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

[mitsumi1]

Product Photography For Etsy
Duration: 45m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 457 MB
Genre: eLearning | Language: English

This class is a great introduction to product photography for Etsy.Learn everything you need to know about how to take photos that get shoppers to click and buy, including tips on lighting, shooting, editing, and more.

Unlike selling at craft fairs or events your customers can't touch or feel your products on Etsy, so how do you sell tactile, well-crafted items online? Many sources say that your shop photography is the most important part of successfully selling on Etsy and is often an ongoing learning process.
Why is photography so important for your shop? They say a picture is worth a thousand words and this is so true for Etsy. A great photograph is the first thing to catch a buyer's attention, and gives them an idea of how the finished product will look.
Creating a good first impression will make you look professional and trustworthy as well as showing your customer the details that you can't put into words.
What you'll learn
Basic principles of great product photos
Tips to help your photos more eye catching
What gear to use
How to set up 2 different types of scenes
Managing light
What editing software to use
How to touch up your photos and remove unwanted dust.

Download link:

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[mitsumi1]

Program Arduino Like A Professional with Registers
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 827 MB
Genre: eLearning Video | Duration: 25 lectures (2 hour, 4 mins) | Language: English
This course will take you in a step by step guide on how to Program Arduino Like A Professional with Registers

What you'll learn

Difference between Normal Arduino Programming and Register Level Programming
Level up Your Arduino Programming Skills with Register Level Programming
Arduino CPU in datasheet
What are Registers
Bit-wise operations for register level programming
Write this value to a certain special function register
Different types of memory
I/O ports overview section and dip package
I/O ports register description
Arduino Coding example
Rewrite the code using Registers
Arduino source code
Hex File Size difference
When you should use Registers

Requirements

An Internet Connection
Basic knowledge in Programming

Description

This course will teach you how to develop your Arduino coding using registers. It will help you Level Up Your Arduino Code with Registers

Welcome to this course.

In this course, you will learn registers, how to interact with them in Arduino, and how to control hardware using them.

In order to use more advanced features or optimize our code for space and speed, we need to understand how to work with registers directly in microcontrollers.

If you're looking to learn more about how your Arduino works, create more advanced projects using things like interrupts, or optimize your code for speed and size, then you'll need to work with registers.

Registers are nothing more than storage containers for data inside a processor or microcontroller. A large portion of registers are simply "general-purpose registers," which are just places that the program can use to store results from calculations. However, many microcontrollers have special function registers that have hardware connections and are usually used for setting up timers, toggling pin voltage, reading analog voltages, and so on.

Special function registers are really what control microcontrollers in the background. Knowing how to use them allows you to control hardware connected to the microcontroller. Arduino IDE and framework provide easy implementation so you don't need to worry about working with registers, which is a good thing and a bad thing at the same time!

On one hand, you don't have to dig through a datasheet and learn all the register names for that microcontroller. The abstraction is perfect if you want to make a project or prototype.

On the other hand, if you are making a product and need your code to be as small and fast as possible, ditching the Arduino framework is often the way to go. If you can reduce the size of your program so that it fits on a cheaper microcontroller, you might save a few cents for each unit produced. Additionally, if you make your program run more efficiently, that may mean less power used and extended battery time!

if you're making a product and you need your code to be as small and fast as possible, learning to deal directly with registers can be very helpful and will help you get rid of the extra code overhead that Arduino introduces.

However, if you're making a project or a prototype and you just need something to work that extra development effort can be quite a pain to learn new registers and register names for your architecture in that case the abstraction layer that Arduino introduces is a wonderful blessing being able to call digital right instead of having to figure out which bits to flip in which register is fantastic all that being said if we want to do more advanced things like setting up interrupts then learning how to deal directly with registers is the way to go we'll talk about that next time we look at leveling up your Arduino code see you then

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

Who this course is for:

Anyone Interested in Learning in Leveling Up their Arduino Programming Skills
Anyone Interested in Learning What the difference does it Make to Use Register Level Programming
Anyone Interested in Learning Programming Arduino Like A Professional with Registers
Anyone Interested in Learning New Things about Arduino
Hardware developers
Electronics Geeks
Anyone Interested in Learning

Download link:

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[mitsumi1]

Programming for Everybody: A Beginner Python Course
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 529 MB
Genre: eLearning Video | Duration: 24 lectures (55 mins) | Language: English

Learn Python Programming Language from Scratch with Hands-on Exercises

What you'll learn

The basics of programming computers using Python.
How one constructs a program from a series of simple instructions in Python.
How a program uses the computer's memory to store, retrieve and calculate information.
How computer software makes "choices".
How computer do repetitive tasks million times.

Requirements

Willingness to learn.
A computer - Windows, Mac, and Linux are all supported.
Basic Computer knowledge.

Description

This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.

Who this course is for:

People interested in programming who have no prior programming experience.
Newer Python programmers who need a refresher on Python.
Anyone else who is interested in learning Python.
Programming hobbyists.
Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.

Download link:

rapidgator_net:
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[mitsumi1]

Programming PLC Using Text Commands - Mnemonic Language
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 230 MB
Genre: eLearning Video | Duration: 16 lectures (57 mins) | Language: English
Stop using Lader diagram and SFC and start Programming PLC using short codes in no time without even a computer

What you'll learn

Program PLC using Text Commands - Short Codes
Create a PLC Control Program using Short Codes
Write codes instead of drawing long SFC or Ladder diagrams to create amazing projects
Program Any Microcontroller without drawing a single line

Requirements

Basic Knowledge in PLC
A Will to apply, not just watch

Description

>>> This Course will take you to a new level of PLC (Programmable Logic Controller) Programming, It will be a fun, easy, fast and enjoyable Programming Journey for you, at the end you will be able to Program PLC Using Text Commands

>>> Continues Updates

4.8 Star | More Than1500 STUDENTS!!! THANK YOU!!!

What students are saying:

Tomasz Gorzelak says. "It is run in a transparent and clear manner and gives a good base for learning from scratch"

Mohammed says, "I am very satisfied | je suis très satisfait"

Welcome to Programming PLC Using Text Commands course.

You will no longer hate programming PLCs.

As most of you know, drawing Ladder logic diagrams or an SFC is not an easy nor simple process, it requires a thorough understanding of Ladder Diagrams and other languages to give the ability to turn your idea into a project that is based on PLC

What if I tell you that now you can program your PLC and make a fully functional project without even a computer. YES, YOU CAN!

Mnemonic Language (Short Simple and Easy to remember codes) will help you unleash your full potential in PLC Programming without even using a computer!

That's not all. After coding, This program will give you the ability to view your code. As a result, it will be ready so that you can download it to your PLC.

You think this is cool but not yet interested. Well, how about the fact that this software allows you to trace the code line by line and debug the software while your machine operate!

This is a course that will help advance in your career and get more options in PLC Programming world.

How many people do you know Program PLC Using Text Commands!. Few I'm sure, now you get to be one step ahead of others in your industry

Who this course is for:

PLC - Programmable Logic Controller - Geeks
People Interested in Industrial Automation
Anyone interested in Programming Programmable Logic Controller

Download link:

rapidgator_net:
https://rapidgator.net/file/ec715afd7d9bf2b4a1d9903f47815e55/anbtn.Programming.PLC.Using.Text.Commands..Mnemonic.Language.rar.html

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[mitsumi1]

Python 3 for Absolute Beginners And Academic Students
Duration: 3h39m | .MP4 1280x720, 30 fps(r) | AAC, 48000Hz, 2ch | 1.13 GB
Genre: eLearning | Language: English
Python 3 for Absolute Beginners And Academic Students with Real Life Examples and Projects

What you'll learn
Students will learn how to code, not only for personal use, but also for academical uses such as making a program which graphs equations for them.

Requirements
There an no requirements whatsoever, you only need to know how to speak English.

Description
This course is a course that will teach you all the basic and advanced curriculum for Python 3 Beginners. And not only that but this course is great for Students still in school(High School, Middle School, and even University!). The Real-Life Projects within this course are targeted to academic students, for example, this course has a project which teaches you about making a program that can graph a parabola or even anything else! This course will also teach you how to make calculators, Quadratic Equations, Formulas, Interest Rate Calculators, and much much more, all in Python 3!

Who this course is for:
Beginner Python Students who are curious in fields of Data Science and also for Students who are still in School or University

Download link:

rapidgator_net:
https://rapidgator.net/file/5def115bde6cf947069bd8cf5bac8341/1cm7h.Python.3.for.Absolute.Beginners.And.Academic.Students.rar.html

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[mitsumi1]

Python Basics for Software Development
Duration: 1h8m | .MP4 1280x720, 30 fps(r) | AAC, 48000Hz, 2ch | 352 MB
Genre: eLearning | Language: English
Everything you need to know to get started with Python(Includes OOP)! By building real world programs in Python!

What you'll learn
All the Essential Concepts in Python with strong foundation of basics.
OOP (Object Oriented Programming) with Python.
Special Methods and Special Statements in Python.
Building some Real World Programs.
How to further proceed with your career with the knowledge gained in this course.

Requirements
An PC is required to practice.
Or you can use some online python compilers

Description
Bored with long lectures but want to learn something quickly! Here we go! This is a kind of course that you'll get to know the essential concepts in python with interesting coding exercises to enrich your knowledge with strong foundation in python in just 1.5 hours, Yes! you heard it right and this course will be a great kickstarter course for you all and I hope this will help you learn python in an easy way! All levels of students can take this course, for beginner this will be like a kickstarter course and for others this will be like a refresher course. And you can also gain access to an exciting article contains tools for machine learning, data science and software development at the end of this course!

Who this course is for:
All levels of students can take this course.
For beginner this will be like a kickstarter course.
For others this will be like a refresher course.

Download link:

rapidgator_net:
https://rapidgator.net/file/4f88006324b27b49f12c117cbe3070e7/qyghh.Python.Basics.for.Software.Development.rar.html

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[mitsumi1]

Python basics : learn Python by doing
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 498 MB
Genre: eLearning Video | Duration: 11 lectures (2 hour, 44 mins) | Language: English

Python basics and exercices

What you'll learn

In this course you will learn the Python Basics, "learn by doing"
Everyone who wants to discover Python quickly by doing

Requirements

Available for beginners, no prerequisites

Description

Have you always wanted to learn computer programming but are afraid it'll be too difficult for you? Or perhaps you know other programming languages but are interested in learning Python language fast?

Hello and welcome to the "How to learn python by doing" course. This fully updated course is one of the best Python courses on udemy to go straight to the point !

But you no longer have to waste your time and money learning Python from lengthy books, expensive online courses or complicated Python tutorials.

And therefore complex concepts are broken down into simple steps to ensure that you can easily master Python language even if you have never coded before.

Carefully Chosen Python Examples

Examples are carefully chosen to illustrate all concepts. In addition, the output for all examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.

Careful selection of topics

Topics are carefully selected to give you a broad exposure to Python, while not overwhelming you with information overload. These topics include object-oriented programming concepts, error handling techniques, file handling techniques and more.

How is this course different ?

The best way to learn Python is by doing. This course includes dozen of exercices that requires the application of all the concepts taught previously. Working exercises through the course will not only give you an immense sense of achievement, it'll also help you retain the knowledge and master the language.

What you'll learn:

- What is Python?

- What software do you need to code and run Python programs?

- What are variables?

- What are the common data types in Python?

- What are Lists and Tuples?

- How to format strings

- How to accept user inputs and display outputs

- How to control the flow of a program with loops

- How to handle errors and exceptions

- What are functions and modules?

- How to define your own functions and modules

- How to work with external files

- What are objects and classes

- How to write your own class

- What is inheritance

- What are properties

Each question in this course is crafted to help you gradually build your programming skills, focusing on one or two concepts at a time and increasing in level of difficulty as we progress through the chapters.

*Clear and Easy to Understand Solutions*

Projects to Consolidate Your Learning

A lot of times, when new programmers look at code written by other programmers, they tend to feel intimidated as a lot of the code looks complicated to them. A complete program written by other programmers incorporates many different concepts.

The goal of this course is to isolate the different concepts so that new programmers can gradually gain competency in the fundamentals of the language before working on bigger projects at the end of the course.

Programming does not have to be scary or frustrating when you take one step at a time.

* Explore Python's major built-in object types such as numbers, lists, and dictionaries

* Create and process objects with Python statements, and learn Python's general syntax model

* Use functions to avoid code redundancy and package code for reuse

* Organize statements, functions, and other tools into larger components with modules

* Dive into classes: Pythonr's object-oriented programming tool for structuring code

Ready to start practicing and building your Python skill?

Who this course is for:

Students (Computer Science, IT, etc.)
Developers who wants to learn more about python
Anyone interested in learning to code using Python

Download link:

rapidgator_net:
https://rapidgator.net/file/bc3b8aee8bd3502409b96a083ff8edaf/qudh0.Python.basics..learn.Python.by.doing.rar.html

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[mitsumi1]

Python : Data Analysis with Pandas Library
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 1.64 GB
Genre: eLearning Video | Duration: 9 lectures (4 hour, 5 mins) | Language: English

The Ultimate Pandas Tutorial for Data Science Beginners

What you'll learn

You will learn the basics of Pandas Library
You will have clarity on Pandas Data structures - Series & Dataframes
You will Play with Dataframes, Selecting columns & rows from a dataframe
You will understand Subsetting of dataframes - df[start_index:end_index]
You will get insights on Indexing
You will get clarity on Dataframes merging and concatenating

Requirements

Basic experience with the Python programming language
Strong knowledge of data types (strings, integers, floating points, booleans) etc

Description

Pandas Background:

When working with tabular data, such as data stored in spreadsheets or databases, pandas is the right tool for you. pandas will help you to explore, clean and process your data. In pandas, a data table is called a DataFrame. Pandas supports the integration with many file formats or data sources out of the box (csv, excel, sql, json, parquet,. . . ). Importing data from each of these data sources is provided by function with the prefix read_*. Similarly, the to_* methods are used to store data.

Selecting or filtering specific rows and/or columns? Filtering the data on a condition? Methods for slicing, selecting, and extracting the data you need are available in pandas. There is no need to loop over all rows of your data table to do calculations. Data manipulations on a column work elementwise. Adding a column to a DataFrame based on existing data in other columns is straightforward.

Pandas has great support for time series and has an extensive set of tools for working with dates, times, and timeindexed data. Data sets do not only contain numerical data. pandas provides a wide range of functions to cleaning textual data and extract useful information from it.

In this course we cover:

Basics of Pandas Library

Pandas Data structures - Series & Dataframes

Playing with Dataframes, Selecting columns & rows from a dataframe

Subsetting of dataframes - df[start_index:end_index]

Indexing

Dataframes merging and concatenating

Python programming has become one of the most sought after programming languages in the world, with its extensive amount of features and the sheer amount of productivity it provides. Therefore, being able to code Pandas in Python, enables you to tap into the power of the various other features and libraries which will use with Python. Some of these libraries are NumPy, SciPy, MatDescriptionLib, etc.

Who this course is for:

Data analysts and business analysts
Excel users looking to learn a more powerful software for data analysis

Download link:

rapidgator_net:
https://rapidgator.net/file/a884e48eff5b4c12b8c67b42fa44236e/krg9e.Python..Data.Analysis.with.Pandas.Library.rar.html

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[mitsumi1]

Python Django REST API: CRUD MySQL, Basic Auth, OAuth2, JWT
Duration: 3h23m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.46 GB
Genre: eLearning | Language: English
Mastering on building Python Django REST API and CRUD API. Securing REST API with Basic Auth, Token, OAuth2, JWT Token

What you'll learn
Learn basic Python programming for students without Python knowledge
Develop basic RESTful API application with Django REST framework
Build REST API for MySQL CRUD (Create, Read, Update and Delete)
Apply Django RESTful API security with Basic authentication
Apply Django RESTful API security with Token authentication
Apply Django RESTful API security with OAuth2
Apply Django RESTful API security with JWT Token
Apply Role-Based Authentication in Django REST API

Requirements
No Python programming knowledge. I teach a brief Python programming for you
Computer with Windows, Linux, or macOS
Internet access

Description
Python is one of programming language that is used easily. This bootcamp is designed to any web developer who wants to build REST API. We use Python Django and Django Rest Framework (DRF) to implement REST API applications.

This course focuses on

learning basic Python programming (for student without no Python programming)

building REST API with some projects

securing REST API by applying basic authentication, token authentication, OAuth2 and JWT token

All courses are delivered with step-by-step approach. All course contents are hands-on-lab format so you can follow this bootcamp easily.

Who this course is for:
Student and professional developers
Web developers who want to build REST API with Python Django
Any developer who upgrades skill to develop REST API with Python Django

Download link:

rapidgator_net:
https://rapidgator.net/file/fcb2ba64b9a21a5f3114e788515f864c/ka031.Python.Django.REST.API.CRUD.MySQL.Basic.Auth.OAuth2.JWT.rar.html

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[mitsumi1]

Python for 3D Data Visualization using MatDescriptionlib
Duration: 33m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 238 MB
Genre: eLearning | Language: English
Learn to visualize the data in 3 dimensions and gain more insight and information out of it

What you'll learn
3 dimensional data visualization using python and MatDescriptionlib
Visualize the data in higher dimensional using MatDescriptionlib
Gathering more information and Insights out of the data using the Descriptions like 3D-Line, 3D-Bar Description, 3D-Scatter Description and 3D- Wire Frame

Requirements
No Requirements, anyone who want to learn how to analyse the data in higher dimension can take this course

Description
This course is ranges for a beginner to an expert data scientist that want to learn how to visualize the data in 3 dimensions space, with the popular data visualization library MatDescriptionlib. There is absolutely no pre knowledge requirement for this course. The course starts from the basic 3d Line visualization and reaches to advanced concept such as 3d WireFrame

Who this course is for:
A Beginner in Data Science and Data Analysis Domain to an Expert who want to learn data visualization in multiple Dimensions

Download link:

rapidgator_net:
https://rapidgator.net/file/fb5735d83d91e6f091ce52d4ada8861a/ykmk7.Python.for.3D.Data.Visualization.using.MatDescriptionlib.rar.html

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[mitsumi1]

Python Hacking Course For Ethical Hackers
Duration: 35m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 254 MB
Genre: eLearning | Language: English
Learn to hack using python. Become an ethical hacker from scratch

What you'll learn
Setting Up Your Python
Creating TCP Client, UDP Client and TCP Server
Replacing Netcat Using Python
Building a TCP Proxy
SSH Tunneling
Owning the Network - Stealing Email Credentials
ARP Cache Poisoning

Requirements
Having a computer
Wanting to learn programming in python
no experience required

Description
Welcome this great course where you'll learn python programming and ethical hacking at the same time, the course assumes you have NO prior knowledge in any of these topics, and by the end of it you'll be at a high intermediate level being able to combine both of these skills and write python programs to hack into computer systems exactly the same way that black hat hackers do, and use the programming skills you learn to write any program even if it has nothing to do with hacking.

Who this course is for:
People interested to learn how to program in python
people curious about programming

Download link:

rapidgator_net:
https://rapidgator.net/file/07e972199136c58817ff7aac7b96c651/gadsa.Python.Hacking.Course.For.Ethical.Hackers.rar.html

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[mitsumi1]

Python Pandas and dfply for Data Manipulation
Duration: 4h37m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.59 GB
Genre: eLearning | Language: English
Data analysis and exploration using Pandas and dfply, learn Python Pandas and dfply in detail. Python Programming pandas

What you'll learn
Detailed knowledge on Pandas and DFPLY package in Python
Data Manipulation and exploration is very important in any data related work , here in this module we will talk about each and every concept of Pandas and dfply which enable us to explore the data.
Acquire the pre-requisite Pandas and DFPLY Python skills to move into specific branches - Machine Learning, Data Science, etc..
Understand how to explore the data by your own using Python programs.
Learn Python from experienced professional software developers.

Requirements
A computer - Windows, Mac, and Linux are all supported. Setup and installation instructions are included for each platform.
Your enthusiasm to learn this go-to programming language. It's a valuable lifetime skill which you can't un-learn!
Everything else needed to start programming in Python is already included in the course.
Basic understanding on Python

Description
Python is the number one language choice for machine learning, data science, and artificial intelligence. To get those high paying jobs you need expert knowledge of Python, and that's what you will get from this course. This is the most comprehensive, course for the Python Pandas and DFPLY package for data analysis and exploration where you can find content for every level either for beginners who have never programmed before using pandas and dfply or for existing programmers who want to increase their career options or want to learn about the advanced features of Python packages i.e. Pandas and dfply.

This course will teach you Pandas and DFPLY in Python in a practical manner, with every lecture comes to a full coding screencast and a corresponding code notebook. Here you will get in-depth knowledge of each topic with easy to understand the coding part. After every video, you learn a new valuable concept that you can apply right away.

By the end of the course, you'll be able to work with confidence using the packages like Pandas and dfply. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.

Who this course is for:
Beginners with no previous programming experience looking to obtain the skills to get their first programming job.
Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, AI
Existing programmers who want to improve their career options by learning the Python programming language.
Anyone looking for detailed understanding of Pandas and DFPLY

Download link:

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[mitsumi1]

Python Programming Beyond The Basics & Intermediate Training
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 819 MB
Genre: eLearning Video | Duration: 50 lectures (2 hour, 31 mins) | Language: English
Learn, Think and Hands-on Python Intermediate concepts and Boost your Python Development Career in short time!

What you'll learn

Using and Building Iterators
Block of statements Scopes
Formatting strings
Using and Building Generators
Hands-On Regular Expressions
Collections and Containers with functions
Creating, installing and using Packages
Mathematics and Statistics based on SL with function
Working with Decorators and solving Problem
A true understanding of how Intermediate Python topics work behind the scenes.
Get professional, friendly and fast support in the course Q&A for any kind of problems during this course.

Requirements

Python basics and Python installed.
Computer and any Text Editor or IDE

Description

Hi, Welcome to the Python Programming Beyond The Basics And Intermediate Training.
In this course, you will get a hands-on Many important topics that need to be mastered in order to create applications of multiple scales and purposes in Python programming language.

By the end of this course, you'll have the Intermediate concepts that every Python developer should have, and know how to use them practically in all the fields of the Python language.

Even if you are in any field such as data science, web development or machine learning, it is very necessary to know all the concepts that we will talk about in this course, as well as how to use them in a theoretical and practical way as we will do, and this is in order to facilitate the creation of programs in the correct way as you want it without wasting time or complication.

We created this course for you if you want to boost your Python career to become a productive Python programmer .

What are the topics that we will discuss in this course?

First, we will talk about iterators in the Python language, how to use them, the concepts and functions related to them, how to create them, and what is the purpose of creating them easily.

Simply, Iterator in Python is simply an object that can be iterated upon. An object which will return data, one element at a time.

This is a brief and simple definition of Python iterator.

Let's go to the second section, which we will talk about.

In the second section we will talk about The Python scope Of all kinds and how to deal with them.

Not all variables or functions can be accessed from anywhere in a program. The part of a program where a variable or function is accessible is called its scope.

The section that next, we'll talk about the string formatting To make sure a string will display as expected . and You'll learn about these formatting techniques in detail and add them to your Python string formatting toolkit.

And in the fourth section we will know all about:
What generators in Python are and how to use them

How to build generator functions and expressions

How the Python yield statement works and the difference between yield and return.

How to use multiple Python yield statements in a generator function.

How to use advanced generator methods in your apps.

The section that next, you'll learn everything about regular expressions in Python.

This is a very important topic, and we will talk about it in a detailed and practical way and with deep clarification. Actually, You'll have all power of regular expressions, You will work with the re library, deal with pattern matching, and many more.
Basically, Regular Expressions are a tool for matching patterns in text. This is a brief and simple definition of Regular Expressions.

In the next section, you'll master the most commonly used data structures from the Python collections module.
Basically, Collections in Python are containers that are used to store collections of data, for example, lists and dictionaries. These are built-in collections. Several modules have been developed that provide additional data structures to store collections of data. One such module is the Python collections module.

The collections module is used to improve the functionalities of the built-in collection containers.

The next section walks you through how to package a simple Python project. It will show you how to add the necessary files and structure to create the package, how to build the package, and how to use this Package.

In the next section, you'll master all about math and statistics modules practically, and the functions that are used with them.

Simply, the math module provides access to the mathematical functions defined by the C standard. and The statistics module provides functions for calculating mathematical statistics of numeric data.

Finally, In the last part of this course you will learn something very important, which is decoration.

In this section on decorators, we'll look at what they are and how to create and use them in detail.

Simply and By definition, a decorator is a function that takes another function and extends the behavior of the latter function without explicitly modifying it. that's it . We will simplify this topic very without complication, and with practical examples to illustrate.

Who this course is for:

Python Intermediate Developers
Anyone who wants to dive deeply into Python v3.9 Intermediate Topics without wasting time
Anyone who has finished the basics of Python and does not know where to go
Python developers who want to master new features of modern python

Download link:

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[mitsumi1]

ROS for Beginners II: Localization, Navigation and SLAM
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.47 GB
Genre: eLearning Video | Duration: 71 lectures (3 hour, 41 mins) | Language: English

A practical approach to learn the foundation of mobile robots SLAM and Navigation with ROS

What you'll learn

Theoretical foundations of 2D and 3D localization
Transformation between frames in 2D and 3D Spaces
The powerful feature of the tf package to represent frames and perform transformation and localization
Theoretical foundation of localization and mapping (SLAM)
Background on navigation concepts (global path planning, local path planning, collision avoidance)
Difference between Map-Based Navigation and Reactive Navigation
The navigation stack of ROS (move_base, amcl, gmapping)

Requirements

Prior knowledge of the basic concepts of the Robot Operating System (ROS) (required)
Knowledge in C++ and/or Python Programming language
Background on the concepts of Linear Algebra, Trigonometry and Geometry
Want to learn ROS
Eager to learn robotics navigation

Description

UPDATE

OCT 9, 2020: I added the installation instruction of Turtlebot3 on ROS Noetic

Overview

Localization, mapping, and navigation are fundamental topics in the Robot Operating System (ROS) and mobile robots. However, it is very complex to learn. Usually, beginners find it difficult to even know where to start. The typical tutorials in ROS give high-level information about how to run ROS nodes to performs mapping and navigation, but they do not give any details about the technical aspects. Some other courses focus more on the technical aspects, which is mathematically complex but does not give a clear link to how these concepts are tied with the ROS navigation stack.

This course addresses this gap and follows a practical approach to introduce new learners to mobile robot navigation foundations and how it is implemented in ROS. The course is designed to introduce you to the world of mobile robot navigation in a quick and effective manner.

In this course, I presented detailed coverage of the most important package in ROS for navigation: the tf package! Without understanding this package, it will be difficult to deeply understand how navigation works in ROS. Although there are tf tutorials, the tf package heavily relies on important theoretical concepts not presented in ROS tutorials. This course provides a systematic introduction to the necessary theoretical background and complement with demonstration and programming activities of the tf package utilities and API.

This course assumes that you have some background on the main concepts of Robot Operating System (ROS), such as ROS nodes, ROS topics, ROS services, and an understanding of the basic notion of motion with ROS. If you do not have these skills, I would recommend first enroll in my course ROS for Beginners: Basics, Motion, and OpenCV to get the necessary background.

My experience with ROS

I have been programming with ROS for many years both in academic and industrial projects. I am very passionate to develop programs with ROS. I have also been teaching ROS at the University and providing training programs. I am the R&D Director of Gaitech Robotics, and I have developed many ROS packages for robots and drones. I have been leading international scientific activities around ROS, and in particular, I am the editor of five volumes of books with Springer entitled Robot Operating System, The Complete Reference. I gained a lot of experience in what difficulties new users encounter to learn ROS and this contributed to pin right to the point addressing these problems through the different lectures of the course.

Who this course is for:

Beginner ROS developers and users
Students at Universities learning ROS
Anyone interest to know about the navigation concepts of ROS and mobile robots
Curious about robotics
Whoever wants to learn ROS navigation without wasting time

Download link:

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[mitsumi1]

Sales Smarts: A playbook to become a sales pro!
Duration: 1h11m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.46 GB
Genre: eLearning | Language: English
Building is easy! Selling is the real deal...

What you'll learn
The building blocks in terms attitude and mindset required to become a champion sales person.

Requirements
Just a curious mind!

Description
Sales is both an art and a science! Yet, it seldom gets the focus or the attention it deserves. This first of its kind playbook is a practitioners guide to becoming an effective sales person. Learn everything you need to be on the top of your sales game! The module is delivered by Sanjoy Mukerji - a respected senior management professional with leadership experience in Global MNCs across FMCG, Telecom and Healthcare.

Who this course is for:
MBA students and young sales managers

Download link:

rapidgator_net:
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