Learn Programming and Game Development in Godot Engine
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Learn Programming and Game Development in Godot Engine
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 107 lectures (6h 12m) | Size: 5.56 GB
Become a Game Developer
What you'll learn:
Create games using the Godot Engine
Write code in GDScript (programming language)
Create and use custom variables, functions, classes, and objects
Combine nodes to create custom scenes
Requirements
No requirements
Description
In this course, you'll learn the fundamentals of programming and game development using the Godot game engine.
You don't need any programming experience to take this course. Everything will be taught as we go.
We'll start out by covering the very basics of programming, such as variables, functions, and loops.
You'll also learn how to use arrays and dictionaries to store data, and how to control the flow of logic with if-else statements.
You'll learn about object-oriented programming (OOP) as we cover classes, objects, and inheritance.
You'll become familiar with using nodes and scenes as building blocks for your game, and controlling its behavior through scripts.
The course is designed to teach you good programming habits, such as the use of static typing, assertions, and prefixed local variable names.
Every line of code will be broken down and explained in detail, so that you'll understand exactly what it does and how.
We'll be creating 3 different games in this course: a side-scroller, a trivia game, and a top-down shooter.
By the end of the course, you'll have enough programming knowledge to create your own games and applications.
You will then be prepared and able to follow along with intermediate-level Godot tutorials and courses with relative ease.
Who this course is for
Beginner programmers
Beginner Godot Engine users
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/learn-programming-and-game-development-in-godot-engine/
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Code:
https://nitro.download/view/C6009FE5468D875/Learn_Programming_and_Game_Development_in_Godot_Engine.part1.rar
https://nitro.download/view/65FFF910696927E/Learn_Programming_and_Game_Development_in_Godot_Engine.part2.rar
https://nitro.download/view/DC585D51F918594/Learn_Programming_and_Game_Development_in_Godot_Engine.part3.rar
https://nitro.download/view/F7FA45C7D79B30C/Learn_Programming_and_Game_Development_in_Godot_Engine.part4.rar
https://nitro.download/view/5E5A000184493B4/Learn_Programming_and_Game_Development_in_Godot_Engine.part5.rar
https://nitro.download/view/827491A4C7F3669/Learn_Programming_and_Game_Development_in_Godot_Engine.part6.rar
https://nitro.download/view/5BB8F75C40F6595/Learn_Programming_and_Game_Development_in_Godot_Engine.part7.rar
Code:
https://rapidgator.net/file/c70378e134409933c2ef29345e94f436/Learn_Programming_and_Game_Development_in_Godot_Engine.part1.rar.html
https://rapidgator.net/file/5dcb9b7f0e1e459adacb90012e92c139/Learn_Programming_and_Game_Development_in_Godot_Engine.part2.rar.html
https://rapidgator.net/file/909ff094dd98c30f3fe1a26621632066/Learn_Programming_and_Game_Development_in_Godot_Engine.part3.rar.html
https://rapidgator.net/file/77e4e174ebc0602c0a806b69208628eb/Learn_Programming_and_Game_Development_in_Godot_Engine.part4.rar.html
https://rapidgator.net/file/532d7fe149c076be7ce8ce3e4209e90b/Learn_Programming_and_Game_Development_in_Godot_Engine.part5.rar.html
https://rapidgator.net/file/f6ff1b384d331a06188ea6bd912df7c7/Learn_Programming_and_Game_Development_in_Godot_Engine.part6.rar.html
https://rapidgator.net/file/46203cfde11d56b23db227d0d39b823d/Learn_Programming_and_Game_Development_in_Godot_Engine.part7.rar.html
JBOSS EAP 7.3, Level-0 To Level-4, Project Based & Real Time
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JBOSS EAP 7.3, Level-0 To Level-4, Project Based & Real Time
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 136 lectures (18h 15m) | Size: 5.93 GB
Project & Incident Based Training - Basic To Advanced - 100% Unix Operating System - 100% Hands On With Arch Diagrams
What you'll learn:
JBOSS Application Server
JBOSS EAP
JBOSS Administration
JBOSS
Enterprise application platform
Requirements
There is no pre-requisites for this course
Description
Past & Future Road-Map with status:
Feb 2021: Converted this training to Project based course Module added -> Added 20 New Videos
Feb 2021: Number 2, VMware Virtual Machine Creation video for Jboss Added -> Added 2 New Videos
March 2021: What is port number with example -> 1 New Video Added
March 2021: Authentication & Authorization Video to be added -> Added 6 New Videos + 4 Videos On Progress
April 2021: MOD_CLUSTER -> Added New Project
May 2021: JBOSS CLI Project Videos -> Added Multiple videos on June 2021
Sept 2021: Adding JMS -> Delayed
June 2021: Interview Questions to be added -> Delayed
Introduction:
Guys, this is Venkat Raman V, welcome to my course on Jboss Enterprise Application Platform 7.3 version.
Important Information about this training:
No reading from presentation, the architecture, the diagrams are self made all those words in your PDF too.
Only on Linux prod like environment using SSH terminal no GUI (only for browser, windows o/s will be used)
No Linux experience needed,
Commands and method of execution is given in the video & PDF is attached for the commands,
Just follow the video and execute the commands in the PDF.
You can learn basic Linux commands also in this training as I have covered all the basic commands while going though the training.
About The Course:
This course introduces the student to Jboss EAP. Students will learn skills necessary to understand basic & advanced Jboss eap concepts and administrative tasks. At the end of this course the student will learn how to install jboss, understand JBOSS standalone and domain concepts, and administer jboss, configure ssl, horizontal cluster, working with jboss-cli mode, troubleshooting logs, setting JVM values and parameters, etc. in a very detailed manner.
This course is geared toward administrators, developers, or architects who are looking to understand fundamental to expert level on jboss concepts and how to administer a jboss environment quickly. My course is all done in linux ENV, only windows is used for browisng the application though an browser.
Relax and enjoy this course.
Who can take this course:
Anyone, no experience needed to take up this course on JBOSS.
After finishing this course you will be:
Expert level in JBOSS application server.
You can understand and resolve problems which is part of your JBOSS application server.
As I am covering overview of the other components of your application server you can also have some experience on those topics as well.
You can troubleshoot JBOSS and its related products.
You can fine tune JBOSS and its related products.
Who this course is for
jboss application server
Jboss EAP 7.3
Jboss Wildfly
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/jboss-eap/
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Code:
https://nitro.download/view/0D571BF03B28F9F/JBOSS_EAP_7_3%2C_Level-0_To_Level-4%2C_Project_Based_%26_Real_Time.part1.rar
https://nitro.download/view/584C54CFB66B72E/JBOSS_EAP_7_3%2C_Level-0_To_Level-4%2C_Project_Based_%26_Real_Time.part2.rar
https://nitro.download/view/CA7548722046B40/JBOSS_EAP_7_3%2C_Level-0_To_Level-4%2C_Project_Based_%26_Real_Time.part3.rar
https://nitro.download/view/F9306F1C9CD8002/JBOSS_EAP_7_3%2C_Level-0_To_Level-4%2C_Project_Based_%26_Real_Time.part4.rar
https://nitro.download/view/AAE557227F4A8A7/JBOSS_EAP_7_3%2C_Level-0_To_Level-4%2C_Project_Based_%26_Real_Time.part5.rar
https://nitro.download/view/C0DD5C8B9F26F0B/JBOSS_EAP_7_3%2C_Level-0_To_Level-4%2C_Project_Based_%26_Real_Time.part6.rar
https://nitro.download/view/3AA824F3207E58B/JBOSS_EAP_7_3%2C_Level-0_To_Level-4%2C_Project_Based_%26_Real_Time.part7.rar
https://nitro.download/view/28D6FBCD100176F/JBOSS_EAP_7_3%2C_Level-0_To_Level-4%2C_Project_Based_%26_Real_Time.part8.rar
Code:
https://rapidgator.net/file/3346d16bff2b111812a1654366860c6f/JBOSS_EAP_7_3,_Level-0_To_Level-4,_Project_Based_&_Real_Time.part1.rar.html
https://rapidgator.net/file/8101f8ee19dabae9f7e651e3e645d311/JBOSS_EAP_7_3,_Level-0_To_Level-4,_Project_Based_&_Real_Time.part2.rar.html
https://rapidgator.net/file/b9d45138ba8bf7c2e748dcab73bad207/JBOSS_EAP_7_3,_Level-0_To_Level-4,_Project_Based_&_Real_Time.part3.rar.html
https://rapidgator.net/file/e67556050b691fbf5ca50fba6d9e389e/JBOSS_EAP_7_3,_Level-0_To_Level-4,_Project_Based_&_Real_Time.part4.rar.html
https://rapidgator.net/file/c77c93125bb0086315501865413d1208/JBOSS_EAP_7_3,_Level-0_To_Level-4,_Project_Based_&_Real_Time.part5.rar.html
https://rapidgator.net/file/22de71ae5c3ade75903a4d2744939a82/JBOSS_EAP_7_3,_Level-0_To_Level-4,_Project_Based_&_Real_Time.part6.rar.html
https://rapidgator.net/file/b420339b42d7381bcb779a54cea8edcb/JBOSS_EAP_7_3,_Level-0_To_Level-4,_Project_Based_&_Real_Time.part7.rar.html
https://rapidgator.net/file/1d101538a3ca8ea473293f2f3e298c4a/JBOSS_EAP_7_3,_Level-0_To_Level-4,_Project_Based_&_Real_Time.part8.rar.html
Deep Learning using Keras - Complete & Compact Dummies Guide
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Deep Learning using Keras - Complete & Compact Dummies Guide
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 74 lectures (8h 21m) | Size: 5.24 GB
Computer Vision with CNN: Basic Python, Numpy, Pandas, Matplotlib, Keras Text MLP, VGGNet, ResNet, Custom Model in Colab
What you'll learn:
Deep Learning
Computer Vision
Keras
Machine Learning
Python
Requirements
Basic computer knowledge and an interest to learn the Deep Learning using Keras
Description
Welcome to my new course 'Deep Learning from the Scratch using Python and Keras'. This is the second course of my Deep Learning Series.
As you already know the artificial intelligence domain is divided broadly into deep learning and machine learning. In-fact deep learning is machine learning itself but Deep learning with its deep neural networks and algorithms try to learn high-level features from data without human intervention. That makes deep learning the base of all future self intelligent systems.
And in this course, I am starting from the very basic things to learn like learning the programming language basics and other supporting libraries at first and proceed with the core topic.
Let's see what are the interesting topics included in this course. At first we will have an introductory theory session about Artificial Intelligence, Machine learning, Artificial Neurons based Deep Learning and Neural Networks.
After that, we are ready to proceed with preparing our computer for python coding by downloading and installing the anaconda package and will check and see if everything is installed fine. We will be using the browser based IDE called Jupyter notebook for our further coding exercises.
I know some of you may not be coming from a python based programming background. The next few sessions and examples will help you get the basic python programming skill to proceed with the sessions included in this course. The topics include Python assignment, flow-control, functions List and Tuples, Dictionaries, Functions etc.
Then we will start with learning the basics of the Python Numpy library which is used to adding support for large, multi-dimensional arrays and matrices, along with a large collection of classes and functions. Then we will learn the basics of matplotlib library which is a plotting library for Python for corresponding numerical expressions in NumPy. And finally the pandas library which is a software library written for the Python programming language for data manipulation and analysis.
After the basics, we will then install the deep learning libraries theano, tensorflow and the API for dealing with these called as Keras. We will be writing all our future codes in keras.
Then before we jump into deep learning, we will have an elaborate theory session about the basic Basic Structure of an Artificial Neuron and how they are combined to form an artificial Neural Network. Then we will see what exactly is an activation function, different types of most popular activation functions and the different scenarios we have to use each of them.
After that we will see about the loss function, the different types of popular loss functions and the different scenarios we have to use each of them.
Like the Activation and loss functions, we have optimizers which will optimize the neural network based on the training feedback. We will also see the details about most popular optimizers and how to decide in which scenarios we have to use each of them.
Then finally we will discuss about the most popular deep learning neural network types and their basic structure and use cases.
Further the course is divided into exactly two halves. The first half is about creating deep learning multi-layer neural network models for text based dataset and the second half about creating convolutional neural networks for image based dataset.
In Text based simple feed forward multi-layer neural network model we will start with a regression model to predict house prices of King County USA. The first step will be to Fetch and Load Dataset from the kaggle website into our program.
Then as the second step, we will do an EDA or an Exploratory Data Analysis of the loaded data and we will then prepare the data for giving it into our deep learning model. Then we will define the Keras Deep Learning Model.
Once we define the model, we will then compile the model and later we will fit our dataset into the compiled model and wait for the training to complete. After training, the training history and metrics like accuracy, loss etc can be evaluated and visualized using matplotlib.
Finally we have our already trained model. We will try doing a prediction of the king county real estate price using our deep learning model and evaluate the results.
That was a text based regression model. Now we will proceed with a text based binary classification model. We will be using a derived version of Heart Disease Data Set from the UCI Machine Learning Repository. Our aim is to predict if a person will be having heart disease or not from the learning achieved from this dataset. The same steps repeat here also.
The first step will be to Fetch and Load Dataset into our program.
Then as the second step, we will do an EDA or an Exploratory Data Analysis of the loaded data and we will then prepare the data for giving it into our deep learning model. Then we will define the Keras Deep Learning Model.
Once we define the model, we will then compile the model and later we will fit our dataset into the compiled model and wait for the training to complete. After training, the training history and metrics like accuracy, loss etc can be evaluated and visualized using matplotlib.
Finally we have our already trained model. We will try doing a prediction for heart disease using our deep learning model and evaluate the results.
After the text based binary classification model. Now we will proceed with a text based multi class classification model. We will be using the Red Wine Quality Data Set from the kaggle website. Our aim is to predict the multiple categories in which a redwine sample can be placed from the learning achieved from this dataset. The same steps repeat here also.
The first step will be to Fetch and Load Dataset into our program.
Then as the second step, we will do an EDA or an Exploratory Data Analysis of the loaded data and we will then prepare the data for giving it into our deep learning model. Then we will define the Keras Deep Learning Model.
Once we define the model, we will then compile the model and later we will fit our dataset into the compiled model and wait for the training to complete. After training, the training history and metrics like accuracy, loss etc can be evaluated and visualized using matplotlib.
Finally we have our already trained model. We will try doing a prediction for wine quality with a new set of data and then evaluate the categorical results.
We may be spending much time, resources and efforts to train a deep learning model. We will learn about the techniques to save an already trained model. This process is called serialization. We will at first serialize a model. Then later load it in another program and do the prediction without having to repeat the training.
That was about text based data. We will now proceed with image based data. In the preliminary session we will have an introduction to Digital Image Basics in which we learn about the composition and structure of a digital image.
Then we will learn about Basic Image Processing using Keras Functions. There are many classes and functions that help with pre processing an image in the Keras library api. We will learn about the most popular and useful functions one by one.
Another important and useful image processing function in keras is Image Augmentation in which slightly different versions of images are automatically created during training. We will learn about single image augmentation, augmentation of images within a directory structure and also data frame image augmentation.
Then another theory session about the basics of a Convolutional neural network or CNN. We will learn how the basic CNN layers like convolution layer, the pooling layer and the fully connected layer works.
There are concepts like Stride Padding and Flattening in convolution for image processing. We will learn them also one by one.
Now we are all set to start with our CNN Model. We will be designing a model that can classify 5 different types of flowers if provided with an image of a flower in any of these categories. We will be at first downloading the dataset from the kaggle website. Then the first step will be to Fetch and Load this Dataset from our computer into our program.
Then as the second step, we have to split this dataset manually for training and then later testing the model. We will arrange them into training and testing folders with each class labelled in separate folders.
Then we will define the Keras Deep Learning Model. Once we define the model, we will then compile the model and later we will fit our dataset into the compiled model and wait for the training to complete. After training, the training history and metrics like accuracy, loss etc can be evaluated and visualized using matplotlib.
Finally we have our already trained model. We will try doing a prediction for five different types of flowers with a new set of image data and then evaluate the categorical results.
There are many techniques which we can use to improve the quality of a model. Especially an image based model. The most popular techniques are doing dropout regularization of the model.
The next technique is doing the optimization and adjustment of the padding and also the filters in the convolution layers.
And finally optimization using image augmentation. We will tweak different augmentation options in this session.
Doing these optimization techniques manually one by one and comparing results is a very tedious task. So we will be using a technique called Hyper parameter tuning in which the keras library itself will switch different optimization techniques that we specify and will report and compare the results without we having to interfere in it.
Even though these techniques and creation of a model from the scratch is fun. Its very time consuming and may take ages if you are planning to design a large model. In this situation a technique called transfer learning can help us.
We will take the world renounced, state of the art, most popular pre-trained deep learning models designed by experts and we will transfer the learning into our model so that we can make use of the architecture of that model into our custom model that we are building.
The popular state of the art model architectures that we are going to use are the VGG16, VGG19 designed by deep learning experts from the University of Oxford and also ResNet50 created in ImageNet challenge to address the vanishing gradient problem.
We will at first download these models using keras and will try simple predictions using these pre-trained models. Later we will try the network training for our flower dataset itself using the VGG16. we will make few changes in the model to incorporate our dataset into it. Since the network architecture is not that simple, in our computer it will take a lot of time to complete the training.
So instead of CPU, we have to use a GPU to enhance parallel processing. We will be using a cloud based Free GPU service provied by goggle called Google Colab. At first we will try training with VGG16 in google colab. We will prepare, zip and upload the dataset into google colab. Then we will extract it using linux comands and then do the training. The training is almost ten times faster compared to the local computer. Once we have the trained model we will serialize the model and will do the prediction.
The same procedure will be repeated for VGG19 and also for ResNet.
And that's all about the topics which are currently included in this quick course. The code, images, models and weights used in this course has been uploaded and shared in a folder. I will include the link to download them in the last session or the resource section of this course. You are free to use the code in your projects with no questions asked.
Also after completing this course, you will be provided with a course completion certificate which will add value to your portfolio.
So that's all for now, see you soon in the class room. Happy learning and have a great time.
Who this course is for
Beginner who wants to learn the Basic to Advanced Deep Learning
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/deep-learning-computer-vision-using-keras-dummies-guide/
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Code:
https://nitro.download/view/21D78BCC60A7464/Deep_Learning_using_Keras_-_Complete_%26_Compact_Dummies_Guide.part1.rar
https://nitro.download/view/50271D870DDD46B/Deep_Learning_using_Keras_-_Complete_%26_Compact_Dummies_Guide.part2.rar
https://nitro.download/view/A805DA6A889B764/Deep_Learning_using_Keras_-_Complete_%26_Compact_Dummies_Guide.part3.rar
https://nitro.download/view/68BC04ECEDB6355/Deep_Learning_using_Keras_-_Complete_%26_Compact_Dummies_Guide.part4.rar
https://nitro.download/view/B56C29672DC81CB/Deep_Learning_using_Keras_-_Complete_%26_Compact_Dummies_Guide.part5.rar
https://nitro.download/view/C7E442B477748CF/Deep_Learning_using_Keras_-_Complete_%26_Compact_Dummies_Guide.part6.rar
Code:
https://rapidgator.net/file/73323bce8fe1c338cdce22922a1a1c99/Deep_Learning_using_Keras_-_Complete_&_Compact_Dummies_Guide.part1.rar.html
https://rapidgator.net/file/c480f0aea04fbb1039ad78360ee96515/Deep_Learning_using_Keras_-_Complete_&_Compact_Dummies_Guide.part2.rar.html
https://rapidgator.net/file/b8cc880232bc315ca0f0f4a6dac39149/Deep_Learning_using_Keras_-_Complete_&_Compact_Dummies_Guide.part3.rar.html
https://rapidgator.net/file/a4665df44f1d054433ac3c01eae168ce/Deep_Learning_using_Keras_-_Complete_&_Compact_Dummies_Guide.part4.rar.html
https://rapidgator.net/file/91365ff5cf193b8e3c593bd4a33adf4e/Deep_Learning_using_Keras_-_Complete_&_Compact_Dummies_Guide.part5.rar.html
https://rapidgator.net/file/62ecf447d1d70a5dfdb0c8ce88f502b1/Deep_Learning_using_Keras_-_Complete_&_Compact_Dummies_Guide.part6.rar.html
Blender Cyberpunk in Unity HDRP
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Blender Cyberpunk in Unity HDRP
Pete Jepson | Duration: 33h 08m | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 28,7 GB | Language: English + SUB
Professional game asset creation for Unity using Blender and Substance Painter
Cyberpunk is a vibrant, exciting and neon drenched game environment appearing in more and more video games.
In this series I am going to show you a professional production process for creating both low poly and high poly modular game assets for creating a cyberpunk city for use in the Unity High Definition Render Pipeline (HDRP)
We will be modelling in Blender 2.82, where I will be showing you lots of cool techniques, shortcuts and best practices. We will be UV unwrapping the models to ensure we get high quality professional results.
We then jump over to Substance Painter 2019, one of the leading procedural texturing applications used in the game design industry today. I will be showing you how to create 4K multi layered materials that have that wow factor and the realism that is expected in today's game industry. We will also be covering opacity layers and emission channels for the neon glows.
Finally we take our optimised low poly 3D models with High Definition texture maps into Unity and set up and render a realistic scene using the HDRP settings in Unity which have some of the most realistic and impressive lighting and rendering capabilities in any game engine at the moment.
By the end of this course you will be very confident with making and texturing your own game objects. You will have an impressive piece you can include in your game design portfolios.
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/blender-cyberpunk-in-unity-hdrp/?deal_code=&utm_source=aff-campaign&utm_medium=udemyads&utm_term=Homepage&utm_content=Textlink&utm_campaign=Admitad-default&admitad_uid=97cd76a7d9d0dea60ef96a1f6dc8cfcd&publisher_id=1045339&website_id=1118709#instructor-1
[Only registered and activated users can see links. Click Here To Register...]
Code:
https://nitro.download/view/573C785644B767E/Cyberpunk-in-Unity.part01.rar
https://nitro.download/view/2A69A355C1F1D8E/Cyberpunk-in-Unity.part02.rar
https://nitro.download/view/D78511AB446DFB4/Cyberpunk-in-Unity.part03.rar
https://nitro.download/view/612B21F6C7FF8B3/Cyberpunk-in-Unity.part04.rar
https://nitro.download/view/D01DE709C920092/Cyberpunk-in-Unity.part05.rar
https://nitro.download/view/988F3E70BE6A44B/Cyberpunk-in-Unity.part06.rar
https://nitro.download/view/234008283208332/Cyberpunk-in-Unity.part07.rar
https://nitro.download/view/3ED493065E09356/Cyberpunk-in-Unity.part08.rar
https://nitro.download/view/CE0997408EEDFE1/Cyberpunk-in-Unity.part09.rar
https://nitro.download/view/334944170DBFF81/Cyberpunk-in-Unity.part10.rar
https://nitro.download/view/6E20EBCE8FD093E/Cyberpunk-in-Unity.part11.rar
https://nitro.download/view/10541B4F869E60A/Cyberpunk-in-Unity.part12.rar
https://nitro.download/view/155D5B4E82D538E/Cyberpunk-in-Unity.part13.rar
https://nitro.download/view/1D9684BB3F6748F/Cyberpunk-in-Unity.part14.rar
https://nitro.download/view/57F9A1ADA3B584B/Cyberpunk-in-Unity.part15.rar
https://nitro.download/view/177AFB5FE270E85/Cyberpunk-in-Unity.part16.rar
https://nitro.download/view/C5D8AA4015A3890/Cyberpunk-in-Unity.part17.rar
https://nitro.download/view/5CB78DE6C035C58/Cyberpunk-in-Unity.part18.rar
https://nitro.download/view/18CF70C643AE9F4/Cyberpunk-in-Unity.part19.rar
https://nitro.download/view/934ED657F18C66E/Cyberpunk-in-Unity.part20.rar
https://nitro.download/view/0C5D84E59B68D5D/Cyberpunk-in-Unity.part21.rar
https://nitro.download/view/18B743264E538AA/Cyberpunk-in-Unity.part22.rar
https://nitro.download/view/F94CF717EEC82EA/Cyberpunk-in-Unity.part23.rar
https://nitro.download/view/60EC40D8A73E027/Cyberpunk-in-Unity.part24.rar
https://nitro.download/view/77C5A1435E907A3/Cyberpunk-in-Unity.part25.rar
https://nitro.download/view/5ADACFC8561C44F/Cyberpunk-in-Unity.part26.rar
https://nitro.download/view/8FEA19CB980EB47/Cyberpunk-in-Unity.part27.rar
https://nitro.download/view/9299C23E94B203F/Cyberpunk-in-Unity.part28.rar
https://nitro.download/view/92E503DF82E1FEF/Cyberpunk-in-Unity.part29.rar
Code:
https://rapidgator.net/file/204c61260f43b39527b1d5f3db7481b4/Cyberpunk-in-Unity.part01.rar.html
https://rapidgator.net/file/b6fa95ef036d372721c4cfa1612c5ca2/Cyberpunk-in-Unity.part02.rar.html
https://rapidgator.net/file/2ef16082be95cdaa97268a3db2cd52b5/Cyberpunk-in-Unity.part03.rar.html
https://rapidgator.net/file/225b3f8a1d884a80c600b92668e8546a/Cyberpunk-in-Unity.part04.rar.html
https://rapidgator.net/file/f654375d6acbddd3e3fbb7f5b1c8e631/Cyberpunk-in-Unity.part05.rar.html
https://rapidgator.net/file/5e1a889ee65e369c3aa52781f4ba5b07/Cyberpunk-in-Unity.part06.rar.html
https://rapidgator.net/file/a53b389af4d4a764ebc4cc591340cd9d/Cyberpunk-in-Unity.part07.rar.html
https://rapidgator.net/file/c2f8415821eed716bce24fc0b5764f9d/Cyberpunk-in-Unity.part08.rar.html
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https://rapidgator.net/file/1ac7bd6c908a5d75481e6db5ad206dee/Cyberpunk-in-Unity.part10.rar.html
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https://rapidgator.net/file/24f14e9bf1a52e7d388645ea6c4fbe21/Cyberpunk-in-Unity.part23.rar.html
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https://rapidgator.net/file/5a6c201a0e7559aca936083d0a247ee9/Cyberpunk-in-Unity.part27.rar.html
https://rapidgator.net/file/978202848314223a8ae3b943b4a88352/Cyberpunk-in-Unity.part28.rar.html
https://rapidgator.net/file/00cf6efa9617d1c8ca7cb4690debe25e/Cyberpunk-in-Unity.part29.rar.html
CppCon 2020: The C++ Conference
[Only registered and activated users can see links. Click Here To Register...]
CppCon 2020: The C++ Conference
Cppcon | Duration: 111h 05m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 26,9 GB | Language: English
CppCon is the annual, week-long online face-to-face gathering for the entire C++ community. The conference is organized by the C++ community for the community.
CppCon's goal is to encourage the best use of C++ while preserving the diversity of viewpoints and experiences, but other than that it is non-partisan and has no agenda. The conference is a project of the Standard C++ Foundation, a not-for-profit organization whose purpose is to support the C++ software developer community and promote the understanding and use of modern, standard C++ on all compilers and platforms.
Homepage
Code:
https://anonymz.com/?https://cppcon.org/about/
[Only registered and activated users can see links. Click Here To Register...]
Code:
https://nitro.download/view/95DB723E155B506/CppCon_2020.part01.rar
https://nitro.download/view/53ED22AF1316FAE/CppCon_2020.part02.rar
https://nitro.download/view/4EF3E552BFEF423/CppCon_2020.part03.rar
https://nitro.download/view/70EE46183A3CA77/CppCon_2020.part04.rar
https://nitro.download/view/C19DC1480F006F7/CppCon_2020.part05.rar
https://nitro.download/view/63566A66542D27B/CppCon_2020.part06.rar
https://nitro.download/view/2FBD96DB2C1DD98/CppCon_2020.part07.rar
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https://nitro.download/view/2D02FDB211039AF/CppCon_2020.part09.rar
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https://nitro.download/view/AB05DE86255BBAF/CppCon_2020.part26.rar
https://nitro.download/view/102486B8390A9C6/CppCon_2020.part27.rar
Code:
https://rapidgator.net/file/593fcdd3566e666369563a429c4224bd/CppCon_2020.part01.rar.html
https://rapidgator.net/file/4a78e8eafdc13ef75fc4652d1d72f88e/CppCon_2020.part02.rar.html
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https://rapidgator.net/file/4cd94b7fa82d0c3de541162a40898971/CppCon_2020.part04.rar.html
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https://rapidgator.net/file/39d84630f1967b14cdcc69b95f347d76/CppCon_2020.part27.rar.html
Build Your Own Awesome Responsive Personal Portfolio Site
[Only registered and activated users can see links. Click Here To Register...]
Build Your Own Awesome Responsive Personal Portfolio Site
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.09 GB | Duration: 10h 16m
What you'll learn
Front-end development
HTML
CSS
Javascript
Git and Github
Hosting
Building Personal Portfolio
Self Branding
Requirements
Basics of coding
Description
Grab on to your seat belts, you are going to build your very own personal PORTFOLIO site now.
In the process, you will learn about HTML5, CSS3, JavaScript, Bootstrap, and some design systems based on bootstrap. You will also learn about hosting a responsive portfolio on the internet. You will follow along with complete details, no points skipped. I will show you while I create my own portfolio. You will also learn the basics of Git and GitHub as well.
Why do you need a portfolio?
A portfolio website communicates your professionalism and commitment to the art more effectively and plainly than a CV. You don't just tell; you present real-life examples and scenarios that speak for themselves. Furthermore, the portfolio website allows you to demonstrate your mature and professional approach to selling your work as well as yourself. Your portfolio is the only place on the internet where you have complete control.
You can construct a never-before-seen platform with unique content and a recognizable brand just how you want it. Your inner creativity can go far beyond any clich? with a private portfolio website. An online portfolio will ensure that you are visible and searchable to potential clients. It enables potential employers to locate you as soon as they use a search engine or go through candidate applications.
A web-based portfolio humanizes you as a master of your craft. People come to you because they like you, not because you're a great web designer, marketer, or copywriter. It's a clever psychological ruse, to be sure. Customers choose people who appear to be more decent, "likable," and friendly-looking than others. Hard skills, on the other hand, are frequently regarded later.
Who this course is for:
Beginner developers
People curious about Front end development
One who wants to create their own personal portfolio
One who wants personal website
Curious about web development
Interested in HTML, CSS and Javascript
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/build-your-own-awesome-responsive-personal-portfolio-site/
[Only registered and activated users can see links. Click Here To Register...]
Code:
https://nitro.download/view/3D6EA37342BE212/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part1.rar
https://nitro.download/view/547DE443844684A/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part2.rar
https://nitro.download/view/93D1B3D375904D9/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part3.rar
https://nitro.download/view/B52D4F4C9CE9175/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part4.rar
https://nitro.download/view/EC19EBAA55A0597/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part5.rar
https://nitro.download/view/D7025AFD4C6FDC5/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part6.rar
https://nitro.download/view/3832694D4A81815/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part7.rar
https://nitro.download/view/033F6127096D0F0/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part8.rar
Code:
https://rapidgator.net/file/1ef6b5ae8fec9e930564459b388d4b8a/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part1.rar.html
https://rapidgator.net/file/1f1dd2b281b69c8fac46b2634305adc0/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part2.rar.html
https://rapidgator.net/file/0cb5226318f09fce5976a574360e6087/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part3.rar.html
https://rapidgator.net/file/3ec19b55f3bfa416780c98d45bbaf8d5/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part4.rar.html
https://rapidgator.net/file/86e35b24db6ff53d23b6b63ba00cfb98/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part5.rar.html
https://rapidgator.net/file/ba72e2260b21b09f48b3fcb4d7e6969d/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part6.rar.html
https://rapidgator.net/file/6432607f70ef1b01730ce4a90c66aeaa/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part7.rar.html
https://rapidgator.net/file/097f78c25745bfd99bbe09f1931998cf/Build_your_own_awesome_responsive_Personal_PORTFOLIO_site.part8.rar.html
AWS with DevOps with Real Client Project Live Demo
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AWS with DevOps with Real Client Project Live Demo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 22 lectures (19h 47m) | Size: 8.3 GB
A Real project based unique course which will teach you Cloud Computing and DevOps both from ground up
What you'll learn:
AWS DevOps Tutorial For Beginners with Live Hands-on Client Project
"AWS DevOps Tutorial" will help you understand what is Continuous Integration and Continuous Deployment through the various tools & services of the AWS suite
This tutorial also explains how to achieve Continuous Integration & Deployment through AWS CodePipeline & EC2
Hands-On session by the end of which you will learn how to deploy a demo application using AWS
Requirements
Access to AWS free account will be useful for better understanding
Basic Understanding of AWS Services
Passion to learn and apply
Description
Welcome to the BEST and MOST UPDATED online resource to learn the skills needed to WORK on REAL Project
The one stop shop for learning DevOps on AWS, to help master DevOps concepts, along with the AWS tools.
Developing is a time consuming process, that requires coding, testing, bug fixing, recoding, testing, deployment. This process takes weeks, months and sometimes even years depending on how complex the software is. But what if you could reduce this process to hours and weeks, this is exactly what DevOps does.
DevOps looks at automating the entire process of testing and deployment to reduce the amount of work that a developer needs to do. This makes it not only easier to build more products, but it also makes it faster to work on the changes and putting the new updates into the pipeline.
AWS offers powerful cloud features which can help scale your application easily to millions of users. We bring together an unique course which will help you create your production and deployment environment on cloud and will teach you implement the best of cloud computing practices.
This is why companies are looking to hire DevOps and AWS architects that can help them build this process and design better apps and software, faster and in a more sophisticated manner. However, learning DevOps and AWS isn't easy. It requires an understanding of basic DevOps concepts and AWS tools, along with programming languages.
This is why we have designed this course! This DevOps on AWS tutorial helps breakdown simple DevOps and AWS concepts and builds upon to them to help you learn exactly how to code using DevOps and AWS, as well as test and deploy your apps on the cloud platform.
The course will cover topics such as what is DevOps, why it is trending and how it came into existence, as well as introduction to cloud computing and how to benefit from the AWS cloud platform. It also includes building a very basic web application on the cloud, utilizing tools like Ansible and Jenkins and also learning how to use AWS tools such as CloudFormation, CodeDeploy and CodePipeline. Lastly, you will also learn how to actually deploy apps on AWS instances automatically and also achieve continuous integration using DevOps and AWS tools.
At the end of this course, not only will you have mastered the concepts required to understand DevOps and AWS, but you will also learn exactly how to get started working with these tools and even how to actually build an app and deploy it on the cloud.
Enroll now and become a DevOps and AWS master with this course!
It's packed with practical knowledge on how to use AWS inside and out as a DevOps
It teaches you how to prepare for the AWS Certified DevOps Engineer Professional exam AND how to prepare for the real world
It's a logical progression of topics, not a laundry list of random services
It's fast-paced and to the point
Who this course is for
The training includes the following:- Introduction to the course , AWS Overview , AWS Storage(S3,Glacier) and Content Delivery Network(Cloudfront) , Elastic Compute Cloud(EC2) , Route 53(DNS Service of AWS) , Database on AWS, Virtual Private Cloud(VPC), Application Services(SQS,SWF,SNS) , Real world scenario - Creating a high available website and Exam tips. Amazon Web Services (AWS) is a comprehensive cloud computing platform provided by Amazon .Web services are also referred to as cloud services or remote computing services. This training is for to get complete hands-on training covering the exam essentials.
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/aws-with-devops-with-real-client-project-live-demo/
[Only registered and activated users can see links. Click Here To Register...]
Code:
https://nitro.download/view/710505B11972712/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part01.rar
https://nitro.download/view/6F92F493E9FE540/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part02.rar
https://nitro.download/view/BC0FB22C3FA349E/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part03.rar
https://nitro.download/view/34EC5F59BE32FE8/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part04.rar
https://nitro.download/view/7B3474005BB4F33/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part05.rar
https://nitro.download/view/EF23ADEC575F0AE/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part06.rar
https://nitro.download/view/3C28866B805AED8/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part07.rar
https://nitro.download/view/3DA2211749A2DDD/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part08.rar
https://nitro.download/view/F6EC110834A0C29/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part09.rar
https://nitro.download/view/60BF081C5A3C790/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part10.rar
Code:
https://rapidgator.net/file/fca8c52c07b5a1b2b3dee4af58edca0e/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part01.rar.html
https://rapidgator.net/file/eb5ccce375e156c3ae38ad027953c444/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part02.rar.html
https://rapidgator.net/file/a2ff355c735e494dd794d79fdb6706ef/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part03.rar.html
https://rapidgator.net/file/16accdba01e387f6f27eb617286a9bd6/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part04.rar.html
https://rapidgator.net/file/51aebcc859a0779d5708d23cdb34b254/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part05.rar.html
https://rapidgator.net/file/0f65f42f1aa5a2c78a984a61a4b612e0/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part06.rar.html
https://rapidgator.net/file/8ccc036a2e0d0102d40742cdde935a71/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part07.rar.html
https://rapidgator.net/file/87e95b36011576302dc2e37b8cfb855a/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part08.rar.html
https://rapidgator.net/file/1931f07c2d0e53ca00cf61b102ada622/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part09.rar.html
https://rapidgator.net/file/a455a3a541ab7e562f06cbcfb27928eb/AWS_with_DevOps_with_Real_Client_Project_Live_Demo.part10.rar.html
Android App Development Bootcamp with Kotlin - Masterclass (Updated 8/2021)
[Only registered and activated users can see links. Click Here To Register...]
Android App Development Bootcamp with Kotlin - Masterclass (Updated 8/2021)
Created by TechBinz Academy | Last updated 8/2021
Duration: 25h 56m | 19 sections | 86 lectures | Video: 1280x720, 44 KHz | 10.4 GB
Genre: eLearning | Language: English + Sub
Learn Android 11 App Development From Beginner to Advanced Developer. Master Android Studio and build your first app now
What you'll learn
You'll have EXPERT LEVEL knowledge of the Kotlin programming language and know exactly how each process of Android 11 development works.
NEW CONTENT is always being added, and you're covered with full lifetime access to the course.
Become a professional app developer, take freelance gigs and work from anywhere in the world
Make pretty much any Android app you like (your only limit is your imagination)
Bored with the same old, same old? Apply for a new job in a software company as an Android developer
The EXPERTISE to be an Android App developer as taught by the best.
Best course to learn Kotlin
Android Lifecycle
Android Studio
Android User Interface Development
Object Oriented Programming with Kotlin
Object Oriented Programming with Kotlin
The Android App Lifecycle
If you want to learn Android and earn Money then this course is for YOU !
Object Oriented Programming Training
Android Jetpack Architecture
Live Data, View Model and other android concepts
Best Motion Layout Training
Android KeyCycle
Learn android work as Freelancer or in Company be successfull developer !
and other awesome topics that not even discussed in other courses --->
Show more
Show less
Requirements
Just the computer that runs Android Studio (4GB RAM) and (10 GB HDD or SSD) is OK !
Description
*Printable online certificate available upon completion of course*
Google considers Kotlin an official (first-class) android Developing Language
Android has ruled the app market for the past decade, and developers are increasingly looking to start building their own Android apps. How to Build Android Apps with Kotlin starts with the building blocks of Android development, teaching you how to use Android Studio, the integrated development environment (IDE) for Android, with the programming language Kotlin for app development.
Then, you'll learn how to create apps and run them on virtual devices through guided exercises. You'll cover the fundamentals of Android development, from structuring an app to building out the UI with Activities and Fragments and various navigation patterns. Progressing through the chapters and lectures, you'll delve into Android's RecyclerView to make the most of displaying lists of data and become comfortable with fetching data from a web service and handling images. You'll then learn about mapping, location services, and the permissions model before working with notifications and how to persist data. Moving on, you'll get to grips with testing, covering the full spectrum of the test pyramid. You'll also learn how AAC (Android Architecture Components) are used to cleanly structure your code and explore various architecture patterns and the benefits of dependency injection. The core libraries of RxJava and Coroutines are covered for asynchronous programming. The focus then returns to the UI, demonstrating how to add motion and transitions when users interact with your apps.
By the end of this course, you'll have the skills and confidence needed to build fully-fledged Android apps using Kotlin.
Are you trying to start a career in Android programming, but haven't found the right way in? Do you have a great idea for an app, but don't know how to make it a reality? Or maybe you're just frustrated that to learn Android, you must already know Kotlin. If so, then this course is for you
When Android first arrived in 2008, it was a bit drab compared to the much more stylish iOS on the Apple iPhone/iPad. But, quite quickly, through a variety of handset offers that struck a chord with practical, price-conscious consumers, as well as those who are fashion-conscious and tech-savvy, Android user numbers exploded. For many, myself included, developing for Android is the most rewarding pastime and business, bar none. Quickly putting together a prototype of an idea, refining it, and then deciding to run with it and wire it up into a fully-fledged app, is such an exciting and rewarding process. Any programming can be fun - I have been programming all my life - but creating for Android is somehow extraordinarily rewarding..
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Kotlin is the most succinct language, and therefore is the least error-prone, which is great for beginners. Kotlin is also the most fun language, mainly because the succinctness means you can get results faster and with less code. Google considers Kotlin an official (first-class) Android language. There are some other advantages to Kotlin that make it less error-prone and less likely to make mistakes that cause crashes. We will discover the details of these advantages as we proceed.
Kotlin is an object-oriented language. This means that it uses the concept of reusable programming objects. If this sounds like technical jargon, another analogy will help. Kotlin enables us and others (like the Android API development team) to write code that can be structured based on real-world things, and here is the important part - it can be reused.
Who this course is for:Beginner Kotlin DevelopersBeginner Android Developers who wants to learn Android Application DevelopmentIf you want to learn Android and earn Money then this course is for YOU !Learn android work as Freelancer or in Company be successfull developer !
[Only registered and activated users can see links. Click Here To Register...]
Code:
https://nitro.download/view/DF445DC0D40B989/AndroidAppDevelopmentBootcampwithKo.part01.rar
https://nitro.download/view/4901F299E1B2E46/AndroidAppDevelopmentBootcampwithKo.part02.rar
https://nitro.download/view/85A86C05956F3A6/AndroidAppDevelopmentBootcampwithKo.part03.rar
https://nitro.download/view/1DFA801CDAF3008/AndroidAppDevelopmentBootcampwithKo.part04.rar
https://nitro.download/view/D5062242C1BB670/AndroidAppDevelopmentBootcampwithKo.part05.rar
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https://nitro.download/view/ECBEE2D686B51FD/AndroidAppDevelopmentBootcampwithKo.part10.rar
https://nitro.download/view/485C07E44F6293D/AndroidAppDevelopmentBootcampwithKo.part11.rar
Code:
https://rapidgator.net/file/b6c35a299aa7bd8519fbf9d7ca2feb07/AndroidAppDevelopmentBootcampwithKo.part01.rar.html
https://rapidgator.net/file/4742e93e40a70896552f3a2e5c19e683/AndroidAppDevelopmentBootcampwithKo.part02.rar.html
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https://rapidgator.net/file/4475cd4ed214ae20424e484b45e92260/AndroidAppDevelopmentBootcampwithKo.part10.rar.html
https://rapidgator.net/file/521641bea913ff1eb2298bc13b3a5dd4/AndroidAppDevelopmentBootcampwithKo.part11.rar.html
30 Day English Idiom & Phrasal Verb Challenge
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30 Day English Idiom & Phrasal Verb Challenge
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 33 lectures (4h 39m) | Size: 5.9 GB
Learn to use English like a native!
What you'll learn:
English Language
English Idioms
English Phrasal Verbs
Casual English
Requirements
This course is for intermediate to advanced students (B1 to C2)
Description
Learn over 180 idioms and phrasal verbs in just 30 days with this challenging yet enjoyable English language challenge.
Welcome to the 30 day English idiom and phrasal verb challenge. My name is Rhyes and I am a TEFL qualified professional English teacher with thousands of hours experience as an international exam and conversation specialist. I have a passion for helping people learn real English. The English we use every single day with our friends, family and colleagues. This is exactly why idioms and phrasal verbs are so important. You can not cheat when learning a language, however with the phrases in this course you'll find your English conversations will start to flow more naturally as you explore new sides to English language and culture.
Note: This course is aimed towards intermediate (B2) to advanced (C2) students and can also function as native speed/level listening practice.
The course requires around 30 minutes per day for 30 days. I am always available and quick to respond to any questions you have and/or to help clarify/simplify a specific phrasal verb or idiom.
If you're ready sign up and begin your journey of becoming a more natural sounding English speaker go ahead and join!
Good luck and all the best, Rhyes.
Who this course is for
Intermediate or advanced English learners who want to take their language skills to the next level
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/30-day-english-idiom-phrasal-verb-challenge/
[Only registered and activated users can see links. Click Here To Register...]
Code:
https://nitro.download/view/7A3DAAF95FB9269/30_Day_English_Idiom_%26_Phrasal_Verb_Challenge.part1.rar
https://nitro.download/view/2F7C978318D50EE/30_Day_English_Idiom_%26_Phrasal_Verb_Challenge.part2.rar
https://nitro.download/view/FE4AA3A5CDFA0B3/30_Day_English_Idiom_%26_Phrasal_Verb_Challenge.part3.rar
https://nitro.download/view/5E559F446CD7B91/30_Day_English_Idiom_%26_Phrasal_Verb_Challenge.part4.rar
https://nitro.download/view/4AF604C1B3299EC/30_Day_English_Idiom_%26_Phrasal_Verb_Challenge.part5.rar
https://nitro.download/view/48DE21476CBDAC8/30_Day_English_Idiom_%26_Phrasal_Verb_Challenge.part6.rar
Code:
https://rapidgator.net/file/5b4a717767a6cee95d6a5cc8261af4ec/30_Day_English_Idiom_&_Phrasal_Verb_Challenge.part1.rar.html
https://rapidgator.net/file/c60197a4d113421ef64e13c37ffc6808/30_Day_English_Idiom_&_Phrasal_Verb_Challenge.part2.rar.html
https://rapidgator.net/file/3ae3e2ffde78535cb6b1c33b398d7a8c/30_Day_English_Idiom_&_Phrasal_Verb_Challenge.part3.rar.html
https://rapidgator.net/file/e5b06e20148883270dd0205ec68e974a/30_Day_English_Idiom_&_Phrasal_Verb_Challenge.part4.rar.html
https://rapidgator.net/file/095a662f84dc7b6437b2c7774b36aade/30_Day_English_Idiom_&_Phrasal_Verb_Challenge.part5.rar.html
https://rapidgator.net/file/569eba380605f520f2bf64ffac604be3/30_Day_English_Idiom_&_Phrasal_Verb_Challenge.part6.rar.html
Python Programming 2021 Full Coverage: A Practical Approach
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Python Programming 2021 Full Coverage: A Practical Approach
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 11.3 GB | Duration: 11h 31m
Theory, Lab programs, and Tutorials on Job Interview Questions and Solutions of problems from University Exam papers
What you'll learn
Python Programming
Programming Paradigms
Develop a program for a given problem
Python Syntax and important Libraries
Python Image Library(PIL)
Data Visualization with Matplotlib
Play Music using Python library
Pandas Library
Math Library functions
Python NumPy library
Solutions for Python problems from University exam questions
Discussion on Job Interview questions on Python and related topics
Description
In this course, we teach Python Language using a practical approach. For every concept and syntax, elaborate details are given with a practical example. For every topic, we introduce the required. level of theory, explain the syntax, and illustrate using several example programs. The Tutorial Videos give coaching on Job Interview questions and solutions for problems from university examination papers. The following topics first with a sufficient number of practical examples:
1. Introduction and basics of to Python
2. Assignment Statements
3. Input Statement and Output Statements
4. Math Library functions
5. Datetime Library - date, time, datetime, timedelta
6. Control structures such as IF statement
7. Loop Structures such as For Loop and While Loop
8. List, Tuple, and Set
9. String Manipulation
10. User-Defined Functions
11. Data Files - File Manipulation
12. Drawing with Python Image Library (PIL)
13. Data Visualization using Matplotlib
14. Database Management using Python Pandas Data Frames
15. Playing Music with Python programs
We introduce some important Python Libraries such as Math, Pandas, Matplotlib, NumPy, and PIL.
Examples are chosen for each of the concepts so that the student understands the concept easily. In Math Library, we introduce all the important Functions such as Math constants, number functions, trigonometric functions, logarithmic functions, distance, permutation combination, and LCM / GCD. In introducing Pandas Dataframe, we have used a simple database and explained all the data frame methods and commands. By introducing PIL, we have illustrated the library capabilities such as load and display a picture, Image processing operations such as Sharp, Blur, and embodying. We have written programs for drawing rectangles and other shapes on a picture. We have used PIL.ImageFont library to write text on the image.
In Matplotlib, we have introduced Python programs for drawing line graphs, bar charts, scatter diagrams, horizontal bars, and pie chart.
We have added Tutorial videos for discussing the solutions for problems asked in university examinations globally.
Who this course is for:
Programmers
Students of Computer Science and Engineering, Mathematics, Physics, Statistics, Other Engineering
IT Professionals, College and High School Students
Software Developers
Bright Children who aspire to become Software professionals
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/python-programming-2021-full-coverage-a-practical-approach/
[Only registered and activated users can see links. Click Here To Register...]
Code:
https://nitro.download/view/2823B7142B3F072/Python_Programming_2021_Full_Coverage_A_Practical_Approach.part01.rar
https://nitro.download/view/6EC435145DF8EFF/Python_Programming_2021_Full_Coverage_A_Practical_Approach.part02.rar
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https://nitro.download/view/BFA2B8A28164D62/Python_Programming_2021_Full_Coverage_A_Practical_Approach.part12.rar
Code:
https://rapidgator.net/file/2c474318501927493a81d3689817c685/Python_Programming_2021_Full_Coverage_A_Practical_Approach.part01.rar.html
https://rapidgator.net/file/bebb15ee77f8e3369e7073c861c89ebb/Python_Programming_2021_Full_Coverage_A_Practical_Approach.part02.rar.html
https://rapidgator.net/file/02048d48a633102894fefea0b25e6373/Python_Programming_2021_Full_Coverage_A_Practical_Approach.part03.rar.html
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https://rapidgator.net/file/10ea721858e6e68358795aa433450d49/Python_Programming_2021_Full_Coverage_A_Practical_Approach.part12.rar.html
