NOW
Join me and learn how to use Autodesk 3ds Max and make awesome 3d assets.
Who this course is for
This course is designed for absolute Autodesk 3ds Max beginners.

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Master Deep Learning for Computer Vision with TensorFlow 2

Master Deep Learning for Computer Vision with TensorFlow 2
Published 04/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 103 lectures (29h 4m) | Size: 12 GB

Implement Object detection, Image Segmentation, Image Classification, Image Generation & People Counting from scratch!

​

What you'll learn
Introductory Python, to more advanced concepts like Object Oriented Programming, decorators, generators, and even specialized libraries like Numpy & Matplotlib
Mastery of the fundamentals of Machine Learning and The Machine Learning Developmment Lifecycle.
Linear Regression, Logistic Regression and Neural Networks built from scratch.
TensorFlow installation, Basics and training neural networks with TensorFlow 2.
Convolutional Neural Networks, Modern ConvNets, training object recognition models with TensorFlow 2.
Breast Cancer detection, people counting, object detection with yolo and image segmentation
Generative Adversarial neural networks from scratch and image generation
Requirements
Basic Math
No Programming experience.
Description
In this course, we shall look at core Deep Learning concepts and apply our knowledge to solve real world problems in Computer Vision using the Python Programming Language and TensorFlow 2. We shall explain core Machine Learning topics like Linear Regression, Logistic Regression, Multi-class classification and Neural Networks. If you've gotten to this point, it means you are interested in mastering Deep Learning For Computer Vision and using your skills to solve practical problems.
You may already have some knowledge on Machine learning, computer vision or Deep Learning, or you may be coming in contact with Deep Learning for the very first time. It doesn't matter from which end you come from, because at the end of this course, you shall be an expert with much hands-on experience.
You shall work on several projects like object detection, image generation, object counting, object recognition, disease detection, image segmentation and more, using knowledge gained from this course.
If you are willing to move a step further in your career, this course is destined for you and we are super excited to help achieve your goals!
This course is offered to you by Neuralearn. And just like every other course by Neuralearn, we lay much emphasis on feedback. Your reviews and questions in the forum, will help us better this course. Feel free to ask as many questions as possible on the forum. We do our very best to reply in the shortest possible time.
Here are the different concepts you'll master after completing this course.
Fundamentals Machine Learning.
Essential Python Programming
Choosing Machine Model based on task
Error sanctioning
Linear Regression
Logistic Regression
Multi-class Regression
Neural Networks
Training and optimization
Performance Measurement
Validation and Testing
Building Machine Learning models from scratch in python.
Overfitting and Underfitting
Shuffling
Ensembling
Weight initialization
Data imbalance
Learning rate decay
Normalization
Hyperparameter tuning
TensorFlow Installation
Training neural networks with TensorFlow 2
Imagenet training with TensorFlow
Convolutional Neural Networks
VGGNets
ResNets
InceptionNets
MobileNets
EfficientNets
Transfer Learning and FineTuning
Data Augmentation
Callbacks
Monitoring with Tensorboard
Breast cancer detection
Object detection with YOLO
Image segmentation with UNETs
People counting
Generative modeling with GANs
Image generation
YOU'LL ALSO GET
Lifetime access to This Course
Friendly and Prompt support in the Q&A section
Udemy Certificate of Completion available for download
30-day money back guarantee
Who this course is for
Beginner Python Developers curious about Applying Deep Learning for Computer vision
Computer Vision practitioners who want to learn how state of art computer vision models are built and trained using deep learning.
Anyone who wants to master deep learning fundamentals and also practice deep learning for computer vision using best practices in TensorFlow.
Deep Learning for Computer vision Practitioners who want gain a mastery of how things work under the hood.
ENjoy!!!
Who this course is for
Beginner Python Developers curious about Applying Deep Learning for Computer vision
Deep Learning for Computer vision Practitioners who want gain a mastery of how things work under the hood
Anyone who wants to master deep learning fundamentals and also practice deep learning for computer vision using best practices in TensorFlow.
Computer Vision practitioners who want to learn how state of art computer vision models are built and trained using deep learning.

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