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[mitsumi1]

Learn Python Properly-Build A 2D Game (Teens/Young Learners)

Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.03 GB | Duration: 6h 21m

Level 1 • A Python course designed specifically for teenagers and young learners (Parents/guardians must enrol)

What you'll learn
Learn how to communicate with a computer using a Python program
Learn Python coding fundamentals including loops, conditional statements, and defining functions
Learn how to plan, design, and write Python programs
Learn how to deal with errors and bugs in your code
Requirements
No programming experience is needed
Description
This course introduces the basics of Python coding using hands-on projects designed specifically for a younger audience by leading Python educator Stephen Gruppetta. This course follows the Codetoday Unlimited curriculum. You can enrol your children and teenagers on this course.All key topics are introduced using engaging projects with visual elements. The projects encourage students to be creative by programming animations and games.The course focuses on ensuring students understand why things happen the way they do in programming and not just learning how to write commands.I've been teaching Python programming to children and teenagers for a decade and thousands of parents have already entrusted me with their children's learning.The first sections of this course focus on teaching the fundamentals of coding in Python, ensuring the key concepts are understood well. The final section brings all the topics together in the final project: building a 2D graphics-based game using Python's `turtle` module.Key topics introduced in this course include:variables`for` loops and `while` loopsdefining functions using `def`control flow using conditional statementsplanning a computer programdealing with errors and bugsthe basics of game designother coding best practicesThis course is perfectly-suited to give a solid foundation to your children and teenagers who are keen to learn coding properly.This is Level 1 in the Codetoday Unlimited curriculum, the most extensive curriculum you'll find for children and teenagers. I believe in providing young learners a platform to go beyond the basics. Following this course, your sons and daughters can proceed to the the rest of the core Codetoday Unlimited curriculum, which includes Levels 1 - 5, and then extend their knowledge further with my Intermediate and Advanced Level courses.
Overview
Section 1: How To Tell The Computer What To Do
Lecture 1 Welcome - What's in This Course?
Lecture 2 So, What's Coding, Really?
Lecture 3 Getting Started • When a Python Meets a Turtle
Lecture 4 Using a Split Screen When Learning
Lecture 5 Smiley Face
Lecture 6 Smiley Face Again
Lecture 7 Exercises
Lecture 8 Swirls and Patterns • Don't Repeat Yourself • `for` Loop
Lecture 9 Swirls and Patterns Again
Lecture 10 Have You Created Interesting Patterns?
Lecture 11 Exercises
Lecture 12 A Flower in the Garden • More on `for` Loops
Lecture 13 A Flower in the Garden Again
Lecture 14 Exercises
Lecture 15 Random Thoughts
Lecture 16 Exercises
Lecture 17 Moving the Turtle
Lecture 18 A Starry Night
Lecture 19 Writing The Code For A Starry Night
Lecture 20 Finishing Touches For A Starry Night
Lecture 21 Exercises
Section 2: Extra: More on Section 1, Without the Turtles
Lecture 22 What's Extra 1? Can I Skip This?
Lecture 23 How the Program Talks to The Program's User And How the User Talks Back
Lecture 24 Storing Things in Boxes • Variables
Lecture 25 Revisiting `for` loops
Lecture 26 Revisiting `random`
Section 3: More Looping and Creating Your Own Python Words
Lecture 27 Moving to A Better Coding Platform
Lecture 28 Option 1 • Move to Replit (simpler)
Lecture 29 Option 2 • Move to PyCharm (preferred)
Lecture 30 You Can Split Your Screen to Follow Lessons
Lecture 31 Looping The Loop Again • `while` Loops
Lecture 32 Fred and Mary
Lecture 33 Exercises
Lecture 34 Invent Your Own Python Words
Lecture 35 It's Your Turn To Tell Fred Where To Go • Part 1
Lecture 36 It's Your Turn To Tell Fred Where To Go • Part 2
Lecture 37[Optional] A Drawing Program • Part 1
Lecture 38[Optional] A Drawing Program • Part 2
Lecture 39 Exercises
Lecture 40 The Spinning Space Station
Lecture 41 The Spinning Space Station • Working Through The Code
Lecture 42 Exercises
Section 4: Extra: More on Section 3, Without the Turtles
Lecture 43 The `while` Loop Revisited
Lecture 44 Comparing The `while` and `for` loops
Lecture 45 Defining Functions Revisited
Section 5: The Hungry Turtle • A Python Game
Lecture 46 Here's The Hungry Turtle Game
Lecture 47 Planning the Game
Lecture 48 Create a Player
Lecture 49 Move and Steer the Player
Lecture 50 Teleport
Lecture 51 Equals Equals
Lecture 52 Making Decisions • The `if` Statement
Lecture 53 Back to Teleporting
Lecture 54 Finishing the Teleporting Feature
Lecture 55 Create Food for the Hungry Turtle
Lecture 56 Turtle Eats Food
Lecture 57 Keeping a Score
Lecture 58 Finishing Touches
Lecture 59 Exercises
Section 6: Extra: Adding a Timer to The Hungry Turtle Game
Lecture 60 Introduce the `time` module
Lecture 61 Timers
Lecture 62 Add A Timer to The Hungry Turtle Game
Lecture 63 Exercises
This course is designed for teenagers and younger learners who are new to Python,This course is suitable for those who have never done any coding and those who have some experience with basic programming

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[mitsumi1]

Lick Library - Anthrax Guitar Lessons

Sam Bell | Duration: 0:18 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 429 MB | Language: English

Fans of classic metal unite! Sam Bell teaches you how to play Madhouse by Anthrax. Across two guitar lessons you will learn how to play the rhythm guitar parts and those old school metal riffs, plus the guitar solo.
1. Madhouse[18:43]

Homepage:

https://www.licklibrary.com/learn/artists/anthrax

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[mitsumi1]

Lick Library - Kaiser Chiefs Guitar Lessons & Backing Tracks

Michael Casswell | Duration: 0:22 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 276 MB | Language: English

This easy pop guitar lesson will show you how to play 'Ruby' by the Kaiser Chiefs. You'll learn an easy guitar riff which you'll be able to play to the backing track right away. A perfect rock guitar lesson for beginners.
1. Ruby[22:57]
Backing Tracks
1. Ruby[03:23]

Homepage:

https://www.licklibrary.com/learn/artists/kaiser-chiefs

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[mitsumi1]

Lick Library - Korn Guitar Lessons

Sam Bell | Duration: 0:16 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 400 MB | Language: English

This easy pop guitar lesson will show you how to play 'Freak On A Leash' by the Korn. You'll learn an easy guitar riff which you'll be able to play. A perfect rock guitar lesson for beginners.
1. Freak On A Leash[16:50]

Homepage:

https://www.licklibrary.com/learn/artists/korn

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[mitsumi1]

Lick Library - Learn to play Southbound By Thin Lizzy

Michael Casswell | Duration: 0:24 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 292 MB | Language: English

"Southbound," a track from Thin Lizzy's 1978 live album 'Live and Dangerous', is a masterclass in melding hard rock and blues influences with impeccable guitar work. This song was originally released in the studio album "Bad Reputation" but it's the live version that has garnered a lot of attention. On lead guitar, we have Scott Gorham and Brian Robertson, two players with distinct styles that synergise remarkably well to give Thin Lizzy its characteristic dual-guitar sound.
1. Southbound[24:03]
Backing Tracks
1. Southbound[04:35]

Homepage:

https://www.licklibrary.com/learn/lessons/thin-lizzy/southbound

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[mitsumi1]

Lick Library - Sepultura Guitar Lessons

Sam Bell | Duration: 0:19 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 437 MB | Language: English

Learn how to play Territory by Sepultura with this metal guitar lesson and you will add some excellent D standard tuning metal guitar riffs to your repertoire. Sam Bell leads you through the rhythm guitar parts plus the full guitar solo which features lots of unison string bends.
1. Territory[19:13]

Homepage:

https://www.licklibrary.com/learn/artists/sepultura

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[mitsumi1]

Lick Library - Winger Guitar Lessons

Sam Bell | Duration: 0:26 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 612 MB | Language: English

Reb Beach fans unite! Sam Bell takes a look at how to play Seventeen by Winger in this classic '80s rock guitar lesson. Get to grips with the guitar riffs and full Reb Beach solo across two guitar tutorials.
1. Seventeen[26:48]

Homepage:

https://www.licklibrary.com/learn/artists/winger

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[mitsumi1]

Lua: Programming From Zero To Hero

Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 506.25 MB | Duration: 2h 9m

Master the Art of Lua Scripting: From Fundamental Concepts to Advanced Development

What you'll learn
Lua Syntax and Basics: Understanding the fundamental syntax and constructs of Lua, such as variables, data types, and operators.
Control Structures: Learning how to use conditional statements and loops to control the flow of the program.
Functions: Defining and invoking functions to create reusable code blocks and manage code complexity.
Tables: Working with Lua's primary data structure for organizing and storing data.
Modules and Packages: Organizing code into modules and using packages to extend Lua's capabilities.
Error Handling: Implementing error handling and debugging techniques to create robust Lua applications.
File I/O: Reading from and writing to files to handle data persistence.
Metatables and Metamethods: Using advanced features of Lua to customize the behavior of tables.
Coroutines: Understanding and utilizing coroutines for cooperative multitasking.
Lua in Embedded Systems: Exploring how Lua is used in embedded systems and game development.
Best Practices: Learning the best practices for writing clean, efficient, and maintainable Lua code.
Requirements
No programming experience is needed. You will learn everything you need to know.
Description
In this course, you will learn Lua: Programming From Zero to Hero, Lua is a lightweight, high-level, multi-paradigm programming language designed primarily for embedded use in applications. It is cross-platform, as its interpreter of compiled bytecode is written in ANSI C, making it highly portable. Lua is known for its simple procedural syntax with powerful data description constructs based on associative arrays and extensible semantics. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description. Lua is dynamically typed, runs by interpreting bytecode with a register-based virtual machine, and has automatic memory management with incremental garbage collection, which makes it ideal for configuration, scripting, and rapid prototypingLua Syntax and Basics: Understanding the fundamental syntax and constructs of Lua, such as variables, data types, and operators.Control Structures: Learning how to use conditional statements and loops to control the flow of the program.Functions: Defining and invoking functions to create reusable code blocks and manage code complexity.Tables: Working with Lua's primary data structure for organizing and storing data.Modules and Packages: Organizing code into modules and using packages to extend Lua's capabilities.Error Handling: Implementing error handling and debugging techniques to create robust Lua applications.File I/O: Reading from and writing to files to handle data persistence.Metatables and Metamethods: Using advanced features of Lua to customize the behavior of tables.Coroutines: Understanding and utilizing coroutines for cooperative multitasking.Lua in Embedded Systems: Exploring how Lua is used in embedded systems and game development.Best Practices: Learning the best practices for writing clean, efficient, and maintainable Lua code.Remember to structure your course content in a way that gradually introduces new concepts, provides plenty of examples, and encourages hands-on practice. Good luck with your course!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 About Me
Lecture 3 Making the Best Use of This Course
Section 2: Lua Programming
Lecture 4 Installing Lua
Lecture 5 Hello World in Lua
Lecture 6 Data Types in Lua
Lecture 7 Comments in Lua
Lecture 8 Variables in Lua
Lecture 9 Strings in Lua
Lecture 10 Math in Lua
Lecture 11 If Else in Lua
Lecture 12 Loops in Lua
Lecture 13 User Input in Lua
Lecture 14 Tables in Lua
Lecture 15 OS in Lua
Lecture 16 Functions in Lua
Lecture 17 FileHandling in Lua
Lecture 18 CustomModule in Lua
Lecture 19 OOP in Lua
Lecture 20 Co-Routines in Lua
Lecture 21 Metamethods in Lua
Lecture 22 What next
Section 3: Conclusion
Lecture 23 Conclusion
Lua Programmers,Beginners with no prior programming experience,Programmers with experience in other languages,Game developers,Students,Software developers,Machine learning engineers: Those who might use Lua in the context of Torch, a machine learning library that uses LuaJIT

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[mitsumi1]

Mainframe Db2 Developer Course 1

Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.65 GB | Duration: 7h 9m

DB2, DB2 on Z/OS

What you'll learn
Introduction to DB2
DB2 Objects
DB2 Components: SSAS,DBAS,DDF,SPAS,IRLM
Data types in DB2
Executing SQL commands thru QMF tool
Executing SQL commands thru SPUFI tool
Create table command, Primary key, Unique Index
INSERT,SELECT,UPDATE and Delete commands
SELECT Command: Where, Group By,Order By and Having,Like,Where , *
Joins in DB2
Subqueries in DB2
Requirements
Mainframe basics
Description
In the comprehensive Mainframe DB2 developer curriculum, the initial segment focuses on fundamental concepts. This includes an introduction to DB2, exploration of DB2 objects and components, as well as an in-depth study of datatypes within the DB2 environment. Students will gain practical experience in executing SQL commands using both QMF and SPUFI interfaces, covering essential operations such as CREATE TABLE, INSERT, UPDATE, DELETE, SELECT commands, Join concepts, Sub queries. The subsequent course delves into the integration of DB2 functionalities within COBOL programs, providing learners with hands-on training in implementing DB2 features in COBOL applications.Topics covered:Introduction to DB2Understanding DB2 ObjectsExploring DB2 ComponentsStudying Datatypes in DB2Executing SQL Commands in QMFExecuting SQL Commands in SPUFILearning CREATE TABLE CommandMastering INSERT CommandUnderstanding UPDATE CommandImplementing DELETE CommandExecuting SELECT CommandCreate table with Primary keyCreate table with Composite keyCreate table with referential integrityDiscussed on few SQL commands like -105, -206,-204,-180,-181, -540 and etc.Joins in DB2Inner joinLeft outer joinRight outer joinFull outer joinSub-queriesThe topics outlined above are thoroughly explored on the Mainframe server to facilitate better comprehension and practical knowledge acquisition. Through both Course 1 and Course 2, students will engage in hands-on learning experiences that reinforce their understanding of DB2 concepts and their application within the Mainframe environment.
Overview
Section 1: Introduction to DB2, DB2 Objects, DB2 Components,Intro to QMF,SPUFI, Datatypes
Lecture 1 Introduction to DB2, Differences between Files and DB2
Lecture 2 What is Object in DB2 and Different types of DB2 Objects
Lecture 3 DB2 Architecture components: SSAS, DBAS, IRLM,SPAS,DDF
Lecture 4 Detailed discussion about DB2 Objects Storage, Database,TableSpace objects
Lecture 5 Datatypes in DB2
Lecture 6 Executing SQL commands in QMF
Lecture 7 Executing SQL commands in SPUFI, Creation of TABLE,UNIQUE Index
Lecture 8 INSER,SELECT,UPDATE,DELTETE commands execution in SPUFI
Lecture 9 Primay key and Unique index in DB2
Lecture 10 What is Composite key? and Demo on Composite key
Lecture 11 Demo on Referential Integrity
Section 2: Different options in SELECT command: Where, GROUP BY, HAVING,LIKE,AND,ORDER BY
Lecture 12 Select Command and Different options in SELECT command - Part 1 video
Lecture 13 Select Command and Different options in SELECT command - Part 2 video
Section 3: Joins in DB2
Lecture 14 Demo on Different types of joins
Section 4: Subqueries in DB2
Lecture 15 Subqueries in DB2
Beginners who are learning DB2 first time

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[mitsumi1]

Mastering Numpy For Machine Learning (2024)

Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.63 GB | Duration: 2h 35m

Efficient Data Manipulation and Array Operations for Seamless Machine Learning Implementation

What you'll learn
Introduction to NumPy: Covering basics, array creation, indexing, and slicing, providing a solid foundation for working with arrays efficiently.
Array Operations: Exploring arithmetic operations, aggregation functions like mean, sum, max, and min, and understanding element-wise operations for comprehensi
Array Manipulation: Delving into reshaping, stacking, splitting, and transposing arrays to understand and modify data structures effectively.
Indexing and Slicing: Mastering advanced techniques such as boolean indexing, fancy indexing, and conditional selection to extract and manipulate data subsets a
Random Number Generation: Exploring random sampling methods and probability distributions for simulations and statistical analysis tasks.
Performance Optimization: Covering vectorization, broadcasting, and other optimization techniques to write efficient, high-performance code for numerical comput
Requirements
Basics of Python Programming and Mathematics
Description
Mastering NumPy for Machine Learning: Essential Tools and Techniques" offers a comprehensive exploration of NumPy, the fundamental library for numerical computing in Python, tailored specifically for machine learning practitioners. This course equips participants with the essential skills and techniques required to efficiently manipulate data and perform array operations crucial for seamless implementation of machine learning algorithms.Participants will delve into the core concepts of NumPy, including array creation, indexing, slicing, and manipulation, providing a solid foundation for handling large datasets effectively. Through hands-on exercises and real-world examples, students will learn to leverage NumPy's array operations for arithmetic computations, aggregation functions, and element-wise operations, facilitating data preprocessing and feature engineering tasks.Moreover, the course covers advanced topics such as universal functions (ufuncs), linear algebra operations, random number generation, and file input/output, empowering participants to tackle complex machine learning challenges with confidence. Through optimization techniques like vectorization and broadcasting, students will discover strategies to enhance computational efficiency and streamline their machine learning workflows.By the end of the course, participants will emerge equipped with the expertise to leverage NumPy effectively in their machine learning projects, enabling them to manipulate data efficiently, perform numerical computations with ease, and accelerate the development and deployment of machine learning models.
Overview
Section 1: Introduction
Lecture 1 1. Numpy_Introduction
Lecture 2 2. Numpy_Array_Creation
Lecture 3 3. Numpy_Arange_Reshape
Lecture 4 4. Numpy_Array_Conversion
Lecture 5 5. Accessing Array Values
Lecture 6 6. Numpy_Operations
Lecture 7 7. Fancy Indexing and Sorting Arrays
Lecture 8 8. Array Products and Concatenation
Lecture 9 9. Broadcasting
Data Scientists: Seeking proficiency in handling and analyzing large datasets efficiently for tasks like data cleaning, exploration, and modeling.,Machine Learning Engineers/Practitioners: Wanting to master NumPy for implementing machine learning algorithms, performing data preprocessing, and working with multidimensional arrays.,Researchers: In fields such as physics, biology, engineering, etc., needing to perform complex numerical computations, simulations, and data analysis.,Statisticians: Requiring tools for statistical analysis, hypothesis testing, and exploring datasets with extensive numerical functionalities.,Software Developers: Interested in incorporating numerical computing capabilities into their applications, particularly those involving scientific or data-driven functionalities.,Students: Pursuing studies in computer science, data science, engineering, or related fields, wanting to gain foundational skills in numerical computing with Python.,Professionals in Finance and Economics: Looking to leverage NumPy for financial modeling, risk analysis, and portfolio optimization tasks.,Anyone with an Interest in Numerical Computing: Regardless of professional background, who wants to enhance their skills in numerical computing and data manipulation using Python's NumPy library.

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[mitsumi1]

Mastering Virtualization: Fundamentals And Best Practices

Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.88 GB | Duration: 2h 37m

Virtualization Essentials: Hypervisors, Server & Desktop Management, Security

What you'll learn
Learn how virtualization enables multiple OS to run on a single physical machine, optimizing resource use and simplifying IT operations.
Understand the history of virtualization from mainframes to cloud computing, highlighting key technological breakthroughs and their impacts.
Dive into server, desktop, network, and storage virtualization types, exploring how each enhances flexibility, management, and data efficiency.
Grasp the benefits of virtualization, including cost efficiency, agility, disaster recovery, and challenges like management complexity and security.
Requirements
Basic Understanding of Computing and IT Infrastructure: Students should have a foundational knowledge of computer systems, including hardware (servers, storage devices) and software components.
Familiarity with Operating Systems: An understanding of how operating systems work is crucial since virtualization directly involves running multiple OS instances on a single physical hardware platform.
Networking Fundamentals: Knowledge of basic networking concepts and configurations, including LANs, WANs, network topologies, and protocols, is important as virtualization extensively covers network virtualization and its management.
Experience with Command-Line Interfaces: While not always mandatory, familiarity with using command-line interfaces (CLI) can be beneficial, as many virtualization platforms and tools offer CLI for advanced configurations and troubleshooting.
Problem-Solving Skills: The ability to troubleshoot and solve technical problems is essential, as virtualization involves complex scenarios ranging from resource allocation to ensuring high availability and disaster recovery.
Enthusiasm for Continuous Learning: The field of virtualization is constantly evolving, with new technologies and methodologies emerging. Students should be prepared for continuous learning and keeping up-to-date with industry trends.
Description
Take your skills to the next level with our comprehensive course, "Mastering Virtualization: From Fundamentals to Future Trends." Whether you're new to virtualization or a seasoned pro, this course is designed to give you a deep understanding of the technology that's transforming the IT landscape.We'll start with the basics, covering the history and evolution of virtualization, from mainframe partitioning to its role in cloud computing. You'll learn about the different types of virtualization, including server, desktop, network, storage, and application virtualization, and how they can help optimize IT operations, enhance security, and reduce costs.Next, we'll dive into the nitty-gritty of hypervisor technologies, exploring both Type 1 and Type 2 hypervisors and their applications. You'll get hands-on experience installing and configuring hypervisors, creating virtual machines (VMs), and managing virtual networks and storage.We won't stop there. Our course will also cover advanced topics such as high availability, disaster recovery, and the nuances of network and storage optimization within virtualized environments. You'll learn through real-world scenarios and case studies, so you can apply what you've learned in your professional life.By the end of the course, you'll not only have a solid grasp of current virtualization techniques but also be ready to tackle future trends and innovations in virtualization technology. Whether you're looking to enhance your IT career, manage virtualized environments more effectively, or simply curious about the potential of virtualization, this course will give you the knowledge and skills you need to succeed.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Module 2
Lecture 2 Virtualization Module 2
Lecture 3 Module 2 Self-Guided
Section 3: Module 3
Lecture 4 Virtualization Module 3
Lecture 5 Module 3 Self-Guided
Section 4: Module 4
Lecture 6 Virtualization Module 4
Lecture 7 Module 4 Self-Guided Activities
Section 5: Module 5
Lecture 8 Virtualization Module 5
Lecture 9 Module 5 Self-Guided Activities
Section 6: Module 6
Lecture 10 Virtualization Module 6
Lecture 11 Virtualization Module 6 Self-Guided Activities
Section 7: Module 7
Lecture 12 Virtualization Module 7
Lecture 13 Virtualization Module 7 Self-Guided Activities
Section 8: Module 8
Lecture 14 Virtualization Module 8
Lecture 15 Virtualization Module 8 Self-Guided Activities
Section 9: Module 9
Lecture 16 Virtualization Module 9
Lecture 17 Virtualization Module 9 Self-Guided Activities
Section 10: Module 10
Lecture 18 Virtualization Module 10
Lecture 19 Virtualization Module 10 Self-Guided Activities
Section 11: Module 11
Lecture 20 Virtualization Module 11
Students and Academics: College or university students in computer science, information technology, or related fields who aim to augment their academic knowledge with practical skills in virtualization, which is foundational for careers in cloud computing, data center management, and IT infrastructure.,IT Professionals and System Administrators: Those already working in IT who seek to deepen their understanding of virtualization technologies to improve their skills in managing and optimizing virtual environments. This includes professionals looking to implement or manage virtualized server, desktop, network, or storage solutions.,Tech Enthusiasts and Hobbyists: Individuals with a keen interest in the latest technology trends and practices who want to understand virtualization's role in modern computing environments, including its application in cloud services and the management of virtual networks and devices.,Career Changers: Professionals from other fields looking to transition into IT or computing roles, where understanding virtualization is increasingly considered essential due to its central role in cloud computing and the efficient utilization of IT resources.,Business Decision-Makers and IT Managers: Those responsible for strategizing and making decisions regarding IT infrastructure within organizations, including considerations around cost, scalability, disaster recovery, and security. The course provides the knowledge needed to assess virtualization solutions and their impact on business operations.

Screenshots

rapidgator.net:

https://rapidgator.net/file/c70fd7cd7eb11ddca203b0c14d6a9954/ffwdq.Mastering.Virtualization.Fundamentals.And.Best.Practices.part1.rar.html
https://rapidgator.net/file/b68b66119ecc088b66695fc87b8f67cc/ffwdq.Mastering.Virtualization.Fundamentals.And.Best.Practices.part2.rar.html

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[mitsumi1]

Master Snowflake Snowpro Advanced Architect Essentials

Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.39 GB | Duration: 1h 59m

Unlock Snowflake: Architect Modern Data Solutions in Cloud, Insights for Optimal Performance, Security and Helpful Tips.

What you'll learn
Gain a deep understanding of Snowflake's architecture, including its multi-cluster, shared-data model, and separation of storage and compute.
Master advanced data modeling techniques, such as clustering keys, materialized views, & query optimization, to optimize data organization & query performance.
Explore Snowflake's virtual warehouses and learn how to effectively scale resources, allocate compute power, and optimize performance.
Ensure security and compliance in Snowflake environments by implementing encryption, role-based access control (RBAC), and secure data sharing practices.
Architect and implement data pipelines, real-time data loading, and integration with ETL tools for seamless data processing.
Develop disaster recovery plans, implement backup and restore strategies, and ensure business continuity in Snowflake environments.
Optimize costs through efficient management of Snowflake credits, auto-suspending and scaling resources, and leveraging query and storage optimization features.
Explore emerging trends and innovations in cloud data warehousing, including Snowflake's roadmap and upcoming features, data lake and data mesh architectures.
and much more
Requirements
Willingness or Interest to learn about Snowflake SnowPro Advanced Architect
Description
IMPORTANT before enrolling:This course is not intended to replace studying any official vendor material for certification exams, is not endorsed by the certification vendor, and you will not be getting the official certification study material or a voucher as a part of this course."Snowflake Mastery: Architecting Modern Data Solutions in the Cloud"In today's digital landscape, data has become the lifeblood of businesses, driving decision-making, innovation, and competitive advantage. Snowflake, with its revolutionary cloud data platform, has emerged as a powerhouse in modern data warehousing and analytics. This comprehensive course is designed to equip professionals with the advanced skills and knowledge needed to harness the full potential of Snowflake for building robust and scalable data solutions.SnowPro Advanced Architect certification focuses on validating proficiency in designing, architecting, and implementing complex data solutions using Snowflake.Throughout the course, participants will embark on a journey to delve deep into the intricacies of Snowflake's architecture, exploring its multi-cluster, shared-data model, and the separation of storage and compute. They will gain a profound understanding of how Snowflake ensures security and data isolation, essential for safeguarding sensitive information in today's data-driven world.Moving beyond the fundamentals, participants will master Snowflake's virtual warehouses, learning how to optimize performance and resource allocation effectively. They will explore advanced concepts such as clustering keys, materialized views, and query optimization techniques, empowering them to fine-tune data organization and enhance query performance.The course will also delve into best practices for data modeling and warehousing, providing insights into crafting effective data models, managing time-travel, and implementing slowly changing dimensions (SCDs). Participants will learn to navigate between star and snowflake schemas, while also gaining proficiency in handling semi-structured data, a crucial aspect in today's diverse data landscape.Performance tuning and scaling are vital components of any data solution, and this course equips participants with the knowledge to scale Snowflake resources effectively, monitor query performance, and identify and address performance bottlenecks. They will learn to utilize resource monitors and queues to optimize performance and enhance overall efficiency.Security and compliance are paramount in data management, and participants will explore Snowflake's robust security architecture, including encryption, role-based access control (RBAC), and secure data sharing. They will gain insights into implementing data pipelines, real-time data loading, and integrating Snowflake with ETL tools, ensuring seamless data integration and processing.Business continuity and disaster recovery planning are critical considerations in today's dynamic business environment. Participants will understand Snowflake's high availability architecture, craft effective failover and disaster recovery plans, and implement backup and restore strategies to ensure business continuity in Snowflake environments.Cost optimization and management play a significant role in data projects, and participants will learn to manage Snowflake credits, optimize costs through auto-suspending and scaling resources, and leverage query and storage optimization features for cost efficiency. They will explore strategies for reducing data storage costs, maximizing value while minimizing expenses.Finally, the course will provide a glimpse into future trends and innovations in cloud data warehousing, exploring Snowflake's roadmap and upcoming features. Participants will embrace emerging trends such as data lake and data mesh architectures, preparing them to stay ahead in the ever-evolving landscape of data analytics and architecture.This course empowers professionals to become adept Snowflake architects, capable of architecting modern data solutions that drive business success in the cloud era.Thank you
Overview
Section 1: Snowflake Architecture
Lecture 1 Snowflake's Cloud Data Platform
Lecture 2 Snowflake's Multi-cluster, Shared-data Architecture
Lecture 3 Snowflake's Separation of Storage and Compute
Lecture 4 Security and Data Isolation in Snowflake
Section 2: Advanced Snowflake Concepts
Lecture 5 Snowflake Virtual Warehouses
Lecture 6 Clustering Keys and Data Organization in Snowflake
Lecture 7 Power of Materialized Views in Snowflake
Lecture 8 Fine-tuning Query Optimization Techniques in Snowflake
Lecture 9 Strategies for Effective Data Ingestion and Loading in Snowflake
Section 3: Data Modeling and Warehousing Best Practices
Lecture 10 Effective Snowflake Data Models
Lecture 11 Star and Snowflake Schema in Snowflake
Lecture 12 Time-Travel and Data Versioning in Snowflake
Lecture 13 Slowly Changing Dimensions (SCDs) in Snowflake
Lecture 14 Semi-Structured Data: Best Practices in Snowflake
Section 4: Performance Tuning and Scaling
Lecture 15 Scaling Snowflake Resources for Enhanced Performance
Lecture 16 Monitoring and Optimizing Query Performance
Lecture 17 Identifying and Addressing Performance Bottlenecks
Lecture 18 Utilizing Resource Monitors and Queues for Performance Optimization
Section 5: Advanced Security and Compliance
Lecture 19 Snowflake's Security Architecture: Encryption and Key Management
Lecture 20 Role-based Access Control (RBAC)
Lecture 21 Secure Data Sharing and External Data Sources
Lecture 22 Compliance with Snowflake's Security Standards
Lecture 23 Auditing and Monitoring for Enhanced Security
Section 6: Data Pipelines and Integration
Lecture 24 Data Pipelines with Snowflake Streams
Lecture 25 Real-time Data Loading and Processing
Lecture 26 Integrating Snowflake with ETL Tools: Best Practices
Lecture 27 Change Data Capture (CDC)
Lecture 28 Data Replication and High Availability Strategies
Section 7: Business Continuity and Disaster Recovery
Lecture 29 Snowflake's High Availability Architecture
Lecture 30 Failover and Disaster Recovery Plans
Lecture 31 Effective Backup and Restore Strategies
Lecture 32 Business Continuity Planning in Snowflake Environments
Section 8: Cost Optimization and Management
Lecture 33 Managing and Monitoring Snowflake Credits for Cost Optimization
Lecture 34 Optimizing Costs through Auto-suspending and Scaling Resources
Lecture 35 Leverage Snowflake's Query & Storage Optimization Features for Cost Efficiency
Lecture 36 Strategies for Reducing Data Storage Costs
Section 9: Future Trends and Innovations
Lecture 37 Evolving Landscape of Cloud Data Warehousing
Lecture 38 Snowflake's Roadmap and Upcoming Features: A Glimpse into the Future
Lecture 39 Data Lake and Data Mesh Architectures
Lecture 40 Analyzing Emerging Trends in Data Analytics and Architecture
Data Engineers: Professionals responsible for designing and implementing data pipelines, optimizing data storage and retrieval, and ensuring data quality and reliability.,Data Architects: Individuals tasked with designing data models, schemas, and architectures that support the organization's analytical and reporting needs.,Business Intelligence (BI) Analysts: Analysts who work with data to derive insights and drive informed decision-making within the organization.,Data Scientists: Professionals who analyze complex datasets, develop predictive models, and extract valuable insights to solve business problems.,Database Administrators (DBAs): Administrators responsible for managing and maintaining databases, ensuring data security, and optimizing database performance.,IT Managers and Directors: Leaders responsible for overseeing data initiatives, driving digital transformation, and ensuring alignment with organizational goals.,Cloud Architects: Professionals with expertise in cloud computing who are responsible for designing and implementing cloud-based solutions.,Anyone interested in advancing their career in the field of data management, analytics, and cloud computing.,Whether you are a seasoned data professional looking to expand your skill set or a newcomer eager to enter the field of cloud data warehousing, this course provides the advanced knowledge and practical skills necessary to excel in today's data-driven world.

Screenshots

rapidgator.net:

https://rapidgator.net/file/b8caf06143b26406fb7f04391b903f85/mqznr.Master.Snowflake.Snowpro.Advanced.Architect.Essentials.part1.rar.html
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[mitsumi1]

Microsoft Fabric: End To End Data Engineering Project

Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.45 GB | Duration: 3h 39m

Build Bing News Data Analytics platform using different Data Engineering components of Microsoft Fabric[DP-600][DP-203]

What you'll learn
You will learn to use Microsoft Fabric for building a Bing News Data Analytics platform, enabling seamless integration with Azure Data Engineering components
You will learn the process of ingesting data from external sources, specifically utilizing Bing API, using Data Factory.
You will learn to perform data transformation techniques to shape and refine raw JSON data into curated Delta Tables using Synapse Data Engineering component
You will learn how to perform sentiment analysis using Synapse Data Science component
You will learn how to orchestrate data workflows with Data Factory pipelines.
You will learn how to perform Incremental Load using spark notebooks.
You will learn how to visualize data effectively using Power BI.
You will learn how to configure alerts within Power BI visuals with Data Activator.
Requirements
Basic Programming Skills
Watch the two Pre-requisite videos
Description
In this project, we will build a Bing News Data Analytics platform! This would be a complete end to end Azure Data Engineering project that's done using Microsoft Fabric. We'll pull raw data from Bing API, transform the raw data to clean data with Synapse Data Engineering, analyze sentiment with Synapse Data Science, set up workflows with Data Factory, make cool reports with Power BI, set alerts with Data Activator, and test everything well. Let's get started on Bing News Analytics! The Topics covered in this Project are, 1. Data Ingestion from Bing API using Data Factory: Learn how to seamlessly pull in data from external sources, setting the foundation for your analytics project. 2. Data Transformation using Synapse Data Engineering: Dive into the process of shaping and refining your raw JSON data to a curated Delta Table, including techniques like incremental loading to keep your processes efficient. 3. Sentiment Analysis using Synapse Data Science: Uncover insights hidden within the news description by predicting the sentiment of the news classified as Positive, Negative or Neutral. 4. Orchestration using Data Factory via pipelines: Discover the art of orchestrating your data workflows, ensuring smooth and efficient operations. 5. Data Reporting using Power BI: Visualize your data in a compelling and actionable manner, empowering stakeholders with valuable insights. 6. Configuring Alerts using the Data Activator: Stay ahead of potential issues by setting up alerts and notifications within your Power BI visuals using a new tool called Data Activator. 7. End to End Pipeline Testing: The complete flow will be tested right from the data ingestion to the data transformation and until the report gets updated with the incoming new data to Validate the integrity and performance of your pipelines, ensuring reliability and accuracy. This project revolves around Bing News Data Analytics, a practical application that involves ingesting news data daily and generating insightful reports. By walking through each step in a simplified manner, I aim to make Azure Data Engineering accessible to all enthusiasts, regardless of their background. Pre-requisitesYou don't need to have any skills to do this project. Even if you are an absolute beginner, if you follow the entire course, you will be able to implement this project, The only pre-requisite for this project is, you need to two introductory videos of Microsoft Fabric which is included as part of this course in the section 1. All the very best and Happy Learning!!!
Overview
Section 1: Introduction (Pre-requisites)
Lecture 1 Introduction to Microsoft Fabric
Lecture 2 Create and Enable Microsoft Fabric
Section 2: Build an End to End Project using Microsoft Fabric
Lecture 3 Project Overview
Lecture 4 Environment Setup
Lecture 5 Data Ingestion using Data Factory
Lecture 6 Data Transformation using Synapse Data Engineering
Lecture 7 Incremental Load using Spark Notebook
Lecture 8 Sentiment Analysis using Synapse Machine Learning
Lecture 9 Building Reports using Power BI
Lecture 10 Read Me (*Important*)
Lecture 11 Building Pipelines using Data Factory for Orchestration
Lecture 12 Setting up Alerts using Data Activator
Lecture 13 End to End Pipeline Testing
Are new to Azure Data Engineering and want to learn from scratch.,Data enthusiasts looking to gain practical experience in Azure Data Engineering.,Professionals seeking to expand their skills in data ingestion, transformation, and analysis.,Individuals interested in building data analytics platforms using Azure services.

Screenshots

rapidgator.net:

https://rapidgator.net/file/acaf86727b268392a2c62f936c0d974d/fpdyr.Microsoft.Fabric.End.To.End.Data.Engineering.Project.part1.rar.html
https://rapidgator.net/file/27268e68aa9584cd488082b2573fbb37/fpdyr.Microsoft.Fabric.End.To.End.Data.Engineering.Project.part2.rar.html
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https://nitroflare.com/view/504C1866801D47E/fpdyr.Microsoft.Fabric.End.To.End.Data.Engineering.Project.part3.rar

[mitsumi1]

Office 365: Advanced Ms Excel Formulas, Functions & Tricks.

Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.77 GB | Duration: 3h 13m

111 most useful functions like XLOOKUP, TEXT, Count, DATE, nestle formulas and many more...(MS excel 2013 to Office 365)

What you'll learn
Enable students to achieve more with less effort, less time, and less investment, maximizing productivity and efficiency in data management, and reporting task.
Advanced Formulas and Functions: Mastery of complex functions such as XLOOKUP, TEXT, INDEX-MATCH, IFERROR, VSTACK, COUNTIFS, and nested functions.
Macros (VBA) and Automation: Introduction to Visual Basic for Applications (VBA) to automate repetitive tasks. Learn how to inspect VBA codes.
Advanced Data Visualization: Creation of interactive dashboards using Excel's features like slicers, timelines, combo charts, trendlines, and data validation.
Requirements
Access to Excel Software: Access to Microsoft Excel software (preferably the latest version like from 2013,2016,2019 or Office 365) is essential.
Basic Excel Skills: Understanding of fundamental Excel concepts such as entering data, capy data, save file etc.
Consistency & willingness to Learn: Commitment to completing course all contents, assignments and actively participating in course activities, is crucial for maximizing the learning experience.
Description
Discover Excel's 111 most indispensable functions covering a wide spectrum, from logical and mathematical operations to text manipulation, statistical analysis, financial calculations, and nested formulas. Whether you're performing complex data analysis, financial modeling, or simply formatting text, this comprehensive collection equips you with the essential tools to tackle diverse tasks efficiently, making Excel an indispensable tool for professionals across industries.Excel's text manipulation functions including LEFT, RIGHT, UPPER, LOWER, PROPER, SEARCH, and FIND empower users to efficiently extract, modify, and search for text within cells, facilitating precise data manipulation and analysis in spreadsheets. These functions streamline tasks such as text formatting, case conversion, and locating specific text strings, enhancing productivity and accuracy in Excel workflows.Logical functions such as IF, AND, OR, and NOT facilitate decision-making and conditional logic operations, while Financial functions like PV, FV, NPV, and IRR aid in financial analysis, planning, and investment evaluation.Statistical functions in Excel, including AVERAGE, MAX, MIN, and COUNT, provide essential tools for analyzing and summarizing data, enabling users to derive insights and make informed decisions based on numerical information.Information functions such as ISNUMBER, ISBLANK, and ISTEXT help validate and analyze data types and properties, ensuring data accuracy and integrity. Compatibility functions like CONVERT and COMPLEX facilitate smooth data exchange across different systems and units, enhancing interoperability within spreadsheets.
Overview
Section 1: Introduction
Lecture 1 Mindset & Scope of the course
Section 2: Mathematics and trigonometric functions
Lecture 2 Cells relative reference and absolute reference
Lecture 3 1 Functions_Product, ABS & RAND
Lecture 4 2 Rand between, Roman, Round
Lecture 5 3 Subtotal, Sum, Sumif, Sumifs
Lecture 6 4 Sumproduct, Aggregate functions
Section 3: Lookup & Reference functions
Lecture 7 5 Address, Column, Columns, Row, Rows functions
Lecture 8 6 Offset, Transpose, Hyperlink functions
Lecture 9 7 Vlookup, Hlookup
Lecture 10 8 Xlookup, Match, Xmatch
Section 4: Date and time
Lecture 11 10 Date, day, days, month, year and weekdays
Lecture 12 11 Weeknum, time, hour, minute & second
Lecture 13 12 Edate, Eomonth, Networkdays & workday
Section 5: Logical and Financial
Lecture 14 13 And, or, not & if functions
Lecture 15 14 If and, if or, true, false and iferror
Lecture 16 15 Ifs function
Section 6: Text functions
Lecture 17 16 Left, right, upper, proper, lower search & find
Lecture 18 17 Mid, trim, fixed, & concatenate
Lecture 19 18 Text, t, clean, value & textsplit functions
Section 7: Statistical functions
Lecture 20 19 Average, averagea, averageif & averageifs
Lecture 21 20 Count, counta, countif & countifs
Lecture 22 21 Large, max, maxa, maxif, small & Min
Section 8: Information and compatibility functions
Lecture 23 22 Address, col, row, type & width
Lecture 24 23 Directory, numfile, origin & system
Lecture 25 24 Isblank, iserror, isodd, istext & type
Lecture 26 25 Forecast, sequence, torow, tocol, hstack & vstack
Section 9: Excel Short-cut keys
Lecture 27 26 Short cut keys - 1
Lecture 28 27 Short cut keys - 2
Lecture 29 28 Short cut keys - 3
The advanced Excel course is designed for professionals, analysts, and students who already possess a foundational understanding of Excel and seek to enhance their skills to tackle more complex data analysis, manipulation, and reporting tasks. It is ideal for individuals looking to streamline workflows, increase efficiency, and unlock the full potential of Excel for advanced data-driven decision-making in their respective fields.,This course will further enhance your skills by introducing from basic excel knowledge to more advanced concepts like working with functions, data visualization, and basic data manipulation techniques. It's a great way to solidify your existing knowledge and expand your capabilities in using Excel effectively.

Screenshots

rapidgator.net:

https://rapidgator.net/file/b977472ad53a420c57bcebcb5b41c0c5/kngrm.Office.365.Advanced.Ms.Excel.Formulas.Functions..Tricks..part1.rar.html
https://rapidgator.net/file/eff8bc8c431987a3ceca3e028d934cdd/kngrm.Office.365.Advanced.Ms.Excel.Formulas.Functions..Tricks..part2.rar.html

nitroflare.com:

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[mitsumi1]

Overcome Stress With Mindfulness Practice

Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.07 GB | Duration: 2h 14m

Eliminate stress from your daily life and build new healthy habits

What you'll learn
You will learn abut Mindfulness practice
Eliminating stress with demonstrated videos
Journaling and the benefits from it
Building new habits and happier habits to achieve your goals in your future
You will learn how to practice in any time anywhere stress reduction and head massage tools as well easy strategies to have an immediate effect in your mood
Overcome negative self talk
Who like meditate and getting deeper understanding within
Requirements
No previous experience need it.
You can start it from your home
If you have been meditate for a little while, you can start it straight away this studies
Description
Welcome EveryoneI believe that so many people need right now help about how to overcome stress from their day to day life. Is can be you have a stressful job with lot of responsibilities and no time to relax during each day or might you're a mother and father having children's around you and all you want is a peaceful 5 minute each day when you can express your feelings and needs. With this mindfulness practice I help you through hard times and days and helping you to overcome stress as well building new habits into your life. To create a happy day we have to be only present with our actions and thoughts and the best way to do so is with Mindfulness.Allow me to guide you through and help you to overcome stress anxiety and even depression from your life.I wish for all of you a wonderful journey, and I believe if you put 5 minute efforts each day your life will change completely UI: As a practitioner each day I keep practice mindfulness, and it helped me with my relationship with my partner and others as well having a deeper understanding and accepting myself and being more calmer than before See you very soon,- Daily Motivational Planner -
Overview
Section 1: Introduction
Lecture 1 How Mindfulness Helping us
Lecture 2 Easy breath work practice
Lecture 3 Reduce stress practice
Lecture 4 See the world with a pure eyes
Section 2: Stress release management
Lecture 5 Stress elimination
Lecture 6 Overcome hard days
Lecture 7 Body Scan exercise
Section 3: Mindfulness & Journaling time
Lecture 8 Journaling and tools to feel calm at home practice
Lecture 9 Overview your day section
Lecture 10 Self Acceptance.
Lecture 11 Self Worth session
Section 4: Eliminate = Stress
Lecture 12 Practice 5 minute sessions
Lecture 13 Come on now on stress is not even exist in our head ?
Section 5: End of our studies
Lecture 14 Congratulations ?
Lecture 15 Vision board creating
Who aiming to eliminate Stress and Anxiety from their life and build healthy new habits.,Who has problems with stress in their life,Who aiming to build a new life with healthy habits

Screenshots

rapidgator.net:

https://rapidgator.net/file/f32d04efc2ef3da0357938ccdab1c79b/pdvam.Overcome.Stress.With.Mindfulness.Practice.part1.rar.html
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