Project Planning Fundamentals Agile Development Stages

July 25, 2019, 7:04 pm

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Project Planning Fundamentals: Agile Development Stages
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 38M | 517 MB
Genre: eLearning | Language: English

Project Planning Fundamentals: Learn Stages of Agile Development course is for management professionals, entry level managers, beginner project managers, and anyone seeking to transition projects from Waterfall approach to Agile development framework.
Transitioning from traditional waterfall approach to Agile is not easy and takes time. However, if you plan successfully in advance, your organization can greatly benefit and gain high profitability.
You can demonstrate to key stakeholders or senior management the benefits Agile-Scrum approach provides to project effectiveness. This is an essential skill that a new Project Manager must have or anyone involved in such undertaking!.
To deliver a project successfully, it is important to start by clearly identifying what the project is, and what its outcomes will be. In the course, we will provide key tips and techniques to explore and understand your goals from the outset of your project, and to consider all the factors that may affect its execution. Step by step you will learn various stages of Agile and how to successfully transition from the traditional waterfall model to scrum-agile framework.




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Code:

http://nitroflare.com/view/5CC402EA35ADFAF/hy35c.Project.Planning.Fundamentals.Agile.Development.Stages.part1.rar
http://nitroflare.com/view/2892B502B124970/hy35c.Project.Planning.Fundamentals.Agile.Development.Stages.part2.rar
http://nitroflare.com/view/B122BF8FD54A212/hy35c.Project.Planning.Fundamentals.Agile.Development.Stages.part3.rar

Code:

https://rapidgator.net/file/7274aadd0e0675cd82fcd4ad59e56122/hy35c.Project.Planning.Fundamentals.Agile.Development.Stages.part1.rar
https://rapidgator.net/file/5b5bc945e4389dd14336e7311db282b5/hy35c.Project.Planning.Fundamentals.Agile.Development.Stages.part2.rar
https://rapidgator.net/file/2e6a94d92eafe6e756b5a5b0f4b439a9/hy35c.Project.Planning.Fundamentals.Agile.Development.Stages.part3.rar

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Psychotic Episodes & Reality

July 25, 2019, 7:06 pm

≫ Next: Puppet 4 configuration management for your IT infrastructure

≪ Previous: Project Planning Fundamentals Agile Development Stages

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Psychotic Episodes & Reality
.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 48000 Hz, 2ch | 701 MB
Duration: 1 hours | Genre: eLearning Video | Language: English

Methods of Regaining Sanity

What you'll learn

Understand how psychosis differs from other psychological disorders. Learn about the various types of psychosis and the therapies for treating them.

Requirements

An interest in learning about psychotic disorders and best psychotherapies for treatment

Description

Learn about what happens when people lose touch with reality and how to treat psychotic problems. Understand the five different patterns of schizophrenia and the best ways to help clients with the condition. Develop an understanding of the causes of the condition and the developmental patterns shown by age, social class and gender. Appreciate the psychotherapies that lead to the best possible outcomes. Put schizophrenia into perspective.

Who this course is for:

Anyone with an interest in abnormal psychology and the best therapies for treating psychotic symptoms.


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Code:

http://nitroflare.com/view/D6BA5571E49605C/rq753.Psychotic.Episodes..Reality.rar

Code:

https://rapidgator.net/file/35bb44f7c023098ea371a95197aaab27/rq753.Psychotic.Episodes..Reality.rar

Puppet 4 configuration management for your IT infrastructure

July 25, 2019, 7:07 pm

≫ Next: Purchase Orders (PO) Creation in Oracle Apps R12

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Puppet 4 configuration management for your IT infrastructure
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 36 | 464 MB
Genre: eLearning | Language: English

Learn one of the biggest skills in IT right now and improve your career options.

The content is a little out of date now (hence it being free) but many of the principles still stand. Enjoy the course.

What will you learn on this course:
I've worked within many large organizations that use puppet so what you will learn in this course directly relates to how puppet is used in the real world. Aimed at Beginner level up, this course is a great place to start to get familiar with puppet.

The infrastructure setup for this course will be completed using Vagrant on your laptop. We will start by creating a standalone puppet 4.0 master, followed by 3 other vagrant Ubuntu 16.04 servers. We'll also install Virtual-box (to create the vagrant VMs) and Git so we can clone from github.

You will install and setup a Puppet 4.0 master and become familiar with the main differences between puppet 3.* and puppet 4.0. You will control server infrastructure by writing basic puppet modules. I will introduce you to Hiera, a powerful part of puppet that lets you run specific code on specific servers within your estate. You will create custom facts that can be used within hiera and your puppet code and I'll show you the benefits of using Roles and Profiles within the puppet master to manage how your modules are used on each host.

Once you complete this course, you will have a greater understanding of puppet 4.0 and how to use all it's different parts to give you a powerful configuration management tool.


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Code:

http://nitroflare.com/view/BD0C41EC11FAEEA/urqhq.Puppet.4.configuration.management.for.your.IT.infrastructure.part1.rar
http://nitroflare.com/view/976632C65ED2306/urqhq.Puppet.4.configuration.management.for.your.IT.infrastructure.part2.rar
http://nitroflare.com/view/E91E161F224F0AB/urqhq.Puppet.4.configuration.management.for.your.IT.infrastructure.part3.rar
http://nitroflare.com/view/B704FCD582F28B1/urqhq.Puppet.4.configuration.management.for.your.IT.infrastructure.part4.rar

Code:

https://rapidgator.net/file/f75dd057990ec0a4281e9c93d8d649ac/urqhq.Puppet.4.configuration.management.for.your.IT.infrastructure.part1.rar
https://rapidgator.net/file/d7aa1bc516da81699abd1564e649f1ea/urqhq.Puppet.4.configuration.management.for.your.IT.infrastructure.part2.rar
https://rapidgator.net/file/ff019085fb8ff577d91633ce9d16948e/urqhq.Puppet.4.configuration.management.for.your.IT.infrastructure.part3.rar
https://rapidgator.net/file/afd278b5e8fef64b7d008405d858ff0e/urqhq.Puppet.4.configuration.management.for.your.IT.infrastructure.part4.rar

Purchase Orders (PO) Creation in Oracle Apps R12

July 25, 2019, 7:09 pm

≫ Next: Python 3 Advanced Computer Vision with OpenCV & Scikit-image

≪ Previous: Puppet 4 configuration management for your IT infrastructure

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Purchase Orders (PO) Creation in Oracle Apps R12
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 6 | 257 MB
Genre: eLearning | Language: English

Complete All Purchase Orders Creation and Their Effected Tables from Back End in Oracle Apps R12 for Beginners to Expert

Purchase Orders Types in Oracle R12
Oracle Purchasing supports four types of purchase orders:

Standard Purchase Orders:

You generally create standard purchase orders for one-time purchase of various items. You create standard purchase orders when you know the details of the goods or services you require, estimated costs, quantities, delivery schedules, and accounting distributions.

Blanket Purchase Agreements:

You create blanket purchase agreements when you know the detail of the goods or services you plan to buy from a specific supplier in a period, but you do not yet know the detail of your delivery schedules. In this case you create and use blanket purchase agreements to specify negotiated prices for your items before actually purchasing them.

Contract Purchase Agreements:

You create contract purchase agreements with your suppliers to agree on specific terms and conditions without indicating the goods and services that you will be purchasing. You can later issue standard purchase orders referencing your contract.

Planned Purchase Order:

You create a planned purchase order when you want to establish a long term agreement with a single source supplier with a commitment to buy goods or services. Planned purchase orders include tentative delivery schedules and accounting distributions.


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Code:

http://nitroflare.com/view/4FA41AFAA5434EC/umqkt.Purchase.Orders.PO.Creation.in.Oracle.Apps.R12.part1.rar
http://nitroflare.com/view/BD99BBB1AD79507/umqkt.Purchase.Orders.PO.Creation.in.Oracle.Apps.R12.part2.rar
http://nitroflare.com/view/8FF713AC5DC826E/umqkt.Purchase.Orders.PO.Creation.in.Oracle.Apps.R12.part3.rar

Code:

https://rapidgator.net/file/e8979c23ae46335db09009fa1b75088e/umqkt.Purchase.Orders.PO.Creation.in.Oracle.Apps.R12.part1.rar
https://rapidgator.net/file/9cb1761ff10a19cced4b4985ecf09017/umqkt.Purchase.Orders.PO.Creation.in.Oracle.Apps.R12.part2.rar
https://rapidgator.net/file/6861bce0aa197e84f56bddbbeef7e4b7/umqkt.Purchase.Orders.PO.Creation.in.Oracle.Apps.R12.part3.rar

Python 3 Advanced Computer Vision with OpenCV & Scikit-image

July 25, 2019, 7:10 pm

≫ Next: Python 3 Adventures Learn Python 3 in Fun way

≪ Previous: Purchase Orders (PO) Creation in Oracle Apps R12

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Python 3 Advanced Computer Vision with OpenCV & Scikit-image
.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 4.94 GB
Duration: 11.5 hours | Genre: eLearning | Language: English

Learn Image Processing and Computer Vision Programming with OpenCV, NumPy, Matplotlib, and Scikit-image.

Understand the Scientific Python Ecosystem

Learn basics of NumPy Fundamentals for Images

Learn Image Processing and Computer Vision Programming with OpenCV, NumPy, Matplotlib, and Scikit-image.
What you'll learn
Understand the Scientific Python Ecosystem
Understand Computer Vision and Image Processing Concepts
Learn basics of NumPy Fundamentals for Images
Learn Basic Visualization with Matplotlib
Learn working with Webcam
Advanced OpenCV
Advanced Scikit-image
Requirements
Windows PC/ Raspberry Pi with Internet Connection
Zeal and enthusiasm to learn new things
a burning desire to take your career to the next level
Basic Programming and Python Programming Basics
Description
Become a Master in Image Processing and Computer Vision with Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level Image Processing and Computer Vision Professional can earn minimum $100000 (that's five zeros after 1) in today's economy.
This is the most comprehensive, yet straight-forward course for the Image Processing and Computer Vision with Python 3 on Udemy! Whether you have never worked with Scikit-image before, already know basics of Image Processing, or want to learn the advanced features of OpenCV with Python 3, this course is for you! In this course we will teach you OpenCV with Python 3, Jupyter, NumPy, Scikit-image, and Matplotlib.
(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)
With over 50 lectures and more than 6 hours of video this comprehensive course leaves no stone unturned in teaching you Image Processing and Computer Vision with Python 3, NumPy, matplotlib, Scikit-image, and OpenCV!
This course will teach you Image Processing and Computer Vision in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!
We will start by helping you get Python3, NumPy, matplotlib, Jupyter, Scikit-image, and OpenCV installed on your Windows computer and Raspberry Pi.
We cover a wide variety of topics, including:
Basics of Scientific Python Ecosystem
Basics of OpenCV
Basics of NumPy and Matplotlib
Installation of Python 3 on Windows
Setting up Raspberry Pi
Tour of Python 3 environment on Raspberry Pi
Jupyter installation and basics
NumPy Ndarrays
Array Creation Routines
Basic Visualization with Matplotlib
Ndarray Manipulation
Random Array Generation
Bitwise Operations
Statistical Functions
Basics of Matplotlib
Image Processing with NumPy and Matplotlib
Installation of OpenCV on Windows and RPi
OpenCV and Matplotlib
OpenCV and webcam on Windows and RPi
Getting Started with Scikit-image
Advanced OpenCV and Scikit-image
Combining OpenCV and Scikit-image for live webcam processing
So what are you waiting for? Learn Computer Vision and Image Processing with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!
Who this course is for:
Computer Vision and image Processing Professionals
Data Science Professionals: Data Scientists and Data Engineers
Robotics and Machine Vision Professionals
AI and Machine Learning Professionals
Scientists, Mathematicians, Physicists, and Engineers
Python Developers and Programmers
Managers and Business Professionals
Anyone who wants to learn
DOWNLOAD

Code:

http://nitroflare.com/view/16DCFA949798FBD/h82zl.Python.3.Advanced.Computer.Vision.with.OpenCV..Scikitimage.part1.rar
http://nitroflare.com/view/2C9C09C2FEB5B68/h82zl.Python.3.Advanced.Computer.Vision.with.OpenCV..Scikitimage.part2.rar
http://nitroflare.com/view/F3A25DE2F836242/h82zl.Python.3.Advanced.Computer.Vision.with.OpenCV..Scikitimage.part3.rar
http://nitroflare.com/view/EBD5A5A1C423A5A/h82zl.Python.3.Advanced.Computer.Vision.with.OpenCV..Scikitimage.part4.rar
http://nitroflare.com/view/D3C808E10EF2230/h82zl.Python.3.Advanced.Computer.Vision.with.OpenCV..Scikitimage.part5.rar

Code:

https://rapidgator.net/file/af85e3a38d66b386e174137ea2898ae3/h82zl.Python.3.Advanced.Computer.Vision.with.OpenCV..Scikitimage.part1.rar
https://rapidgator.net/file/2ee9e1088792e0c61ce2cf9d804e1b8a/h82zl.Python.3.Advanced.Computer.Vision.with.OpenCV..Scikitimage.part2.rar
https://rapidgator.net/file/d291905c02bec1bddc69c58106763ef0/h82zl.Python.3.Advanced.Computer.Vision.with.OpenCV..Scikitimage.part3.rar
https://rapidgator.net/file/bce2b964b45488baaf8e5f4735821f8f/h82zl.Python.3.Advanced.Computer.Vision.with.OpenCV..Scikitimage.part4.rar
https://rapidgator.net/file/7fbfcf2c77bbda16d604567fbc73b219/h82zl.Python.3.Advanced.Computer.Vision.with.OpenCV..Scikitimage.part5.rar

Python 3 Adventures Learn Python 3 in Fun way

July 25, 2019, 7:11 pm

≫ Next: Python Advanced Concepts: Advanced Python Going Fast

≪ Previous: Python 3 Advanced Computer Vision with OpenCV & Scikit-image

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Python 3 Adventures: Learn Python 3 in Fun way
.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 1.88 GB
Duration: 3.5 hours | Genre: eLearning Video | Language: English

Learn Python 3 with adventures with Turtle, Pygame, Pillow, and text based game
What you'll learn
Python 3 Setup
Raspberry Pi Setup
Jupyter Notebook
Pip and PyPI
Turtle
Pygame and snake
Pillow and Image Processing
Text Adventure in Python 3
Requirements
Windows PC/ Raspberry Pi with Internet Connection
Zeal and enthusiasm to learn new things
a burning desire to take your career to the next level
Description
Learn Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level Python Professional can earn minimum $100000 (that's five zeros after 1) in today's economy.
This is the most comprehensive, yet straight-forward course for the Python 3 on Udemy! Whether you have never worked with Python before, already know basics of Python, or want to learn the advanced features of Python 3, this course is for you! In this course we will teach you Python 3, Jupyter, pillow, turtle, and pygame.
(Note, we also provide you PDFs, Python 3 code files, and Jupyter Notebooks in case you need them)
With over 25 lectures and more than 2 hours of video this comprehensive course leaves no stone unturned in teaching youPython 3, Pandas with pygame, turtle, and pillow!
This course will teach you Python 3 in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!
We will start by helping you get Python3 and other libraries installed on your Windows computer and Raspberry Pi.
We cover a wide variety of topics, including:
Installation of Python 3 on Windows
Setting up Raspberry Pi
Tour of Python 3 environment on Raspberry Pi
Jupyter installation and basics
turtle programming with recursion
Image processing with Pillow
Game programming with pygame
GUI with Tkinter
Text based adventure game programming
You will get lifetime access to over 25 lectures plus corresponding PDFs, Image Datasets, and the Jupyter notebooks for the lectures!
So what are you waiting for? Learn Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!
Who this course is for:
Scientists, Mathematicians, Physicists, and Engineers
Python Developers and Programmers
Managers and Business Professionals
Anyone who wants to learn



DOWNLOAD

Code:

http://nitroflare.com/view/D2E80FCD56B7A5E/0jpav.Python.3.Adventures.Learn.Python.3.in.Fun.way.part1.rar
http://nitroflare.com/view/781C0D19228545C/0jpav.Python.3.Adventures.Learn.Python.3.in.Fun.way.part2.rar
http://nitroflare.com/view/973F35799360BF6/0jpav.Python.3.Adventures.Learn.Python.3.in.Fun.way.part3.rar

Code:

https://rapidgator.net/file/fa8733bed7419b421f891a70ea811f7b/0jpav.Python.3.Adventures.Learn.Python.3.in.Fun.way.part1.rar
https://rapidgator.net/file/1d4e88b63cdcc8cfb0e0fece8eec2fda/0jpav.Python.3.Adventures.Learn.Python.3.in.Fun.way.part2.rar
https://rapidgator.net/file/9ddb716657dd68e4431904028f21f640/0jpav.Python.3.Adventures.Learn.Python.3.in.Fun.way.part3.rar

Python Advanced Concepts: Advanced Python Going Fast

July 25, 2019, 7:13 pm

≫ Next: Python Application Series Machine Learning Using Tensorflow

≪ Previous: Python 3 Adventures Learn Python 3 in Fun way

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Python Advanced Concepts: Advanced Python Going Fast
.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 686 MB
Duration: 1.5 hours | Genre: eLearning | Language: English

Master the most important features and Concepts of the Modern Python from the practical side to dive deeply into Python.

Building iterators and stop sequences by using related exceptions.

Master the most important features and Concepts of the Modern Python from the practical side to dive deeply into Python.
What you'll learn
Building iterators and stop sequences by using related exceptions.
Building and use generators.
Advanced concepts of closure.
Master the using of decorators.
The most important built in arguments.
Using the property method the right way.
All about Itertools and its methods by examples.
Working with stack, queues, deques and LifoQueue method.
Implement mutable and immutable multisets.
Working with Counter module.
Swapping and Reversing with Examples.
How to Join items and Handling Paths.
Enums, Multiple and frequent values.
Handling Object Size.
Anagrams and Zipped dictionaries with Examples.
Universally user id and more.
Requirements
You need any computer with Text Editor or IDE.
Basic understanding of Python features(Variables, Loops, Conditions, Lists, Dictionaries, Methods, Object and Classes).
Description
Hello, my name is Ibra, and welcome to Python Advanced Concepts: Advanced Python Going Fast.
Python is a beautiful language, very simple, easy to use, powerfully expressive and well suited for rapid application development.
Python is understood and preferred all over the world for development because It's a general-purpose, high-level Object Oriented Programming Language based interpreted language, used for dynamic applications, widely across the globe. Python is extremely popular for its versatility and scope of applicability.
In order to build real applications in Python or dive deeper into Python frameworks and libraries, there are many important concepts and features that you need to master Which are covered in this course Rapidly.
By the end of this Advanced Course, you should have a good understanding of some of the most important features of The Modern Python from the practical side that will benefit you in creating python applications the right way.
This training is in practical way and If we need some theoretical hint, I will put them at the bottom of the lesson or as a reminder in the last part of the lesson and If you do not understand any point of this course you can ask me about it and i will answer your question quickly.
what we cover in this course:
First we will explain in practice how to build iterators and stop sequences by using related exceptions.
You will see how to build and use generators.
Then,We will jump into advanced concepts of closures for locally and globally.
Also decorators, you will master the using of decorator by seeing a real example.
We will discuss and use the most important built in arguments *args, **kwargs and more.
You will know how to use the property method the right way.
All about Itertools and its methods.
Working with stacks.
Working with Queues.
Working with Deques.
Using LifoQueue method.
Using and implement mutable and immutable multisets.
Immutable Frozenset method.
Working with Counter module.
Swapping and Reversing Examples.
How to Join items.
Modules directories.
Hands-On python Enumeration.
Multiple and frequent values.
Handling Object Size.
Anagrams and Zipped dictionaries with Examples.
Universally user id and more.
Who this course is for:
Junior Python Developer.
Any Python developer who wants to take their skills to the advanced level.
Developers who do not want to waste time in the basics and want to dive deeply into Python advanced features.
Anyone who want to go beyond the Python Basics and improve their Python skills with New Features.
DOWNLOAD

Code:

http://nitroflare.com/view/E83D228A4E1BCC4/fvfdh.Python.Advanced.Concepts.Advanced.Python.Going.Fast.rar

Code:

https://rapidgator.net/file/dd0d2ec55837175fe8dea640e7257bd2/fvfdh.Python.Advanced.Concepts.Advanced.Python.Going.Fast.rar

Python Application Series Machine Learning Using Tensorflow

July 25, 2019, 7:14 pm

≫ Next: Python Application Series Python Made Simple

≪ Previous: Python Advanced Concepts: Advanced Python Going Fast

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Python Application Series: Machine Learning Using Tensorflow
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | 778 MB
Genre: eLearning | Language: English

The following 10 topics will be covered through a combination of lecture and hands-on to maximize your mastery of machine learning using Tensorflow:
Introducing Tensorflow. This first topic in the Machine Learning using Tensorflow series introduces you to the world of Tensorflow. Learn about the history of Tensorflow, Tensorflow's architecture, and the various components of Tensorflow. Appreciate the reasons why Tensorflow is so popular. Follow along with Rohit as he shows you how to download Tensorflow and where to find the official Tensorflow documentation.
Setting up the Tensorflow Environment. This second video in the Machine Learning using Tensorflow series explains how to install and set up the Tensorflow environment on the Linux, Windows (using Anaconda), and Mac operating systems. Follow along with Rohit as he demonstrates the power of Tensorflow, and learn about the Tensorflow-GPU.
Applying Artificial Intelligence, Machine Learning, and Deep Learning. This third video in the Machine Learning using Tensorflow series explains artificial intelligence (AI), machine learning, and deep learning (both supervised and unsupervised).
Applying Tensorflow Basics. This fourth video in the Machine Learning using Tensorflow series explains how to apply the basic mathematical scalar, vector, and matrix functionality in Tensorflow. Learn all about the concepts of tensor, rank, shape, type, graph, session, variable, and placeholder. Follow along with Rohit in this hands-on session using Python.
Mastering Numpy with Tensorflow. This fifth video in the Machine Learning using Tensorflow series covers the Python package Numpy, and how it can be used with Tensorflow. Practice working with Numpy attributes (including shape, reshape, arrange, and item size) and Numpy arrays (including empty, zeros, and ones). Follow along with Rohit in this hands-on session using Python.
Mastering Pandas with Tensorflow. This sixth video in the Machine Learning using Tensorflow series explains how to work with Pandas, and how Pandas can be used with Tensorflow. Follow along with Rohit in this hands-on session using Python.
Mastering MatDescriptionlib with Tensorflow. This seventh video in the Machine Learning using Tensorflow series explains how to create MatDescriptionlib graphs, and how MatDescriptionlib graphs can be used with Tensorflow. Follow along with Rohit in this hands-on session using Python.
Implementing Neural Networks using Tensorflow. This eighth video in the Machine Learning using Tensorflow series explains how to implement neural networks using Tensorflow. Follow along with Rohit in this hands-on session using Python.
Implementing Convolutional Neural Networks using Tensorflow. This ninth video in the Machine Learning using Tensorflow series explains how to implement Convolutional Neural Networks (CNNs) using Tensorflow. Learn all about convolution, non linearity (ReLU), pooling, sub sampling, and classification. Follow along with Rohit in this hands-on session using Python.
Implementing Recurrent Neural Networks using Tensorflow. This tenth video in the Machine Learning using Tensorflow series explains how to implement Recurrent Neural Networks (RNNs) using Tensorflow. Follow along with Rohit in this hands-on session using Python.




DOWNLOAD

Code:

http://nitroflare.com/view/CE7AEA0F881FB6A/vk3ht.Python.Application.Series.Machine.Learning.Using.Tensorflow.part1.rar
http://nitroflare.com/view/6E0D32DC482D63C/vk3ht.Python.Application.Series.Machine.Learning.Using.Tensorflow.part2.rar
http://nitroflare.com/view/0385BCB4EEA18D6/vk3ht.Python.Application.Series.Machine.Learning.Using.Tensorflow.part3.rar
http://nitroflare.com/view/2D1B7CC19603132/vk3ht.Python.Application.Series.Machine.Learning.Using.Tensorflow.part4.rar

Code:

https://rapidgator.net/file/93a708fb1c93481e51a9e917f526b3df/vk3ht.Python.Application.Series.Machine.Learning.Using.Tensorflow.part1.rar
https://rapidgator.net/file/5e9168fe95c2eff09f339a60dd26aff8/vk3ht.Python.Application.Series.Machine.Learning.Using.Tensorflow.part2.rar
https://rapidgator.net/file/7822820f407aecf17e755abaf66f3864/vk3ht.Python.Application.Series.Machine.Learning.Using.Tensorflow.part3.rar
https://rapidgator.net/file/0bfbb0027985b6b26644f95bc3e8597e/vk3ht.Python.Application.Series.Machine.Learning.Using.Tensorflow.part4.rar

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Python Application Series Python Made Simple

July 25, 2019, 7:16 pm

≫ Next: Python Scientific Visualizations with Descriptionly

≪ Previous: Python Application Series Machine Learning Using Tensorflow

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Python Application Series: Python Made Simple
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4.5 Hours | 935 MB
Genre: eLearning | Language: English

The following 14 topics will be covered through a combination of lecture and hands-on to maximize your learning of the Python language:
Introducing Python. This first topic in the Python Made Simple series introduces you to the world of Python. Learn the history of Python, Python core features, and how Python compares with Java. Follow along with Rohit as he shows you how to download Python and where to find the official Python documentation.
Setting up the Python Environment. This second video in the Python Made Simple series explains how to install and set up the Python environment on the Linux, Windows (using Anaconda), and Mac operating systems.
Applying the Basic Syntax of Python. This third video in the Python Made Simple series shares the basic syntax of Python including the syntax standards for lines, indentation, multiline statements, strings, , and multiple statements on a single line. Basic commands are also covered including the conditional, loop, and print statements. Variables and operators are explained. Follow along with Rohit in this hands-on session and write your first Python programs!
Writing Python Functions. This fourth video in the Python Made Simple series explains functions in detail. Define and call a function (both with and without arguments). Write code containing functional arguments and return statements. Use both global and local variables. Follow along with Rohit and build upon the application you created in the last session.
Creating Python Modules. This fifth video in the Python Made Simple series explains modules in detail. Master creating modules and the import and from...import statements. Follow along with Rohit in this hands-on session and build upon your application from the previous session.
Creating Python Lists. This sixth video in the Python Made Simple series explains how to work with lists and arrays in Python. Follow along with Rohit in this hands-on session and build upon your application from the previous session.
Creating Python Tuples. This seventh video in the Python Made Simple series explains how to create Python tuples. Practice applying the tuple operations of length, concatenation, membership, and iteration. Use indexing and slicing in accessing lists. Follow along with Rohit in this hands-on session.
Understanding the Python Dictionary. This eighth video in the Python Made Simple series covers the Python Dictionary. Practice accessing values from the dictionary, applying the length and type operations, and using the Clear(), Copy(), Keys(), and Values() methods. Follow along with Rohit in this hands-on session.
Working with Strings in Python. This ninth video in the Python Made Simple series explains how to work with strings in Python. Practice accessing values from strings and applying string operators and methods. Follow along with Rohit in this hands-on session.
Applying Date and Time in Python. This tenth video in the Python Made Simple series explains how to code for date and time in Python. Practice getting the current date and time, and using a number of built-in time and date Python modules such as Time.clock and Calendar.month. Follow along with Rohit in this hands-on session.
Creating Classes in Python. This 11th video in the Python Made Simple series explains how to create classes in Python. Create classes, objects, and functions. Understand how class inheritance works. Follow along with Rohit in this hands-on session and build upon your application from the earlier session.
Coding for Exception Handling in Python. This 12th video in the Python Made Simple series explains the concept of an exception, how to handle an exception in Python, and the Try-finally clause. Follow along with Rohit in this hands-on session and build upon your application from the previous session.
Performing File I/O in Python. This 13th video in the Python Made Simple series explains how to perform file input/output (I/O) in Python. Practice opening and closing files. Read and write data to files, and delete files. Follow along with Rohit in this hands-on session and build upon your application from the previous session.
Mastering Numpy. This 14th video in the Python Made Simple series covers the Python package Numpy. Practice working with Numpy attributes (including shape, reshape, arrange, and item size) and Numpy arrays (including empty, zeros, and ones). Follow along with Rohit in this hands-on session and build upon your application from the previous session.




DOWNLOAD

Code:

http://nitroflare.com/view/C0AF9D612EE0D33/bzpvg.Python.Application.Series.Python.Made.Simple.part1.rar
http://nitroflare.com/view/78BD17BDCC18EF6/bzpvg.Python.Application.Series.Python.Made.Simple.part2.rar
http://nitroflare.com/view/D481A81DF0906AB/bzpvg.Python.Application.Series.Python.Made.Simple.part3.rar
http://nitroflare.com/view/EE148A4ACE5A77E/bzpvg.Python.Application.Series.Python.Made.Simple.part4.rar

Code:

https://rapidgator.net/file/8e13c0f9b4f86ee5bb095078eff75a38/bzpvg.Python.Application.Series.Python.Made.Simple.part1.rar
https://rapidgator.net/file/e460d8ab146f5dd451aa6fd3b0684ff9/bzpvg.Python.Application.Series.Python.Made.Simple.part2.rar
https://rapidgator.net/file/c378fab76f6417af8c9d3e6b2018c45b/bzpvg.Python.Application.Series.Python.Made.Simple.part3.rar
https://rapidgator.net/file/1348c341059a50122bb0bee80072030b/bzpvg.Python.Application.Series.Python.Made.Simple.part4.rar

Python Scientific Visualizations with Descriptionly

July 25, 2019, 7:17 pm

≫ Next: Python The Quickest Way Python Essentials Course - Rapid! (Updated)

≪ Previous: Python Application Series Python Made Simple

$

0

0

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 8 hour | Size: 3.56 GB
Learn to visualize scientific Data with NumPy, MatDescriptionlib, and Descriptionly

What you'll learn
Understand the Scientific Python Ecosystem
Understand Data Science and Descriptionly
Learn basics of NumPy Fundamentals
Learn Advanced Data Visualization
Scientific Visualizations
Requirements
Windows PC/ Raspberry Pi with Internet Connection
Zeal and enthusiasm to learn new things
a burning desire to take your career to the next level
Basic Programming and Python Programming Basics
basic mathematics knowledge will be greatly appreciated
Description
Become a Master in Data Acquisition and Visualization with Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level Data Science can earn minimum $100000 (that's five zeros after 1) in today's economy.
This is the most comprehensive, yet straight-forward course for the Data Science with Python 3 on Udemy! Whether you have never worked with Data Visualization before, already know basics of Python, or want to learn the advanced features of Descriptionly with Python 3, this course is for you! In this course we will teach you Scientific Data Visualization with Python 3, Jupyter, NumPy, MatDescriptionlib, and Descriptionly .
(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)
With over 50 lectures this comprehensive course leaves no stone unturned in teaching you Scientific Data Visualizations with Python 3 and Descriptionly!
This course will teach you Data Science in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!
We will start by helping you get Python3, NumPy, matDescriptionlib, Jupyter, Pandas, and Descriptionly installed on your Windows computer and Raspberry Pi.
We cover a wide variety of topics, including:
Basics of Scientific Python Ecosystem
Basics of Pandas
Basics of NumPy and MatDescriptionlib
Installation of Python 3 on Windows
Setting up Raspberry Pi
Tour of Python 3 environment on Raspberry Pi
Jupyter installation and basics
NumPy Ndarrays
Array Creation Routines
Basic Visualization with MatDescriptionlib
Ndarray Manipulation
Random Array Generation
Bitwise Operations
Statistical Functions
Basics of MatDescriptionlib
Installation of SciPy
Linear Algebra with NumPy and SciPy
Data Acquisition with Python 3
Basics of Descriptionly
Scientific Visualizations with Descriptionly
You will get lifetime access to over 40 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures!
This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back.
So what are you waiting for? Learn Data Science with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!
Who this course is for:
Data Science Professionals: Data Scientists and Data Engineers
AI and Machine Learning Professionals
Scientists, Mathematicians, Physicists, and Engineers
Python Developers and Programmers
Managers and Business Professionals
Anyone who wants to learn
DOWNLOAD

Code:

http://nitroflare.com/view/CD16A1328DAB38A/iuoof.Python.Scientific.Visualizations.with.Descriptionly.part1.rar
http://nitroflare.com/view/B8E44BF9FE777B3/iuoof.Python.Scientific.Visualizations.with.Descriptionly.part2.rar
http://nitroflare.com/view/2631ABFD8EBD383/iuoof.Python.Scientific.Visualizations.with.Descriptionly.part3.rar
http://nitroflare.com/view/2D371A772F858AB/iuoof.Python.Scientific.Visualizations.with.Descriptionly.part4.rar

Code:

https://rapidgator.net/file/42902f0f3c563ca2f48207b1bbc49682/iuoof.Python.Scientific.Visualizations.with.Descriptionly.part1.rar
https://rapidgator.net/file/1d51913556b6554bd74089a949da5f16/iuoof.Python.Scientific.Visualizations.with.Descriptionly.part2.rar
https://rapidgator.net/file/2acc91e14d1215a1744fb665d74756a5/iuoof.Python.Scientific.Visualizations.with.Descriptionly.part3.rar
https://rapidgator.net/file/e9189bdd52b7aa49f847028be28b9c09/iuoof.Python.Scientific.Visualizations.with.Descriptionly.part4.rar

Python The Quickest Way Python Essentials Course - Rapid! (Updated)

July 25, 2019, 7:18 pm

≫ Next: QuickChat 2.0 (WhatsApp like chat) iOS10 and Swift 3

≪ Previous: Python Scientific Visualizations with Descriptionly

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Python The Quickest Way: Python Essentials Course - Rapid! (Updated)
.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 540 MB
Duration: 1.5 hours | Genre: eLearning Video | Language: English
Master all the Fundamentals of Python rapidly. The course is designed for busy people who want to learn Python very Fast.

What you'll learn

How to installing Python 3.7 and start coding in your local machine
Assigning values to variables and combine it to texts.
How to Ask User for Input and display it.
Formatting strings and its operations
All About Lists, Tuples, Dictionaries and its methods
importing and using different methods for numbers
Different type of operators inside an editor and interpreter
Conditions for a test degree with if
Looping through counts and iterators
User and standard Library functions and methods
Functional Programming and Object Oriented Programming
Exception Handling for Errors
Handling files and using date, time and calendar

Requirements

It would be good if you have a little Programming experience that will make this much easier for you but if you do not have, no problem.

Description

Hello, and welcome to Python The Quickest Way: Python Essentials Course - Rapid! , You will start coding with modern Python and Mastering it the right way.

You will understand how Python works, how to write correct and clean Python code and it's core principles at high speed, intensively, short videos and high quality.

The Python The Quickest Way: Python Essentials Course - Rapid! course has all the Essentials you need to learn Python.

Python Programming language Overview

Installation and First step for coding with Python 3.7

Assigning values to variables and combination

Using Input for Asking user and Math

Strings, Quotes and Formatting

All About Lists and its methods

Python Tuples, its uses and methods

What's Dictionary and its methods

Types of numbers and importing random

different type of operators inside editor and interpreter

if conditional statement for a test

While loop for counts with options

User Functions, calling and returning

Standard Library built in functions

Looping through iterators by using for with in

Functional Programming with lambda

Classes and Objects in Python 3.7

Inheritance in Python 3.7

Different types of Modules

Exceptions handling in practice

Files handling

Displaying date, time and full calendar

Most importantly, you will master Python 3.7 the practically way and in a short time without much effort.

If you want to save your precious time, join us in this rapid course and start practicing python now.

Who this course is for:

Programmers who know other Programming languages but are new to Python.
Anyone who wants to dive deep into Python fast.
Python Beginners.
Programming Newbies.


DOWNLOAD

Code:

http://nitroflare.com/view/919F03DEB35EE15/x5n06.Python.The.Quickest.Way.Python.Essentials.Course..Rapid.Updated.rar

Code:

https://rapidgator.net/file/3559fd5813e17af88379e6d2aa5cff05/x5n06.Python.The.Quickest.Way.Python.Essentials.Course..Rapid.Updated.rar

QuickChat 2.0 (WhatsApp like chat) iOS10 and Swift 3

July 25, 2019, 7:20 pm

≫ Next: R Programming Mastering R for data analysis

≪ Previous: Python The Quickest Way Python Essentials Course - Rapid! (Updated)

$

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QuickChat 2.0 (WhatsApp like chat) iOS10 and Swift 3
.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 48000 Hz, 2ch | 4.86 GB
Duration: 25 hours | Genre: eLearning Video | Language: English
Whatsapp, quick chat, ios chat, swift, real time chat, ios push notifications, ios call, sinch, firebase database.

What you'll learn

Latest iOS and Swift 3
App to app calling like whatsapp
End to end Encryption
Photo, Video, Audio, Location messages
Learn to use Firebase backend
Dealing with JSON files
Learn how to send Push notifications
Learn Backendless backend service provider
Login with Social media account like Facebook
Integrate 3rd party code to your Applications
Bug fixing
Saving files on server and retrieving them
Saving files on device and retrieving them
Offline application functionality
User Location management and MapKit
Use the camera and photo library to take and store pictures/videos
At the end of this course you will have a real world application ready to post it to Appstore with full functionality as you would expect from real application
More than 140 lectures taking you step by step from beginning to the end where we will have cool chat application!

Requirements

You need to know how your way around in xCode
The course is designed for people with some knowledge in iOS programming with Swift
If you havent done any iOS development before, I advise you to take some beginner courses

Description

If you are looking to learn how to build real world application, you have come to the right place.

This course is different from other Udemy course. I dont teach you to build 10 useless apps in 2 hours, If you are after quantity and not quality, this course is not for you.

This course is 27+ hours long in debt (every single step is covered) on how to build only 1 app. and that is a copy of Whatsapp Chat. After you finish this course you will have an app that can replace your messaging app and can be uploaded to App Store.

THIS IS NOT A BEGINNER LEVEL COURSE!

If you dont know your way around in xCode, how to make simple debuging, or this is your first tutorial, I strongly suggest you to take a beginner level course first before you take this course.

The QuickChat was updated to 2.01 version to work without backendless.

New update includes:

Firebase user authentication
Firebase file saving for (audio and video messages) also we save them locally on the device as usual
Loading bar for uploading audio/video messages
User can update his Avatar now
Push notification with OneSignal (which support emoji in notification as well)
Call screen has now speaker and mute buttons and avatar image of the user we call.
Redesign of the avatar image, we dont upload the image and save url now, we save the image on the User object. This makes the avatar available right away and no need to download.
New typing indicator so you can see now when other user is typing message to you.
Avatar icon clicking in ChatView will open Profile view of that user.
Group message Avatar was added to the groups
etc.

Overall the app became much faster, more responsive and easier to use. Offline functionality has improved as well. Push notifications work much better now.

This is not just update to existing QuickChat, QuickChat 2.0 its standalone course that has all the content of QuickChat and plus the extra functions, and its written in latest Swift 3 language. More than 20 hours of HD video material that will teach you have to build whatsapp clone, fully functional chat application with end to end encryption and call function.

This is not a beginner level course, you need to have programming experience in xCode and iOS programming in general.

This course will teach you how to building step-by-step a WhatsApp clone using latest Swift, xCode, Firebase and Backendless backend service.

We will be using Firebase as backend for our chat and Backendless for user login management, Push Service and File Storage.

Integrate App to App calling

The cool thing about Firebase is that its a real time backend, what does this mean? We dont have to constantly query for new messages, Firebase will push each new message to us automatically with no additional code required. This is very efficient on code writing and on network usage.

The application will work online and offline, Firebase will keep local datastore and will sync with online datastore ones the device gets internet connection.

We will use Facebook Login as well as user registration on Backendless.

The course will teach you how to integrate 3rd party libraries to your project, how to combine the Objective-C and Swift libraries.

I will teach you how to send and receive Push notifications to keep your users notified when they receive messages.

The application is build in a way that its very easy to modify to integrate to other applications as well, also you can continue building the app to a stage that you can post it to appstore as ready fully functional chat application.

Who this course is for:

iOS developers who want to learn more about backend providers, how to integrate 3rd party code to your project. Integrate new functionalities to your existing projects and many more cool staff!
This is not beginner level course, if you havent done any programming on iOS, I would highly recommend taking a beginner course before you attend this class


DOWNLOAD

Code:

http://nitroflare.com/view/3B2891B2FAF01E0/1ucad.QuickChat.2.0.WhatsApp.like.chat.iOS10.and.Swift.3.part1.rar
http://nitroflare.com/view/F116F05DC6B36BB/1ucad.QuickChat.2.0.WhatsApp.like.chat.iOS10.and.Swift.3.part2.rar
http://nitroflare.com/view/FD99B385549B45C/1ucad.QuickChat.2.0.WhatsApp.like.chat.iOS10.and.Swift.3.part3.rar
http://nitroflare.com/view/55E2A005749DB29/1ucad.QuickChat.2.0.WhatsApp.like.chat.iOS10.and.Swift.3.part4.rar
http://nitroflare.com/view/A370D40D3EF4402/1ucad.QuickChat.2.0.WhatsApp.like.chat.iOS10.and.Swift.3.part5.rar

Code:

https://rapidgator.net/file/37cc1bd7f387bda7337220c672c9943e/1ucad.QuickChat.2.0.WhatsApp.like.chat.iOS10.and.Swift.3.part1.rar
https://rapidgator.net/file/fb3c764745ba36bccd4fcaa665337a18/1ucad.QuickChat.2.0.WhatsApp.like.chat.iOS10.and.Swift.3.part2.rar
https://rapidgator.net/file/a0d4bdf26b29cd6771202490540fc876/1ucad.QuickChat.2.0.WhatsApp.like.chat.iOS10.and.Swift.3.part3.rar
https://rapidgator.net/file/7e45090df2c0a70f536d5e2527924f9c/1ucad.QuickChat.2.0.WhatsApp.like.chat.iOS10.and.Swift.3.part4.rar
https://rapidgator.net/file/1327e61c31a9f9d3e1654024d392a97c/1ucad.QuickChat.2.0.WhatsApp.like.chat.iOS10.and.Swift.3.part5.rar

R Programming Mastering R for data analysis

July 25, 2019, 7:21 pm

≫ Next: Raspberry Pi Weekly [Updated 12-6-2019]

≪ Previous: QuickChat 2.0 (WhatsApp like chat) iOS10 and Swift 3

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R Programming: Mastering R for data analysis
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 22 | 1.10 GB
Genre: eLearning | Language: English

Learn to prepare, analyze and build packages in R. Gain in-depth knowledge of advanced programming techniques.

R will soon be the leading coding language in data science and statistics. Many professionals choose to use R in a variety of industries and scientific fields. Not many take the time to learn it because they don't know its importance for the future. Now is your opportunity to learn this powerful language while it is still in high demand.

In this introductory course, you'll learn everything that you need to know about R to become a successful data visualisation expert. Each video tutorial is easy to follow along with, and even if you've never worked with R before or don't have any coding experience, you'll be able to get started immediately. We start off slow, walking through the basics of R and with each lesson, you'll progressively develop new skills and learn new aspects of R. Over the course of 20 video lessons in R, you'll learn everything from downloading and installing R to creating your own unique functions and packages.

As you move through the R course, you'll learn a variety of essential skills that will make you a Data Science professional. After the basics, you'll learn how to utilise data structures including vectors, matrices, lists, and data frames to create visualisations. Towards the end of the course, you'll learn to use the advanced graphical capabilities of R.

By no means are these video tutorials meant as a way to passively learn R. Each step of the way, you'll be tested and will solve real data problems along with instant feedback to guide you to the correct solution if you need help. This is by far the easiest and most accessible way to learn R even if you have no prior experience or knowledge of Data Science of programming. Don't let the world pass you by and learn the data skills that will make you a valuable asset to any company of the future.


DOWNLOAD

Code:

http://nitroflare.com/view/948CC1C00DE72C8/690m3.R.Programming.Mastering.R.for.data.analysis.part1.rar
http://nitroflare.com/view/9B49544C1F402E5/690m3.R.Programming.Mastering.R.for.data.analysis.part2.rar
http://nitroflare.com/view/6ECB76F29974112/690m3.R.Programming.Mastering.R.for.data.analysis.part3.rar
http://nitroflare.com/view/A4C711464DB699E/690m3.R.Programming.Mastering.R.for.data.analysis.part4.rar

Code:

https://rapidgator.net/file/73c7d7127640debcea50c47690bd92b7/690m3.R.Programming.Mastering.R.for.data.analysis.part1.rar
https://rapidgator.net/file/7368d1179ff885915fa8a71dbf370a53/690m3.R.Programming.Mastering.R.for.data.analysis.part2.rar
https://rapidgator.net/file/e4891bcd66117d59ac5bd3f139d3a46c/690m3.R.Programming.Mastering.R.for.data.analysis.part3.rar
https://rapidgator.net/file/0e7ea7700a1486996642686016b72268/690m3.R.Programming.Mastering.R.for.data.analysis.part4.rar

Raspberry Pi Weekly [Updated 12-6-2019]

July 25, 2019, 7:22 pm

≫ Next: React Fundamentals

≪ Previous: R Programming Mastering R for data analysis

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Raspberry Pi Weekly
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 45M | 194 MB
Genre: eLearning | Language: English

Raspberry Pi lets you explore electronics, computer, programming, and the Internet of Things. You can build complex projects on a budget-from robots to media servers. This weekly series helps you create meaningful projects in a short time, and learn tips and key techniques that will help you across your creations. Each episode teaches you a coherent set of software and hardware approaches to connect computing power to the physical world. Join instructor Mark Niemann-Ross every week for a new Raspberry Pi technique.


DOWNLOAD

Code:

http://nitroflare.com/view/EEA6DBF2BF10F3C/op2qx.Raspberry.Pi.Weekly.Updated.1262019.part1.rar
http://nitroflare.com/view/94906D8BD02E122/op2qx.Raspberry.Pi.Weekly.Updated.1262019.part2.rar

Code:

https://rapidgator.net/file/99a443d3a25eef3b9da97c7132c61cc1/op2qx.Raspberry.Pi.Weekly.Updated.1262019.part1.rar
https://rapidgator.net/file/7b2c74cc7b08176785670a57899b3880/op2qx.Raspberry.Pi.Weekly.Updated.1262019.part2.rar

React Fundamentals

July 25, 2019, 7:24 pm

≫ Next: Recent HTML 5 boot camp 2019

≪ Previous: Raspberry Pi Weekly [Updated 12-6-2019]

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React Fundamentals
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 17 | 118 MB
Genre: eLearning | Language: English

Learn the fundamentals of React and start your journey with this amazing library

This is a short introductory course which will teach you the magic of React. React is a javascript library, which lets you build user interfaces using separate components.

You'll learn how to set up your own React environment in just matter of minutes and learn such concepts as:

React elements
JSX
Components
Props
State
Lifecycle methods
Containers
Form and input managing
Conditional Rendering
React Router V4


DOWNLOAD

Code:

http://nitroflare.com/view/2A2A8C71FF72620/pqf4y.React.Fundamentals.part1.rar
http://nitroflare.com/view/3D77FF5B6CAE329/pqf4y.React.Fundamentals.part2.rar

Code:

https://rapidgator.net/file/4e2f3a8291a5ebcc43597f3f80f7be35/pqf4y.React.Fundamentals.part1.rar
https://rapidgator.net/file/2c0398acdcf9cc9394d67b6e990b331f/pqf4y.React.Fundamentals.part2.rar

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Recent HTML 5 boot camp 2019

July 25, 2019, 7:25 pm

≫ Next: Reporting Financial Results When Earnings Are Disappointing

≪ Previous: React Fundamentals

$

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Recent HTML 5 boot camp 2019
.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 1.2 GB
Duration: 3 hours | Genre: eLearning Video | Language: English

Learn html 5 from basics till advancing

What you'll learn

html basics (how to make a paragraph - title -insert an image - make a link - list - table ..........)
learn html 5 tags like (audio - video)
how to make a login, signup forms or any kind of forms
learn inline CSS
some other tricks in html

Requirements

any up to date browser
any text editor( visual studio code is preferred)

Description

Html 5 course which explain html from scratch and everything in html.

-The course starts with a small introduction about html and html syntax.

- Then the main and the essential tags in html like (heading - paragraph - image - link .........)

- All attributes used with html tags to make it looks great.

- and finally an extra section which contain some new tags and attributes used with certain html tags.

so it contain everything you need to learn in html and things will be helpful for you in your job or study .

check the curriculum then make your decision .

Best of luck.

Who this course is for:

beginners who wanna learn html from basics
people wanna start a career as a web designer
people wanna start a career as a web developer
people already know some html and wanna get more advanced


DOWNLOAD

Code:

http://nitroflare.com/view/BC445E900832BF2/zu8ot.Recent.HTML.5.boot.camp.2019.part1.rar
http://nitroflare.com/view/3C7D4C84569EC75/zu8ot.Recent.HTML.5.boot.camp.2019.part2.rar
http://nitroflare.com/view/33B0FF1C8E32FDE/zu8ot.Recent.HTML.5.boot.camp.2019.part3.rar

Code:

https://rapidgator.net/file/59cac1b73c9bdac262c2a8256a68bbdc/zu8ot.Recent.HTML.5.boot.camp.2019.part1.rar
https://rapidgator.net/file/ea855a8a41f68fa2b422b36ebd0f4eec/zu8ot.Recent.HTML.5.boot.camp.2019.part2.rar
https://rapidgator.net/file/9c0d3dcaa93cb7a2d66035b20280c118/zu8ot.Recent.HTML.5.boot.camp.2019.part3.rar

Reporting Financial Results When Earnings Are Disappointing

July 25, 2019, 7:27 pm

≫ Next: Rust Projects

≪ Previous: Recent HTML 5 boot camp 2019

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Reporting Financial Results When Earnings Are Disappointing
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 17 | 88 MB
Genre: eLearning | Language: English

Steps and Strategies When Earnings Fall Short of Expectations - Financial Reporting Damage Control For Management 2019

Are You An Accounting Manager, Controller, CFO or CEO?

Do You Have To Present The Financial Reports and Results For Your Company To Higher Ups?

Ever Wonder How To Present Financials To Your Management or Board When The Results Aren't Great?

Do You Want To Know How To Put a Positive Message on Negative Results?


DOWNLOAD

Code:

http://nitroflare.com/view/E03A972F0FF63FE/el6uf.Reporting.Financial.Results.When.Earnings.Are.Disappointing.rar

Code:

https://rapidgator.net/file/e18663671ea766eb2e757c0725b034d6/el6uf.Reporting.Financial.Results.When.Earnings.Are.Disappointing.rar

Rust Projects

July 25, 2019, 7:28 pm

≫ Next: RxJS in Angular Reactive Development

≪ Previous: Reporting Financial Results When Earnings Are Disappointing

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Rust Projects
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | 764 MB
Genre: eLearning | Language: English

The Rust programming language is a boon for systems programmers because of its powerful and expressive type system and strict compile-time static analysis. Still, there are best practices to follow and idioms that the community has developed over time. This course tackles testing, building and distributing applications, and other real-world challenges using Rust, Cargo, and the Rustup toolchain manager.

You will build four projects, including a search tool, a Markdown parser, a chat server and client, and a blog. In this course, we'll progress from command line applications, built with proper command line argument parsing and error handling, to more complex applications like a GUI text editor and several web applications. We'll explore asynchronous programming and concurrent programming in Rust using real-world scenarios like file searching and stress testing. Finally, we'll build a simple web app that interacts with a database in a type-safe manner using Diesel.

By the end of the course, you will be adept with the knowledge of Rust to practically implement it in real-world projects. You'll know enough to build high-quality software that can be shared with the rest of the Rust community or even used in production.

The code bundle for this video course is available at:
https://github.com/PacktPublishing/Rust-Projects


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Code:

http://nitroflare.com/view/3E5FDD7F1D92BBE/fjv1x.Rust.Projects.part1.rar
http://nitroflare.com/view/485B2757EB57072/fjv1x.Rust.Projects.part2.rar
http://nitroflare.com/view/A1F47F34771C08A/fjv1x.Rust.Projects.part3.rar
http://nitroflare.com/view/1898AD71AED44C1/fjv1x.Rust.Projects.part4.rar

Code:

https://rapidgator.net/file/66395caf5ad1223736fdb6cbb3036d7e/fjv1x.Rust.Projects.part1.rar
https://rapidgator.net/file/ce80ed38f040525962315e33299cd1de/fjv1x.Rust.Projects.part2.rar
https://rapidgator.net/file/f96f624d51db5ba5dc85db48c1440596/fjv1x.Rust.Projects.part3.rar
https://rapidgator.net/file/3f20c682bed8a366e24dfc3ffd3cd9b2/fjv1x.Rust.Projects.part4.rar

RxJS in Angular Reactive Development

July 25, 2019, 7:29 pm

≫ Next: SAP Fiori Apps Library

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RxJS in Angular: Reactive Development
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 48M | 487 MB
Genre: eLearning | Language: English

Angular uses RxJS to create Observable data streams, but that's just one of its many features. In this course, you'll learn how to combine streams from multiple data sources, create action streams to react more easily to user actions, and much more.

Angular uses RxJS to create Observable data streams, but that's just one of its many features. In this course, RxJS in Angular: Reactive Development, you will gain the ability to develop your applications with a more declarative and reactive approach using RxJS. First, you will learn RxJS terms and syntax and examine several key RxJS operators so you can better leverage this powerful technology. Next, you will discover a declarative approach to defining data streams and combining data streams to merge data from multiple sources so you can more easily display useful related data for your users. Finally, you will explore how to create streams from user actions, such as a selection, and merge the data streams with the action streams to react to those actions, automatically updating the view as needed. When you are finished with this course, you will have the skills and knowledge of RxJS needed to incorporate the power of Observable streams into your applications, providing your users with a more performant and interactive application.


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Code:

http://nitroflare.com/view/F24F5C540FFEAC3/sd5ja.RxJS.in.Angular.Reactive.Development.part1.rar
http://nitroflare.com/view/EF1ABEC326FCAFE/sd5ja.RxJS.in.Angular.Reactive.Development.part2.rar
http://nitroflare.com/view/C51FE511AD75A18/sd5ja.RxJS.in.Angular.Reactive.Development.part3.rar
http://nitroflare.com/view/11AEEA60D979B5D/sd5ja.RxJS.in.Angular.Reactive.Development.part4.rar

Code:

https://rapidgator.net/file/4bdf02dc144ae151f4fbcfe7e6d0e310/sd5ja.RxJS.in.Angular.Reactive.Development.part1.rar
https://rapidgator.net/file/cda8058a3ccac40345cc173739bf853f/sd5ja.RxJS.in.Angular.Reactive.Development.part2.rar
https://rapidgator.net/file/7afa5b4a78d2d1ab4c348f02076d0697/sd5ja.RxJS.in.Angular.Reactive.Development.part3.rar
https://rapidgator.net/file/54385059efc21961425aedd99d620cd6/sd5ja.RxJS.in.Angular.Reactive.Development.part4.rar

SAP Fiori Apps Library

July 25, 2019, 7:31 pm

≫ Next: SAT Writing (Learn How to Study for the New SAT Writing)

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SAP Fiori Apps Library
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 122 MB
Genre: eLearning | Language: English

Whether your role is in business, IT, or development, the Fiori Apps Library is the definitive resource for customizing your SAP experience. Using the library, you can tailor your own Fiori launchpad to suit your workday needs. This concise course teaches you how to make the most of the online catalog of Fiori applications. Learn how to navigate and filter the library, search for apps, manage profiles, and get specific Fiori app recommendations based on your system.


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Code:

http://nitroflare.com/view/A32911C1F363776/v1j2s.SAP.Fiori.Apps.Library.part1.rar
http://nitroflare.com/view/D7A35D494C7F8D7/v1j2s.SAP.Fiori.Apps.Library.part2.rar

Code:

https://rapidgator.net/file/1408709289c709578c1344d6973e2bb6/v1j2s.SAP.Fiori.Apps.Library.part1.rar
https://rapidgator.net/file/85b369db2b8c5a93e0ed01a8d722f576/v1j2s.SAP.Fiori.Apps.Library.part2.rar