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Unreal Engine 4 - Multiplayer Team Based FPS In Blueprints

Unreal Engine 4 - Multiplayer Team Based FPS In Blueprints
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 40 lectures (44h 5m) | Size: 29 GB

Creating A Unreal Engine 4 Team Based FPS With Several Game Modes From Ground Zero In 100% Blueprint Scripting

What you'll learn:
Learn Various Aspects Of Using Unreal Engine 4 By Making An Actual Playable Multiplayer FPS Game
Detailed Explanations Not Just Watching Someone Clicking Buttons
No C++ The Entire Project Is Made Using 100% Blueprint Scripting
Setting Up A Menu With Basic Steam Listen Server Hosting And Joining
Setting Up A FPS Character Using 3 Separate Meshes
Setting Up Weapon Firing For Hitscan And Projectile Based Weapons
Making Team Based Death And Re-spawn System

Requirements
Basic Understanding Of The UI And Navigation Of Unreal Engine 4


Description
What Better Way To Learn The Unreal Engine 4, Than By Creating A Fully Playable Multiplayer Team Based FPS Game. This Course Covers The Process Of Going From A Blank Project All The Way To A Playable Packaged Build That Can Be Distributed For Others To Host And Join The Game Using The A Basic Steam Listen Server.

Who this course is for
This Course Is Targeted For Beginners To Intermediates
People Interested In The Multiplayer Side Of The Unreal Engine 4

Homepage

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The Microsoft Excel Data Analysis Toolkit Bundle

The Microsoft Excel Data Analysis Toolkit Bundle
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 183 lectures (25h 6m) | Size: 10.9 GB

Conquer Data Analysis in Excel with four-comprehensive Excel courses in one

What you'll learn:
How to merge data from different sources using VLOOKUP, HLOOKUP, INDEX MATCH, and XLOOKUP
How to use IF, IFS, IFERROR, SUMIF, and COUNTIF to apply logic to your analysis
How to split data using text functions SEARCH, LEFT, RIGHT, MID
How to standardize and clean data ready for analysis in Excel
Conducting a Linear Forecast and Forecast Smoothing in Excel
All about Histograms and Regression in Excel
How to use Goal Seek, Scenario Manager, and Solver to fill data gaps in Excel
Averages, percentiles, and LINEST functions
Sparklines and data bars
Importing data from other data sources
Advanced data analysis techniques
Financial & Statistical​ Functions
How to create amazing looking dashboards using Pivot Tables
How to format a PivotTable, including adjusting styles
Advanced Sorting and Filtering in PivotTables
How to use 3D Maps from a PivotTable
How to update your data in a PivotTable and Pivot Chart
Create multi-dependent dynamic drop-down lists in Excel
Perform a 2-way lookup in Excel
Automate repetitive tasks in Excel using Macros
How to edit Macros in the VBA Editor
How to write your own macro from scratch

Requirements
Microsoft Excel for Windows. The course was created using Excel 2019/365 for Windows. All of the code used in this course except for one property is compatible for Excel 2007, Excel 2010, Excel 2013, Excel 2016 and Excel 2019.
Intermediate knowledge of Microsoft Excel.


Description
**This course bundle includes practice exercises**

Data Analysis is THE skill you need to thrive in the modern workforce.

Data Analysis is easier than you might think. You don't need to be able to code or understand algorithms. What you need, is a deep understanding of the Microsoft Excel techniques needed to conduct comprehensive data analysis.

In this four-course bundle, we look at a number of advanced Excel techniques all aimed at helping you make sense of the numbers in your business.

In this special course, we've combined four of our full-length titles into one, huge-value bundle. Here's what you get:

Excel for Business Analysts

What you'll learn:

How to merge data from different sources using VLOOKUP, HLOOKUP, INDEX MATCH, and XLOOKUP

How to use IF, IFS, IFERROR, SUMIF, and COUNTIF to apply logic to your analysis

How to split data using text functions SEARCH, LEFT, RIGHT, MID

How to standardize and clean data ready for analysis

About using the PivotTable function to perform data analysis

How to use slicers to draw out information

How to display your analysis using Pivot Charts

All about forecasting and using the Forecast Sheets

Conducting a Linear Forecast and Forecast Smoothing

How to use Conditional Formatting to highlight areas of your data

All about Histograms and Regression

How to use Goal Seek, Scenario Manager, and Solver to fill data gaps

Advanced Excel 2019 Course

What You'll Learn:

What's new/different in Excel 2016

Advanced charting and graphing in Excel

How to use detailed formatting tools

Lookup and advanced lookup functions

Financial functions including calculating interest and depreciation

Statistical functions

Connecting to other workbooks and datasets outside of Excel e.g. MS Access and the web.

How to create awesome visualizations using sparklines and data bars

Mastery of PivotTables and Pivot Charts

Scenario Manager, Goal Seek, and Solver

Advanced charts such as Surface, Radar, Bubble, and Stock Charts

Advanced PivotTables

What You'll Learn:

How to do a PivotTable (a quick refresher)

How to combine data from multiple worksheets for a PivotTable

Grouping, ungrouping, and dealing with errors

How to format a PivotTable, including adjusting styles

How to use the Value Field Settings

Advanced Sorting and Filtering in PivotTables

How to use Slicers, Timelines on multiple tables

How to create a Calculated Field

All about GETPIVOTDATA

How to create a Pivot Chart and add sparklines and slicers

How to use 3D Maps from a PivotTable

How to update your data in a PivotTable and Pivot Chart

All about Conditional Formatting in a PivotTable

How to create amazing looking dashboards

Advanced Formulas in Excel

What You'll Learn:

Filter a dataset using a formula

Sort a dataset using formulas and defined variables

Create multi-dependent dynamic drop-down lists

Perform a 2-way lookup

Make decisions with complex logical calculations

Extract parts of a text string

Create a dynamic chart title

Find the last occurrence of a value in a list

Look up information with XLOOKUP

Find the closest match to a value

This course includes:

25+ hours of video tutorials

170+ individual video lectures

Exercise files to practice what you learned

Certificate of completion

This course was recorded using Excel 2019 and Excel 365. It's also relevant to those using other, recent versions of Microsoft Excel including Excel 2013 and 2016.

Who this course is for
Those wanting to automate Excel task or procedures.
Users with basic knowledge of Excel 2019/365 and those upgrading from previous software versions
Users who have a foundation of Microsoft Excel and seeking to advance their Excel 2019/365 knowledge.

Homepage

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The Complete Supervised Machine Learning Models in R

The Complete Supervised Machine Learning Models in R
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 98 lectures (19h 25m) | Size: 7.23 GB

Learn the Intuition and Math behind Every Model

What you'll learn:
Learn Complete Supervised Machine Learning Models in R, Learn the Math behind every machine learning model, learn the intuition of each model, learn to make simple

Requirements
Basics of Python is required


Description
In this course, you are going to learn all types of Supervised Machine learning Models implemented in R. The Math behind every Model is very Important. Without it, you can never become a Good Data Scientist . That is the reason, I have covered the Math behind every model in the intuition part of each model.

Implementation in R is done in such a way so that not only you learn how to implement a specific Model in R but you learn how to build real times templates and find the accuracy rate of Models so that you can easily test different models on a specific problem, find the accuracy rates and then choose the one which give you the highest accuracy rate.

Now anyone who wants to learn Supervised Machine learning Models in R or Anyone who wants to learn the behind the Machine learning Models or anyone curious about Data Science can enrol in this course as this is the right one for them. I assure you that after you have completed this course you will be a pro in Supervised machine learning models using R language and you will have a grip on all these models.

I am looking forward to see you in the course.

Best Regards

Who this course is for
Anyone who wish to learn supervised machine learning model is the target audience for this course

Homepage

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TTC Video - The Mysterious Etruscans

TTC Video - The Mysterious Etruscans
Course No. 3421 | .M4V, AVC, ~4000 kbps, 1280x720 | English, AAC, 189 kbps, 2 Ch | 24x30 mins | + PDF Guidebook | 20 GB
Lecturer: Steven L. Tuck, Ph.D.

Course Overview

How much do you know about the Etruscans? Many people, even those who are fascinated by ancient history, are less familiar with this intriguing culture than with the history of Greece and Rome-but the story of the Etruscans is equally captivating and far more important than you may have known. This ancient civilization prospered in the region of modern-day Tuscany, maintaining extensive trade networks, building impressive fortified cities, making exquisite art, and creating a culture that, while deeply connected to the Greeks and Romans, had striking contrasts.

The Etruscans were the original inhabitants of central Italy. Centuries before the rise of Rome, they built cities such as Pompeii, Capua, and Orvieto along fortified hilltops. They developed a system of roads and invented what we call the Roman arch. While they had their own system of government, their own myths and legends, and their own cultural attributes, the Etruscans imported and repurposed much from the Greeks-and, in turn, gave much to the Romans.

Etruscan culture acted as a conduit, transmitting Greek art, mythology, language, and cultural icons to Rome, but it also had many unique elements that the Romans later adopted. You might be surprised to find out how much of Roman civilization-from togas to bronze military armor to Rome itself-actually has Etruscan origins. The Etruscans are largely responsible for:

transmitting the alphabet, and therefore writing, to the Romans and other ancient societies as far away as the Nordic regions
granting Rome much of its celebrated architecture and infrastructure, from the Cloaca Maxima water-control system to the storied arch
developing exquisite works of bronze and terra-cotta, as well as mesmerizing tomb paintings
creating well-known symbols of republican government-imagery that still lives on in U.S. government buildings like the Lincoln Memorial
engaging in sports and spectacles such as chariot racing and gladiatorial combat

Without the Etruscans, much of what we associate with the Roman world, and thus the foundations of Western civilization, would largely disappear. The Mysterious Etruscans is your opportunity to discover this astounding culture and fill in a critical gap in your understanding of the ancient world. Taught by Dr. Steven Tuck, an award-winning Professor of Classics at Miami University, these 24 fascinating lectures give you an inside look into a seldom-studied but vitally important history.

Explore This Culture through Historical Detective Work

Little from Etruscan society remains unchanged, which means that to flesh out more than a bare-bones description, we must rely on deductions from the artworks, records, and tombs that survive. Part Sherlock Holmes, part CSI detective, Professor Tuck compiles the evidence to build the case for who the Etruscans were and what impact they made on the world around them. Over the course of his investigation, he considers questions such as:

Where did the Etruscans come from? Did they migrate to the region from Asia Minor, or were they autochthonous-that is, did they spring up in from the region itself? Consider the evidence from primary sources such as Herodotus and the Aeneid, and compare it to the results of modern DNA research.
What can we deduce from their tombs? Funeral practices are slow to change in any society, and therefore tell us much about how a civilization viewed itself in relation to the cosmos, as well as its cultural beliefs and priorities. Professor Tuck takes you inside the Etruscans' famous "cities of the dead," where you'll discover a great deal about Etruscan culture among the living.
Was Rome actually an Etruscan city? The Etruscans built a number of city-states on fortified hills, much like the geography of Rome. Professor Tuck examines the rulers and customs of Rome, as well as its urban design, to show why it isn't too far-fetched to suggest that the city actually has Etruscan origins.
Where did the Etruscans go? Because we know the Etruscans are no longer here, we might assume they gradually folded into Roman culture. Take a look at their final years as a distinct culture-and how the Romans appropriated and repurposed much of what was uniquely Etruscan.

Go Inside the Public and Private Lives of the Etruscans

Beyond their influence on Roman culture, the Etruscans are fascinating in their own right. Their family structures alone make them unique among ancient civilizations. For instance, unlike women in Greek or Roman societies, Etruscan women enjoyed relative equality with men-appearing in public and at social gatherings

One of the most popular forms of social entertainment was the banquet. The Etruscans held banquets to honor the dead, celebrate military victory, and worship the gods, among other reasons. As you'll discover, other societies often viewed the Etruscans as decadent and immoral with all those women out in public, but the Etruscans had different-and, we might say, ahead of their time-cultural beliefs and priorities.

Although original Etruscan cities have largely been built over, Professor Tuck is able to take us inside their homes by looking at the current city foundations as well as the Etruscan necropolises-literal cities of the dead fashioned to mirror their cities for the living. This evidence gives us crucial insight into the Etruscans' sophisticated family structure, as well as their views on children, religion, and more.

Gain a New Perspective on the Ancient World

The Etruscans built an impressive trade network across the Mediterranean. As such, they were able to import much from the Greeks, the Phoenicians, and other societies and bring it to central Italy and the Romans. One of the delights of this course is seeing how the Etruscans took cultural motifs from elsewhere, modified them, and made them their own. For example, you'll see how they borrowed extensively from Greek mythology and adapted it for their own religious practices.

You'll also see how Etruscan culture influenced the larger world around them. One dramatic example is their art, craftsmanship, and metalworking. Tomb paintings, portraits, terra-cotta vessels, and other pieces give us insight into the process of artistic creation and the way art reflects, and in some cases informs, society. Meanwhile, the Etruscan traditions of bronze sculptures, military armor, and more were picked up by the Romans and revived in the Renaissance.

Although they are too often ignored by today's history enthusiasts, the Etruscans had complex religious, social, and governmental customs; built an incredible trade network; and created exquisite and advanced arts and architecture. Their stories may have been overshadowed by their outsized neighbors, but now, The Mysterious Etruscans gives you the chance to fill in those eye-opening details and learn about one of the most interesting civilizations omitted by the history books.

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Deep Learning with PyTorch video edition

Deep Learning with PyTorch video edition
MP4 | Video: AVC 1276 x 716 | Audio: AAC 44 Khz 2ch | Duration: 15:32:46 | 5.41 GB
Genre: eLearning | Language: English

With this publication, we finally have a definitive treatise on PyTorch. It covers the basics and abstractions in great detail.
From the Foreword by Soumith Chintala, Cocreator of PyTorch

Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you-and your deep learning skills-become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun.

about the technology
Although many deep learning tools use Python, the PyTorch library is truly Pythonic. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It's excellent for building quick models, and it scales smoothly from laptop to enterprise. Because companies like Apple, Facebook, and JPMorgan Chase rely on PyTorch, it's a great skill to have as you expand your career options. It's easy to get started with PyTorch. It minimizes cognitive overhead without sacrificing the access to advanced features, meaning you can focus on what matters the most - building and training the latest and greatest deep learning models and contribute to making a dent in the world. PyTorch is also a snap to scale and extend, and it partners well with other Python tooling. PyTorch has been adopted by hundreds of deep learning practitioners and several first-class players like FAIR, OpenAI, FastAI and Purdue.

about the book
Deep Learning with PyTorch teaches you to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. After covering the basics, the book will take you on a journey through larger projects. The centerpiece of the book is a neural network designed for cancer detection. You'll discover ways for training networks with limited inputs and start processing data to get some results. You'll sift through the unreliable initial results and focus on how to diagnose and fix the problems in your neural network. Finally, you'll look at ways to improve your results by training with augmented data, make improvements to the model architecture, and perform other fine tuning.

what's inside
Training deep neural networks
Implementing modules and loss functions
Utilizing pretrained models from PyTorch Hub
Exploring code samples in Jupyter Notebooks
about the audience
For Python programmers with an interest in machine learning.

about the authors
Eli Stevens had roles from software engineer to CTO, and is currently working on machine learning in the self-driving-car industry. Luca Antiga is cofounder of an AI engineering company and an AI tech startup, as well as a former PyTorch contributor. Thomas Viehmann is a PyTorch core developer and machine learning trainer and consultant.

Deep learning divided into digestible chunks with code samples that build up logically.
Mathieu Zhang, NVIDIA

Timely, practical, and thorough. Don't put it on your bookshelf, but next to your laptop.
Philippe Van Bergen, PC Consulting

Deep Learning with PyTorch offers a very pragmatic overview of deep learning. It is a didactical resource.
Orlando Alejo Mendez Morales, Experian

NARRATED BY MARK THOMAS

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C++ Fundamentals: Game Programming For Beginners

C++ Fundamentals: Game Programming For Beginners
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 84 lectures (11h 2m) | Size: 7 GB

Learn to make games using industry standard C++ and Raylib

What you'll learn:
How to write games in C++ from scratch
The basics of Object Oriented Programming (OOP)
Programming fundamentals (inc variables, loops and if-statements)
Clean coding practices and principles
How to compile and run your C++ games and apps
Problem solving and debugging basics with C++
How to use the Raylib simple games library
How to animate 2D characters

Requirements
Comfortable installing new software
Excited to learn programming


Description
Learning to program can be dull, and learning C++ is hard enough without having to learn a game engine as well.

In this course we teach you coding the fun way, by making games! And we'll be using a library so you can focus on learning pure C++ and good programming practice.

You'll start by compiling your first program in C++, using Visual Studio Code as your text editor.

Then create your first axe dodging game using the Raylib library. This project introduces the basic concepts of programming: variables, loops and if-statements.

You expand on this in Dapper Dasher, by building a side-scrolling running game. In addition to covering essential programming concepts such as structs and functions, you'll learn to animate 2D characters and make your game pretty.

In Classy Clash we introduce Object Oriented Programming. You'll learn how this simplifies programming for games and how inheritance can avoid code duplication.

Whether you're a total beginner to programming and want to learn pure C++, or an intermediate Unreal student who wants to explore making games in pure C++, this is the course for you!

There are no course prerequisites, though it'll help if you're comfortable installing new software and excited to learn programming ?

All students have access to the Q&A forums where our Instructors, Teaching Assistants and Community are ready to help answer your questions and cheer on your success. ?

Who this course is for
Anyone looking to learn C++ in a fun way
Total beginners to programming who want to learn pure C++
Intermediate students of Unreal who want to explore making games in pure C++

Homepage

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CCIE Data Center (v3.0) - Technical Classes

CCIE Data Center (v3.0) - Technical Classes
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 11.1 GB | Duration: 23h 55m

With Ratnesh K 2xCCIE #61380 (Data Center | Security )


What you'll learn
Implement routing and switching protocols in Data Center environment
Implement overlay networks in data center
Introduce high-level Cisco Application Centric Infrastructure (Cisco ACI™) concepts and Cisco Virtual Machine manager (VMM) domain integration
Describe Cisco Cloud Service and deployment models
Implement Fibre Channel fabric
Implement Fibre Channel over Ethernet (FCoE) unified fabric
Implement software management and infrastructure monitoring
Implement Cisco UCS Fabric Interconnect and Server abstraction
Implement SAN connectivity for Cisco Unified Computing System™ (Cisco UCS®)
Describe Cisco HyperFlex™ infrastDescribe Cisco HyperFlex™ infrastructure concepts and benefitsructure concepts and benefits
Describe Cisco HyperFlex™ infrastructure concepts and benefits
Implement Cisco automation and scripting tools in data center


Description
Exam Description: The Cisco CCIE Data Center (v3.0) Practical

Exam is an eight-hour, hands-on exam that requires a candidate

to plan, design, deploy, operate, and optimize complex Data

Center networks.

Candidates are expected to program and automate the network

within their exam, as per exam topics below.

The following topics are general guidelines for the content likely

to be included on the exam. Your knowledge, skills and abilities on

these topics will be tested throughout the entire network lifecycle,

unless explicitly specified otherwise within this document.

The exam is closed book and no outside reference materials are allowed.

1. Data Center L2/L3 Connectivity (20%)

1.1 Layer 2 technologies

1.1.a Link Aggregation

1.1.a i vPC

1.1.a ii PortChannel

1.1.b Tagging/Trunking

1.1.c Static Path binding

1.1.d Spanning Tree Protocol

1.1.d i PVST

1.1.d ii MST

1.2 Routing Protocols and features

1.2.a OSPF (v2 and v3)

1.2.a i Authentication

1.2.a ii Adjacencies

1.2.a iii Network types and Area Types

1.2.a iv LSA Types

1.2.a v Route Aggregation/Summarization

1.2.a vi Route Redistribution

1.2.b ISIS

1.2.b i Adjacencies

1.2.b.i.1. Single area, single topology

1.2.b ii Network types, Levels and Router types

1.2.b.ii.1. NSAP addressing

1.2.b.ii.2. Point-to-point, broadcast

1.2.c BGP

1.2.c i Path Selection

1.2.c ii External and Internal Peering

1.2.c iii Route reflectors and Route Server

1.2.c iv Peer Templates

1.2.c v Multi-Hop EBGP

1.2.c vi Route Aggregation/Summarization

1.2.c vii Route Redistribution

1.2.d BFD

1.2.e FHRP

1.3 Multicast protocols

1.3.a PIM

1.3.a i Sparse Mode

1.3.a ii BiDir

1.3.a iii Static RP, BSR, AutoRP, PhantomRP

1.3.a iv IPv4 PIM Anycast

1.3.a v IPv4 Anycast RP using MSDP

1.3.b IGMP

1.3.b i IGMPv2, IGMPv3

1.3.b ii IGMP Snooping

1.3.b iii IGMP Querier

2. Data Center Fabric Infrastructure (15%)

2.1 Physical fabric components

2.1.a Fabric Discovery

2.1.b Controllers/Network Managers

2.1.c Switches

2.2 Fabric policies

2.2.a Access Policies

2.2.b Multi Tenancy

2.2.c Monitoring Policies

2.3 Tenant Policies

2.3.a Application profiles and EPGs

2.3.b Networking

2.3.c Security

2.4 Fabric Monitoring

2.4.a Faults

2.4.b Events

2.4.c Health indicators

2.4.d Audit Logs

2.5 Virtual Networking

2.5.a vSphere VDS

3. Data Center Fabric Connectivity (15%)

3.1 VRF lite

3.2 L3Out

3.2.a OSPF

3.2.a i Authentication

3.2.a ii Adjacencies

3.2.a iii Network types and Area Types

3.2.a iv Route Redistribution

3.2.b BGP

3.2.b i AS manipulation

3.2.b ii External and Internal Peering

3.2.b iii Route reflectors

3.2.b iv Route Redistribution

3.2.c Transit Routing

3.3 Inter Fabric connectivity

3.3.a Multi-Pod

3.3.b Multi-Site

3.3.c Virtual POD

3.3.d remote Leaf

3.4 Overlays

3.4.a VXLAN EVPN

4. Data Center Compute (15%)

4.1 Compute Resources

4.1.a UCSM Policies, Profiles and Templates

4.1.b Hyperflex

4.2 Compute Connectivity

4.2.a SAN/LAN uplinks

4.2.b Rack server integration

4.2.c Port Modes

5. Data Center Storage Protocols and Features (10%)

5.1 FC and FCoE

5.1.a Zoning

5.1.b NPV/NPIV

5.1.c Trunking

5.1.d Portchannel

5.1.e Load Balancing

5.2 iSCSI

5.2.a Authentication

5.2.b Multipathing

5.3 RoCE v2 over IP Networks

6. Data Center Security and Network Services (10%)

6.1 Security features

6.1.a ACL's

6.1.b First Hop Security

6.1.c Port security

6.1.d Private VLANs

6.1.e Contracts

6.2 RBAC

6.2.a Radius

6.2.b TACACS+

6.2.c LDAP

6.2.d AAA

6.3 Network Services Insertion and Redirection

6.3.a Policy Based Routing

6.3.b Policy Based Redirection

6.3.c Inter VRF communication

6.3.d Route Targets

6.3.e Prefix Lists

6.4 Services

6.4.a Flow/Telemetry Export

6.4.b SPAN

6.4.c SNMP

6.4.d Syslog

6.4.e DHCP

6.4.f NTP/PTP

6.5 Traffic management

6.5.a Queueing

6.5.b Policing

6.5.c Classification/Marking

6.5.d Scheduling

6.5.e CoPP

7. Data Center Automation and Orchestration (15%)

7.1 Data center tasks using scripts (Python and Ansible)

7.1.a Create, Read, Update, Delete using RESTful APIs

7.1.b Deploy and modify configurations

7.1.c Statistics, Data Collection

7.2 Data Center Automation and Orchestration using tools

7.2.a DCNM

7.2.b UCSD

7.2.b i Tasks


Who this course is for:
Network designers
Network administrators
Network engineers
Systems engineers
Data center engineers
Consulting systems engineers
Technical solutions architects
Field engineers
Cisco integrators and partners
Server administrator
Network manager


Homepage

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Selenium WebDriver with Java | Project Implement + Framework

Selenium WebDriver with Java | Project Implement + Framework
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 20.2 GB | Duration: 41h 7m

Selenium Webdriver Automation Testing, BDD/ Cucumber framework, End to End integration with Jenkins, Katalon Studio


What you'll learn
Complete understanding of basic to expert Java concepts with practical implementation
Expertise on Selenium WebDriver basics + advance concepts
Automate tests using Selenium WebDriver and Java
Can automation any realtime application and also can design framework from scratch


Description
This course includes Selenium WebDriver Basics and Advanced, Java Concepts, TestNG Framework, Automation Framework Design (Page Objects, Page Factory, Data Driven, Reading Excel Files)

Best reporting tool - Advanced Reporting using ReportNG and XSLT

Parallel execution with Selenium Grid | Maven Build Management, Continuous Integration with Jenkins, Code management with Git integration

This course will take you from basic to expert level step by step, we are covering all java concepts which are required for daily selenium activities and also for preparing selenium interview

Java Basics: Variables, If-Then-Else, For loop, While loop, Arrays, Classes, Inheritance, Objects, Constructors, Methods, Working with Excel file and database

Collection API, OOPS, Properties file etc

Selenium WebDriver Basics: Commonly used methods and locator types, Id, Name, Class Name, Link Text, Partial Link Text, Xpath, Css Selector

Ajax Handling, Multi window handling, Actions class, Implicit wait, Explicit wait.
After completing the the course you will be able to write automated tests using selenium and java

#Selenium #Selenium webdriver with Java #selenium webdriver #selenium java #selenium testing


Who this course is for:
Software QA and Testers who want to start career in automation
Anyone who is interested in learning software test automation


Homepage

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Snowflake Masterclass [Real time demos+Best practices+Labs]

Snowflake Masterclass [Real time demos+Best practices+Labs]
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 6.35 GB | Duration: 13h 8m

Master snowflake cloud data-warehouse with hands on exercises from real time expert.


What you'll learn
Snowflake architecture in detail.
How data processing happens in snowflake.
Secure data sharing in snowflake.
Understand different caching layers in snowflake.
Continues data load using snowpipe.
Clustering tables in snowflake and how it works under the hood.
Load data and unload data from AWS , GOOGLE and AZURE cloud
Loading unstructured data.
Snowflake internal stage and external stages.
Snowflake data sampling and its importance.
Detail overview about, snowflake clone , failsafe and data retention.
Unique features of Snowfalke ( time travel , undrop , table swap)
Scheduling using Tasks
Streams in snowflake
Materialized views
Best practices in snowflake
Snowpro certification compatible.


Description
This course is result of my over 4 years of experience working with snowflake. Snowflake is a fantastic tool to handle huge volumes of data. You can load , query and export and run transactional queries on TB's and PB's of data easily.

You don't have to worry about infrastructure setup, security , performance , tuning , Garbage collection , node failures etc etc...

if you have already worked with Spark with EMR or with Data bricks you will be amazed by snowflake performance and simplicity.

But there is a catch, if you are not fully aware of how things works in snowflake, you will easily loose control and end up writing costly queries and end up using many of snowflake features wrongly.

I mentioned costly queries because snowflake is build for performance.

Costly queries and wrong design decisions in snowflake will sky rocket your snowflake bill. I have made lot of such mistakes and learned from those mistakes.

This course is an effort to walk you through such experiences so that you don't end up doing same mistakes which i did!!!

Few things can only be learned by experience you can't find them in documentations this course will expose such details to you.

Hope you join me in this journey...................

The course is broadly divided into 3 modules,

Module#1

Lectures ------------>: 38

Real time Demos----->: 11

Assignments--------->: 10

Quiz------------------>: 6

This module will concretize snowflake fundamental concepts and architecture.

By the end of this module you will be having very strong foundation about snowflake.

Module#2

Lectures ------------>: 46

Real time Demos----->: 31

Assignments--------->: 14

Quiz------------------>: 2

In this module i will walk you through, different techniques and options to load and unload data

in snowflake.

By the end of this module, you will be having great confidence in using COPY command and

different data processing objects in snowflake.

Module#3

Lectures ------------>: 45

Real time Demos----->: 35

Quiz------------------>: 3

In this module, we closely evaluate important features of snowflake.

This module helps you to understand, how each feature works under the hood.

Through this knowledge you will be in a better position to decide, when to use the feature and when not to use the snowflake features.

High level overview of all modules with sections details is given below,

In module#1,

> Snowflake environment setup.

> Snowflake architecture.

> Snowflake caching , micro-partitions, clusters.

> Snowflake clustering deep dive.

> Snowflake virtual warehouse layer.

> Performance tuning and DB characteristics.

In module#2,

> Loading data in snowflake.

> Loading data using internal stage.

> Load data from aws s3.

> Load data from google gcs.

> Load data from Azure.

> Copy command options.

> Working with copy command.

> Assignments.

> Loading unstructured data

In module#3,

> Snowpipe in snowflake.

> Data sharing in snowflake.

> Time travel.

> Fail safe.

> Clone feature.

> Data sampling.

> Tasks in snowflake.

> Streaming in snowflake.

> Continuous data load.

> Materialized views.


Who this course is for:
Developers planning to learn snowflake database.
Architects who want to understand best practices followed while using snowflake database.


Homepage

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Full Stack Web Development Bootcamp with React and Python (Updated 06/2021)

Full Stack Web Development Bootcamp with React and Python (Updated 06/2021)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 150 lectures (20h 26m) | Size: 8 GB

Practical full stack web development bootcamp: JavaScript, React, Python, Flask, API, Git and VS Code

What you'll learn:
What is API and how API works
How to build Single Page Application using React
Connect frontend application written in React with backend application written in Python
How to build backend API service
Use Python Flask for building backend API service
Use React Components, props and state

Requirements
Basic software development knowledge
Basic programming skills


Description
This is the React and Python Flask Full Stack Web Development Bootcamp. It is a practical course where you will start building real application from the first lecture. Application will consist of the frontend and backend parts. The frontend will be built using JavaScript React. The backend API will be built using Python Flask.

The practical full stack web development bootcamp includes: JavaScript, React, Python, Flask, API, Git and VS Code

During the creation of the frontend app you will perform the following practical tasks:

Initialize a React app using create-react-app

Create different React Components

Use useEffect and useState React hooks

Adjust favicon.ico in the frontend app

Create and insert an svg logo

Making API request to the Unsplash API

Using React props and state

While making an API app you will perform the following practical tasks:

Create a Python virtual environment using pipenv

Install and use Python packages such as Flask, dotenv and Requests

Creating Flask routes

Making external API calls from the Flask app

Accepting requests from the clients

You will also learn how to use following applications:

Visual Studio Code

Git and GitHub

Postman

With this course you will get lifetime-long access to more than 100 lectures and tens of practical exercises. After the course you will become a full stack web developer with practical knowledge about JavaScript React and Python Flask.

Who this course is for
Web developers
Frontend developers
Backend developers
Full stack developers

Homepage

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Java Programming for Complete Beginner - Skillshare

Java Programming for Complete Beginner - Skillshare
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.86 GB | Duration: 9h 58m

This course is for complete beginners , you don't need any prior knowledge. We are going to cover the following concepts.

Obtain Core Java skills

Essential Java basics

What Java is and how it works

Programming fundamentals with Java

JDK - Java Development Kit

JRE - Java Runtime Environment

JVM - Java Virtual Machine

First Java Program

Variable and Data Types

Operators in Java

Control Statements

Looping

All concepts of Object-Oriented Programming

Object

Class

Constructor

Encapsulation

Abstraction

Inheritance

Polymorphism

Interface in Java

Interface in Java8

Interface in Java9

Super and this keyword

Boxing Unboxing

Java Recursion

Call by Value

Strings

Wrapper Classes


Homepage

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Ocean Rendering Using Redshift - Rebelway

Rebelway - Ocean Rendering Using Redshift | 2.3 GB​

Inspiring VFX Courses for Modern FX Artists.
Real-world VFX courses and coaching.

Learn, share and grow together.
- Learn the FX techniques and pipelines used at the world's most successful studios.
- Explore the latest VFX trends and techniques with up-to-date courses covering the latest software releases.
- Accelerate your FX career with courses designed to help artists learn FX techniques as quickly as possible.
- Land your dream job by gaining the skills you need to stand out from the crowd.
- Learn at your own pace. No Zoom links or live sessions.

This is your opportunity to grow your skills and achieve your VFX goals.
WHAT YOU WILL LEARN
TUTORIAL OUTLINE
TIME COMMITMENT
This course will take the student about 15 hours total to watch and practice.
PREREQUISITES
CHAPTER 1 - OCEAN SETUP
CHAPTER 2 - REDSHIFT SETUP
CHAPTER 3 - ADV SHADING
CHAPTER 4 - ENV SETUP & LIGHTING
CHAPTER 5 - NUKE COMPOSITING
Credit

Homepage:

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Spoiler

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Extract files with WinRar 5 or Latest !

 

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