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.NET Deep Dive: NuGet Package Manager (225825)

Most programming languages have an associated package management system that helps find and install code libraries and their dependencies. For the .NET developer, NuGet is the official package manager. In this course, longtime .NET programmer Walt Ritscher looks at the NuGet integration within Visual Studio and the Visual Studio command line. Walt shows you how to install, update, and remove packages from .NET projects, as well as how to search the public NuGet Gallery and create private repositories for your team. He also details the process of creating and publishing custom packages. If you’re a .NET programmer, understanding the Visual Studio package management system is vital knowledge, so join Walt as he takes a deep dive into the NuGet package manager.

.NET Essentials: LINQ for Databases

Learn how to use Microsoft LINQ to simplify working with databases. Explore the LINQPad code editor, queryable types, basic query syntax, finding data by date range, and more.

.NET Essentials: LINQ for XML (226148)

The first explanation you typically hear about Microsoft LINQ is that it provides an in-language query tool to manipulate the contents of arrays and lists. Explore LINQ further and you’ll find it works with other popular data sources like XML files. In this course, instructor Walt Ritscher shows you how LINQ to XML uses LINQ extension methods to read, create, search, and manipulate XML in a simplified way. Walt walks you through LINQPad, the lightweight, powerful code editor and code runner that is used in this course, then explains how to load XML into different LINQ classes. He covers how you can get different elements and attributes from XML and some of the ways you can work with elements and attributes, after getting them. Walt describes a variety of query operators that you can use. He concludes with a discussion on how you can create and edit XML structure with LINQ.

.NET Essentials: Working with LINQ

Learn the basics of working with Language-Integrated Query (LINQ), which allows developers to filter, sort, aggregate, and query data directly within C# code.

.رفتارهای حیاتی و ارزش های سازمانی

Organizational Values and Vital Behaviors are the two main pillars on which we have based our business. You will learn about MTN-Irancell 2 pillars of "Organizational Values" and "Vital Behaviors"

(Ted Talk ) چرا کار در منزل برای کسب‌وکار خوب است

مت مولنوگ، یکی از بنیان‌گذاران وردپرس و مدیرعامل اتوماتیک (که ۱۰۰ درصد نیروی کار آن پراکنده هستند) رازهای خود را به اشتراک می‌گذارد

(TED Talk) چگونه گروه‌ها تصمیمات مناسبی اتخاذ می‌کنند؟

همه ما می‌دانیم که وقتی تصمیماتی به صورت گروهی می‌گیریم، همیشه تصمیمی بجا نیست و برخی اوقات ممکن است غلط باشد. چگونه گروه‌ها می‌توانند تصمیمات درست بگیرند؟ به کمک همکارش دن آریلی، ماریانو سیگمان عصب شناس با اجرای آزمایش‌هایی با مردم در سراسر دنیا به بررسی این موضوع می‌پردازد که چگونه ما تعامل می‌کنیم تا به تصمیم برسیم. در این تجربه مفرح و پر از حقیقت، او برخی از نتایج جالب را درمیان می‌گذارد و برخی پیامدهای آن را برای چگونگی اثر آن روی سیستم سیاسی ما بیان می‌کند. در زمانی که مردم به نظر بیشتر از همیشه قطبی شده اند، سیگمان ابراز می‌دارد، فهم بهتری از چگونگی تعامل و رسیدن به توافق گروه‌ها می‌تواند جرقه‌ای برای راه‌های جدید در جهت ساختن دموکراسی سالم‌تر باشد.

(Ted Talk) راز خوشحالی برای کار بهتر

مشکل اینه که این فرمول به دو دلیل از لحاظ علمی ناقص و خلاف جهت است. اولا” ، هر وقت مغزتان با موفقیتی روبرو می شه، شما قبلش تیر دروازه را عقب تر بردید (شرایط تجلی موفقیت را تغییر داده اید). شما نمره های خوبی گرفتید، حالا نمره های بهتری می خواهید، شما در مدرسۀ خوبی بودید و بعدش پذیرش در مدرسۀ بهتری می خواهید، شما شغل خوبی داشتید ولی حالا می بایست شغل بهتری داشته باشید، شما به هدف زدید، ما نقطۀ هدفتان را تغییر خواهیم داد. و اگر خوشبختی، نقطۀ مخالف موفقیت است، مغز شما هیچگاه به اون نمی رسه. آنچه ما انجام دادیم اینه که در قالب یه جامعه، خوشبختی را به آنسوی افق شناختی سوق دادیم

(TED Talk)پیامد به تعویق انداختن کارها چیست؟

تیم اوربان به خوبی می داند به تعویق انداختن کارها (از زیر کار در رفتن) چه پیامدهایی دارد، اما او هیچوقت نتوانسته عادت لحظه آخری بودنش را ترک کند، در این ارائه جذاب و خنده دار اوربان ما را به دنیای چرخ زدن های چند ساعته و بدون ربط در سایت های مختلف و وقت تلف کردن های طولانی می برد و ما را تشویق می کند که تا قبل از اینکه دیر شود در مورد آن چیزهایی که به تعویق می اندازیم بیشتر فکر کنیم.

1 Person Crew Video Productions: 1 Up and Running

Learn how to produce professional videos with very little gear, tight deadlines, shoestring budgets —and no crew.

1 Person Crew Video Productions: 2 The Cinematic Look

Learn how to add a more cinematic look to your video productions with very little gear and without a crew.

1 Person Crew Video Productions: Tips and Tricks (224295)

Join Emmy Award-winning filmmaker Eduardo Angel as he shares field-tested tips and tricks for capturing rich stories and stunning visuals as a one-person crew. Eduardo highlights the advantages and disadvantages of working solo, sharing examples gleaned from his own experiences working around the globe. He provides tips for speeding up your editing workflow, getting the right gear, and tightening up your working routine to get the most out of every day. Plus, Eduardo offers suggestions for getting comfortable in front of the camera, finding fascinating subjects, and more.

Note: Because this is an ongoing series, viewers will not receive a certificate of completion.

10 Mistakes Leaders Should Avoid (215098)

Leaders balance a lot. They manage entire teams, oversee cross-functional tasks, and take on their own work as individual contributors. With all these moving parts, it can be easy to fall victim to small mistakes that snowball into large problems. In this course, leadership development expert Halelly Azulay reviews common mistakes that leaders should avoid to help their teams and themselves to succeed. She describes each error, then explains behaviors and techniques you can use to turn these areas for improvement into team highlights. Halelly first reviews communication blunders that can have a major impact on employee morale and how a leader is perceived. Then she covers mistakes that deal with employee development, performance management, and collaboration. In going over the last four mistakes, Halelly gives you pro tips for leading impactfully and fostering a culture that keeps your team engaged.

This course was created by Madecraft. We are pleased to host this training in our library.

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10 Ways to Stay Motivated While Job Hunting

Learn 10 ways to keep your morale up and increase your chances of success while looking for a job.

100 Courses and Counting: David Rivers on Elearning

What goes into creating a lynda.com course? Join David Rivers author of 100+ lynda.com titles, to learn about his course creation process and his career as an elearning expert.

11 Useful Tips for Regression Analysis (229344)

If you need to sort through information to gain insights or make data-driven decisions, regression analysis is a helpful tool in almost any circumstance. On the most basic level, regression analysis reveals relationships between a dependent variable and a collection of independent variables in a fixed dataset. This is crucial for predicting and forecasting, and also helpful for inferring causal relationships between variables. In this course, Franz Buscha moves beyond the basics, showcasing several prominent tips and tricks that will allow you to not only build better regression models, but also present your results in a more impactful way. Through use of practical examples, Franz covers topics like weighted regressions, polynomial variables, and how to deal with missing data in your regression models.

12 Principles of Animation for CG Animators

Learn the 12 principles that underlie everything animators do in movies and video games. Learn how they translate into digital character animation and tools like Blender and Maya.

14 Things to Do When You Lose Your Job

Learn the actions you can take to survive a job loss, from protecting your savings to using your network to find new opportunities.

15 Mistakes to Avoid in Data Science

Save time and grow your skills faster. Learn the top mistakes that you should avoid as a data scientist.