• Regeln für den Video-Bereich:

    In den Börsenbereich gehören nur Angebote die bereits den Allgemeinen Regeln entsprechen.

    Einteilung

    - Folgende Formate gehören in die angegeben Bereiche:
    - Filme: Encodierte Filme von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format DivX, XviD und x264.
    - DVD: Filme im Format DVD5, DVD9 und HD2DVD.
    - HD: Encodierte Filme mit der Auflösung 720p oder darüber von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format x264.
    - 3D: Encodierte Filme von BluRay, die in einem 3D Format vorliegen. Dies gilt auch für Dokus, Animation usw.
    - Serien: Cartoon/Zeichentrick, Anime, Tutorials, Dokumentationen, Konzerte/Musik, Sonstiges sind demnach in die entsprechenden Bereiche einzuordnen, auch wenn sie beispielsweise im High Definition-Format oder als DVD5/DVD9/HD2DVD vorliegen. Ausnahme 3D.
    - Bereich Englisch: Englische Releases gehören immer in diesen Bereich.
    - Bereich Talk: Der Bereich, in dem über die Releases diskutiert werden kann, darf, soll und erwünscht ist.


    Angebot/Beitrag erstellen

    - Ein Beitrag darf erst dann erstellt werden, wenn der Upload bei mindestens einem OCH komplett ist. Platzhalter sind untersagt.
    - Bei einem Scenerelease hat der Threadtitel ausschließlich aus dem originalen, unveränderten Releasenamen zu bestehen. Es dürfen keine Veränderungen wie z.B. Sterne, kleine Buchstaben o.ä. vorgenommen werden. Ausnahme Serienbörse:
    - Bei einem Sammelthread für eine Staffel entfällt aus dem Releasename natürlich der Name der Folge. Beispiel: Die Simpsons S21 German DVDRip XviD - ITG
    - Dementsprechend sind also u.a. verboten: Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist.

    Aufbau des Angebots und Threadtitel

    Der Titel nach folgendem Muster erstellt zu werden. <Name> [3D] [Staffel] [German] <Jahr> <Tonspur> [DL] [Auflösung] <Quelle> <Codec> - <Group>
    Beispiel: The Dark Knight German 2008 AC3 DVDRip XviD - iND
    Beispiel: The Dark Knight 2008 DTS DL BDRip x264 - iND
    Beispiel: The Dark Knight 2008 AC3 DL BDRip XviD - iND
    Beispiel: The Dark Knight German 2008 AC3 720p BluRay x264 iND
    Beispiel: The Dark Knight 2008 DTS DL 1080p BluRay x264 iND
    Beispiel: Die Simpsons S01 German AC3 DVDRip XviD iND
    Beispiel: Die Simpsons S20 German AC3 720p BluRay x264 iND
    Beispiel: Sword Art Online II Ger Sub 2014 AAC 1080p WEBRip x264 - peppermint
    Entsprechend sind also u.a. verboten: Sonderzeichen wie Klammern, Sterne, Ausrufezeichen, Unterstriche, Anführungszeichen / Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist
    Ausnahmen hiervon können in den Bereichen geregelt sein.

    Die Beiträge sollen wie folgt aufgebaut werden:
    Überschrift entspricht dem Threadtitel
    Cover
    kurze Inhaltsbeschreibung
    Format, Größe, Dauer sind gut lesbar für Downloader außerhalb des Spoilers zu vermerken
    Nfo sind immer Anzugeben und selbige immer im Spoiler in Textform.
    Sind keine Nfo vorhanden z.B. Eigenpublikationen, sind im Spoiler folgende Dateiinformationen zusätzlich anzugeben :
    Quelle
    Video (Auflösung und Bitrate)
    Ton (Sprache, Format und Bitrate der einzelnen Spuren)
    Untertitel (sofern vorhanden)
    Hosterangabe in Textform außerhalb eines Spoiler mit allen enthaltenen Hostern.
    Bei SD kann auf diese zusätzlichen Dateiinformationen verzichtet werden.

    Alle benötigten Passwörter sind, sofern vorhanden, in Textform im Angebot anzugeben.
    Spoiler im Spoiler mit Kommentaren :"Schon Bedankt?" sind unerwünscht.


    Releases

    - Sind Retail-Release verfügbar, sind alle anderen Variationen untersagt. Ausnahmen: Alle deutschen Retail-Release sind CUT, in diesem Fall sind dubbed UNCUT-Release zulässig.
    - Im Serien-Bereich gilt speziell: Wenn ein Retail vor Abschluss einer laufenden Staffel erscheint, darf diese Staffel noch zu Ende gebracht werden.62
    - Gleiche Releases sind unbedingt zusammenzufassen. Das bedeutet, es ist zwingend erforderlich, vor dem Erstellen eines Themas per Suchfunktion zu überprüfen, ob bereits ein Beitrag mit demselben Release besteht. Ist dies der Fall, ist der bereits vorhandene Beitrag zu verwenden.
    - P2P und Scene Releases dürfen nicht verändert oder gar unter einem iND Tag eingestellt werden.


    Support, Diskussionen und Suche

    - Supportanfragen sind entweder per PN oder im Bereich Talk zu stellen.
    - Diskussionen und Bewertungen sind im Talk Bereich zu führen. Fragen an die Uploader haben ausschließlich via PN zu erfolgen, und sind in den Angeboten untersagt.
    - Anfragen zu Upload-Wünschen sind nur im Bereich Suche Video erlaubt. Antworten dürfen nur auf Angebote von MyBoerse.bz verlinkt werden.


    Verbote

    - Untersagt sind mehrere Formate in einem einzigen Angebotsthread, wie beispielsweise das gleichzeitige Anbieten von DivX/XviD, 720p und 1080p in einem Thread. Pro Format, Release und Auflösung ist ein eigener Thread zu eröffnen.
    - Grundsätzlich ebenso verboten sind Dupes. Uploader haben sich an geeigneter Stelle darüber zu informieren, ob es sich bei einem Release um ein Dupe handelt.
    - Gefakte, nur teilweise lauffähige oder unvollständige Angebote sind untersagt. Dies gilt auch für eigene Publikationen, die augenscheinlich nicht selbst von z.B. einer DVD gerippt wurden. Laufende Serien, bei denen noch nicht alle Folgen verfügbar sind, dürfen erstellt und regelmäßig geupdatet werden.
    - Untersagt sind Angebote, welche nur und ausschließlich in einer anderen Sprache als deutsch oder englisch vorliegen. Ausnahmen sind VORHER mit den Moderatoren zu klären.


    Verstoß gegen die Regeln

    - Angebote oder Beiträge, die gegen die Forenregeln verstoßen, sind über den "Melden"-Button im Beitrag zu melden.
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.

++ Premium IPTV ++ 7000 Live Sender ++ UHD Qualität ++ Mediathek mit 18.000 Inhalten ++


VenneTV


Englische Tutorials

Udemy: Data Structures and Algorithms in Python

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Data Structures and Algorithms in Python
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 8.6 GB
Genre: eLearning Video | Duration: 336 lectures (33 hour, 35 mins) | Language: English

Learn Data Structures and Algorithms from scratch and crack top companies interview questions




What you'll learn

Learn, implement, and use different Data Structures
Learn, implement and use different Algorithms
Become a better developer by mastering computer science fundamentals
Learn everything you need to ace difficult coding interviews
Cracking the Coding Interview
Time and Space Complexity of Data Structures and Algorithms
Recursion
Big O


Requirements

Basic Python Programming skills


Description

Welcome to the Complete Data Structure and Algorithm in Python Bootcamp, the most modern, and the most complete Data Structure and Algorithm in Python course on the internet.

At 33+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Python. You will see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft and how to face Interviews with comprehensive visual explanatory video materials which will bring you closer towards landing the tech job of your dreams!

Learning Python is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high level programming language.

We'll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer.

After finishing this course, you will be able to:

Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges.

Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications

Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets

Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces.


Why this course is so special and different from any other resource available online?


This course will take you from very beginning to a very complex and advanced topics in understanding Data Structure and Algorithms!

You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course.

You will also see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft.

I cover everything you need to know about technical interview process!


So whether you are interested in learning the top programming language in the world in-depth

And interested in learning the fundamental Algorithms, Data Structures and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you!


And this is what you get by signing up today:


Lifetime access to 32+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want

All videos are downloadable. Learn wherever you want, even without an internet connection!

Friendly and fast support in the course Q&A whenever you have questions or get stuck

FULL money back guarantee for 30 days!


Who is this course for?

Self-taught programmers who have a basic knowledge in Python and want to be professional in Data Structure and Algorithm and begin interviewing in tech positions!

As well as students currently studying computer science and want supplementary material on Data Structure and Algorithm and interview preparation for after graduation!

As well as professional programmers who need practice for upcoming coding interviews.

And finally anybody interested in learning more about data structures and algorithms or the technical interview process!

This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structure and Algorithm , increase your earning potential or just want a job with more freedom, this is the right course for you!



Who this course is for:

Self-taught programmers who have a basic knowledge in Python and want to be professional in Data Structure and Algorithm and begin interviewing in tech positions!
Students currently studying computer science and want supplementary material on Data Structure and Algorithm and interview preparation for after graduation!
Professional programmers who need practice for upcoming coding interviews.
Anybody interested in learning more about data structures and algorithms or the technical interview process!

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Break Free from Stress and Anxiety - The Yogic Way

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Break Free from Stress and Anxiety - The Yogic Way
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 6.94 GB
Genre: eLearning Video | Duration: 34 lectures (5 hour, 17 mins) | Language: English

Experience inner peace with Pranayama, Yoga and meditation




What you'll learn

New Ways Of Dealing With Anxiety
How to Reduce Stress
How To Rewire The Brain for success
Breathing techniques
Pranayama
Yoga
Meditation
Mindfulness

Requirements

No couse requirements
This course is for everyone


Description

In this course, we will go deep and change the way we meet and deal with high stress and anxiety. For thousands of years, yogis have known how to work with the mind, and find inner peace and happiness.

We will dive deep into ourselves and change the way we see our troublesome habits. Students will learn many different pranayamas or breathing techniques that will help them in their daily life. In the course, there are also complete yoga classes, meditation sessions, and mindfulness practices.


I have personally been suffering from anxiety and panic attacks for years, and I know how limiting and all-consuming it can be. After healing my self and now living a life I could only dream of, I am ready to help others achieve the same.


Let us grow together!


Who this course is for:

Students who want to experience a greater sense of inner peace
Men and Women suffering from anxiety
Students who want to reduce stress in their life
Yoga-curious students
Students who want to get a deeper understanding of yoga
The students who want to realize the full potential of our breath

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Modern JavaScript and NodeJS from Beginner to Advanced

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Modern JavaScript and NodeJS from Beginner to Advanced
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 9.17 GB | Duration: 25 section | 103 lectures | (20h 7m)



What you'll learn
Learn everything there is to know about Javascript - from scratch!
JavaScript Basics & Fundamentals
DOM Manipulation
Master the DOM (document object model) WITHOUT jQuery
Learn the power of JSON
Learn to user the Browser Local Storage
OOP ES5 prototypes & ES6 / ES2015 classes
Create real life Applications
Master the latest JS features like async and arrow functions
Node js

Requirements
Basic HTML / CSS knowledge
Basic PC or Mac knowledge

Description
JavaScript is one of the top in demand programming languages and it is climbing to the very top!

Why JavaScript ?

This is a simple to answer, go to google and type in the search bar "Top 10 programming languages" if JavaScript is in the top 5 then take the Course. Not convinced, then go to google and type in the search bar "The 10 most in-demand programming languages for developers at top companies" if JavaScript is in the top 5 then take the Course.


Who this course is for:

Learning JavaScript for the first time? Already using JavaScript and want to master the language? This course is for you!

This course if for anyone who wants to use JavaScript to launch an application, switch careers, or freelance as a JavaScript developer.

What is JavaScript ?

JavaScript is a scripting language that enables you to create dynamically updating content, control multimedia, animate images, and pretty much everything else. .

What is Node.js?

Node.js is an open-source, cross-platform, JavaScript runtime environment (Framework) that executes JavaScript code outside a web browser. Node.js lets developers use JavaScript to write command line tools and for server-side scripting-running scripts server-side to produce dynamic web page content before the page is sent to the user's web browser. Consequently, Node.js represents a "JavaScript everywhere" paradigm unifying web-application development around a single programming language, rather than different languages for server- and client-side scripts.

------ Course Structure ------

This course consists of Theoretical and practical parts with Projects. The first half of the course focuses on teaching you the basic syntax of Javascript. In the first half of the course are many programming exercises and small projects, so you can test your new-found knowledge out. Each of these videos can be easily referenced in the future, so you can always come back and brush up on some topic whenever needed.

------ What You'll Learn ------

Master the basics of the language, easily understanding variables, objects, arrays, and functions

Understand how to design the structure of the code you write, leading to beautiful and easy-to-read programs

Leverage Javascript's built-in methods to increase your productivity regardless of what libraries or frameworks you use

Develop practical skills around higher-order functions that you will utilize for years to come

Observe how the Javascript and browser work together, and how to increase the performance of JS code

Build awesome projects to fill your personal portfolio

Build command line tools from scratch using Node JS

Fetch and manage information from third-party API's


Who this course is for:
Beginner JavaScript
Beginner front end developers
advanced Javascript developers
node js
javascript
web developers
junior web developer
front end
back end
front end web developer
beck end web developer


Homepage

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CGMA - Anatomy Of Clothing 2019 - Ron Lemen

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CGMA - Anatomy Of Clothing 2019 - Ron Leme - 2.3 GB​
An 8-week course on the foundation of visually communicating clothing and fabric, and how different materials react on the human form

Create realistic costumes and materials
In this class, we will deconstruct the materials, from their tensile strength and geometric construction to their surface properties or how they absorb and reflect light. We will work with the armature from the analytical figure drawing class and work on draw through as learned in dynamic sketching class, organizing the clothing into simple easy to use forms using the draw through approach. Other concepts we will cover include the laws of folds, the 7 different types of folds and how they happen, how movement affects the geometry of the drapery, tension points, abstractions and rhythms, rendering and much more. Be prepared to do a lot of construction and rendering.

The more you know, the better.
Week 1 - Architecture of Drapery
Week 2 - Seven Folds, Part 1: Looking for the Wire Frame
Week 3 - Seven Folds, Part 2: Rendering the Wire Frame
Week 4 - Materials, Part 1: Cotton, Velvet, & Silk
Week 5 - Materials, Part 2: Leather, Lace, Nylons, Gortex, Synthetic, & Hardened Materials
Week 6 - Draping the Female Form
Week 7 - Draping the Male Form
Week 8 - Layering/Complex Surfaces

HOmepage:

Screenshots
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Link Download
​
Extract files with WinRar 5 or Latest !
 
The #1 Python Data Scientist: Sentiment Analysis & More

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The #1 Python Data Scientist: Sentiment Analysis & More
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 105 lectures (16h 37m) | Size: 5.88 GB

Build Projects with Machine Learning, Text Classification, TensorFlowNumPy, PyPlot, Pandas, and More in Google Colab...

What you'll learn:
Process text data
Interpret sentiment in reviews
Build a model to predict whether a review is positive or negative
Implement logic
Track data
Customize graphs
Implement responsiveness
Build data structures
Graph data with PyPlot
Build 3D graphs with PyPlot
Use common array functions
Replace Python lists with NumPy arrays
Build and use NumPy arrays
Use Pandas series
Use Pandas Date Ranges
Read CSVs with Pandas
Use Pandas DataFrames
Get elements from a Series
Get properties from a series
Series operations
Modify series
Series comparisons and iteration
Series operations
And much more!

Requirements
No OS requirement but the tutorials are recorded on a Mac with Google Colab
No experience necessary


Description
Learn everything you need to become a data scientist.

Machine learning is quickly becoming a required skill for every software developer.

Enroll now to learn everything you need to know to get up to speed, whether you're a developer or aspiring data scientist. This is the course for you.

Your complete Python course for image recognition, data analysis, data visualization and more.

Reviews On Our Python Courses:

"I know enough Python to be dangerous. Most of the ML classes are so abstract and theoretical that no learning happens. This is the first class where we use concrete examples that I can relate to and allow me to learn. Absolutely love this course!" - Mary T.

"Yes, this is an amazing start. For someone new in python this is a very simple boot course. I am able to relate to my earlier programming experience with ease!" - Gajendran C.

"Clear and concise information" - Paul B.

"Easy to understand and very clear explanations. So far so good!!!" - Alejandro M.

This is a once in a lifetime chance to enroll in a massive course.

Absolutely no experience necessary. Start with a complete introduction to Python that is perfect for absolute beginners and can also be used a review.

Jump into using the most popular libraries and frameworks for working with Python. You'll learn everything you need to become a data scientist. This includes:

0. Python Crash Course for Beginners

Learn Python with project based examples. Get up and running even if you have no programming experience. Superboost your career by masterig the core Python fundamentals.

1. Data Science with NumPy

Build projects with NumPy, the #1 Python library for data science providing arrays and matrices.

2. Data Analysis with Pandas

Build projects with pandas, a software library written for the Python programming language for data manipulation and analysis.

2. Data Visualization with PyPlot

Build projects with pyplot, a MATLAB-like plotting framework enabling you to create a figure, create a plotting area in a figure, plot lines in a plotting area, decorate the plot with labels and much more. Learn it all in this massive course.

3. Machine Learning Theory

Machine learning is in high demand and is quickly becoming a requirement on every software engineer's resume. Learn how to solve problems with machine learning before diving into practical examples.

4. Introduction to TensorFlow

Build projects with TensorFlow, the most popular platform enabling ML developers to build and deploy machine learning applications such as neural networks. Build your first linear regression model with TensorFlow. Learn how to build a dataset, model, train and test!

5. Build a Sentiment Analysis Model to Classify Reviews as Positive or Negative

All source code is included for each project.

If you buy one course this year, this is it. Sign up while spots are open.

Who this course is for
Anyone who needs to learn sentiment analysis and more
Anyone who needs to learn Python
Anyone who needs to know more about machine learning
Anyone who needs to graph with Python
Anyone with no Python experience
Anyone who needs an efficient way to analyze data
Anyone with little to no programming experience
Anyone who wants to use efficient arrays
Anyone with little to no knowledge of machine learning

Homepage

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Spring Security Master Class

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Spring Security Master Class
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 6.78 GB | Duration: 9 section | 132 lectures | (13h 2m)



What you'll learn
Understand how Spring Security fits into the Spring Ecosystem
Understand Security Concepts
Learn the Spring Security architecture
Learn how to implement Spring Security
Learn how to leverage Spring Boot test support including Junit 5, BDD, Mockito, MockMvc
Learn how to leverage Spring Security JUnit test support
Learn how to leverage various Authentication and Authorization features using Spring Security
Learn how to implement Jdbc-based authentication and authorization
Learn how to implement JPA-based authentication and authorization
Learn how to implement Document-based authentication and authorization with MongoDB
Learn Spring Security with a code-base that has been tested with 99% branch coverage
Learn how to use the remeber-me service
Learn x.509 client certificates

Requirements
Must be familiar with the Java programming language... a minimum of an intermediate level of core Java is ideal
Understanding of web applications is required
Intermediate Springframework experience
No Spring Security experience required
SQL experience helpful
JPA experience helpful
MongoDB / Document database experience helpful
JUnit experience helpful

Description
Description

This course is a deep-dive into the Spring Security project. In this course, we will learn how to identify security issues with our applications and how Spring Security can help solve those issues.

This application has extensive testing and extensive documentation so you will completely understand each security task in each section and why that task is being done as well as what side-effects might occur due to the changes we make.

We will take a very incremental approach to each and every section task, so you will build your deep knowledge of Security and the Spring Security module and by the end of this course, you will have a deep theoretical as well as hands-on practical knowledge of all of the Security topics covered in this course.

Course Outline:

By the end of the course you will:

Detail the topics of this course including:

Introduction to Application Security

Introduction to the Spring Ecosystem

Introduction to Spring Security

How to perform security-based tests in Spring

Testing support for Spring-based Applications

Customizing Authentication

Leverage JDBC for Authentication and Authorization

Leverage Spring-Data for Authentication and Authorization

Leverage MongoDB and Spring-Data for Authentication and Authorization

Course Overview:

Section 1: Introduction to this course

Section 2: Introduction To Security

Section 3: The Spring Ecosystem

Section 4: Getting Started with Spring Security

Section 5: Spring Security Testing

Section 6: Customizing Authentication

Section 7: Leveraging JDBC for Authentication and Authorization

Section 8: Leveraging JPA for Authentication and Authorization


Who this course is for:
Intermediate to Advanced Spring Developers
Spring developers interested in application security concepts
Spring developers interested in adding security configuration to Spring Boot applications


Homepage

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SAP MM Materials Management (beginner to expert level)

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SAP MM Materials Management (beginner to expert level)
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | Size: 6.82 GB | Duration: 21 section | 33 lectures | (18h 55m)



What you'll learn
Prepare for SAP MM Certification exam
Gain knowledge to become a top SAP MM Consultant
Master SAP MM module from beginner to expert level
Introduction to ERP and SAP
Master Data
Configuration of Organizational Structures and Material Master
Purchasing and Release Procedure & Document Types for Purchasing Documents
Purchasing Optimization
Pricing in MM and Pricing Procedure
External Service Management
Consumption Based Planning and Forecast
Inventory Management and Movement Types
Physical Inventory
Special Stocks and Special Procurement Types
Procurement Process
Valuation and Account Determination
Logistics Invoice Verification
Cross-Functional Customizing in MM
Integration Concepts
Requirements
Enthusiasm and determination to make your mark on the world!

Description
SAP MM (Materials Management) is a module of the SAP ERP software package from SAP AG that is used for Procurement Handling and Inventory Management.

SAP Materials management covers all tasks within the supply chain, including consumption-based planning, planning, vendor evaluation and invoice verification. It also includes inventory and warehouse management to manage stock until usage dictates the cycle should begin again. Concepts such as Electronic Kanban / Just-in-Time delivery are supported within MM.

Materials management is integrated with other modules such as SAP SD, SAP PP and SAP QM. SAP MM is used for procurement and inventory management. The module has two important master data - material and vendor. Broadly, the various levels that can be defined for a SAP MM (Material management) implementation are: Client, Company Code, Plant, Storage Location and Purchase Organization.

SAP MM can be divided into five major components. These are: materials management, plant maintenance, quality management, production planning and control, and a project management system. Each is divided into number of sub-components.

SAP MM (Material management) is all about managing the materials i.e the resources of an organization. These resources include man, manpower and materials. The main functionality within MM (Material management) includes purchasing, Inventory management, valuation and assignment, batch management and classification. In simple words, SAP Material Management is a fundamental module of the SAP ERP (Enterprise Resource Management) system that manages the complete material supply chain and inventory management processes of an organization.

SAP MM is essentially an element of Logistics. It is counted as one of the most important modules when talking about SAP ERP software. The MM application module allows the user to manage and procure the data in a very organized manner. SAP MM module has plenty of aspects such as receiving and purchasing goods, material storage, inventory and most importantly planning based on consumption.

SAP MM is the key area within Logistics in SAP. It is very important component of Logistics because it is tightly integrated with all of other components of SAP Logistics. MM contains of the following components:

MM-PUR : Purchasing

MM-IM : Inventory Management

MM-CBP : Consumption based Planning

MM-IV : Invoice Verification

MM-EDI : Electronic Data Inter-exchange

MM-IS : Information System

This SAP Material Management (MM) course by Uplatz enables you to understand the end to end process of Supply Chain Management which helps the organization to optimize the inventory and effectively execute the procurement process. This course deals with the process of direct procurement to material requirement planning and from purchasing to pricing.

The SAP MM training provides you insight into various procurement and goods movement processes in an organization that aims in optimizing, increasing productivity and reducing cost while providing flexibility to accommodate changes.

This SAP MM training will help you gain complete knowledge on several components and sub-components of SAP Material Management, including Master Data, Purchasing, consumption-based planning, and Inventory. Our SAP MM course materials are designed in simple modules by industry experts for easy understanding and help you sail through the exam in the first attempt itself.

Course Objectives

SAP MM Module online training will train the student in all the aspects of SAP MM Module. By the end of the training program, one will be thorough will all the characteristics of the software. These comprise of:

Source Determination

Requirements Determination

Correct selection of vendor

PO Processing

Follow up of PO

Purchasing and receiving of goods along with efficient inventory management.

And finally verification of Invoice

SAP MM - Course Curriculum

Introduction to ERP & SAP

ERP Packages

Introduction to SAP

Functions and Objectives of MM

SAP Logistics Cycle SD/MM/PP

MM Flow And Procurement Types

SAP Navigation

Organizational structure of an Enterprise in the SAP R/3 System

Company, Company code, Controlling Area, Plant, Storage Location, Purchase Organization, Purchasing group

Controlling Settings (Cost Center and Cost Element Etc.)

Master Data

Material Master

Vendor Master

Purchase Info Record

Source Determination

Source List

Quota Arrangement

Purchasing

Purchase Requisition

Purchase Order

Request For Quotation (RFQ)

Outline Agreement

Contracts

Schedule Agreement

Document Types for Purchasing Documents

Define Document Type

Define Number Ranges for Document Types

Define Screen Layout At Document Level

Release Procedure for Purchasing Documents

Purchase Requisition, Purchase Order, Request For Quotation (RFQ), Outline Agreement- Contracts, Schedule Agreement

Pricing Procedure

Maintain Condition Table

Define Access Sequence

Define Condition Types

Define Calculation Schema

Define Schema Group

1. Schema Group Vendor

2. Schema Group for Purchasing Organization

3. Assignment of Schema Group to Purchasing Organization

Define Schema Determination

Determine Calculation Schema for Standard Purchase Orders

External Service Management

Service Master Creation

Model Service Specifications - MSS

Service PO

Service Entry Sheet

Optimized Purchasing

Automatic PO w ref to PR

Automatic PO at GR

Inventory Management

Movement types

Goods Receipt

Goods Issue

Transfer Postings

1. Transfer Posting from Stock to Stock

2. Transfer Posting from Plant to Plant

3. Transfer Posting from Sloc to Sloc

4. Transfer Posting from Material to Material

Return Delivery to vendor

Initial Entry of Stock Balances

Reservations

Physical Inventory

Types of Physical Inventory

Creating Physical Inventory Document

Entering Physical Inventory Count

List Of Inventory Differences

Post the Difference

Special Stocks and Special Procurement Types

Consignment

Stock transport order

Subcontracting

Pipeline

Returnable transport packaging - RTP

Third Party Processing

Batch Management in MM

Condition Tables

Access Sequence

Strategy Types

MM Batch Search Procedure

Batch Status in MM

Characteristics and class

Sort Sequence for MM Batch

SLED In Batch in MM

Manual And Automatic Batch Display In MM

Valuation and Account Determination

Introduction to Material Valuation

Split Valuation

Configure Split Valuation

Defining Global Categories

Defining Global Type

Defining Local Definition& Assignment

Invoice Verification

Basic Invoice Verification Procedure

Invoice for Purchase Order

Unplanned Delivery Costs

Planned Delivery Costs

Credit Memo

Blocking the Invoice

Releasing Blocked Invoices

Subsequent Debit/Credit

Automatic Settlements (ERS, Cosignment,Pipeline)

GR/IR Account Maintenance

Stochastic Block

Parking Invoice Document

Integration Concepts

Integration of MM with FI/CO

Automatic Account Determination

Integration of MM with SD

Stock Transport Order (STO)

Intra Company Stock Transfer

Inter Company or Cross Company Stock Transfer

Third Party Processing

Integration of MM with PP

MRP Concepts

Planned Independent Requirements

Consumption Based Planning

Reorder Point Planning

Forecast Based Planning

Integration of MM with WM

Introduction to Warehouse Management

Warehouse management overview in SAP R/3

Organization Data

Warehouse Structure

WM Flow with MM/SD/PP/QM

Organization Data

Define Warehouse Organization structure

Warehouse number, Storage type, Storage section, Storage Bin, Storage Bin Structure, Storage Bin Types, Picking Area, Storage unit, Quant

Master Data

Material Master

Search Strategies

Storage Type Search Strategies, Storage Section Search Strategies, Storage Bin Type Search Strategies

Storage Bins

Define Storage Bin Types, Define Blocking Reasons, Define Storage Bin Structure

WM Settings for the Material Master

Define Storage Type Indicators, Define Storage Unit Types, Define Storage Section Indicators, Define Special Movement Indicator

Integration of MM with QM

Master Inspection Characteristics, Sampling Procedure, Quality Inspection types, Quality Inspection Planning, Quality Inspection Lot, Record Quality Results and Record Usage Decision for the Quality Inspection Lot.

Summarized list of Key Topics covered in this course

Introduction To MM

Introduction to ERP

SAP Overview

Functions and Objectives Of MM

Overview Cycle of MM

Organizational structure of an Enterprise in the SAP R/3 System

Creation of Organizational Elements

Company

Company code

Plant

Storage Location

Purchasing Organization

Purchasing Group and Assignments

Master Data

Material Master

Vendor Master

Info Record Source Determination

Source Determination

Material Master

Vendor Master

Info Record

Source Determination Purchasing

Purchase Requisition

Purchase Order

RFQ - Request for Quotation

Outline Agreements Document Types for Purchasing Documents (PR, PO, RFQ, Contract and Schedule Agreement)

Define Document type

Define Number Ranges for Document Type

Define Screen Layout at Document Level Release Procedure for Purchasing Documents:

Creation of Characteristics

Creation of Class

Release Group, Release Codes, Release Indicator, Release Prerequisite, Release Strategies Conditions or Pricing Procedure or Price Determination:

Define Access sequence

Define Condition Types

Define Calculation Schema

Define Schema Group

Schema group vendor

Schema group purchasing organization

Assignment of Schema group to purchasing Organization

Define Schema Determination

Determine Calculation Schema for Standard Purchase Orders External Services Management (ESM):

Define Organization status for service categories

Define service category

Define Number Ranges

Define Number Ranges for Service Entry Sheet

Define Internal Number Ranges for Service Entry Specification

Assign Number Ranges

Define Screen Layout

Procedure For Services

Creation of Service Master

Creation of Service PO

Creation of Service Entry Sheet

Invoice wref Service Entry Sheet Inventory Management (IM):

Goods Movement

Goods Receipt - GR

Goods Issue - GI

Transfer Posting - TP

Reservation Physical Inventory (PI):

Types of PI processes

Creating Physical Inventory Document

Entering Physical Inventory Count

List Of Inventory Differences

Post the Difference

Print Out PI Difference Report Special Stocks and Special Procurement Types:

Consignment

Stock transport order

Subcontracting

Pipeline

Returnable transport packaging - RTP

Third Party Processing Valuation and Account Determination:

Introduction to Material Valuation

Split Valuation

Configure Split Valuation

Defining Global Categories (Valuation Category)

Defining Global Type (Valuation Types)

Defining Local Definition& Assignment (Valuation Area)Valuation and Account Determination:

Basic Invoice Verification Procedure

Invoice for Purchase Order

Planned Delivery Costs

Unplanned Delivery Costs

Credit Memo

Blocking the Invoice

Releasing Blocked Invoices

Subsequent Debit/Credit

Automatic Settlements (ERS)

GR/IR Account Maintenance

Invoice for Tax, Discounts, Terms of Payment

Invoices for PO's with Account Assignment

Parking Invoice

Invoice With reference to Service Entry Sheet Integration With Other Modules:

Integration of MM with FI/CO

Integration of MM with SD

Integration of MM with PP

Benefits of SAP MM

Customer demands are changing rapidly, an organization's efficiency is measured primarily by its ability to cater to the market demands in the shortest time possible. For this to happen, the business has to have stock of the required raw materials at the right time and must be able to use it efficiently A proper Material Management process ensures that there is never a shortage of materials or any gaps in the supply chain process of the organization. The SAP MM automates the procurement and material management activities to make the processes smoother and effective. Some prominent benefits of SAP MM are:

Reduces material costs by avoiding stocking of unnecessary or obsolete materials

Inventory losses are minimized

Direct labor costs are reduced and labor can be used efficiently

Manufacturing cycle times are reduced and can be controlled effectively

Effective inventory management and reduces expenditure on unwanted material storage

Improves delivery time and increases transparency across the organization


Who this course is for:
SAP MM Consultants, End Users, Managers
SAP MM/WM/PP/PM/SD/QM Consultants & Analysts
SAP Logistics Consultants & Managers
SAP S/4HANA MM Consultants, Managers, End Users
Newbies and Beginners aspiring for a career in SAP
Store Managers, Inventory Managers
SAP SRM, SCM, EWM Consultants
Technology Consulting: SAP S/4HANA SD/MM Managers
SAP & ERP Professionals
Business Analysts & Consultants
SAP Specialists
Solutions Architect SME
Anyone having interest in SAP MM and Inventory Management


Homepage

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RA: Data Science and Supply Chain analytics. A-Z with Python

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RA: Data Science and Supply Chain analytics. A-Z with Python
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 21.2 GB | Duration: 24 section | 404 lectures | (36h 58m)



What you'll learn
A-Z Guide to Mastering Python for Data Science.
Work as A demand Planner.
Become a data driven supply chain manager.
Use linear Programming in python for logistics optimization and Production scheduling.
Set stock policies and safety stocks for all of your Business products.
Revenue management
Segment Customers, Products and suppliers to maximize service levels and reduce costs.
Learn simulations to make informed supply chain decisions.
Become a supply chain data scientist.
Learn Supply chain techniques you will only find in this course. Guaranteed!

Requirements
Excel
Anaconda
spyder

Description
"After our Data Science and supply chain analytics with R course being dubbed the highest rated course in supply chain on Udemy, we are pleased to Introduce Data Science and supply chain analytics. A-Z with Python !! "

It's been six years since I moved from Excel to data science and since then I have never looked back! With eleven years between working in Procurement, lecturing in universities, training over 2000 professionals in supply chain and data science with R and python, and finally opening my own business in consulting for two years now. I am extremely excited to share with you this course and learn with you through this unique rewarding course. My goal is that all of you become experts in data science and supply-chain. I have put all the techniques I have learned and practiced in this one sweet bundle of data science and supply chain.

As a consultancy, we develop algorithms for retailers and supply chains to make aggregate and item controllable forecasting, optimize stocks, plan assortment and Maximize profit margin by optimizing prices. 7500 people are already using our free package for supply chain analysis "Inventorize" and we can't wait to share its capabilities with you so you can start dissecting supply chain problems...for free!

The motivation behind this project is filling the gap of finding a comprehensive course that tackles supply chains using data science. there are courses for data science, forecasting, revenue management, inventory management, and simulation modeling. but here we tackle all of them as a bundle. Lectures, Concepts, codes, exercises, and spreadsheets. and we don't present the code, we do the code with you, step by step.

the abundance of the data from customers, suppliers, products, and transactions have opened the way for making informed business decisions on a bigger and more dynamic scale that can no longer be achieved by spreadsheets. In this course, we learn data science from a supply chain mindset.

Don't worry If you don't know how to code, we learn step by step by applying supply chain analysis!

*NOTE: Full course includes downloadable resources and Python project files, homework and course quizzes, lifetime access, and a 30-day money-back guarantee.


Who this course is for:

· If you are an absolute beginner to coding, then take this course.

· If you work in supply-chain and want to make data-driven decisions, this course will equip you with what you need.

· If you are an inventory manager and want to optimize inventory for 1000000 products at once, then this course is for you.

· If you work in finance and want to forecast your budget taking trends, seasonality, and other factors into account then this course is just what you need.

· If you are a seasoned R user, then take this course to get up to speed quickly with R capabilities. You will become a regular R user in no time.

· If you want to take a deep dive (not just talking) in supply chain management, then take this course.

· If you want to apply machine learning techniques for supply -chain, we will walk you through the methods of supervised and unsupervised learning.

· If you are switching from Excel to a data science language. then this course will fast track your goal.

· If you are tired of doing the same analysis again and again on spreadsheets and want to find ways to automate it, this course is for you.

· If you are frustrated about the limitations of data loading and available modules in excel, then Moving to R will make our lives a whole lot easier.

Course Design

the course is designed as experiential learning Modules, the first couple of modules are for supply chain fundamentals followed by Python programming fundamentals, this is to level all of the takers of this course to the same pace. and the third part is supply chain applications using Data science which is using the knowledge of the first two modules to apply. while the course delivery method will be a mix of me explaining the concepts on a whiteboard, Presentations, and R-coding sessions where you do the coding with me step by step. there will be assessments in most of the sections to strengthen your newly acquired skills. all the practice and assessments are real supply chain use cases.

Supply chain Fundamentals Module includes:

1- Introduction to supply chain.

2- Supply chain Flows.

3- Data produced by supply chains.

Python Programming Fundamentals Module includes:

1- Basics of Python

2- Data cleaning and Manipulation.

3- Statistical analysis.

4- Data Visualization.

5- Advanced Programming.

Supply chain Applications Module include :

1- Product segmentations single and Multi-criteria.

2- Supplier segmentations.

3- Customers segmentations.

4- Forecasting techniques and accuracy testing.

5- Linear Programming and logistics optimizations.

6- Pricing and Markdowns optimization Techniques.

7- Inventory Policy and Safety stock Calculations.

8- Inventory simulations.

9- Machine Learning for supply-chain.

10- Simulations for optimizing Capacity and Resources.

*NOTE: Many of the concepts and analysis I explain first in excel as I find excel the best way to first explain a concept and then we scale up, improve and generalize with Python. By the end of this course, you will have an exciting set of skills and a toolbox you can always rely on when tackling supply chain challenges. The course may take from 12-16 weeks to finish, 4-5 hours of lectures, and practice every week.

Happy Supply Chain mining!

Haytham

Rescale Analytics

Feedback from Clients and Training:

"In Q4 2018, I was fortunate to find an opportunity to learn R in Dubai, after hearing about it from indirect references in UK.

I attended a Supply Chain Forecasting & Demand Planning Masterclass conducted by Haitham Omar and the possibilities seemed endless. So, we requested Haitham to conduct a 5-day workshop in our office to train 8 staff members, which opened us up as a team to deeper data analysis. Today, we have gone a step further and retained Haitham, as a consultant, to take our data analysis to the next level and to help us implement inventory guidelines for our business. The above progression of our actions is a clear indication of the capabilities of Haitham as a specialist in R and in data analytics, demand planning, and inventory management."

Shailesh Mendonca

Commercial lead-in Adventure AHQ- Sharaf Group

" Haytham mentored me in my Role of Head of Supply Chain efficiency. He is extremely knowledgebase about the supply concepts, latest trends, and benchmarks in the supply chain world. Haytham's analytics-driven approach was very helpful for me to recommend and implement significant changes to our supply chain at Aster group"

Saify Naqvi

Head of Supply Chain Efficiency

"I participated in the training session called "Supply Chain Forecasting & Management" on December 22nd 2018. This training helped me a lot in my daily work since I am working in Purchase Dpt. Haytham have the pedagogy to explain us very difficult calculations and formula in a simple way. I highly recommend this training."

Djamel BOUREMIZ

Purchasing Manager at Mineral Circles Bearings


Who this course is for:
Python
Supply chain.
Analytics
Forecasting
Inventory
Pricing
Machine learning
Revenue Mangement
Linear Programming
Simulations


Homepage

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JSON Web Token (JWT) with Spring Security And Angular

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JSON Web Token (JWT) with Spring Security And Angular
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 9.11 GB | Duration: 1 section | 12 lectures | (4h 43m)



What you'll learn
JSON Web Token (JWT)
Authentication
Authorization
Stateless Session Policy
Manage User Security Roles
Manage User Security Permissions
Mitigation of Brute Force Attack
Secure API Endpoints
Password Encryption
Role-based Access Control

Requirements
Familiarity with Java, Spring Framework
Familiarity with Angular
Familiarity with front-end web technologies (HTML, CSS, JavaScript, TypeScript)


Description
According to jwt dot io, "JSON Web Token (JWT) is an open standard (RFC 7519) that defines a compact and self-contained way for securely transmitting information between parties as a JSON object." In this course, you will understand and learn how to generate and sign a Json Web Token that users can use to securely access your RESTful application.
This course teaches how to use JWT (JSON Web Token) to embed users' roles and permissions to delegate user's authorization(what they can and can't do) in the application. This course also dives into defining and creating API, exposing API Endpoints over HTTP, and handling HTTP Requests and File Upload through API Endpoints. It covers testing API Endpoints (using an HTTP client - Postman).


Who this course is for:
Developers interested in JSON Web Token (JWT)
Developers interested in Spring Security
Developers interested in role-based application management
Developers interested in Angular


Homepage

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Java Multithreading , Concurrency & Parallel Programming 2/e

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Java Multithreading , Concurrency & Parallel Programming 2/e
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 5.30 GB | Duration: 15 section | 96 lectures | (10h 18m)



What you'll learn
Mastering Concurrency and Multi threading in Java
Basics of Multithreading & Concurrency
Advanced Multithreading & Concurrency
Parallel Programming and algorithm practices

Requirements
Basic Java Prgramming

Description
BEST in Class course for programmers to learn multitasking, MultiThreading and Parallel programming paradigm.

Objective :

Computers can execute more than one statements at a time this is called parallel processing. These days when there are multi core processors are easily available programmers should defiantly take advantage of parallel programming for scalable and highly performing and responsive application. This is only possible using Multi Threading programming.

Multi threading programming comes with certain complexities and sometimes difficult to program. This objective of this course is make to enable -

Basic Multi Threading

Advanced Multi threading

Multi Processing

Concurrent Collections

Parallel algorithms.

Asynchronous Programming using Completed Future

Parallel Streams for Faster processing of Collections.

If you are able to learn these concepts - you will be able to create applications, ready to scale and highly responsive.

We will start from very basics and will deep dive into the very advanced concepts.

We will start from basics by understanding -

Introduction To Multitasking and Multihreading

Creating Thread and Understanding Its Life

Threading API

Then we will move further to challenges associated with -

Concurrency Challenges

Concurrency Challenges & Race Conditions

Further we will discuss into solutions to the challenges

Achieving Mutual Exclusion or Solving he challenges

Liveness Problems

The we will move into some related concepts

Daemon Threads

Further in the discussion we will move to some advanced concepts related to MultiThreading -

Advanced Multithreading

Thread Groups

Thread Pool and Executors

Thread Local

Callable and Future

The we will discuss Concurrent Collections and Concurrent Utilities

Need of Concurrent Collections

Concurrent Modification Exception

How Concurrent Collection Solved the problems

ConncurentHashMap Hierarchy and Methods

ConncurentHashMap internal Implementation

ConncurentHashMap in Multithreading Environment Program Demo

CopyonWrite ArrayList

CopyOnWriteArrayList - Constructors and Methods

CopyOnWriteArraySet

Count Down Lache

Cyclic Barrier

Blocking Queue

Exchangers

Semphores

Then we will write and solve some Algorithms using parallel processing

Multi Processing and Parrlel Comutin Algorithums

Implementing a Multithreading Chat Serer

We will also Discuss CompletableFuture is used for asynchronous programming in Java.

Hope you will enjoy the journey - please don't forgot to ask questions in Q&A and we will respond as quickly as possible.

Last but not least - you got an option to return back the course within 30 days it you find it does not fulfill your needs

See you in the Course and Happy Learning

Best ,

Mohit


Who this course is for:
Students or Working professionals who wants to advance their Multithreading concepts
Students or Working professionals who wants to practice multi threading and parallel algorithms


Homepage

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Java for complete beginners (in depth, java and adv java)

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Java for complete beginners (in depth, java and adv java)
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 7.24 GB
Genre: eLearning Video | Duration: 66 lectures (13 hour, 26 mins) | Language: English

Java Hands-on development




What you'll learn

Java and advanced Java Hands-on programming, Java Datastructures, JDBC, Servlets

Requirements

C Programming


Description

Following topics are part of the course:

Java

Object Oriented Programming

Encapsulation, Inheritance, Polymorphism

Late Binding of Functions

Classes & Objects

Access Control of Class Members

Constructors

Method Overloading

Inheritance

super and final

Runtime Polymorphism

Abstract classes & Methods

Interfaces & their Implementation

Packages

Static Data & Functions

Exception Handling

Types of Exceptions

Use of try catch block

Handling multiple exceptions

finally, throw & throws clause

User defined exceptions

Advanced Java

Generics

Strings

Collections

ArrayList,

LinkedList,

HashSet,

TreeSet,

HashMap

HashTable

TreeMap

Vector

Lambda Expressions

Using Lambda Expression with Collections (Datastructures)

Streams

Byte and Character Streams

File Handling

Multi-threading

Implementing Runnable Interface

Thread States

Thread Priorities

Inter-Thread Communication

Servlets

JDBC

Interaction with MySQL


Who this course is for:

Beginner Programmers, Engineering college students, App Developers

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IT Fundamentals - Learn Python, SQL, HTML, Java & Computing

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IT Fundamentals - Learn Python, SQL, HTML, Java & Computing
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 140 lectures (13h 52m) | Size: 6 GB

A Computer Course on IT Fundamentals; Coding in Python, SQL Databases, Web Development, Mobile App & Computer Science

What you'll learn:
Learn 5 main areas of IT; Procedural Programming, Object Oriented Programming, Databases, Web Pages and Computer Science
Learn to Program with coding in Python
Learn Databases and SQL
Learn Web Pages with HTML, CSS and PHP
Learn Mobile Apps with JAVA
Learn Computer Science

Requirements
A PC and the internet


Description
Are you up for a challenge, a real challenge? One where you can change your life and give yourself the job stability missing in other industries. Complete this course and set yourself on the path to a career in IT.

You'll learn how to code using the worlds most popular language; Python.

You'll learn how to manage databases using SQL, THE database language

Create Web pages in HTML with CSS and practice web development using PHP

Create mobile apps, in JAVA for Android mobile devices using Android Studio

Give yourself a thorough grounding in Computer Science and IT

By the end of this course, you'll know the key 5 skills for any career in IT.

Click the buy button today.

Who this course is for
People who wish to begin a career in IT.
IT Beginners

Homepage

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