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[mitsumi1]

Testng Complete Guide: Mastering Test Automation With Testng
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 735.45 MB | Duration: 1h 23m

Comprehensive TestNG Course for Software Testing Professionals for Test Automation Framework

What you'll learn
Gain a strong foundation in TestNG: Understand the core concepts, annotations, and configurations of TestNG.
TestNG configurations and parallel test execution: Learn how to configure TestNG to run tests in parallel and maximize test execution efficiency.
Data-driven testing with TestNG: Explore the techniques of data-driven testing using TestNG's built-in data providers and custom data sources.
TestNG listeners and reporting: Discover how to utilize TestNG listeners to extend test execution behavior and generate comprehensive test reports.
Advanced TestNG features: Dive deep into advanced features such as test priorities, test groups, dependency management, and test data manipulation.
TestNG integration with other frameworks: Learn how to integrate TestNG with popular frameworks like Selenium WebDriver and JUnit.
Best practices and tips for effective test automation: Understand industry best practices and gain valuable tips for working with TestNg
Requirements
Basic understanding of Java programming language.
Familiarity with software testing concepts and terminology.
Some experience with test automation frameworks (e.g., Selenium WebDriver)
Description
Join this comprehensive TestNG course designed for both beginners and experienced testers to enhance their testing skills and improve test automation efficiency. TestNG is a powerful testing framework widely used in the industry for writing and executing automated tests. In this course, you will learn everything you need to know about TestNG, from the fundamentals to advanced techniques.Master the powerful TestNG framework and take your test automation skills to the next level with this comprehensive course. Whether you're a seasoned software tester or a QA professional looking to enhance your automation abilities, this course will equip you with advanced TestNG techniques and best practices that can be applied to any Java-based test automation project.In this course, you will learn how to harness the full potential of TestNG to design, execute, and manage robust test suites efficiently. Through practical examples and hands-on exercises, you'll explore a wide range of TestNG features and concepts, including test configuration, test execution control, parameterization, data-driven testing, grouping and prioritizing tests, reporting, and more.By the end of this course, you will have a solid understanding of TestNG's capabilities and be able to leverage its powerful features to build maintainable, scalable, and reliable test automation frameworks. Whether you work in Agile or traditional software development environments, the skills you gain in this course will help you optimize your testing efforts and deliver high-quality software with confidence.
Overview
Section 1: Introduction
Lecture 1 Introduction: Starting with TestNg
Lecture 2 Writing our First TestNg Test
Section 2: Assertions in TestNg
Lecture 3 Hard Assertion
Lecture 4 Soft Assertion
Section 3: Basic Annotations in testNg
Lecture 5 Before Method and After Method
Lecture 6 Before Class and After Class
Section 4: Managing tests using TestNg XML files
Lecture 7 Creating TestNg XML File
Lecture 8 Include and Exclude Tests
Section 5: More TestNg Annotation concepts
Lecture 9 Before Test and After Test
Lecture 10 Before Suite and After Suite
Section 6: Running TestNg Tests in Parallel
Lecture 11 Parallel
Software testers and quality assurance professionals looking to enhance their test automation skills.,Automation engineers who want to leverage TestNG for building robust test frameworks.,Developers involved in test automation projects who wish to learn TestNG for more effective testing.,Students and professionals aspiring to start a career in software testing or test automation.

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[mitsumi1]

The Google Data Analyst'S Toolkit: Beginner'S Crash Course
Last updated 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 833.88 MB | Duration: 1h 44m

Mastering Data Analysis: Google Sheets, Google Colab, Google Data Studio, Google Apps Script, Data Storytelling

What you'll learn
Use various Google tools and platforms for data analysis, visualization, and communication.
Use Google Sheets for data analysis, including importing and manipulating data, creating pivot tables, using formulas and functions, and presenting data.
Use Google Colab, a cloud-based platform for Python programming, for data manipulation, analysis, and visualization.
Use Google Data Studio (Looker) to create reports and dashboards, connect data sources, customize visualizations, and use advanced techniques to analyze data.
Use Google Apps Script, a scripting language for automating and extending the functionality of various Google products.
Use Google tools and platforms for data analysis and communication, from basic data manipulation to advanced visualization and automation techniques.
Apply skills to real-world data analysis and communication scenarios.
Requirements
Basic computer literacy, including knowledge of how to use a keyboard and mouse, navigate the internet, and manage files and folders.
Familiarity with the software or tools used in the course.
A fundamental understanding of the course subject matter.
Access to required equipment, such as a computer or internet connection.
Description
In this comprehensive course, you will learn how to leverage Google's powerful suite of tools to improve your data analysis skills and become a more effective data analyst.We will start with an introduction to Google Sheets, where you'll learn the basics of the interface and how to set up your data for analysis. Then we will move on to Google Colab, where you'll discover how to use this powerful tool to write and execute Python code in a browser-based environment.Next, we will dive into Google Data Studio (Looker), a data visualization tool that allows you to create interactive reports and dashboards to communicate insights from your data. You'll learn best practices for report and dashboard design, how to add interactive features to your reports, and how to customize visualizations to tell a compelling data story.We'll also cover Google Apps Script, which will teach you how to automate repetitive tasks and streamline your workflow using custom scripts and add-ons.Finally, we will explore the art of data storytelling, where you'll learn how to effectively communicate your data insights to your audience and make a meaningful impact with your analysis.By the end of this course, you'll have a complete toolkit of Google products and skills to become a proficient data analyst and enhance your ability to make data-driven decisions.Module 1 Description:In this module, you will learn how to use Google Sheets as a powerful tool for data analysis. Google Sheets offers a wide range of functions and features that can help you manipulate and analyze data more efficiently. Whether you are new to data analysis or looking to expand your skills, this module will provide you with a strong foundation in using Google Sheets for data analysis. You will learn how to import and manipulate data, create pivot tables, and use formulas and functions to analyze data. You will also learn best practices for organizing and presenting data in a clear and effective manner.Module Outline:Lesson 1: Introduction to Google SheetsLesson 2: Importing and Manipulating DataLesson 3: Creating Pivot TablesLesson 4: Formulas and FunctionsLesson 5: Data Visualization and PresentationLesson 6: Advanced Techniques and TipsModule Goals:Understand the basics of using Google Sheets for data analysisLearn how to import and manipulate data effectivelyMaster the use of Pivot Tables for data analysisUnderstand formulas and functions and use them effectively for data analysisCreate clear and effective data visualizations and presentationsLearn advanced techniques and tips for using Google Sheets more efficiently and troubleshooting common issues.Module 2 Description:Google Colab is a free, cloud-based platform that allows users to write and execute Python code in a collaborative environment. It is becoming increasingly popular among data analysts and data scientists for its ability to perform complex tasks using a web browser. In this module, you will learn how to use Google Colab to manipulate, analyze, and visualize data in a collaborative environment.Module Outline:Lesson 1: Introduction to Google ColabLesson 2: Getting Started with Google ColabLesson 3: Data Manipulation in Google ColabLesson 4: Data Analysis and Visualization in Google ColabLesson 5: Advanced Techniques in Google ColabModule Goals:Understand the key features and benefits of Google ColabSet up and navigate the Google Colab interfaceImport and manipulate data in Google ColabPerform data analysis and visualization in Google ColabUse advanced techniques in Google Colab, including machine learning and collaborative codingModule 3 Description:This online module is designed for data analysts who want to learn how to use Google Data Studio (Looker) to create compelling data visualizations and dashboards. In this module, you will learn how to connect your data sources, create reports and dashboards, customize visualizations, and use advanced techniques and tips to analyze and present your data effectively.Module Outline:Lesson 1: Introduction to Google Data Studio (Looker)Lesson 2: Connecting Data SourcesLesson 3: Creating Reports and DashboardsLesson 4: Customizing VisualizationsLesson 5: Advanced Techniques and TipsBy the end of this module, you will have a solid understanding of how to use Google Data Studio (Looker) to create professional-grade reports and dashboards that effectively communicate your data insights.Module 4 Description:Google Apps Script is a scripting language that allows you to automate and extend the functionality of various Google apps, including Google Sheets, Google Docs, and Google Forms. In this module, you will learn how to use Google Apps Script to create custom functions, automate workflows, and build custom applications that interact with Google apps. You will also learn best practices for writing efficient and effective code, as well as how to troubleshoot common issues.Module Outline:Lesson 1: Introduction to Google Apps ScriptLesson 2: Getting Started with Google Apps ScriptLesson 3: Automating Workflows with Google Apps ScriptLesson 4: Building Custom Applications with Google Apps ScriptLesson 5: Advanced Techniques and Tips for Google Apps ScriptBy the end of this module, you will have the skills and knowledge needed to use Google Apps Script to automate workflows, build custom applications, and extend the functionality of various Google apps. You will also have a strong understanding of best practices for writing efficient and effective code.Module 5 Description:This module is designed to help data analysts master the art of data storytelling using various Google tools. In this module, you will learn how to turn raw data into compelling narratives and present them in a visually appealing and engaging way. You will learn how to use Google Sheets, Google Data Studio (Looker), and other Google tools to create dynamic visualizations and dashboards that communicate insights effectively. You will also learn best practices for data visualization and storytelling, and how to incorporate storytelling techniques into your data analysis process.Module Outline:Lesson 1: Introduction to Data StorytellingLesson 2: Gathering and Preparing DataLesson 3: Visualizing DataLesson 4: Creating a Data StoryLesson 5: Advanced Techniques and Tips
Who this course is for
This course is designed for individuals who are interested in developing their skills in data analysis and visualization.,Learners who want to acquire knowledge in statistical analysis, data manipulation, and data visualization using popular tools like Python and Tableau will find this course valuable.,This course is suitable for beginners who have no prior experience in data analysis, as well as those who want to expand their knowledge in this field.,This course is ideal for students, researchers, analysts, and professionals who want to use data analysis and visualization to improve decision-making, solve complex problems, and gain insights from data.,Anyone who works with data or wants to work with data, such as data scientists, data analysts, business analysts, market researchers, and marketing professionals will find this course helpful in enhancing their skills and knowledge.

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[mitsumi1]

The Importance Of An Employee Handbook
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 441.33 MB | Duration: 0h 30m

Assisting HR professionals with important documentation in and employee handbook.

What you'll learn
The importance of an Employee Handbook
The value an Employee Handbook
The objective of the Employee Handbook
Implementation of the Employee Handbook

Requirements
Basic knowledge about HR is required..

Description
In this course I will introduce you to an employee handbook. I will give you the goal of having an employee handbook. I will explain to you why it is important to have an employee handbook. We will have a look at what is important to put in you employee handbook. I will do a short version of an employee handbook with you and have a discussion on why it is important to have certain policies in your employee hand book. The most important policy for me to include in your employee handbook is your company's disciplinary code and procedure, this policy will inform employees what is the procedures in case of a rule or procees that was not adhered too.Anothe important thing to mention in you employee handbook is information regarding salaries and benefits, it is always great for an new employee to have this knowledge on hand, as all new employees are pretty unsure about the salaries and payments. It is also a great idea to include an layout ouf your company in your employee handbook so that a new employee knows who is where. An organogram is another great piece of information to include in your employee handbook.

Overview
Section 1: Welcome

Lecture 1 Introduction

Section 2: Goals of this course

Lecture 2 Goals

Section 3: What is an Employee Handbook?

Lecture 3 What is an Employee Handbook?

Section 4: Why have an Employee Handbook?

Lecture 4 Why have an employee handbook?

Section 5: Do you need an employee handbook?

Lecture 5 Do you need an employee handbook?

Section 6: How do you write an employee handbook?

Lecture 6 How do you write an employee handbook?

Section 7: What policies should I add to the employee handbook?

Lecture 7 What policies should I add to the employee handbook?

Section 8: The importance of an employee handbook

Lecture 8 The importance of an employee handbook.

Section 9: Let's do an employee handbook together.

Lecture 9 Let's do an employee handbook together.

Section 10: Implementation of the employee handbook

Lecture 10 Implementation of the employee handbook

Section 11: What have we learned?

HR Officers and HR Managers

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[mitsumi1]

The Lebesgue Integral
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 750.53 MB | Duration: 3h 21m

The Lebesgue Integral, Simple Functions, Non-Negative Functions

What you'll learn
The Lebesgue Integral plays an important role in probability theory, real analysis, and many other fields in Mathematics.
Furthermore, The Lebesgue Integral can define the integral in a completely abstract setting, giving rise to probability theory.
Advantages of Lebesgue theory over Riemann theory: 1. Can integrate more functions (on finite intervals). 2. Good convergence theorems.
In the study of Fourier series, Fourier transforms, and other topics, the Lebesgue integral is better able to describe how and when it is possible to take limit
Requirements
Basic knowledge of Riemann Integration and Basic concepts of sequence and series with Limits.
Description
The Lebesgue integral, named after French mathematician Henri Lebesgue, extends the integral to a larger class of functions. It also extends the domains on which these functions can be defined. The Lebesgue integrals are the integration of functions over measurable sets, which could integrate many functions that cannot be integrated as Riemann integrals or even Riemann-Stieltjes integrals. The concept behind the Lebesgue integrals is that generally, while integrating a given function, the total area under the curve is divided into several vertical rectangles, but while determining the Lebesgue integral of the function, the area under the curve is divided into horizontal slabs, that need not be rectangles.*The Lebesgue Integral plays an important role in Probability theory, Real Analysis, and many other fields in Mathematics. In the study of Fourier series, Fourier transforms, and other topics. The Lebesgue integral is better able to describe how and when it is possible to take limits under the integral sign (via the Monotone Convergence Theorem and Dominated Convergence Theorem).This Impressive Course of 3 hr 7 min includes the Contents_Introduction of Step FunctionDefinition of Characteristic Function & Simple FunctionsThe Lebesgue Integral of a Bounded Function over a set of Finite Measure.Necessary and Sufficient Condition for a function to be Measurable.Definition of a LEBESGUE INTEGRALFunction that is Lebesgue Integral but not Riemann Integral.Properties of Lebesgue Integrals.BOUNDED CONVERGENCE THEOREMThe Integral of a Non-Negative FunctionFATOU'S LEMMAMONOTONE CONVERGENCE THEOREM Corollary of Monotone Convergence TheoremDefinition of a Non Negative Function Integrable over the Measurable SetIncluding all Propositions, Theorems and Lemma's.Thank You.
Overview
Section 1: The Lebesgue Integral INTRODUCTION
Lecture 1 Introduction to Simple Functions & Characteristic Functions
Lecture 2 Lemma on Integral of Simple Function
Lecture 3 Proposition on simple Functions that vanish outside a set of Finite Measure
Lecture 4 Sufficient Condition for 'f' to be Measurable.
Lecture 5 Necessary Condition for 'f' to be Measurable
Section 2: INTRODUCTION of Lebesgue Integral
Lecture 6 Introduction of Step Function
Lecture 7 Lebesgue Integral is the Generalization of Riemann Integral
Lecture 8 Prove that Given Function is Lebesgue integral but not Riemann Integral
Lecture 9 Properties of Lebesgue Integral
Lecture 10 Some More Properties of Lebesgue Integral
Lecture 11 BOUNDED CONVERGENCE THEOREM
Section 3: The Integral of a NON NEGATIVE FUNCTION
Lecture 12 The Integral of a Non Negative Function
Lecture 13 FATOU'S LEMMA
Lecture 14 MONOTONE CONVERGENCE THEOREM
Lecture 15 Corollary of Monotone Convergence Theorem
Lecture 16 Proposition of non negative function for Disjoint sequence of Measurable Sets
Lecture 17 Definition of Non Negative Measurable Function Integrable over E
Lecture 18 Proposition of Non Negative Function 'f' which is Integrable over a set E
A standard for a math undergraduate program, Students of MSc. mathematics , PG/UG students of maths, UGC Entrance , Under graduates, Master degree in statistics, functional analysis

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[mitsumi1]

The Ultimate Computer Vision And Deep Learning Course
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.09 GB | Duration: 1h 14m

Computer Vision Generative AI using Deep Learning, Learn Generative AI architectures, Get started with Deep Learning

What you'll learn
Learn the core concepts and techniques used in computer vision, including image processing, feature extraction.
Gain practical experience by implementing computer vision models using PyTorch
Dive deep into CNNs, the backbone of modern computer vision, and explore architectures like VAE, UNet etc. to enhance your understanding of deep
Understand how to leverage pretrained models to expedite the training process in computer vision tasks while working with limited data.
Understand how Generative AI works implement them
Requirements
You must know Python as a pre-requisite. In this course I am also covering the basics of Deep Learning, it would be good if you are aware of basic data science concepts, but it's not a necessity..
Description
In this course, you will embark on a journey to master the foundations of deep learning and apply them to various computer vision tasks. Whether you're a beginner or an experienced practitioner, this course will equip you with the knowledge and practical skills needed to excel in the field.This course only focuses on the things which are required to get you started in coding Neural Networks for computer vision tasks. The reason why this course is short in duration is because it does not contain any mathematical explanation. Teach section start with theory, gives you an idea about how things work, and then gives you hands-on examples through coding videosYou'll dive into "Deep Learning Fundamentals" to establish a solid understanding of the principles that drive this cutting-edge field. You'll explore topics such as neural networks, Tensors, PyTorch etc.In "Building Neural Networks with PyTorch," you'll learn how to construct powerful neural networks using the PyTorch library. Through hands-on coding exercises, you'll gain the skills to design, train, and evaluate neural networks for a variety of tasks.The "Neural Network for Images" section focuses on leveraging neural networks for image classification, object detection, and semantic segmentation. You'll learn how to preprocess image data, build custom architectures, and apply transfer learning to achieve state-of-the-art performance."Convolutional Neural Networks" takes a deep dive into this key architecture for computer vision. You'll understand the unique characteristics of CNNs, learn how to fine-tune them for specific tasks.The "Autoencoders" section introduces unsupervised learning and dimensionality reduction techniques using autoencoders. You'll delve into various types of autoencoders, including convolutional and variational autoencoders, and apply them to projects involving image reconstruction and generation.Finally, the "Projects" section will put your skills to the test as you tackle exciting real-world applications. You'll explore projects like "Deep Fake" where you'll generate realistic face swaps, "Image Colorization" to bring black and white images to life, and "Neural Style Transfer" to create artistic transformations.By the end of this course, you'll have gained a comprehensive understanding of deep learning and computer vision with PyTorch. You'll be proficient in building and training neural networks, applying convolutional networks to image analysis, and utilizing generative models for creative projects. Join us now and unlock the potential of deep learning in the realm of computer vision!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Course Overview
Section 2: Deep Learning Fundamentals
Lecture 3 What is Deep Learning
Lecture 4 Introduction to PyTorch
Lecture 5 Tensor
Lecture 6 Tensor (Coding)
Lecture 7 Operations on tensor (Coding)
Lecture 8 Operations on tensor part 2(Coding)
Lecture 9 Advantages of tensors
Section 3: Building Neural Networks with PyTorch
Lecture 10 What is a Neural Network
Lecture 11 Neural Network Training Workflow
Lecture 12 Neural Network Architecture
Lecture 13 Architecture (Coding)
Lecture 14 Activation and Loss Functions
Lecture 15 Activation and Loss Functions (Coding)
Lecture 16 Optimizers
Lecture 17 Training Neural Network (Coding)
Lecture 18 Dataset and Data Loader
Lecture 19 Dataset and Data Loader (Coding)
Lecture 20 Sequential
Section 4: Neural Network for Images
Lecture 21 Introduction to Image Classification
Lecture 22 Fundamentals of Image Processing (Coding)
Lecture 23 Image Classification (Coding)
Lecture 24 Hyperparameter Tuning
Lecture 25 Deep Neural Network (Coding)
Lecture 26 Data Normalization
Section 5: Convolutional Neural Networks (CNNs)
Lecture 27 Introduction to CNN
Lecture 28 Why CNN?
Lecture 29 CNN (Coding)
Lecture 30 Data Augmentation
Lecture 31 Training with Augmented Data (Coding)
Lecture 32 CNN on Real World Images
Section 6: Auto Encoders
Lecture 33 Introduction to Auto Encoders
Lecture 34 Vanilla Auto Encoders (Coding)
Lecture 35 CNN Based Auto Encoder (Coding)
Lecture 36 Introduction to Variational Auto Encoders (VAE)
Lecture 37 VAE (Coding)
Section 7: Hands-on Projects
Lecture 38 Section Overview
Lecture 39 Neural Style Transfer (Coding)
Lecture 40 Deep Fake (Coding)
Lecture 41 Image Colorization (Coding)
Data scientists curious about computer vision and Generative AI,AI Enthusiasts who want to learn about computer vision and generative AI

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[mitsumi1]

Tradewiseacademy: Trading Basics And Psychology
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 371.56 MB | Duration: 0h 58m

Trading and Investing

What you'll learn
Understand basic trading fundamentals
Learn common technical analysis strategies
Identify key indicators using fundamental analysis
Gain insight into the psychology of trading
Requirements
No experience is necessary. A base level of knowledge should be gained upon completion of this course.
Description
In this comprehensive online trading course, you'll learn everything you need to know to become a successful trader in financial markets. Whether you're new to trading or looking to improve your skills, this course is designed to provide you with the knowledge, tools, and strategies you need to succeed.We'll start by covering the fundamentals of trading, including how markets operate, the different types of financial instruments available, and key trading terminology. You'll learn about trading platforms, order types, and how to execute trades. We'll also cover the different types of analysis, including technical and fundamental analysis.Next, we'll dive into technical analysis, which is the study of past market data to identify trends and make predictions about future price movements. You'll learn how to use technical indicators, charts, and other tools to analyze the market and make informed trading decisions. We'll cover everything from basic chart patterns to more advanced indicators, and we'll show you how to use these tools to spot trading opportunities and manage risk.In the fundamental analysis section, you'll learn how to analyze financial and economic factors that influence the value of a particular asset. We'll cover how to assess a company's financial health, analyze economic indicators, and evaluate news and events that could impact the markets. You'll learn how to use this information to make informed trading decisions and identify potential trading opportunities.In the trading strategies and psychology section, you'll learn various trading strategies and how to develop a trading plan that suits your goals and risk tolerance. We'll cover swing trading, day trading, trend following, and more. You'll also learn about the importance of discipline, risk management, and emotional control when trading. We'll show you how to develop the right mindset and habits to succeed in trading.By the end of the course, you'll have a solid foundation in trading that you can use to make informed decisions and potentially achieve your trading goals. You'll be equipped with the knowledge, tools, and strategies needed to succeed in financial markets. Whether you're a beginner or an experienced trader, this course is perfect for anyone looking to take their trading to the next level.
Overview
Section 1: Introduction
Lecture 1 Welcome to the course!
Section 2: Helpful tools before we begin
Lecture 2 Charting and Broker Support
Section 3: Module 1: Trading Basics
Lecture 3 Lesson 1.1: Definitions of Key Terms
Lecture 4 Lesson 1.2: Overview of Financial Markets
Lecture 5 Lesson 1.3: Importance of Risk Management
Section 4: Module 2: Technical Analysis
Lecture 6 Lesson 2.1: Price Charts and How to Read Them
Lecture 7 Lesson 2.2: Indicators and How to Use Them
Lecture 8 Lesson 2.3: Chart Patterns and How to Identify Them
Lecture 9 Price Level Demonstration
Lecture 10 Demand Demo
Lecture 11 Supply Demo
Lecture 12 Trendlines Uptrend Demo
Lecture 13 Trendlines Downtrend Demo
Lecture 14 Moving Averages Demo
Lecture 15 Fibonacci Demo
Lecture 16 Complete Technical Demo
Section 5: Module 3: Fundamental Analysis
Lecture 17 Lesson 3.1: How to Evaluate Economic Data
Lecture 18 Lesson 3.2: Analyzing Company Earnings Reports and Statements
Lecture 19 Lesson 3.3: How News Events Impact Financial Markets
Section 6: Module 4: Trading Strategies
Lecture 20 Lesson 4.1: Swing Trading
Lecture 21 Lesson 4.2: Position Trading
Lecture 22 Lesson 4.3: Day Trading
Section 7: Module 5: Trading Psychology
Lecture 23 Lesson 5.1: Importance of Trading Psychology
Lecture 24 Lesson 5.2: Managing Emotions in Trading
Lecture 25 Lesson 5.3: Developing a Trading Plan and Sticking to It
Section 8: End of Course
Lecture 26 Ending Notes
This course is for beginner to intermediate traders seeking to begin or expand their knowledge and skills.

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[mitsumi1]

Transform Your Business With Hubspot: The Complete Course
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.61 GB | Duration: 3h 50m

A step-by-step guide to getting the most out of Hubspot

What you'll learn
Familiarize students with the Hubspot platform and its different modules and functionalities.
How to use Hubspot to create and execute effective marketing and sales campaigns, including automating repetitive tasks.
Understand how to use Hubspot to improve customer experience and increase customer satisfaction.
Measure and analyze the results of your campaigns in Hubspot, so you can continuously adjust and improve your marketing and sales strategies.

Requirements
No prior experience with Hubspot is required.

Description
Welcome to the Hubspot course. In this course, you will learn everything you need to know about the Hubspot platform and how you can use it to improve your marketing and sales strategy. This course is designed for beginners, so no previous experience with the Hubspot platform is required.In the first section, we will introduce the Hubspot platform and explain how it works. You will learn about the different tools it offers, including CRM, contact management, marketing automation and sales management.In the second section, we'll delve into using the Hubspot CRM. We'll teach you how to create and manage contacts, companies and businesses on the platform. We'll also show you how to use lists, reports and dashboards to analyze your data and improve your results.In the third section, we'll teach you how to use Hubspot's marketing tools, including marketing automation, email and social media management. You will learn how to create effective marketing campaigns and how to optimize them for better results.In the fourth section, we'll teach you how to use Hubspot's sales tools, including contact management and task automation. You'll learn how to use the sales pipeline and how to create and customize your own email templates and sales documents.In the fifth and final section, we'll teach you how to integrate Hubspot with other tools and applications you use in your business. You will learn how to integrate Hubspot with your website, your analytics tools, and your productivity tools.By the end of this course, you will be prepared to use Hubspot effectively to enhance your marketing and sales strategy. Let's get started!

Overview
Section 1: What is Hubspot and why is it important?

Lecture 1 Important Notice from All-Embracing Learning

Lecture 2 Introduction to Hubspot

Lecture 3 IMPORTANT: Glossary of Terms

Lecture 4 Benefits of Hubspot

Lecture 5 How Can Hubspot Help Your Business?

Lecture 6 Hubspot Use Cases

Section 2: Introduction to Hubspot Contacts

Lecture 7 How to Create a Hubspot Account

Lecture 8 How to Set Up Your Hubspot Account

Lecture 9 How to Collaborate with Your Team on Hubspot

Lecture 10 What are Hubspot Contacts?

Lecture 11 How to Add Contacts to your Hubspot Part 1

Lecture 12 How to Add Contacts to your Hubspot Part 2

Lecture 13 What are Companies in Hubspot?

Lecture 14 How to Add Companies to Your Hubspot

Lecture 15 What is the Activity Feed?

Lecture 16 What are Hubspot Lists?

Section 3: Introduction to Hubspot Conversations

Lecture 17 What is Hubspot Inbox?

Lecture 18 What are Hubspot Chatbots?

Lecture 19 What are Hubspot Chatflows?

Lecture 20 What are Hubspot Snippets?

Lecture 21 What are Hubspot Templates?

Section 4: Introduction to Hubspot Marketing

Lecture 22 What are Hubspot Ads?

Lecture 23 What are Hubspot Emails?

Lecture 24 What are Hubspot Landing Pages?

Lecture 25 What are Hubspot Webpages?

Lecture 26 Overview of Hubspot SEO, Social & Campaigns

Lecture 27 What are Hubspot Design Tools?

Lecture 28 What are Hubspot Forms?

Section 5: Introduction to Hubspot Sales

Lecture 29 What are Hubspot Deals?

Lecture 30 What are Hubspot Tasks?

Lecture 31 What are Hubspot Documents?

Lecture 32 What are Hubspot Meetings?

Lecture 33 What is Hubspot Payment?

Lecture 34 What are Hubspot Quotes?

Section 6: Introduction to Hubspot Customer Service

Lecture 35 What are Hubspot Tickets?

Lecture 36 What are Hubspot Feedback Surveys, Knowledge Base and Customer Portals?

Section 7: Introduction to Reports

Lecture 37 What are Hubspot Dashboards?

Lecture 38 What are Hubspot Reports?

Lecture 39 What are Hubspot Integrations & Data Models?

To all those who want to learn how to use Hubspot effectively.

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[mitsumi1]

Ultimate Beginners Guide To Investing
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 726.45 MB | Duration: 1h 2m

Learn the Basics of Investing Strategy. Take a step closer to your financial success!

What you'll learn
Understand the concepts of compound interest in investing
Understand how diversification is used to grow your portfolio and manage risk
Identify stocks that could benefit your portfolio
Understand how to set investing goals and choose appropriate risk levels
Requirements
Basic understanding of the stock market and investing is not necessary but useful
Description
Hello and Welcome. My name is Caleb Tovera and it would be an honor to allow me to guide you towards financial success in the markets.In today's time many commissions free trading platforms has truly leveled the playing field for any kind of investor. Anybody can enter the stock market without needing a personal broker or financial advisor, this allows them to cut basically all trading costs which is huge. Yet many people lack the confidence to enter the markets or people jump in not knowing what they're doing and lose money. This course will empower you and give you the confidence to truly succeed in the markets!In the first lecture we will discuss how you can grow your money at an accelerated rate using compounding or compound interest.In the second lecture we will discuss how you can build an efficient and diversified portfolio by using ETFs in the stock market to create a portfolio with a steady rate of return, best suited for long term compounding.In the third lecture we will discuss key factors in a company's financial success to help you assess if their stock belongs in your portfolio.Throughout this course I also share useful excel spreadsheets that you can download yourself. I also share the exact trading platforms I use and even display my exact positions in the stocks I own!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Compound Interest
Lecture 3 Diversification
Lecture 4 Success in Stocks
Lecture 5 Conclusion
Ideally this course would be most useful for young adults between the ages of 18-28 who are interested in investing in the stock market

Download link

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[mitsumi1]

Unreal Engine 5.1: Advanced Landscape Creation
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.00 GB | Duration: 1h 0m

Learn to create landscapes in unreal engine

What you'll learn
Learn Unreal engine landscape creation
Unreal engine material setup
Quixel mixer texture creation
World creator landscape sculpting
Requirements
Unreal engine beginner level required
Description
In this lesson you will be learning all about Unreal engine landscape creation, material setup , lighting and procedural grass generation.We will be covering three different programs like, Unreal Engine, World creator and Quixel mixer.First we will create the landscape with world creator. Then move to create three different texture layers. Once we finish exporting the height map and texture layers we can move to unreal engine. In unreal engine we will create a new level for landscape and import the heightmap. Next step is to create the material which contain three different layers like grass, rock and soil.Then create material instance and apply to our landscape. Now we have to create weight blended layers so that texture layers will apply automatically.After finishing this we can import three different texture layers like grass , rock and soil.Once we finish all this we can add exponential fog and directional light. Make sure change the light to movable and increase volumetric scattering intensity. Now we can add volumetric cloud and change the sun position if you want. For the exposure we can change it in post process volume. Make sure you change the post process volume settings to unbound to work perfectly.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: World creator
Lecture 2 Worldcreator introduction
Lecture 3 Sculpting landscape in World creator
Lecture 4 Continue sculpting landscape in World creator
Lecture 5 Creating texture layers in World creator
Lecture 6 Exporting heightmap and layers
Section 3: Unreal Engine 5.1
Lecture 7 Unreal engine introduction
Lecture 8 Creating landscape with heightmap
Lecture 9 Creating textures with quixel mixer
Lecture 10 Continue creating textures with quixel mixer
Lecture 11 Importing textures into unreal engine
Lecture 12 Creating landscape material
Lecture 13 Continue creating landscape material
Lecture 14 Finishing landscape material
Lecture 15 Applying landscape material and importing layers
Lecture 16 Lighting setup and fog settings
Lecture 17 Adding Grass and finishing the landscape
Unreal Engine landscape creation

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[mitsumi1]

Webinar Mastery
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 433.69 MB | Duration: 1h 12m

Master the process of creating high converting webinars to sell anything in a one to many model.

What you'll learn
Methods used to create the most successful webinars
Learn to plan for a high converting webinar
Learn how to build an audience and interact with them through a webinar
Best tips to increase conversions
How to handle question and answer section of webinars
Requirements
A desire to learn how to create a high converting webinar
Description
People are familiar with webinars a lot more than they used to be.People know that if they attend a webinar, they will receive great value.Something awesome about webinars is that It will not be a shock to people when you make a pitch for one of your products or services at the end of the webinar.Still, A Lot Of Marketers Make Big Mistakes With Their Webinars And Do Not Get The Results That They Want!It is important that you do not just jump into running webinars without knowing what you are doingYou need to learn what other successful webinar marketers do to make a lot of money.What they have done is not rocket science and you can replicate their success easily.Here's where my advice for you comes in.With My Advice .You will learn the methods used to create the most successful webinars.You will learn how to plan for a high converting webinar.You will be able to build an audience through webinars and engage with them.You will learn great tips for improved webinar conversions.You will learn the best ways to manage webinar question and answer sessions.To make it easy, I've put together a step-by-step guide that will show you exactly how it's done...This Is How You Make Money With Webinars!No stones are left unturned when you get your hands on this now.You will become a complete expert on this, and you'll get everything you need inside to do the same.Here's Just A Quick Preview Of What You'll Discover Inside...Why Use Webinars In Your Marketing Strategy?Planning For A High Converting WebinarChoosing Your Webinar SubjectKnow Your AudienceEssential Tips For Better Webinar ConversionsManaging Question And Answer SessionsThe Best Ways To Promote Your WebinarChoosing The Right Platform For Your WebinarBest Practices For Webinar MasteryPlus, a whole lot more...This is the easiest way to actually make money with webinars!Who Needs This Step-By-Step Guide?If you answer YES to any of the below, you need this.You want to know the methods used to create the most successful webinars.You want to build an audience through webinars and engage with them.You want to know how to plan for a high converting webinar.You want to know great tips for improved webinar conversions.You want to know the best ways to manage webinar question and answer sessions.Does This Sound Like Exactly What You Need? But maybe your next question is: How Much?If you were going to hire an expert on this, to show you how it's done, you could easily find yourself investing hundreds of dollars for this sort of coaching.In fact, many people invest hundreds and thousands of dollars to get into coaching programs or attend workshops...But, you won't have to invest anywhere near that today.And it just keeps getting better.
Overview
Section 1: Webinar Mastery
Lecture 1 Introduction
Lecture 2 Chapter 1 Why use webinars in your marketing strategy?
Lecture 3 Chapter 2 Planning for a high converting webinar
Lecture 4 Chapter 3 Choosing your webinar subject.
Lecture 5 Chapter 4 Know your Audience
Lecture 6 Chapter 5 Essential Tips for better webinar conversions
Lecture 7 Chapter 6 Managing Question and Answer Sessions
Lecture 8 Chapter 7 The best ways to promote your webinar
Lecture 9 Chapter 8 Choosing the right platform for your webinar
Lecture 10 Chapter 9 Best practices for webinar mastery
Lecture 11 Conclusion
Section 2: Additional Content and Resources
Lecture 12 Cheat Sheet
Lecture 13 Mind Map
Lecture 14 Resource Report
Lecture 15 Avoid These Five Webinar Mistakes
Lecture 16 How increase participation rates
Lecture 17 9 Ways To Get More Webinar Attendees
Lecture 18 Best practices for webinar success
Lecture 19 Tips To Create A Webinar Landing Page That gets Registrations
Lecture 20 The Importance Of Questions And Answers In Your Webinar
Lecture 21 6 Effective Ways To Promote Your Webinar
Anyone who wants to sell something through a webinar or create high converting webinars for others.

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[mitsumi1]

Working With Large Language Models In Generative Ai
Last updated 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 355.21 MB | Duration: 1h 10m

Overview Into The World of Generative Artificial Intelligence (AI)

What you'll learn
Understand the importance of large language models in natural language processing (NLP) and their role in production.
Gain familiarity with prominent large language models, such as GLaM, Megatron-Turing NLG, Gopher, Chinchilla, PaLM, OPT, and BLOOM, and learn the key insights f
Learn the basics of transfer learning and transformer training to optimize AI models in NLP applications.
Be able to articulate the advancements and key contributions of each large language model, from GPT-3 to present day

Requirements
Basic understanding of natural language processing (NLP) and familiarity with programming concepts is helpful, but not required.

Description
This course provides an overview into the world of generative artificial intelligence (AI) and the use of large language models. As a participant, you'll explore the key concepts, techniques, and best practices involved in working with large language models, which have become increasingly important in natural language processing (NLP).In this course, you'll gain a comprehensive understanding of large language models, their significance in natural language processing (NLP), and how to effectively use them in your AI projects. This course introduces you to the most prominent models, including GLaM, Megatron-Turing NLG, Gopher, Chinchilla, PaLM, OPT, and BLOOM, highlighting essential insights from each. You'll also learn about their practical applications in production and the importance of transfer learning and transformer training for optimizing your models. By the course's end, you'll have an updated understanding of advancements since the release of GPT-3 and the major contributions of these large language models.By the end of the course, you'll have a solid understanding of how to integrate large language models into your generative AI projects and the latest advancements in the field. Whether you're a data scientist, AI engineer, or software developer, this course will equip you with the skills and knowledge needed to leverage large language models for cutting-edge generative AI applications.

Who this course is for
Data scientist, AI engineer, or software developer,Anyone interested in AI

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[mitsumi1]

Zen Do Kai Japanese Karate Basics: Punches, Kicks And Blocks
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.86 GB | Duration: 2h 10m

Course Subtitle: Master the Essentials: Strikes, Defense, and Techniques

What you'll learn
Develop fundamental karate techniques and stances for effective self-defense.
Gain a deep understanding of Zen DO Kai principles and philosophy for personal growth and mental clarity.
Enhance physical fitness, strength, and flexibility through dynamic training exercises.
Learn effective striking, blocking, and grappling techniques for practical combat situations.
Cultivate discipline, focus, and self-confidence through rigorous training and mental conditioning.
Develop effective strategies for situational awareness and conflict resolution in real-world scenarios.
Requirements
No prior experience or specific prerequisites are required to take this course
Be carefull if you have some problems with knee joints. Just try to find your own balance that will be comfortable for you.
Description
Are you ready to embark on a thrilling journey of self-discovery and martial arts mastery? Look no further! Welcome to Zen Do Kai Japanese Karate Basics: Punches, Kicks, and Blocks, an exhilarating video course that will unlock your true potential as a martial artist.In this action-packed program, designed specifically for beginners, you will delve into the fascinating world of Zen Do Kai Japanese Karate. From the moment you press play, you will be captivated by the dynamic movements, explosive strikes, and unwavering discipline that define this ancient art.With our comprehensive curriculum, you will learn the fundamental techniques that form the backbone of Zen Do Kai Japanese Karate. Immerse yourself in the art of powerful punches that emanate strength and precision. Discover the secrets behind lightning-fast kicks that showcase agility and versatility. Master the art of rock-solid blocks that defend against any adversary.But Zen Do Kai Japanese Karate Basics offers more than just physical training. It is a transformative experience that goes beyond the realm of combat. As you progress through the course, you will witness a remarkable change within yourself. Your body will grow stronger, your reflexes sharper, and your confidence will soar to new heights.Under the guidance of our expert instructors, you will develop not only your physical skills but also your mental fortitude. Zen Do Kai Japanese Karate is rooted in discipline, focus, and self-awareness. Through meditation and mindfulness exercises, you will cultivate a calm mind and a strong spirit, enabling you to face any challenge with grace and resilience.Join us now on this incredible journey of self-discovery and empowerment. Whether you aspire to become a skilled martial artist or simply seek to improve your fitness and self-defense abilities, Zen Do Kai Japanese Karate Basics is the perfect starting point. Enroll today and unleash the warrior within!
Overview
Section 1: Introduction
Lecture 1 What is Zen Do Kai
Lecture 2 Zen Do Kai technical differences from other Karate styles
Lecture 3 About Rules and Differences to other Karate Styles
Lecture 4 Helmets in ZDK
Lecture 5 Other Protective Gears
Lecture 6 Let's tie your belt
Section 2: Punching Techniques in Karate Zen Do Kai
Lecture 7 Jab
Lecture 8 Straight Punch
Lecture 9 Hook
Lecture 10 Uppercut
Lecture 11 Mistakes in Punching
Lecture 12 4 punches Combo 1
Lecture 13 4 punches Combo 2
Section 3: Kikcking Techniques
Lecture 14 Low Kick and where to kick
Lecture 15 Middle Kick General
Lecture 16 Middle Kick: targets to kick
Lecture 17 Push Front Kick
Lecture 18 Side Push Kick
Lecture 19 Spinning Kick in General
Lecture 20 Spinning kick Aspects
Lecture 21 Spinning Push Kick
Lecture 22 High Kick
Lecture 23 Brazillian High Kick
Section 4: Blocking Techniques
Lecture 24 Mawashi Uke and Blocking 1
Lecture 25 Mawashi Uke and Blocking 2
Lecture 26 Mawashi Uke and Blocking 3
Lecture 27 Blocking : Under belt Level
Lecture 28 Blocking 5: Above the belt
Lecture 29 Blocking: High Kicks
Section 5: Sparring Demonstration
Lecture 30 Zen Do Kai Sparring Demonstration
Section 6: About Sensei Florian Garel and Zen Do Kai as Self-Defense
Lecture 31 Sensei Florian about himself 1
Lecture 32 Sensei Florian about himself 2
Lecture 33 Sensei Florian about himself 3
Lecture 34 Why Sensei Florian started Martial Arts
Lecture 35 About Using Karate skills on street and self-defense
This course is designed for individuals of all ages and backgrounds who are interested in learning Zen DO Kai Karate. It is suitable for beginners seeking to explore martial arts for self-defense and personal growth. Additionally, it is beneficial for individuals with prior martial arts experience who wish to expand their knowledge and skills in a comprehensive and disciplined approach. Whether you are a fitness enthusiast, a martial arts enthusiast, or simply someone looking to improve your mental and physical well-being, this course will provide valuable insights and practical techniques to support your journey.

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[mitsumi1]

Zw3D Beginner Class
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.12 GB | Duration: 3h 59m

ZW3D, 3D CAD, Beginner, Design

What you'll learn
For ZW3D 3D CAD Beginner to Study Online.
Basic Concept of the 3D Modeling.
Mainly for People who have to use ZW3D As Soon As Possible.
Overall process of 3D CAD Modeling
Requirements
Need ZW3D Installed
Description
This course is designed for beginners and does not require any prior knowledge or experience. The 3D CAD program used in this course is ZW3D. ZW3D can be downloaded for free as a trial version for a month, and this course uses the latest version of ZW3D 2023. which can be a little different from the previous version, but no major problem with using the previous version of the ZW3D for this class.This course is made for the beginner, even if you have never used ZW3D before or any of the 3D CAD software, you will find the lectures easy to follow. This course is an introduction to the basic concepts and tools of 3D CAD, and teaches you how to do 3D modeling through practical examples. By taking this course, you will learn the following topics. Sketching, Modeling into 3D Shape, Assembly, 2D Drawing, etc. with the basic tools explained. Have exercise for each section to help you understand the function better. This course consists of 30 lectures, each of which is a 5~15minute video. The lectures are conducted in a follow-along style, where you can follow exactly what the instructor explains and shows in real time. Also, the lectures include subtitles to help you understand and learn better.
Overview
Section 1: Sketch
Lecture 1 Line and Arc
Lecture 2 Circle and Rectangle and Polygon
Lecture 3 Constraint and Dimension
Lecture 4 Fillet and Chamfer
Lecture 5 Trim and Extension and Offset
Lecture 6 Pattern and Mirror
Lecture 7 Exercise 1
Lecture 8 Exercise 2
Lecture 9 Exercise 3
Section 2: 3D Modeling
Lecture 10 Extrude
Lecture 11 Revolve
Lecture 12 Fillet and Chamfer
Lecture 13 Draft and Hole
Lecture 14 Sweep
Lecture 15 Loft and Shell
Lecture 16 Boolean and Trim
Lecture 17 Pattern and Mirror
Lecture 18 Datum
Lecture 19 Move and Copy
Lecture 20 Exercise 1
Lecture 21 Exercise 2
Section 3: Assembly
Lecture 22 Insert
Lecture 23 Constraints
Lecture 24 Library
Lecture 25 Interference and Compare Parts
Lecture 26 BOM Table
Section 4: 2D Drawing
Lecture 27 Standard and Projection View
Lecture 28 Section and Detail View
Lecture 29 Add Dimension and Tolerance
Lecture 30 Add Text and Symbol
Lecture 31 BOM table and Balloon
Lecture 32 Make Smart Template
Beginner

Download link

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[mitsumi1]

Aiseesoft Video Converter Ultimate 10.3.76 macOS
Language: Multilingual | File size: 143 MB

The best Mac video software ever, allowing users to easily download, convert and edit videos including 4K videos as well as homemade DVDs on Mac.

- Support external audio track and multi-audio track (New)
- Enhance video quality for clearer visual experience
- Rotate and flip video file with one click
- Stabilize shaky videos to get a stabilization screen
- Download and save online videos on Mac, including 4K videos
- Support converting videos to and from 4K UHD
- Edit your videos
It can convert home DVDs and videos to all popular video formats including MOV, AVI, MP4, MPG, MKV, HD MP4, HD MOV, etc. It also supports 4K converting, which means you can use it to convert all leading standard and high definition video formats to and from 4K video/audio formats. It supports every popular 4K encoding technology, including H.265/HEVC, H.264, MPEG, Xvid, VP8, VP9, etc. It supports the latest macOS High Sierra. High compatibility makes it suitable for all Mac users.
Release Notes
Updates: official site does not provide any info about changes in this version

Supported Operation Systems
macOS 10.12 or later

Homepage:

https://www.aiseesoft.com

Download link

rapidgator.net:

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[mitsumi1]

Alfred 5 Powerpack 5.1.1 (2138) macOS
File size: 8 MB

Alfred 5 is an award-winning app for macOS which boosts your efficiency with hotkeys, keywords, text expansion and more. Search your Mac and the web, and be more productive with custom actions to control your Mac. Alfred 5 brings a wealth of exciting features for both new and advanced users.

New Workflow Editor
• The Workflow Editor has been rewritten from the ground up to be higher performance, more efficient, user-friendly and accessible. We've added keyboard shortcuts, new mouse interactions, a customisable and searchable palette, and VoiceOver accessibility of Workflow contents and editing.
• Workflows can now be created using keyboard shortcuts, including searching for and inserting workflow objects into the canvas. We've also added a new ⌥click paradigm which allows you to quickly connect, multi-connect or chain-connect workflow objects.
Workflow Palette and Search
• The new Workflow Palette gives you an easy way to navigate, discover and use the broad range of workflow objects available. Simply drag an object from the Palette into the canvas, or hold ⌥ and drag to automatically connect to the currently selected objects.
• Add your most-used objects to the Palette Favourites list for quick access, or search and filter the Palette instantly with the / shortcut. Use ↩︎ to add the searched item to the canvas, or ⌥↩︎ to insert and automatically connect.
• Configure the Palette to be full, compact, or hidden to suit your workspace. Even when hidden, the Palette Search will be dynamically available when needed.
Workflow Prefabs
• Prefabs enable you to save pre-configured objects, or groups of connected objects, into the Palette. You can then reuse these throughout your workflows just like any other workflow object, saving you time and effort.

Alfred Powerpack
Control your Mac with the Powerpack's incredible features, and enjoy workflows and themes.
Release Notes

https://www.alfredapp.com/changelog/

Supported Operation Systems
macOS 10.14 or later

Homepage:

https://www.alfredapp.com/alfred-5-whats-new/

Download link

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