All mitsumi'1s Applications !! (updated daily)

[mitsumi1]

Arduino Email Sending Motion Detector
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 536 MB
Genre: eLearning Video | Duration: 11 lectures (59 mins) | Language: English
Send Emails using Arduino and Python easily and effectively and unleash the power of Python coding and Arduino Hardware

What you'll learn

Design Arduino Circuits
Program Arduino using Python Language
Connect Python with Arduino
Learn serial communication basics in Python
Learn serial communication basics in Arduino
Fully Control Arduino using Python
Set up electronic circuits
Set up the Communication protocol on Arduino
Write basic applications for Arduino in Python to control basics functions
Advanced Control of analog and digital inputs and outputs
Set up electronic circuits
Set up the Communication protocol on Arduino
Write basic applications for Arduino in Python to control basics functions
Advanced Control sensors and email automation using Python coding
How to Integrate Arduino sensors and switches

Requirements

Basic Knowledge of Digital Electronics

Description

>>> Arduino Email Sending Motion Detector: Send Emails using Arduino and Python easily and effectively and unleash the power of Python coding and Arduino Hardware

Welcome to this course.

The course lesson will explain "Arduino Email Sending Motion Detector" by using Python Language and PythonEnvironment. This course will work best for you if your basic knowledge of Electronics and Arduino. You will learn how to interface the Arduino with your Computer and Control it using Python to read sensor data and send emails accordingly.

Arduino can be used in your Engineering projects, Industrial Projects, or Home Automation related projects.

Arduino is one of the cost-effective tools which you can create or purchase & starts programming to interact with physical elements with your logic & create results the way you want.

And using Python, you can fully control the Arduino Board and the various process parameters like Motor Speed, LED ON/OFF Feedback, Temperature Signal.

In this course, you will learn how to use an Arduino to send an e-mail whenever there is movement detected with any motion detector sensors.

You learn how to use the PIR movement detector with an Arduino and to have the Arduino communicate with a python program running on your computer to send an email whenever a movement is detected by the sensor.

The Arduino is the heart of this project. It listens to the sensor and when motion is detected it instructs the python script to send an email.

What you will learn in this course

Request hardware and Software to get this project done.

Connect our circuit. It's a very simple circuit that includes an Arduino board a motion detector and some other components.

Coding our Arduino board so that it can detect motion using that motion detector

Send signals to your P.C. or laptop.

We will get the automation using Python.

You will get introduced to Pyserial and you will learn how to install Python and Pyserial on your computer.

Write your Python code and we will explain all of the coding done in this course in a step by step manner.

So you learn while having fun Applying this project then we will talk about other things you can do with the knowledge that you have gained from this course.

I'm sure that you will enjoy this course material and it will be very helpful if you are looking for a motion detector and detection for security purposes or if you are looking just for automation using Arduino and python.

At the end of this course, you can create Innovative Projects. The only thing that you need to do is THINKING, WIRING & CODING.

Who this course is for:

Engineering Students - Electronics, Electrical & Computer Science
High School Science Students
Electronic Geeks, Hobbiest & Art Students
Arduino Geeks

Download link:

rapidgator_net:
https://rapidgator.net/file/708639782a33c6ba0df5045626c2be09/ns57h.Arduino.Email.Sending.Motion.Detector.rar.html

nitroflare_com:
https://nitroflare.com/view/51A9564905B972D/ns57h.Arduino.Email.Sending.Motion.Detector.rar

alfafile_net:
http://alfafile.net/file/8xwVA/ns57h.Arduino.Email.Sending.Motion.Detector.rar

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[mitsumi1]

Arduino Social Distance Detector to fight COVID-19
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 719 MB
Genre: eLearning Video | Duration: 13 lectures (1 hour, 4 mins) | Language: English
This course will take you in a step by step guide on how to make your own Arduino Social Distance Detector

What you'll learn

Learn how to turn Arduino into a Social Distance reminder
Maintain recommended social distance that you can adjust.
Buzz an alarm when you are less than 6 feet away from any humans. A bright LED glows when the alarm beeps.
Know and use Arduino
Build your own Arduino Social Distance Detector
Know the working principle of Distance Sensor and how to use it
Code Arduino in C and Java Coding
Interface distance sensor with Arduino and Program it easily

Requirements

Basic experience in Electronics
A Will to apply, not just watch
Be familiar with the Arduino Uno
Be familiar with the breadboard and wiring.

Description

>>> This course will take you in a step by step guide on how to make your own Arduino Social Distance Detector.

Social distancing is the new way of life globally. make your social distance detector at home and maintain social distancing while you are out in around people, a simple cost-effective device with a step by step explanation on how to make it.

This device will turn on a sound alarm when you are less than 6 feet away from people around you. A bright LED glows when the alarm beeps, and you can add a buzzer to make sure that people will hear the alarm sound when they are close to you and this will remind them to keep a distance.

This Could be A lifesaver device if you used it wisely.

Welcome to this course.

You will get to know how to wire each of these elements, how it works, and why we are using it inside this Project, in no time you will find yourself making your own Arduino Social Distance Detector that detects different objects (People around you) and the distance between you and each object.

An Arduino Social Distance Detector is a device that collects data related to objects (People) in the surrounding environment using distance sensors that covers a wide area.

The aim is to make a portable Social Distance Detector that helps protect lives

Features it should have

Distance

Detect different objects

You will wire sensors and other electronic components to Arduino UNO board and start testing the code yourself, every piece of code is well explained so that you can easily know what each segment does.

A lot of information is waiting for you inside this course, join now and start making your own.

Who this course is for:

Electronics Geeks
Arduino Geeks
Anyone interested in making amazing electronics Projects
Anyone interested in making amazing Microcontroller Projects

Download link:

rapidgator_net:
https://rapidgator.net/file/96ebb1baca8c1182885de0865721924b/ij7ka.Arduino.Social.Distance.Detector.to.fight.COVID19.rar.html

nitroflare_com:
https://nitroflare.com/view/2E129552E2743EC/ij7ka.Arduino.Social.Distance.Detector.to.fight.COVID19.rar

alfafile_net:
http://alfafile.net/file/8xwVQ/ij7ka.Arduino.Social.Distance.Detector.to.fight.COVID19.rar

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[mitsumi1]

Asynchronous Programming in Javascript - Complete course
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.33 GB
Genre: eLearning Video | Duration: 22 lectures (3 hour, 19 mins) | Language: English
Learn asynchronous Programming - Event loops, callbacks, promises, error handling, Asnc Await with real world projects

What you'll learn

By the end of this course, you'll have a thorough understanding of how Asynchronous programming works in Javascript.
You'll learn the ins and outs of one of the major topics that can make you stand out from the crowd
You'll know how to apply those concepts in your projects and create real world code that works as it should
You'll learn all about event loops and how Javascript works behind the screen and how it executes Asynchronous code
You'll learn about callbacks and how you've probably been using them in your daily programming already
You'll learn about the pros and cons of callbacks, callback hell and why we need a replacement
You'll learn about promises, an ES6 update, and how they replaced callbacks
You'll learn about handling errors in promises
You'll learn about making promises prettier with async await
You'll learn about handling errors in async await
You'll learn how to apply what you learn in 3 real world mini projects
You'll learn one of the most complex topics of programming with easy to understand examples and hands-on explanations

Requirements

Basics of Javascript

Description

Would you like to take your Javascript knowledge to the next level? Would you like to become a master Javascript programmer by mastering one of the most complex, but very important aspects of web development? Asynchronous programming is real world programming, and if you master it, you'll certainly stand out from your competitors!

Javascript wasn't designed to be an Asynchronous language, but with just the right tweaks, you can make it Asnychronous.

In the real world, everything doesn't happen one after the other. You might be stuck with a data fetch that takes a couple seconds to execute. You can't make the rest of your code wait for it to finish executing though. Asynchronous code helps you manage everything seamlessly while making sure that the data you're waiting for (in our example) is used in your code ONLY after it has been completely fetched. Sounds like magic, doesn't it?

But it also sounds too complicated.

Don't worry.

You'll learn every single concept of Asynchronous Javascript with easy to understand over-the-shoulder examples and detailed, but interesting explanations.

You'll learn all about event loops and how Javascript works behind the screen and how it executes Asynchronous code, about callbacks and their drawbacks, how promises replaced them and how Async Await made promises prettier. You'll apply all of these in 3 real world mini-projects as well.

So, if you'd like to delve deep into the exciting world of Asynchronous programming, especially with Javascript as your language of choice, this course is perfect for you.

What will you learn in this course?

1. By the end of this course, you'll have a thorough understanding of how Asynchronous programming works in Javascript.

2. You'll learn the ins and outs of one of the major topics that can land you a job or a promotion

3. You'll know how to apply those concepts in your projects and create clean code that runs faster than your peers.

4. You'll learn all about event loops and how Javascript works behind the screen and how it executes Asynchronous code

5. You'll learn about callbacks and how you've probably been using them in your daily programming already

6. You'll learn about the pros and cons of callbacks, callback hell and why we need a replacement

7. You'll learn about promises, an ES6 update, and how they replaced callbacks

8. You'll learn about handling errors in promises

9. You'll learn about making promises prettier with Async Await, an ES7 update

10. You'll learn about handling errors in async await

11. You'll learn how to apply what you learn in 3 real world mini projects

12. You'll learn one of the most complex topics of programming with easy to understand examples and hands-on explanations

Who is this course for?

1. Javascript developers who want to take their knowledge to the next level

2. Web developers who'd like to pad their resume and get that promotion they've always wanted.

3. Web developers who'd like to add "Asynchronous programming" to their resume and stand out in your job interviews.

4. Programmers who already know Asynchronous programming but would like to learn how to implement it in Javascript.

5. Fledgling developers who'd like to learn how real world programming works

6. Front end developers who are working with frameworks like Angular, React, Vue or Svelte and would like to apply Asynchronous programming concepts in their projects.

How is this course designed:

Module 1 : Introduction - In this module, we'll look at the difference between synchronous and Asynchronous programming, how Asynchronous programming works, how Javascript works in the background, what event loops are, how call stacks execute your Javascript code, what Web APIs are and so much more!

Module 2 : Callback functions - In this module, let's delve deeper into Asynchronous Javascript by looking at using callback functions to make your Async codes work seamlessly, but let's also delve deeper into the pros and cons of callbacks and why we need a replacement for it. We'll end the module with a mini-project that demonstrates a real world usage of callbacks and asynchronous code.

Module 3 : Promises - In this module, let's take a detailed look at the ES6 update Promises, why they were needed and how they pretty much replaced calbacks. Let's also look at how we can get their resolutions and errors and display them, creating promise chains, promisification and error handling in promises. We'll end this module by creating the same mini project, but this time with promises and comparing them to callbacks.

Module 4: Async Await - In this module, we'll look at Async Await, an ES7 update, and how they've made promises look pretty. We'll also look at resolving multiple promises at the same time using Async Await and error handling. We'll end this module with a mini project as well.

Each of these modules will create full-fledged lessons that teach a particular Asynchronous JavaScript concept in detail with a lot of real-world over-the-shoulder examples, so you'll have a lot of fun while learning!

So, what are you waiting for? Get in and get started on your journey to becoming an Asynchronous web developer today!

Who this course is for:

Javascript developers who want to take their knowledge to the next level
Web developers who'd like to pad their resume and get that promotion they've always wanted.
Web developers who'd like to add "Asynchronous programming" to their resume and stand out in your job interviews.
Programmers who already know Asynchronous programming but would like to learn how to implement it in Javascript.
Fledgling developers who'd like to learn how real world programming works
Front end developers who are working with frameworks like Angular, React, Vue or Svelte and would like to apply Asynchronous programming concepts in their projects.

Download link:

rapidgator_net:
https://rapidgator.net/file/0e2c52bb7e11cc41432a1dcc1e0c7f88/2ao6q.Asynchronous.Programming.in.Javascript..Complete.course.rar.html

nitroflare_com:
https://nitroflare.com/view/DDB165E37D597BD/2ao6q.Asynchronous.Programming.in.Javascript..Complete.course.rar

alfafile_net:
http://alfafile.net/file/8xw9i/2ao6q.Asynchronous.Programming.in.Javascript..Complete.course.rar

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[mitsumi1]

A to Z Design of Solar Water Heating System
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.09 GB
Genre: eLearning Video | Duration: 25 lectures (2 hour, 17 mins) | Language: English

Get A to Z Knowledge of Solar Water Heating System from Basics to Advanced with Prof. Kiran Beldar

What you'll learn

Introduction to solar water heating System
Solar Fraction and Solar system efficiency
Tilt of Solar Collectors
Passive Heating System
Active Heating System
Components for Collector
Types of solar thermal energy collectors
Unglazed flat plate Solar Collectors
Glazed flat plate
Evacuated Tube Collector
Concentrating Solar Collectors
Piping Arrangement and Balance Flow Arrangement
Balancing fluid flow in collector field
Piping Arrangement for FPC and ETC
Two Pipe Network
Four Pipe Network
Components of Solar Water Heating System
Storage Tank
Heat Exchanger
Water Circulating Pump
Expansion tank
Supplemental Accessories
Calculation of Daily Water Heating Energy Load
Collector Area and Solar Fraction
Calculation of Annual Energy Saving, Annual Cost Saving and Payback Period

Requirements

Note Book
Pen

Description

Welcome to your course "A to Z Design of Solar Water Heating System" this course is designed for the students who wants to endeavour their knowledge in Solar Water Heating System designing for their projects, for the solar technician who wants to know Thermal Energy generation from the solar thermal Collectors and use the energy for Heating the water for various application, for the job seekers who wants to get jobs in solar industry and solar Thermal industry, for the entrepreneur who wants to make career in solar energy and in Solar Water Heating Sector.

This course explains the very basic concept belongs to design and Installation of Solar Water Heating System. The one who is completing the course will able to understand Basic concept of solar heating System and able to do all manual design calculations, which are required for designing any Solar Water Heating System. The learner of course will get scientific idea of each an every components needed for solar Water Heating System.

Who this course is for:

Solar Technicians
Solar Installers
Solar Job Seeker
Mechanical Engineering Students
Electrical Engineering Students
Solar Business Person

Download link:

rapidgator_net:
https://rapidgator.net/file/4a3e464aebeba51358cd16b1603a7e06/gq0wq.A.to.Z.Design.of.Solar.Water.Heating.System.rar.html

nitroflare_com:
https://nitroflare.com/view/D4E992D19060AF3/gq0wq.A.to.Z.Design.of.Solar.Water.Heating.System.rar

alfafile_net:
http://alfafile.net/file/8xwQn/gq0wq.A.to.Z.Design.of.Solar.Water.Heating.System.rar

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[mitsumi1]

Bug Bounty for Beginners
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 344 MB
Genre: eLearning Video | Duration: 12 lectures (41 mins) | Language: English

This course is fully for beginners who want to start bug bounty

What you'll learn

How to start Bug Bounty as a beginner
Priority of Bugs
Hall of Fames
Rewards
How to Report bugs
This course helps you to Get Your First Bounty minimum of $100(Hardwork Needed)

Requirements

Basic Computer Knowledge
Internet Connection
Laptop/Computer
Curious to Learn

Description

Welcome to Bug Bounty For Beginners Course. This course covers web application attacks and how to earn bug bounties.This course is highly practical and is made on Live websites it's very helpful when you start your bug hunting journey.

No special skills are required as the course covers everything from the very basics.

You will start as a beginner with no hands-on experience on bug bounty hunting and Penetration testing.

Who this course is for:

Anyone else who wants to get Halloffames and Rewards from companies for reporting bugs.

Download link:

rapidgator_net:
https://rapidgator.net/file/03edf88a699821fbb45998c76f993023/z6982.Bug.Bounty.for.Beginners.rar.html

nitroflare_com:
https://nitroflare.com/view/E1621EED90404C8/z6982.Bug.Bounty.for.Beginners.rar

alfafile_net:
http://alfafile.net/file/8xwv6/z6982.Bug.Bounty.for.Beginners.rar

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[mitsumi1]

Build 8 Mini Projects in Python from Scratch
Duration: 38m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 252 MB
Genre: eLearning | Language: English
Improve your Resume/Portfolio

What you'll learn
Python
Building Projects in Python
Portfolio Projects
Python Packages
Python Libraries
8 Projects

Requirements
Basic understanding of Python

Description
In this course, you are going to build 8 mini-projects in Python using different modules and libraries of Python.

Projects you are going to build in this course:

Copy Paste Tool

Stack Overflow Search Tool

WikiPedia Search Tool

QR Code Generator

URL Extraction Tool

URL Shortener

Google Search Tool

Pocket Dictionary

The Packages that are covered in this course are :

Pyperclip

urllib

howdoi

wikipedia

google

pydictionary

pyqrcode

pyshortener

Who this course is for:
Beginner Python developers curious about building their Portfolio
Beginner Python developers curious about building projects

Download link:

rapidgator_net:
https://rapidgator.net/file/1ede76043a9c370ee27603017b366635/bd4q9.Build.8.Mini.Projects.in.Python.from.Scratch.rar.html

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[mitsumi1]

Coding Mistakes that Hackers Abuse
Duration: 6h16m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.8 GB
Genre: eLearning | Language: English
How to avoid writing insecure code

What you'll learn
The recurring security pitfalls that developers fall into
Manageable and practical root causes of many famous software weaknesses
Ability to map security bugs to specific coding patterns in your software
Reflexive security questions you should ask during coding
Familiarity with famous security bugs; XXE, Session Puzzling, Mass Assignment, XSS, Directory Traversal, IDOR and more
Secure and insecure ways of validating the input

Requirements
Intermediate knowledge of coding
Basic understanding of writing HTTP-based applications
No to little knowledge of security bugs

Description
This training is about writing secure software. We chose to deliver secure coding practices using a perspective where widespread coding security mistakes are classified into understandable chunks. We hope that this will make more sense and be more helpful to hardcore developers and analysts.

Security should be an intrinsic part of any software production methodology and its implementation. However, development is a complex process and it is extremely hard to keep a software secure as it ages. There are numerous security tools, methodologies and knowledge to produce a secure software. However, still vast number of applications include critical security bugs. Most of these bugs stem from bad coding patterns that we call software security anti-patterns or in simpler term, mistakes.

An anti-pattern is a common response to a recurring problem that is usually ineffective or worse carry risks. In simpler words, anti-patterns are commonly reinvented bad solutions to problems.

For example, one of the famous anti-patterns in software development is Spaghetti Code. In early phases of being a developer, we are usually not familiar with the importance of modularity or find little time to design first. So, we tend produce extremely complicated, hard to understand unstructured software. This way of coding produces Spaghetti Code but the end product application still may run and serve in production. However, it is extremely hard to adapt to new changes. Because since the code is not modular or structured, it is hard to add new features. Moreover, any change in the code effects other flows in an unpredictable manner. The maintenance is also crippled. Since the code's complicated form will make the life of new developers' difficult when they are adjusting.

Similarly, there are bad design or coding choices that repeatedly lead to security bugs. It is important to be aware of these software security anti-patterns in order not to fall prey to hackers. The course will contain eight different core mistakes. Some are more prevalent than the others, however, all of them produce deadly results. In each lesson, we will first try to explain what the specific anti-pattern is all about. Then, we will move on giving one or more demos on what can go wrong when that mistake is made. At the end of each lesson, we will look at different sound and widely acknowledged solutions against insecure design or coding choices.

Who this course is for:
Software developers
Software analysts

Download link:

rapidgator_net:
https://rapidgator.net/file/98aa49c0b184acd0ff368c11aeb9ae85/gp9ao.Coding.Mistakes.that.Hackers.Abuse.rar.html

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https://nitroflare.com/view/485B07BD85D15E7/gp9ao.Coding.Mistakes.that.Hackers.Abuse.rar

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[mitsumi1]

Complete Progressive Web App Bootcamp
Duration: 2h6m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.21 GB
Genre: eLearning | Language: English
Learn to build discoverable, engaging Progressive Webs Apps (PWAs) from scratch,

What you'll learn
What a Progressive Web App is
Use Service Workers to enable your application to work offline
Create a progressive web app that is installable to the home screen

Requirements
Basic HTML, CSS, and JavaScript
Have a mobile device or emulator

Description
What is Progessive Web App (PWA)?

PWAs are web applications created utilizing various explicit advances and standard examples to permit them to exploit both web and local application highlights. For instance, web applications are more discoverable than local applications; it's much simpler and quicker to visit a site than to introduce an application, and you can likewise share web applications by essentially sending a connection.

Then again, local applications are better incorporated with the working framework and along these lines offer a more consistent encounter for the clients. You can introduce a local application so it works disconnected, and clients love tapping their symbols to handily get to their most loved applications, instead of exploring to it utilizing a program.

PWAs enable us to make web applications that can appreciate these equivalent favorable circumstances.

It is anything but a shiny new idea-such thoughts have been returned to commonly on the web stage with different methodologies before. Reformist Enhancement and responsive plan as of now permit us to fabricate versatile neighborly sites.

What will you learn in this course?

In this course you'll begin dealing with your absolute first Progressive Web App (PWA) - a web application that can exploit a considerable lot of the highlights local applications have appreciated. You'll likewise get more involvement with making a web application that works disconnected utilizing Service Workers. At last, you'll make your application installable to the client's home screen with the Web App Manifest file.

Who this course is for:
Students who want to create a web app that works offline
Students who want to create a web app that can install
Students who want to create a web app that can operate on a mobile device just as if they were native applications

Download link:

rapidgator_net:
https://rapidgator.net/file/4e96f605560e644ecf9f0a02f9b8e77f/9ym5u.Complete.Progressive.Web.App.Bootcamp.Updated.102020.rar.html

nitroflare_com:
https://nitroflare.com/view/6330D8EBF2470F2/9ym5u.Complete.Progressive.Web.App.Bootcamp.Updated.102020.rar

alfafile_net:
http://alfafile.net/file/8xwxg/9ym5u.Complete.Progressive.Web.App.Bootcamp.Updated.102020.rar

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[mitsumi1]

Create A 3D Gumball from "The Amazing World of Gumball"
Duration: 1h 47m | .MP4 1920x1080, 30 fps(r) | AAC, 44100Hz, 2ch | 1.84 GB
Genre: eLearning | Language: English
In this course, we are going to model Gumball from The Amazing World of Gumball cartoon series.

At the end of this course, you will have a model that you can use for animation, portfolios or to put on your social media. What are we waiting for let's start modeling?

Download link:

rapidgator_net:
https://rapidgator.net/file/104eacc47c21b8b3d239036b80414dbc/r786q.Create.A.3D.Gumball.from.The.Amazing.World.of.Gumball.rar.html

nitroflare_com:
https://nitroflare.com/view/4EE1AAB2B82BD40/r786q.Create.A.3D.Gumball.from.The.Amazing.World.of.Gumball.rar

alfafile_net:
http://alfafile.net/file/8xwUK/r786q.Create.A.3D.Gumball.from.The.Amazing.World.of.Gumball.rar

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[mitsumi1]

Create a Game with Arduino and Processing
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 785 MB
Genre: eLearning Video | Duration: 18 lectures (1 hour, 39 mins) | Language: English
Creating a Game might be Complex! but in this course we'll make it Easy, Simple and Fun, Mix Arduino Hardware with Games

What you'll learn

Designing a Game from Scratch using Processing with a score system, objects that move and hardware interaction with components inside the game
Mixing Arduino Powerful hardware with Processing Powerful Software
Control your main Game Character using an Arduino hardware Sensor Reading
Add a scoring system and how to change your main character with different shapes
Designing your own game and mix it with your Arduino board
Create a link between a Game that you will design and code and an Arduino Hardware
Hardware and Software Requirements
Working Principle in brief
Ultrasonic Sensor Working Principle
Circuit Design and Connection
Arduino Coding
Processing Coding
Pictures and Scoring System

Requirements

Basic experience in Electronics
Basic experience in Programming
A Will to apply, not just watch

Description

In this course, we will teach you how you can easily create a link between a Game that you will design and code and an Arduino Hardware.

This is the new Arduino project-based course from the Educational Engineering Team.

We all have once in our lifetime played A Flappy bird Game or any other game, but what about designing your own game and mix it with your Arduino board, the board that you already know and most likely have to produce an interactive Game that combined hardware gameplay with software processing to learn while having fun playing!

If you follow the instruction explained in this course in the end you will get a chance to play this game using your Arduino board and you will have fun by practicing with the Arduino hardware to control a game on your PC.

We are using an ultrasonic sensor to control a plane or any item inside our game, you can control a plane, you can control a bird and make it jump inside your game, and this is just the beginning.

At the end of this course, we will also cover how to add a scoring system and how to change your main character with different shapes.

The goal of the game is simple, Use the Arduino hardware and the circuit design that we are going to provide to control your game without touching your keyboard or mouse.

I'm sure that you will have fun while learning in this course.

What you will learn in this course:

Hardware and software requirements.

What are the things that you need regarding the hardware and what are the software that we are going to use, how to download and install each of them?

Working principle of this course and brief.

Ultrasonic sensors working principle.

Design and connect our simple circuits and start the Arduino coding process.

Processing coding and in the end, we will cover pictures and scoring systems inside games and how you can easily implement them again.

You will get to learn Arduino and processing and practice hardware and action while having fun and playing games.

A lot of information is waiting for you inside this course, join now and start making your own.

Who this course is for:

Electronics Geeks
Arduino Geeks
Anyone interested in making amazing electronics Projects
Anyone interested in making amazing Microcontroller Projects

Download link:

rapidgator_net:
https://rapidgator.net/file/6ee19485c8ed9ffe8fcef5c8b951ab1e/1yey4.Create.a.Game.with.Arduino.and.Processing.rar.html

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[mitsumi1]

Create an Awesome Image Manipulation Script using Python
Duration: 2h10m | .MP4 1280x720, 30 fps(r) | AAC, 48000Hz, 2ch | 1.11 GB
Genre: eLearning | Language: English
Learn how to use Python Pillow to manipulate images

What you'll learn
How to manipulate images
How to create python script
How to create Python functions
How to call Python functions
How to install Python
How to install Python Pillow library
How to use Python Pillow library

Requirements
PC with Windows or Mac
Internet connection
Basic understanding of Python functions (Good to have)

Description
This courses will teach you how to manipulate images using Python programming language. Python was described as the language that is capable of doing anything and everything and manipulating images is no exception. The good news about this course is that you don't need advanced knowledge in Python nor in any programming language. All you need is just simple knowledge of how to create simple Python functions.

Being able of creating Python scripts on your own is so important if you want to take your Python skills to the next level. And this course gives you the opportunity to accomplish that by honing in on a Python library called Pillow. This library is super powerful and would let you manipulate images.

By the end of this course you will have built a script using Python programming language that is capable of manipulating images and adding several different effects to them

Why should you take this course?

There are many reasons why this course is extremely important. First and most prominently is that you will learn one of the most amazing Python library, that is, Pillow. As you know, Python is pretty much able to do anything even manipulating images! Secondly you will improve your python skills by creating a complete script that is capable of manipulating images and adding effect to them. Third you can highlight this particular skill in your CV which would potentially make you stand out from the crowd.

What you will learn in this course?

1. Create Python script.

2. Create functions.

3. Call functions

4. Install Pillow library.

5. How to use Pillow library.

6. How to create functions that manipulate images.

7. Apply filters to images.

8. Resize images.

9. Blend images.

10. Save newly created images.

11. Crop images.

12. Much much more...

Note: The project that will be created throughout this course will be provided so that you can download it and use it for commercial and non-commercial purposes.

Who this course is for:
Python developers (All levels)
Web developers
Computer programmers
Software developers

Download link:

rapidgator_net:
https://rapidgator.net/file/70f5a5b243681d72a2594e76fccead3d/mu6yi.Create.an.Awesome.Image.Manipulation.Script.using.Python.rar.html

nitroflare_com:
https://nitroflare.com/view/3EEB13B4B6C0712/mu6yi.Create.an.Awesome.Image.Manipulation.Script.using.Python.rar

alfafile_net:
http://alfafile.net/file/8xwVL/mu6yi.Create.an.Awesome.Image.Manipulation.Script.using.Python.rar

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[mitsumi1]

Creating an Instagram Puzzle Feed in Canva
Duration: 40m | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 415 MB
Genre: eLearning | Language: English
Stand out with a creative puzzle feed on Instagram! If you've wondered if there's an easy way to create a totally custom puzzle feed for your brand or personal account on Instagram, then this class is for you!

We will learn to use Canva - which you can use for free - to create a cool overlapping design in whatever style you choose, and then how to easily save and divide that design into separate images to post to Instagram!
I'll give you some design tips, and some tips and tricks for using Canva, as well as share my own example, and and even acouple of templatesthat you can start from if you want to play around with it, without starting from scratch.

Download link:

rapidgator_net:
https://rapidgator.net/file/e805b91b6d6e2e273f8674f2b2f321d9/2w8vu.Creating.an.Instagram.Puzzle.Feed.in.Canva.rar.html

nitroflare_com:
https://nitroflare.com/view/92034842A2B223D/2w8vu.Creating.an.Instagram.Puzzle.Feed.in.Canva.rar

alfafile_net:
http://alfafile.net/file/8xw9c/2w8vu.Creating.an.Instagram.Puzzle.Feed.in.Canva.rar

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[mitsumi1]

CSS Grid Complete Course - Simple and Ezy
Duration: 2h20m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 736 MB
Genre: eLearning | Language: English
Learn how to use CSS Grid to build a perfect website, placing containers anywhere. Plus extra bits for fine tuning.

What you'll learn
CSS Grid Code

Requirements
Basic knowledge of HTML and CSS
Description
This is a complete CSS Grid course covering all aspects in a concise and simple way. I will teach you how to setup CSS Grid rows, columns, grid areas, grid lines, and much much more. I tried to explain this both graphically as well as verbally. On completion you will be able to use CSS Grid on any web page and discover how easy it is to finally be able to place containers like divs or semantic elements anywhere, even nesting them inside each other or overlapping them. Included in this is tuition on how the content of the containers themselves affects the grid and what you can do to make sure your content is displayed properly. And all this -responsively- to suit anything from a desktop computer to a phone! There is also a video on using the developer tools in Google Chrome of Mozilla Firefox to visualize your grid.

Who this course is for:
Anyone who wants to create a website with CSS Grid

Download link:

rapidgator_net:
https://rapidgator.net/file/6e1751ee575a84e7815e7cf4af568f00/x9rjj.CSS.Grid.Complete.Course..Simple.and.Ezy.rar.html

nitroflare_com:
https://nitroflare.com/view/75E6132F5A941FD/x9rjj.CSS.Grid.Complete.Course..Simple.and.Ezy.rar

alfafile_net:
http://alfafile.net/file/8xwUC/x9rjj.CSS.Grid.Complete.Course..Simple.and.Ezy.rar

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[mitsumi1]

Data Science and Machine Learning with Python and Libraries
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.77 GB
Genre: eLearning Video | Duration: 54 lectures (5 hour, 30 mins) | Language: English
Learn Data Science and Machine Learning with Python and Libraries such as Numpy, MatDescriptionlib, Pandas and much more!

What you'll learn

Data Science with Python
Using Python Libraries for Data Science
Data Analysis
Python Libraries such as Numpy, MatDescriptionlib, Pandas
Visualizing Data
Linear Algebra
Statistics
Probability
Hypothesis and Inference
Gradient Descent
Machine Learning
k-Nearest Neighbors
Naive Bayes
Simple Linear Regression
Multiple Regression
Logistic Regression
And Much More!

Requirements

A little bit of Python understanding will be good (not necessary)

Description

WHAT IS DATA SCIENCE

As the world is progressing in science and technology, there is an enormous increase in the need for advanced tools to store information and mine data that is being produced indefinitely. And the key to this problem is data science. Data science is a field of study that develops scientific and systematic methods to record, process and analyze data to withdraw significant and useful information that can be both structured and unstructured. Unstructured data is the one that is generated by mobile devices and websites while structured data is an organized data which is mostly generated by the users e.g. emails, chats, telephone calls etc. Data science uses scientific methods and algorithms to extract knowledge. Industries require the use of this field immensely and the industrialists now realize the value of data science and the benefits it can provide to the business, thus, it has become very popular currently.

The need for data science

An immediate question that rises in the mind after hearing about data science is why is there a need to dig into depths for such a tool? So, it's important to understand that previously the data produced used to be structured and thus it was somehow easy to extract the meaningful information and process it. However, contemporarily the data that is being produced is mostly unstructured as there are multiple sources of its generation such as multimedia files, logs, documents etc. and data science provides aid in turning raw data into consequential one.

Human brains possess the intelligence to perceive things as they are i.e. processing the information that we see and store it. It is just a power that we humans have and because we are doing it constantly without any deliberate effort, it is trivial to us. However, parallel to this brilliant power that we hold, it is also to have a clear understanding of the fact that it is limited. Human brain is also prone to forgetting, and impeding memory, perceptions and predictions. Here, the computer's prowess proves to be helpful. With the advance improvement in technology, we are now able to leave our locations through our smartphones for example uber that makes our traveling so much convenient, our movements can be tracked easily, our online behaviors and patterns of search are constantly being recorded through our acceptance of cookies, the steps we take during a day can be tracked by the help of some specific apps, even our health can be tracked. All of this is possible due to the invention of technology, softwares and the ability to record and process information adequately. Our information is being stored and without us even noticing. This tracking ability is not only applicable on the people sitting at home, but government agencies, stock markets, civil officers, intelligence agencies, business owners are all the concerned parties and is useful for each one of the occupations. Data science is used in providing systematic methods to give useful insights from the enormous data that is being generated. Therefore, data science is indeed important.

Other than the general importance, data science is extremely beneficial to the business in numerous ways:

· It provides immense help in decision taking. As discusses, data science analyzes the data in a proper way to solve the problems arising in the business by providing healthy opportunities and unleashing ideas to remove the threats creating issues for the business. It foresees the trends that might surface in the future.

· Data science helps in the business to flourish by improving the product in every which way possible. By tracking the patterns of the consumer's purchase and knowing about the likes and dislikes, the managers will know what improvisations are required, what kind of product is outdated and what basically is the trend prevailing. Also, by tracing the online trends, the business will be better able to identify the wants of the consumers and produce accordingly to satisfy their needs in an ample manner.

· Similarly, the business will be able to be managed efficiently. Due to the help of data science, the owners will be able to understand the needs of the customers in better way and this will lead to increasing the number of customers. Satisfying the customers efficiently will result in business optimization.

· Data science owns the capability of predicting trends which proves to be a great benefit to the business. To be able to read the patterns and predict the future tendency of peoples' wants is going to be lucrative in every which way possible.

· Advertisement holds are huge part in the business being able to thrive and the product reaching its target audience. Data science helps in better marketing. Companies need good marketing strategies every day and they analyze their data to create impactful advertisements. Data science can make it easier by making smarter decisions for them and run a campaign for them for the specific purpose.

· Data science holds the future. Industries are becoming data driven and they need data scientists to process and analyze the data for them and make smarter decision by predicting information. Therefore, it holds the career for tomorrow.

· Reading resumes and appointing the right person for the job is a daily task in a company. This exhausting task can be done easily and efficiently through the amount of data available online. Social media and job search websites can be searched thoroughly by the data scientists and select the perfect candidate according to his talents and capabilities.

· Data science can also provide beneficial aid in identifying the right target audience. Data science can prove to be helpful in collecting customer data and gaining insights onto their liking and disliking. The company can learn more about their audience and gain in depth knowledge to target the right group of audience and increase profit margins.

Advantages and disadvantages

Data science is a highly prestigious and versatile career. It also holds great scope in personal growth. It is highly in demand and it holds the future. All the industries realize the importance of the field and all the benefits that it can reap for them and is held as an important position for the company, so it is a highly paid profession. The job is extremely interesting. There are no repetitive tasks to be performed and thus it is not boring at all. Data science is a field that aims in making data meaningful for the company by improving its quality. It makes computers smart enough to read the behaviors and patterns of the customers though their historical purchases and search history. This machine learning phenomenon helps the company in producing better products. However, the field has its disadvantages as well. Data science is a very vague term and it is not easily understandable. Mastering the degree of data science is nearly impossible. To hold proficiency in the field, you require large amount of domain knowledge. Data science helps in predicting future trends but sometimes the results do not yield to be the one as expected. It can happen due to numerous reasons like poor management or scarce resources.

Business intelligence vs Data Science

Data science is commonly mistaken with business intelligence. Business intelligence focuses on analyzing the previous data and run research on it to explain the business trends. It manages, arranges and produces information from the data to answer business problems. It is much simpler than data science. Data science uses complex tools and statistics and analyzes data based on past or current to forecast the future trends. it answers open ended questions as to how and what could happen in the future while BI focuses on the question that asks what happened only. BI has a limited scope as it focuses on past and present, data science focuses on present and future and has unlimited scope. BI contains data that is only structured, while data science contains both structured and unstructured data. BI helps companies in solving their problems while data scientists raise the problems and solve them too. Tools that are used in BI are MS excel, SAS BI, MicroStrategy. Tools used by data science are Hadoop, Qlikview, Python, TensorFlow.

Artificial intelligence vs Data science

Data science makes use of artificial intelligence but they are not entirely the same. Artificial intelligence is known as to counterfeit human intelligence into machines to make them capable of imitating humans and be able to solve problems and make decisions. Data science on the other hand is the process of analyzing, pre-processing and maintaining data for analytics and visualization to forecast future trends and patterns. Data science uses statistical techniques whereas artificial intelligence makes use of algorithms. Data science does not involve scientific processing as much as artificial intelligence. Data science uses data analytics technique while artificial intelligence uses machine learning.

Big data vs Data Science

These two terms are often heard together but they are quite distinguished from one another. Big data is focused on handling large data while Data science focuses on analyzing the data and predicting future outcomes. Big data includes the process of handling large volumes of data and generating insights while data science predicts the outcomes and analyzes the trends and makes rational and smart decisions accordingly. E-commerce, telecommunication and security service industries use big data. While data science plays a huge role in industries involving science, risk analytics, advertisements etc.

Data scientist

Being a data scientist holds great responsibility, proficiency and knowledge in the domain. A data scientist requires to be adept in statistics and mathematics to be able to analyze and process data properly. A data scientist is supposed to be good at machine learning. It is also important that the scientist has great understanding of the domain he is working in to be able to do he is work appropriately. He should be able to apply algorithms where requires and have good knowledge of coding skills. He should also have sufficient experience in working in the field. He should also be good at programming and CS fundamentals. A scientist should also have apt communication skills, as he will be directly in contact with the upper management and will have to communicate his results to them. Its important for a data scientist to understand his projects and fulfill them properly by asking the right questions, using the right resources and tools and then brief the entire process to the stakeholders appropriately to achieve accurate results.

Pay scale of a data scientist

According to glassdoor average salary of a data scientist is $113,309 per year. The pay varies from $83,000 as lowest to $154,000. As for the additional cash compensation, it ranges from $3,850 - $26,084, with an average of $11,258. However, the salary varies according to the industry as well. For example, Facebook pays its data scientist an average of $146,221 per year according to 115 salaries it pays and Microsoft data scientist makes an average of $129,435 per year as per the 79 salaries it gives.

Conclusion

Data science holds its pros and cons and it might take time for it to gain proficiency and momentum but it is without doubt an ever-evolving industry and holds the future. With the humungous outbreak of data, the need for data science will elevate and thus will provide more opportunities to make key businesses decisions. With this evolution, it is also important that data scientists stay motivated to perform their job sincerely and efficiently.

Who this course is for:

Students interested in Data Science
Students interested in Data Analysis
Students interested in Python

Download link:

rapidgator_net:
https://rapidgator.net/file/6b4cc8128566f895012aad93803ff460/8vbe6.Data.Science.and.Machine.Learning.with.Python.and.Libraries.rar.html

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[mitsumi1]

Delta Lake with Apache Spark using Scala
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 678 MB
Genre: eLearning Video | Duration: 50 lectures (1 hour, 56 mins) | Language: English

Delta Lake with Apache Spark using Scala on Databricks platform

What you'll learn

You will be able to learn Delta Lake with Apache Spark in few hours
Basics to Advance Level of Knowledge about Delta Lake
Hands on practice with Delta Lake
You will Learn Delta Lake with Apache Spark using Scala on DataBricks Platform
Learn how to leverage the power of Delta Lake with a Spark Environment!
Learn about the DataBricks Platform!

Requirements

Apache Spark and Scala and SQL basic knowledge is necessary for this course

Description

You will Learn Delta Lake with Apache Spark using Scala on DataBricks Platform

Learn the latest Big Data Technology - Spark! And learn to use it with one of the most popular programming languages, Scala!

One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems!

Spark can perform up to 100x faster than Hadoop MapReduce, which has caused an explosion in demand for this skill! Because the Spark 3.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market!

Delta Lake is an open-source storage layer that brings reliability to data lakes. Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. Delta Lake runs on top of your existing data lake and is fully compatible with Apache Spark APIs.

Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.

Topics Included in the Courses

Introduction to Delta Lake

Introduction to Data Lake

Key Features of Delta Lake

Introduction to Spark

Free Account creation in Databricks

Provisioning a Spark Cluster

Basics about notebooks

Dataframes

Create a table

Write a table

Read a table

Schema validation

Update table schema

Table Metadata

Delete from a table

Update a Table

Vacuum

History

Concurrency Control

Optimistic concurrency control

Migrate Workloads to Delta Lake

Optimize Performance with File Management

Auto Optimize

Optimize Performance with Caching

Delta and Apache Spark caching

Cache a subset of the data

Isolation Levels

Best Practices

Frequently Asked Question in Interview

About Databricks:

Databricks lets you start writing Spark code instantly so you can focus on your data problems.

Who this course is for:

Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist, Data Analyst, Analyst

Download link:

rapidgator_net:
https://rapidgator.net/file/487771c874e465f6e0883a3189a14e08/eifmi.Delta.Lake.with.Apache.Spark.using.Scala.rar.html

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