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01 December, 2020

Share Khóa học Free 2020 full Google Driver Link - O’reilly – Strata Data & AI Superstream Series Deep Learning

Share Khóa học Free 2020 full Google Driver Link - O’reilly – Strata Data & AI Superstream Series Deep Learning 

O’reilly – Strata Data & AI Superstream Series Deep Learning Free Download

Size: ~5GB

Upload: 28.11.2020

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Content From: https://www.oreilly.com/live-training/courses/strata-data-ai-superstream-series/0636920455455/

Description 

Prerequisites

  • Come with your questions
  • Have a pen and paper handy to capture notes, insights, and inspiration

What you’ll learn-and how you can apply it

  • Explore the concept of sociolinguistic variation and see how it affects machine learning models
  • Discover evaluation techniques for trained models to ensure your system is working for everybody
  • Learn how to build language-powered apps fast using pretrained open source and cloud natural language models
  • Understand how to run inference NLP models and applications at scale using the Intel Distribution of OpenVINO toolkit

This Superstream is for you because…

  • You want to explore the latest in natural language processing (NLP) tools and techniques.
  • You want to learn how to use TensorFlow to build AI applications that can understand and create text.
  • You care about fairness and want to understand what that means for your NLP projects in practical terms.
  • You want to learn how to create language-powered apps without having to build a model from scratch.

O’reilly – Strata Data & AI Superstream Series Deep Learning Free Download

Size: ~5GB

Upload: 28.11.2020

Goqogle Drive

Content From: https://www.oreilly.com/live-training/courses/strata-data-ai-superstream-series/0636920455455/

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30 November, 2020

Beyond the Basic Stuff with Python

Beyond the Basic Stuff with Python

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Author(s): Al Sweigart

Publisher: No Starch Press, Year: 2020

Description:
BRIDGE THE GAP BETWEEN NOVICE AND PROFESSIONAL

You’ve completed a basic Python programming tutorial or finished Al Sweigart’s best selling Automate the Boring Stuff with Python. What’s the next step toward becoming a capable, confident software developer?

Welcome to Beyond the Basic Stuff with Python. More than a mere collection of advanced syntax and masterful tips for writing clean code, you’ll learn how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program—not just in Python but in any language.

You’ll learn:

Coding style, and how to use Python’s Black auto-formatting tool for cleaner code
Common sources of bugs, and how to detect them with static analyzers
How to structure the files in your code projects with the Cookiecutter template tool
Functional programming techniques like lambda and higher-order functions
How to profile the speed of your code with Python’s built-in timeit and cProfile modules
The computer science behind Big-O algorithm analysis
How to make your comments and docstrings informative, and how often to write them
How to create classes in object-oriented programming, and why they’re used to organize code
Toward the end of the book you’ll read a detailed source-code breakdown of two classic command-line games, the Tower of Hanoi (a logic puzzle) and Four-in-a-Row (a two-player tile-dropping game), and a breakdown of how their code follows the book’s best practices. You’ll test your skills by implementing the program yourself.

Of course, no single book can make you a professional software developer. But Beyond the Basic Stuff with Python will get you further down that path and make you a better programmer in the process as you learn to write readable code that’s easy to debug and perfectly Pythonic.

Author Bio
Al Sweigart is a celebrated software developer, creator of a wildly popular Udemy Python course, and a programming teacher. A fellow at the Python Software Foundation, Sweigart is also the author of three other Python books with No Starch Press, including the worldwide bestseller Automate the Boring Stuff with Python.
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29 November, 2020

Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to quantitative finance to analyze data

Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to quantitative finance to analyze data

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Author(s): Eryk Lewinson

Publisher: Packt Publishing, Year: 2020

Description:
Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas

Key Features
• Use powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial data
• Explore unique recipes for financial data analysis and processing with Python
• Estimate popular financial models such as CAPM and GARCH using a problem-solution approach

Book Description
Python is one of the most popular languages used with a huge set of libraries in the financial industry.
In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, and RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and Fama-French's Three-Factor Model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the finance domain. You'll also learn how to solve credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of models and handle class imbalance. Finally, you'll focus on solving problems in finance with deep learning using PyTorch.
By the end of this book, you'll have learned how to effectively analyze financial time series using a recipe-based approach.

What you will learn
• Download and preprocess financial data from different sources
• Backtest the performance of automatic trading strategies in a real-world setting
• Create financial econometrics models in Python and interpret their results
• Use Monte Carlo simulations for a variety of tasks
• Improve the performance of financial models with the latest Python libraries
• Apply machine learning and deep learning techniques to solve different financial problems
• Understand the different approaches used to model financial time series data

Who This Book Is For
This book is for financial analysts, data analysts, and Python developers who want to learn how to implement a broad range of tasks in the finance domain. Data scientists looking to devise intelligent financial strategies to perform efficient financial analysis will also find this book useful. Working knowledge of the Python programming language is mandatory to grasp the concepts covered in the book effectively.
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28 November, 2020

Automate the Boring Stuff with Python, 2nd Edition

26 November, 2020

Python For Data Analysis: A Beginner’s Guide to Learn Data Analysis with Python Programming

Free Course Learn Python Programming Masterclass 2020 Full Link Google Driver

 

Free Course Learn Python Programming Masterclass 2020 Full Link Google Driver 

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Learn Python Programming Masterclass Description

Requirements

  • You’ve either already got it or it’s FREE. Here’s the checklist:
  • 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.

What you’ll learn

  • Have a fundamental understanding of the Python programming language.
  • Have the skills and understanding of Python to confidently apply for Python programming jobs.
  • Acquire the pre-requisite Python skills to move into specific branches – Machine Learning, Data Science, etc..
  • Add the Python Object-Oriented Programming (OOP) skills to your résumé.
  • Understand how to create your own Python programs.
  • Learn Python from experienced professional software developers.
  • Understand both Python 2 and Python 3.

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, and artificial intelligence.
  • Existing programmers who want to improve their career options by learning the Python programming language.
  • If you are an expert Python programmer with extensive knowledge, and many years’ experience, then this course is probably not for you.
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25 November, 2020

Free Course Angular 8 Advanced MasterClass & Free E-Book 2020 Full Google Driver Link

Free Course Angular 8 Advanced MasterClass & Free E-Book 2020 Full Google Driver Link

What you’ll learn

  • Code in Github repository with downloadable ZIP files per section
  • Learn the most advanced features of Angular
  • learn how to how to build open source Angular libraries
  • Component API Design
  • Component Styling best practices
  • Templates and Template Outlets, ng-content, ng-container, style isolation and customization
  • AOT, global events, debugging with the CLI, @ViewChildren, @ContentChildren
  • Light DOM vs Shadow DOM, @HostBinding, @HostListener, dynamic components
  • Directives, handling keyboard events, testing, animations and more

Who this course is for:

  • Software Developers looking to dive deeper into Angular
  • Software Developers looking to learn how to publish an open-source Angular librar

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Learn Power Query: A low-code approach to connect and transform data from multiple sources for Power BI and Excel. Code

Learn Power Query: A low-code approach to connect and transform data from multiple sources for Power BI and Excel. Code

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Author(s): Linda Foulkes, Warren Sparrow

Publisher: Packt Publishing, Year: 2020

Description:
Code .

Discover how you can combine data from various sources to create data models to suit your business requirements with the help of this clear and concise guide

Key Features

  • Understand how Power Query overcomes the shortcomings of Excel Power Pivot in handling complex data
  • Create customized dashboards and multi-dimensional reports using Power Query and Power BI
  • Learn the Power Query M language and write advanced queries using custom functions

Book Description

Power Query is a data connection technology that allows you to connect, combine, and refine data from multiple sources to meet your business analysis requirements. With this Power Query book, you'll be empowered to work with a variety of data sources to create interactive reports and dashboards using Excel and Power BI.

You'll start by learning how to access Power Query across different versions of Excel and install the Power BI engine. After you've explored Power Pivot, you'll see why Excel users find it challenging to clean data in Power Pivot and learn how Power Query can help to tackle the problem. The book will show you how to transform data using the Query Editor and write functions in Power Query. A dedicated section will focus on functions such as IF, Index, and Modulo, and creating parameters to alter query paths in a table. You'll also work with dashboards, get to grips with multi-dimensional reporting, and create automated reports. As you advance, you'll cover the M formula language in Power Query, delve into the basic M syntax, and write the M query language with the help of examples such as loading all library functions offline in Excel and Power BI. Finally, the book will demonstrate the difference between M and DAX and show how results are produced in M.

By the end of this book, you'll be ready to create impressive dashboards and multi-dimensional reports in Power Query and turn data into valuable insights.

What you will learn

  • Convert worksheet data into a table format ready for query output
  • Create a dynamic connection between an Access database and Excel workbook
  • Reshape tabular data by altering rows, columns, and tables using various Power Query tools
  • Create new columns automatically from filenames and sheet tabs, along with multiple Excel data files
  • Streamline and automate reports from multiple sources
  • Explore different customization options to get the most out of your dashboards
  • Understand the difference between the DAX language and Power Query's M language

Who this book is for

This Power Query book is for business analysts, data analysts, BI professionals, and Excel users looking to take their skills to the next level by learning how to collect, combine, and transform data into insights using Power Query. Working knowledge of Excel and experience in constructing and troubleshooting Excel formulas and functions is expected.

Table of Contents

  1. Installation and Setup
  2. Power Pivot Basics, Inadequacies, and Data Management
  3. Introduction to the Power Query Interface
  4. Connecting to Various Data Sources using Get and Transform
  5. Transforming Power Query Data
  6. Advanced Power Queries and Functions
  7. Automating Reports in Power Query
  8. Creating Dashboards with Power Query
  9. Working with M
  10. Examples of M Usage
  11. Creating a Basic Custom Function
  12. Differences between DAX and M
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24 November, 2020

The Complete Android Kotlin Developer Course Site 2020 Free

The Complete Android Kotlin Developer Course Site 2020 Free

The Complete Android Kotlin Developer Course Description

Requirements

  • No previous programming experience is required! I will teach you what you need to know.
  • You will need a computer running Microsoft Windows, or Linux, or a Mac running OS X.

Adobe InDesign CC: Your Complete Guide to InDesign

What you’ll learn

  • Build Your First Mobile App with Kotlin
  • Apply to jr. Android development jobs
  • Build real-world Android apps like Twitter,Facebook, My Notes, Find my phone, media-player, Calculator, find my age, find sunrise time and Alarm
  • Build online games, like Pokémon, play tic tac toe online with friends.
  • Work with New Firebase from Google and Web services (RESTful API calls)
  • Work with sqlite Database and SharedPreferences.
  • connect Android to PHP web services and MySQL database.
  • Work with user location and maps
  • Design amazing layout using Style, Color,Shape, Menu and ConstraintLayout
  • Work with camera and other hardwares, like light sensor to run music when light on and Accelerometer sensor
  • How to avoid reverse engineering (Reskin) for your app
  • Make app that support Supporting Different Screens, and different languages
  • Use system service like BroadcastReceive, Services, and Alarm
  • Understand the programming foundation
  • Understand the programming logic, condition and control
  • Understand the OOP in Kotlin
  • Use collections, And what is the better place to use collection

Who this course is for:

  • This course is designed for anyone looking to learn how to build Android Apps with Kotli

The Complete Android Kotlin Developer Course Free Download

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Programming For Computations - Python: A Gentle Introduction To Numerical Simulations With Python 3.6

Programming For Computations - Python: A Gentle Introduction To Numerical Simulations With Python 3.6

Author(s): Svein Linge, Hans Petter Langtangen

Series: Texts In Computational Science And Engineering v. 15

Publisher: Springer, Year: 2020

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Description:
This book is published open access under a CC BY 4.0 license. This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapters, thus expanding the introduction to programming from 50 to 150 pages. Throughout the book, the explanations provided are now more detailed, previous examples have been modified, and new sections, examples and exercises have been added. Also, a number of small errors have been corrected.
The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style employed is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context of engineering and science courses. The emphasis is on generic algorithms, clean program design, the use of functions, and automatic tests for verification.
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23 November, 2020

CODING: 3 MANUSCRIPTS IN 1: Everything You Need To Know to Learn PROGRAMMING Like a Pro. This Book includes PYTHON, JAVA, and C ++

Complete VMWare vSphere ESXi and vCenter Administration Free

Complete VMWare vSphere ESXi and vCenter Administration Free


Requirements

  • Desire to learn
  • A computer with at least 4-8G of memory

What you’ll learn

  • Students will be able to do the VMWare vSphere administration
  • By the end of this course you will be a professional VMWare vSphere administrator and be able to apply for IT jobs
  • You will be able to install and configure ESXi
  • You will be able to install and Configure vCenter
  • You will be able to create Virtual Machines
  • You will have great exposure to VMWare HA and DRS technology
  • You will be able to troubleshoot everyday vSphere related issues

Who this course is for:

  • Anyone who has some prior knowledge of IT or VMWare
  • Anyone who wants to add a new skill to his or her profile
  • Anyone who wants to manage VMWare in their environmen

Complete VMWare vSphere ESXi and vCenter Administration Free Download

Google Drive (Public)

Content From: https://www.udemy.com/course/complete-vmware-vsphere-esxi-and-vcenter-administration/

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