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Live Hangouts Review Now

Second video of the first chapter of our course: Merging DataFrames with pandas by Dhavide Aruliah. First chapter free: https://www.datacamp.com/courses/merging-dataframes-with-pandas
As a Data Scientist, you'll often find that the data you need is not in a single file. It may be spread across a number of text files, spreadsheets, or databases. You want to be able to import the data of interest as a collection of DataFrames and figure out how to combine them to answer your central questions. This course is all about the act of combining, or merging, DataFrames, an essential part of any working Data Scientist's toolbox. You'll hone your pandas skills by learning how to organize, reshape, and aggregate multiple data sets to answer your specific questions.
Now we can import many files into individual DataFrames, let's investigate sharing information between DataFrames using their Indexes.
This is essential for combining DataFrames later, as Indexes are the means by which DataFrame rows are labelled.
Let's make a brief note on terminology.
The plural of "index" in English can be indexes or indices; both are acceptable.
Let's adopt the convention of using indices as the plural of index when referring to individual labels within an Index data structure.
By contrast, we can use indexes as the plural of index with reference to many Index data structures associated with several Pandas Series or DataFrames.
This is not a standard convention, but it helps us resolve ambiguity in thinking about, say, sets of indices within many indexes.
To start, let's load two DataFrames of temperature data recorded from Pittsburgh in 2013.
For both calls to read_csv(), we use the index_col argument to specify which column becomes the DataFrame Index ('Month' in both cases).
Remember, the Index is a privileged column in Pandas providing convenient access to Series or DataFrame rows.
We can examine our DataFrames w_mean & w_max more closely.
The Mean TemperatureF & Max TemperatureF columns are respectively the average & maximum daily temperatures (in Fahrenheit) observed during three-month intervals or quarters.
For both DataFrames, the column Month is the DataFrame Index.
The month listed in each Index row is the first month of each quarter.
By virtue of how the CSV files are stored, the Index of w_mean is in alphabetical order while the Index of w_max is in chronological order;
the former gives a distorted sense of time-dependent trends.
The DataFrame Indexes are accessed directly with the .index attribute.
Both w_mean & w_max have Indexes of type object because the index labels are strings.
The Pandas type() function shows us the data type of the Index.
We define a list called ordered to impose a deliberate ordering for the Index labels of w_mean.
The DataFrame .reindex() method creates a new DataFrame w_mean2 with the same data as w_mean but with a new row ordering according to the input list ordered.
We can see that w_mean2 has the desired chronological ordering.
The original alphabetically-ordered DataFrame can be recovered with the DataFrame .sort_index() method.
Pandas Index labels are typically sortable data, such as numbers, strings, or datetimes.
The input argument to the .reindex() method can also be another DataFrame Index.
For instance, here, we use the Index from w_max to reindex w_mean in chronological order.
When a suitably indexed DataFrame is available, the reindex() method spares us having to create a list manually or having to sort the Index.
The specific Index labels provided to the .reindex() method are important.
For instance, if we invoke .reindex() again using an input list containing a label that is not in the original DataFrame Index (Dec in this case), an entirely new row is inserted & filled with the null value NaN or not-a-number.
We can also use .reindex() to see where DataFrame rows overlap.
For instance, here, we reindex w_max with the index of w_mean3 showing that w_max does not have a row labelled Dec either.
Using .dropna() removes entire rows in which null values occur.
This is a common first step when merging DataFrames.
Finally, we should realize that order counts.
That is, w_max.reindex(w_mean.index) is not the same as w_mean.reindex(w_max.index).
The latter fixes the row order as desired in w_mean; the former replicates the misleading alphabetical row order in w_max; this is likely not desired.
Try reindexing some DataFrames now in the exercises.

Views: 3972
DataCamp

A power is also known as an index number, or indices for plural. They tell us how often a number or letter has been multiplied by itself.
In this video we are going to look at index notation, so that we are ready to cover the laws of indices in future videos.
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Views: 3826
FuseSchool - Global Education

You can create a virtual account at binary.com here https://goo.gl/YCPYR5
Watch this quick tutorial video to learn the basics of index trading. Explore the simple fundamentals of indices and how to place trades in 90 seconds. The video transcript:
What are Indices? Today, we’re going to explain a little about what Indices are and how they work from a trading perspective.
The word “Indices” is the plural form of Index. Stock market indices measure the value of a selection of companies in the stock market. They can let investors see how a particular set of assets – based in a specific industry sector or a certain part of the world – is performing.
There are lots of different types of indices, which each use different formulas to calculate the index price.
Market value-weighted indices are the most common type; here, the bigger the company’s average return, the greater the influence it’ll have on the price of the index as a whole.
Price-weighted indices are based on the company’s share price. Companies with high share prices have a larger amount of influence on price-weighted indices.
There’s a lot more to learn about Indices. So, if you’re interested, check out the Learning Center on Binary.com, where you can explore tons of educational resources.
Or if you’d like to jump right in, sign up for a virtual account at Binary.com, where you can start learning how to trade for free.

Views: 461
Simon Carr

Market Index Explained: Guide to Security Market Indices
FINANCE & FINANCIAL MARKETS
1. What is an Index? 1:49
2. What Do We Use Indices For? 3:38
3a). Different Types of Indices: Price vs Total Return 4:47
3b). Different Types of Indices: Weights 5:54
3c). Different Types of Indices: Underlying Securities 10:48
4. Rebalancing and Reconstitution 13:35
1.WHAT IS AN INDEX?
It’s a numerical Value
...generated, published and promoted by a private organisation
This value is calculated from Market Prices of the index's Constituents
Constituents are made up of an security market, asset class, or market segment
Thus the index can reflect the value or performance of a particular security market, asset class or market segment
E.g. If the S&P 500 Index rises 2%, then that represents a 2% increase, of the 500 stocks that make up the S&P 500 equity Index
Index Examples:
* Dow Jones Industrial Average
* Nikkei Stock Average
* MSCI All Country World Index
* Barclays Capital Global Aggregate Bond Index
* FTSE EPRA/NAREIT Global Real Estate Index
* HFRX Global Hedge Fund Index
2. WHAT DO WE USE INDICES FOR?
* Measure a Market’s Return
...or Just Measure Market and Investor Sentiment
* To Use the Index as an Investment Performance Benchmark Provide a Model Portfolio, or a Portfolio Selection Basket, for funds
e.g. ‘Index Funds’ or ‘Large-Cap Funds’
* For Quantitative Functions
e.g. to assist in calculating beta, expected returns or risk-adjusted returns
3. DIFFERENT TYPES OF INDICES
a) ‘Price’ vs ‘Total Return’ Indexes
* 'Price' Index:
Calculated using on the market prices of the underlying, constituent securities
* 'Total Return' Index:
Calculated by ALSO including cash flow from the constituent securities, e.g. dividends and interest
3. DIFFERENT TYPES OF INDICES
b) Weighting Methods
How each constituent security impacts the final index value is dependent on its Weight in the Index.
There are a number different weighting methods
* ‘Price-weighted’ Index:
Each security has an equal number of shares/units in the index
e.g. 1x share of Apple, 1x share of Exxon Mobil, etc
Thus, higher priced securities have greater weight, when shares/units are held equal
i.e. ‘Price-weighted’
* ‘Market Cap-weighted’ Index:
Each security's index weight should represent their actual % of total market value
e.g. 30x shares of Apple (if 30% of market), 5x shares of T-Mobile (if 5% of market), etc
Thus, larger market cap securities have greater weight
i.e. ‘Market Cap-weighted’
* ‘Equal-weighted’ Index:
Each security's index weight is the same and should have an equal dollar value in the index
e.g. 10x shares of Apple (if AAPL @ $50), 20x shares of Netflix (if NFLX @ $25), etc
Thus, smaller market cap securities have greater weight
This methods means the Index Return is just the avg return of constituents
Others:
* Float-Adjusted Index Weights:
e.g. ‘Market-float Weighted’ Index or a ‘Free Float’ Index
* Fundamental Index Weights:
e.g. ‘Revenue’, ‘Earnings’ or even ‘GDP’ weighted indexes
3. DIFFERENT TYPES OF INDICES
c) Underlying Securities
There’s virtually no restriction on the groups of underlying securities that make up the constituents of an index
...But the Key Ideas are:
It’s not about ‘restrictions’ on what can be an index,
it’s about ‘competition’ and ‘relevance’ to make the index popular & adopted.
To have mass adoption an index must represent, or include, a material commonality or grouping useful/valuable for investors
* Equity Market Indices:
Broad Market, e.g. the whole market
Multi Market, e.g. multiple countries
Sector, e.g. technology
Style, e.g. large-cap
* Alternative Asset Indices:
Real Estate Indexes
Commodity Indexes
Hedge Fund Indexes
* Fixed Income Indices:
Country, or Region Indices
Sector Index
Type of Issuer Index, e.g. Corporate or Government
Maturity
4. REBALANCING AND RECONSTITUTION
An Index is NOT static.
They are frequently updated, e.g. quarterly, annually
* Rebalancing:
Update the Weights of the Index Constituents
e.g. An Equal-Weighted Index needs rebalancing as weights become unequal over time
* Reconstitution:
Updating the Constituents, i.e. Adding and deleting them
e.g. ASX200 has companies fall out of (and rise into) the top 200 market cap stocks
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Views: 93
AccoFina

In this InDesign tutorial I will show you an easy way to create an Index in indesign, for your book or long document. We discuss all you need to know = ) The final result is an PDF document with an Index, that is clickable (linked to the pages of the document). Happy indexing every one! Make sure to watch the whole videos, useful extra tips at the end!
Previous video on how to place and tag pictures in InDeisgn:
https://www.youtube.com/watch?v=pjlNQt7cl4g
More information on my website:
http://luckylion.de/vasco/tutorials/indesign_beyond_the_thesis/digitizeyourlecturenotesindexing.php

Views: 136093
luckylion

In economics and finance, an index is a statistical measure of changes in a representative group of individual data points. These data may be derived from any number of sources, including company performance, prices, productivity, and employment. Economic indices (index, plural) track economic health from different perspectives. Influential global financial indices such as the Global Dow, and the NASDAQ Composite track the performance of selected large and powerful companies in order to evaluate and predict economic trends. The Dow Jones Industrial Average and the S&P 500 primarily track U.S. markets, though some legacy international companies are included. The Consumer Price Index tracks the variation in prices for different consumer goods and services over time in a constant geographical location, and is integral to calculations used to adjust salaries, bond interest rates, and tax thresholds for inflation. The GDP Deflator Index, or real GDP, measures the level of prices of all new, domestically produced, final goods and services in an economy. Market performance indices include the labour market index/job index and proprietary stock market index investment instruments offered by brokerage houses.
Some indices display market variations that cannot be captured in other ways. For example, the Economist provides a Big Mac Index that expresses the adjusted cost of a globally ubiquitous Big Mac as a percentage over or under the cost of a Big Mac in the U.S. in USD (estimated: $3.57). The least relatively expensive Big Mac price occurs in Hong Kong, at a 52% reduction from U.S. prices, or $1.71 U.S. Such indices can be used to help forecast currency values. From this example, it would be assumed that Hong Kong currency is undervalued, and provides a currency investment opportunity.
This video is targeted to blind users.
Attribution:
Article text available under CC-BY-SA
Creative Commons image source in video

Views: 1021
Audiopedia

An index (plural: usually indexes, see below) is a list of words or phrases ('headings') and associated pointers ('locators') to where useful material relating to that heading can be found in a document. In a traditional back-of-the-book index the headings will include names of people, places and events, and concepts selected by a person as being relevant and of interest to a possible reader of the book. The pointers are typically page numbers, paragraph numbers or section numbers. In a library catalog the words are authors, titles, subject headings, etc., and the pointers are call numbers. Internet search engines, such as Google, and full text searching help provide access to information but are not as selective as an index, as they provide non-relevant links, and may miss relevant information if it is not phrased in exactly the way they expect.
This video is targeted to blind users.
Attribution:
Article text available under CC-BY-SA
Creative Commons image source in video

Views: 62
Audiopedia

► Reg Link - https://goo.gl/usVDFj
✔Watch this quick tutorial video to learn the basics of index trading. Explore the simple fundamentals of indices and how to place trades in 90 seconds. The video transcript:
✔What are Indices? Today, we’re going to explain a little about what Indices are and how they work from a trading perspective.
✔The word “Indices” is the plural form of Index. Stock market indices measure the value of a selection of companies in the stock market. They can let investors see how a particular set of assets – based in a specific industry sector or a certain part of the world – is performing.
✔There are lots of different types of indices, which each use different formulas to calculate the index price.
✔Market value-weighted indices are the most common type; here, the bigger the company’s average return, the greater the influence it’ll have on the price of the index as a whole.
✔Price-weighted indices are based on the company's share price. Companies with high share prices have a larger amount of influence on price-weighted indices.
✔There’s a lot more to learn about Indices. So, if you’re interested, check out the Learning Center on Binary.com, where you can explore tons of educational resources.
✔Or if you’d like to jump right in, sign up for a virtual account at Binary.com, where you can start learning how to trade for free.
✔Hope you’ve enjoyed this short video on Indices from Binary.com. Sharp prices. Smart trading.
► Contact me - [email protected]

Views: 4
Wassa TM

You don't need to know how to speak Latin and Greek in order to understand English, but some words in English come from those languages. It's helpful to know how some Greek and Latin words change from singular to plural.
Practice this yourself on Khan Academy right now: https://www.khanacademy.org/humanities/grammar/partsofspeech/grammar-nouns/e/irregular-plural-nouns--foreign-plurals?utm_source=YT&utm_medium=Desc&utm_campaign=grammar
Watch the next lesson: https://www.khanacademy.org/humanities/grammar/partsofspeech/grammar-nouns/v/bonus-video-origin-of-the-mutant-plural-the-parts-of-speech-grammar?utm_source=YT&utm_medium=Desc&utm_campaign=grammar
Missed the previous lesson? https://www.khanacademy.org/humanities/grammar/partsofspeech/grammar-nouns/v/irregular-plural-nouns-part-iv-the-parts-of-speech-grammar?utm_source=YT&utm_medium=Desc&utm_campaign=grammar
Grammar on Khan Academy: Grammar is the collection of rules and conventions that make languages go. This section is about Standard American English, but there's something here for everyone.
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
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Subscribe to Khan Academy: https://www.youtube.com/subscription_center?add_user=khanacademy

Views: 295683
Khan Academy

Index (publishing)
An index plural: usually indexes, more rarely indices; see below is a list of words or phrases headings and associated pointers locators to where useful material relating to that heading can be found in a document or collection of documents Examples are an index in the back matter of a book and an index that serves as a library catalog In a traditional back-of-the-book index, the headings will include names of people, places, events, and concepts selected by a person the indexer as being relevant and of interest to a possible reader of the book The indexer may be the author, the editor, or a professional indexer working as a third party The pointers are typically page numbers, paragraph numbers or section numbers In a library catalog the words are authors, titles, subject headings, etc, and the pointers are call numbers Internet search engines, such as Google, and full text searching help provide access to information but are not as selective as an index, as they provide non-relevant links, and may miss relevant information if it is not phrased in exactly the way they expect1
P Index (publishing)
Click for more; https://www.turkaramamotoru.com/en/index-publishing-32805.html
There are excerpts from wikipedia on this article and video

Views: 26
Search Engine

In this video we have explained about table of content.
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A table of contents, usually headed simply Contents and abbreviated informally as TOC, is a list, usually found on a page before the start of a written work, of its chapter or section titles or brief descriptions with their commencing page numbers.
How to Add a Table of Contents in Word 2016
Format your document using heading styles found on the Home tab, e.g., Heading 1, Heading 2, and so on. ...
Place the cursor where you want the table of contents to appear (usually, the beginning of the document)
Click Table of Contents on the References Tab, and choose one of the types of tables of contents available.
Steps
Start a new page after the title page. The Table of Contents should appear after the title page in the document. ...
List the headings of the document in order. ...
Add subheadings if applicable. ...
Write page numbers for each heading. ...
Put the content in a table. ...
Title the Table of Contents.
The table of contents serves two purposes: It gives users an overview of the document's contents and organization. It allows readers to go directly to a specific section of an on-line document.
If it doesn't, follow these instructions.
In the References ribbon, choose Table of Contents, then choose Custom Table of Contents (or Insert Table of Contents in Word 2010).
Click on the Options button.
Your Appendix Heading style should show up in the Available Styles list. Assign it to TOC level 1.
Index (publishing) ... An index (plural: usually indexes, more rarely indices; see below) is a list of words or phrases ('headings') and associated pointers ('locators') to where useful material relating to that heading can be found in a document or collection of documents.
Table of Contents is the correct form. Leaving off the 's' is simply a typo or a mistake. The contents of something refer to what the thing contains, like the contents of a jar, or a book. You wouldn't say the 'content of a jar'.
And thanks friends as we are getting positive feedback from you. So please do like, share and subscribe our channel and comment in the comment box.

Views: 7
Digital Soft Hub

Learn how to say words in English correctly with Emma Saying free pronunciation tutorials. Over 140,000 words were already uploaded... Check them out!
Visit my homepage:
http://www.emmasaying.com

Views: 4346
Emma Saying

Visit the mkyou2tube website here: http://mkyou2tube.weebly.com/index.html
View the short sequel 'Son of Indices' at http://www.youtube.com/watch?v=c_UjLbU0ujs
Indices
Why do you have to be so hard to please?
Feel like I'm coming down with a disease
When I do a sum with indices...

Views: 24959
mkyou2tube

This video shows how to enter and evaluate radicals on the TI83/84. It also shows how to enter radicals enter the calculator using rational exponents.
mathispower4u.wordpress.com/

Views: 84220
Mathispower4u

Learn about arrays, strings, and sorting algorithms and how they work in the C programming language.
This course teaches the foundations of computer science. This video is lecture 2 of Harvard University's CS50 2018 course (part 3 since the lectures start at 0).
Check out our full CS50 playlist: https://www.youtube.com/playlist?list=PLWKjhJtqVAbmGw5fN5BQlwuug-8bDmabi
🔗Notes: https://cs50.harvard.edu/college/weeks/2/notes/
🔗Problem Set: https://cs50.harvard.edu/college/psets/2/
🔗Source Code: https://cdn.cs50.net/2018/fall/lectures/2/src2/
⭐️Contents⭐️
⌨️ (00:00:00) Introduction
⌨️ (00:00:54) Week 1 Recap
⌨️ (00:04:47) Preprocessing
⌨️ (00:07:05) Compiling
⌨️ (00:09:01) Assembling
⌨️ (00:09:29) Linking
⌨️ (00:12:36) buggy0.c
⌨️ (00:16:13) buggy2.c
⌨️ (00:25:14) Debugging Tools
⌨️ (00:26:02) RAM
⌨️ (00:29:11) Arrays
⌨️ (00:30:01) scores0.c
⌨️ (00:41:47) scores2.c
⌨️ (00:49:45) scores4.c
⌨️ (00:52:21) string0.c
⌨️ (01:00:42) Null Terminator
⌨️ (01:03:06) strlen.c
⌨️ (01:06:16) ascii0.c
⌨️ (01:09:39) capitalize0.c
⌨️ (01:12:23) capitalize1.c
⌨️ (01:16:38) argv0.c
⌨️ (01:21:25) argv1.c
⌨️ (01:24:52) Ciphering
⌨️ (01:33:15) exit.c
⌨️ (01:36:58) Finding 50
⌨️ (01:40:38) Sorting on Stage
⌨️ (01:50:27) Bubble Sort
⌨️ (01:51:34) Selection Sort
⌨️ (01:52:23) Computational Complexity
⌨️ (01:57:42) Merge Sort
⌨️ (02:04:29) Comparing Sorts Visually
Lecture taught by David J. Malan. Thanks to Harvard's CS50 for giving us permission to post this lecture. Checkout their YouTube channel for more great lectures: https://www.youtube.com/cs50
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://medium.freecodecamp.org
And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp

Views: 16494
freeCodeCamp.org

This lecture is part 1 of 3 lectures that discuss the topic of subject-verb agreement errors.

Views: 20
Thomas Kiddie

Hello English Learners!
Today I’m going to talk about another kind of irregular plural noun, and that is the foreign plural. Those are words that are borrowed into English from nearly every language with which it has come into contact and particularly for nouns from Latin, Greek, Hebrew, and French.
My You tube Channel link:
http://www.youtube.com/c/EnglishTweaks
My Facebook page link:
https://www.facebook.com/LearnEngilshwithKamal/
For more material on English Learning,
My Google+ link:
https://plus.google.com/u/0/+EnglishTweaks
For online classes : 9814474098

Views: 540
Learn English with Kamal

The Point of Views: Multidimensional Index Sets for Data Locality in HPC Applications
http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2017
—
In High Performance Computing, data access has complex implications and requires concepts that are fundamentally different from those provided in the STL.
Iterators as we know them just are not enough.
The proposed range concepts for the standard library are a significant improvement but are designed for the mental model of iterating and mapping values, not hierarchical domain decomposition.
Even for a seemingly trivial array there are countless ways to partition and store its elements in distributed memory, and algorithms are required to behave and scale identically for all of them. It also does not help that most applications operate on multidimensional data structures where efficient access to neighborhood regions is crucial. Among HPC developers, it is therefore widely accepted that canonical iteration space and physical memory layout must be specified as separate concepts.
For this, we use views based on multidimensional index sets, inspired by the proposed range concepts.
In this session, we will explain the challenges when distributing container elements for thousands of cores and how modern C++ allows to achieve portable efficiency.
As an HPC afficionado, you know you want this:
copy( matrix_a | local() | block({ 2,3 }), matrix_b | block({ 4,5 }) )
If this does not look familiar to you: we give a gentle introduction to High Performance Computing along the way.
—
Tobias Fuchs: LMU Munich, Leibniz Supercomputing Centre, Research Associate
Tobi is a freelancer in embedded systems and real-time applications for over 10 years, mostly for medical devices, and went back to academia for PhD studies in High Performance Computing at LMU Munich.
He is the lead developer of the DASH C++ template library, a project of the German Research Foundation (DFG), and currently focuses on models and programming abstractions for data locality.
As a hobby, he lures unsuspecting students into his C++ programming course to entrap them in category theory.
—
Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

Views: 3731
CppCon

Google makes it simple to find the information you need, but there are strategies for finding higher quality sources even more easily. Learn the basics of predictive search, a method for drawing on what you know about what you need to find it faster, including successful word choice and using the filters on the left-hand side of the screen to uncover information you never dreamed was possible.
Presented October 7, 2011.

Views: 31731
Google Videos

Charles Petzold shows you how to build a 3D app from the ground up with UrhoSharp and Xamarin Workbooks. UrhoSharp is a powerful, high performance 3D graphics engine suitable for games, animation, and data visualization. UrhoSharp and Xamarin Workbooks give developers a streamlined way to get started with 3D graphics programming quickly.
Regardless whether you're using UrhoSharp to target Android, iOS, macOS, Xamarin.Forms, or Windows, you can use Workbooks to develop and perfect your UrhoSharp code. The Workbooks approach brings an interactive immediacy to 3D graphics that inspires experimentation, exploration, and discovery.
Along the way he’ll reveal techniques for:
• Algorithmically deriving 3D vertices
• Using vectors and cross products to build surfaces
• Applying transforms and textures
• Importing predefined 3D models
• Animating everything
Explore Xamarin University at https://www.xamarin.com/university

Views: 4968
Xamarin

Searching content across multiple database tables and columns doesn't have to suck. Thanks to Postgres, rolling your own search isn't difficult. Following an actual feature evolution I worked on for a client, we will start with a search feature that queries a single column with LIKE and build up to a SQL-heavy solution for finding results across multiple columns and tables using database views. We will look at optimizing the query time and why this could be a better solution over introducing extra dependencies which clutter your code and need to be stubbed in tests.

Views: 1906
Confreaks

In this video tutorial we will show you how to create a table of contents in Powerpoint.
Don't forget to check out our site http://howtech.tv/ for more free how-to videos!
http://youtube.com/ithowtovids - our feed
http://www.facebook.com/howtechtv - join us on facebook
https://plus.google.com/103440382717658277879 - our group in Google+
It's an unfortunately reality that sometimes in a software update a useful feature is removed, this was the case with the table of contents feature in Powerpoint 2010. This tutorial will show you another way to create a table of contents in PowerPoint.
Step # 1 -- Creating the Contents Page Slide
Open the presentation that you want to add the table of contents to. Here we have a very simple four slide sample presentation. In the slide overview panel on the left click in between the first and second slide and click the dropdown part of the "New Slide" icon in the "Home" tab, choose the "Title and Content" option.
Step # 2 -- Pasting the Titles Into the Contents Slide
On the new slide enter a title, such as "Presentation Overview". Now, using the slide navigation pane click on the next slide and copy its title, navigate back to the contents slide and paste the title into the body of the presentation. Repeat this procedure for all the other slides in the presentation, placing each slide title onto a new line in the contents slide. That is how to create a table of contents in PowerPoint 2010.

Views: 160970
Excel, Word and PowerPoint Tutorials from Howtech

This is the final episode of my FM Modulation/Demodulation series. Using the Python programming language, you will learn how to decode information from a sinusoid’s varying frequency using a process called FM Demodulation.
The previous videos can be watched here
Part 1: https://youtu.be/wdG0qnKNpa8
Part 2: https://youtu.be/1xNT5T5ghjw
I wanted to keep this as simple as possible, so there are limitations to the algorithm used. If you want to know more about these limitations, check out my notes:
https://drive.google.com/file/d/1zOJbvTzFpjoVTxgAszE_GuB0T8BDXhFY/view?usp=sharing
This is how I derived the equation for decoding Ym from Yc
https://drive.google.com/file/d/1yHqWK4sTe0NMi__iNQwg00NA7HW0OaBM/view?usp=sharing
The code from this video is available on my Github account
https://github.com/davehelmuth/FM-Modulation-Demodulation/blob/master/FMsimulate.py

Views: 621
David Helmuth

Views: 334
David Miller

Tlön, Uqbar, Orbis Tertius by Jorge Luis Borges. Translated by Emece Editores, S.A. Narrated by Joseph Voelbel.
This recording contains the occasional sound of the passing of automobiles. I like to imagine that they are a bustling city, just outside Borges' apartment window, on a temperate afternoon, while he narrates his most recently completed work to a group of a like-minded bibliophiles in some mid 20th century Buenos Aires, caught in amber.
It appears, or at least according to my limited research it appears, that this is the first narration of Tlön, Uqbar, Orbis Tertius in English. I did find versions in French and Spanish.
I must confess, due to the author's scrupulous preservation of detail, that in the ante-penultimate (third to las†) paragraph of the story, I pronounced the homonym 'minute' as if it were in reference to time, when in fact in was meant to be pronounced in relation to size. A simple yet ghastly oversight.
Lastly, I might add, somewhat poetically, in the spirit of the last paragraph before the postscript (which was intended to be anachronistic, set seven years into the then future), which went: "Things become duplicated in Tlön; they also tend to become effaced and lose their details when they are forgotten. A classic example is the doorway which survived so long as it was visited by a beggar and disappeared at his death. At times some birds, a horse, have saved the ruins of an amphitheater." Is that by remembering and narrating this story, I hope, in some small way, to preserve the architecture of one of the greatest literary metagrobologists to ever grace a pen.
P.S. This is AUDIO ONLY, so put on your screen savor and sweep your apartment, or doodle, you don't need to stare at the screen. Plus, a story like this, that goes this long, takes a certain contemplative demeanor. It's a moment to pause and reflect in life, maybe while doing something tedious, like paying bills or organizing a file cabinet.
*Correction, volumes 56 and 57

Views: 23519
Joseph Voelbel

[Talk at CocoaHeads Rennes In French; subtitles available in English and French]
Xcode, c'est très puissant, mais devoir recompiler, charger et relancer son application à chaque fois qu'on fait une modification dans le code, ça devient vite fastidieux. Si les changements dans le code pouvaient s'appliquer en temps réel dans l'application, on gagnerait pas mal de temps qu'on pourrait consacrer à expérimenter des idées nouvelles et à améliorer nos apps. Un rêve ? Plus vraiment.
Celedev, une startup rennaise, a développé un environnement de développement pour iOS entièrement conçu autour de cette idée de Programmation Responsive. Jean-Luc Jumpertz (créateur de Celedev) est venu nous présenter cet outil et nous faire une petite démo.
Pour en savoir plus:
- le site de Celedev: http://www.celedev.com/fr
- la session #14 des CocoaHeads Rennes: http://cocoaheads.fr/2013/11/slides-rennes-14-programmation-responsive-et-ios7-controllers-transitions/

Views: 114
Celedev

Views: 6783
Talks at Google

This is an audio version of the Wikipedia Article:
Islamic banking and finance
Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.
Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain
Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.
You can find other Wikipedia audio articles too at:
https://www.youtube.com/channel/UCuKfABj2eGyjH3ntPxp4YeQ
You can upload your own Wikipedia articles through:
https://github.com/nodef/wikipedia-tts
"The only true wisdom is in knowing you know nothing."
- Socrates
SUMMARY
=======
Islamic banking or Islamic finance (Arabic: مصرفية إسلامية) or sharia-compliant finance is banking or financing activity that complies with sharia (Islamic law) and its practical application through the development of Islamic economics. Some of the modes of Islamic banking/finance include Mudarabah (profit-sharing and loss-bearing), Wadiah (safekeeping), Musharaka (joint venture), Murabahah (cost-plus), and Ijara (leasing).
Sharia prohibits riba, or usury, defined as interest paid on all loans of money (although some Muslims dispute whether there is a consensus that interest is equivalent to riba). Investment in businesses that provide goods or services considered contrary to Islamic principles (e.g. pork or alcohol) is also haraam ("sinful and prohibited").
These prohibitions have been applied historically in varying degrees in Muslim countries/communities to prevent un-Islamic practices. In the late 20th century, as part of the revival of Islamic identity, a number of Islamic banks formed to apply these principles to private or semi-private commercial institutions within the Muslim community. Their number and size has grown, so that by 2009, there were over 300 banks and 250 mutual funds around the world complying with Islamic principles, and around $2 trillion was sharia-compliant by 2014. Sharia-compliant financial institutions represented approximately 1% of total world assets, concentrated in the Gulf Cooperation Council (GCC) countries, Iran, and Malaysia. Although Islamic banking still makes up only a fraction of the banking assets of Muslims, since its inception it has been growing faster than banking assets as a whole, and is projected to continue to do so.The industry has been lauded for returning to the path of "divine guidance" in rejecting the "political and economic dominance" of the West, and noted as the "most visible mark" of Islamic revivalism, its most enthusiastic advocates promise "no inflation, no unemployment, no exploitation and no poverty" once it is fully implemented. However, it has also been criticized for failing to develop profit and loss sharing or more ethical modes of investment promised by early promoters, and instead selling banking products that "comply with the formal requirements of Islamic law", but use "ruses and subterfuges to conceal interest", and entail "higher costs, bigger risks" than conventional (ribawi) banks.

Views: 54
wikipedia tts

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Matrix_(mathematics)
00:04:07 1 Definition
00:05:09 1.1 Size
00:06:01 2 Notation
00:09:53 3 Basic operations
00:10:30 3.1 Addition, scalar multiplication and transposition
00:10:48 3.2 Matrix multiplication
00:11:12 3.3 Row operations
00:11:24 3.4 Submatrix
00:12:20 4 Linear equations
00:12:42 5 Linear transformations
00:13:13 6 Square matrix
00:13:27 6.1 Main types
00:13:30 6.1.1 Diagonal and triangular matrix
00:16:29 6.1.2 Identity matrix
00:18:19 6.1.3 Symmetric or skew-symmetric matrix
00:18:51 6.1.4 Invertible matrix and its inverse
00:20:38 6.1.5 Definite matrix
00:23:04 6.1.6 Orthogonal matrix
00:25:23 6.2 Main operations
00:25:34 6.2.1 Trace
00:26:13 6.2.2 Determinant
00:26:46 6.2.3 Eigenvalues and eigenvectors
00:26:55 7 Computational aspects
00:27:23 8 Decomposition
00:28:55 9 Abstract algebraic aspects and generalizations
00:29:23 9.1 Matrices with more general entries
00:29:37 9.2 Relationship to linear maps
00:30:33 9.3 Matrix groups
00:30:49 9.4 Infinite matrices
00:31:12 9.5 Empty matrices
00:32:22 10 Applications
00:32:26 10.1 Graph theory
00:33:41 10.2 Analysis and geometry
00:34:38 10.3 Probability theory and statistics
00:34:46 10.4 Symmetries and transformations in physics
00:36:25 10.5 Linear combinations of quantum states
00:36:28 10.6 Normal modes
00:37:26 10.7 Geometrical optics
00:38:30 10.8 Electronics
00:39:29 11 History
00:39:59 11.1 Other historical usages of the word "matrix" in mathematics
00:42:04 12 See also
00:42:44 13 Notes
00:44:49 14 References
00:45:06 14.1 Physics references
00:45:37 14.2 Historical references
00:45:49 15 External links
00:46:40 Matrices with more general entries
00:48:31 1) associative algebra over R. The determinant of square matrices over a commutative ring R can still be defined using the Leibniz formula; such a matrix is invertible if and only if its determinant is invertible in R, generalising the situation over a field F, where every nonzero element is invertible. Matrices over superrings are called supermatrices.Matrices do not always have all their entries in the same ring – or even in any ring at all. One special but common case is block matrices, which may be considered as matrices whose entries themselves are matrices. The entries need not be square matrices, and thus need not be members of any ring; but their sizes must fulfil certain compatibility conditions.
00:49:15 Relationship to linear maps
00:49:25 Linear maps Rn → Rm are equivalent to m-by-n matrices, as described above. More generally, any linear map f: V → W between finite-dimensional vector spaces can be described by a matrix A
00:51:37 m composition of these maps is possible, and this gives rise to the matrix ring of n×n matrices representing the endomorphism ring of Rn.
00:51:49 Matrix groups
00:53:18 Infinite matrices
00:57:16 Empty matrices
00:58:17 Applications
01:00:13 Graph theory
01:01:06 Analysis and geometry
01:03:52 Probability theory and statistics
01:05:08 1, …, Nwhich can be formulated in terms of matrices, related to the singular value decomposition of matrices.Random matrices are matrices whose entries are random numbers, subject to suitable probability distributions, such as matrix normal distribution. Beyond probability theory, they are applied in domains ranging from number theory to physics.
01:05:31 Symmetries and transformations in physics
01:05:42 Linear transformations and the associated symmetries play a key role in modern physics. For example, elementary particles in quantum field theory are classified as representations of the Lorentz group of special relativity and, more specifically, by their behavior under the spin group. Concrete representations involving the Pauli matrices and more general gamma matrices are an integral part of the physical description of fermions, which behave as spinors. For the three lightest quarks, there is a group-theoretical representation involving the special unitary group SU(3); for their calculations, physicists use a convenient matrix representation known as the Gell-Mann matrices, which are also used for the SU(3) gauge group that forms the basis of the modern description of strong nuclear interactions, quantum chromodynamics. The Cabibbo–Kobayashi–Maskawa matrix, in turn, expresses the fact that the basic quark states that are important for weak interactions are not the same as, but linearly related to the basic quark states that define particles with specific and distinct masses.
01:06:47 Linear combinations of quantum states
01:06:58 The first model of quantum mechanics (Heisenberg, 1925) represented the theory's operators by infinite-dimensional matrices acting on quantum states. This is also referred to as matrix mechanics. One particular example is the density matrix that characterizes the "mixed" state of a quantum system as a linear combination of elementary, "pure" eigenstates.Another matrix serves as a k ...

Views: 7
wikipedia tts

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Matrix_(mathematics)
00:04:39 1 Definition
00:05:49 1.1 Size
00:06:48 2 Notation
00:11:06 3 Basic operations
00:11:48 3.1 Addition, scalar multiplication and transposition
00:12:07 3.2 Matrix multiplication
00:12:34 3.3 Row operations
00:12:47 3.4 Submatrix
00:13:50 4 Linear equations
00:14:15 5 Linear transformations
00:14:49 6 Square matrix
00:15:04 6.1 Main types
00:15:07 6.1.1 Diagonal and triangular matrix
00:18:33 6.1.2 Identity matrix
00:20:36 6.1.3 Symmetric or skew-symmetric matrix
00:21:11 6.1.4 Invertible matrix and its inverse
00:23:14 6.1.5 Definite matrix
00:26:00 6.1.6 Orthogonal matrix
00:28:37 6.2 Main operations
00:28:49 6.2.1 Trace
00:29:32 6.2.2 Determinant
00:30:09 6.2.3 Eigenvalues and eigenvectors
00:30:19 7 Computational aspects
00:30:50 8 Decomposition
00:32:33 9 Abstract algebraic aspects and generalizations
00:33:03 9.1 Matrices with more general entries
00:33:19 9.2 Relationship to linear maps
00:34:21 9.3 Matrix groups
00:34:40 9.4 Infinite matrices
00:35:04 9.5 Empty matrices
00:36:24 10 Applications
00:36:28 10.1 Graph theory
00:37:53 10.2 Analysis and geometry
00:38:56 10.3 Probability theory and statistics
00:39:05 10.4 Symmetries and transformations in physics
00:40:53 10.5 Linear combinations of quantum states
00:40:57 10.6 Normal modes
00:42:02 10.7 Geometrical optics
00:43:15 10.8 Electronics
00:44:21 11 History
00:44:55 11.1 Other historical usages of the word "matrix" in mathematics
00:47:16 12 See also
00:48:01 13 Notes
00:50:24 14 References
00:50:42 14.1 Physics references
00:51:17 14.2 Historical references
00:51:31 15 External links
00:52:29 Matrices with more general entries
00:54:34 1) associative algebra over R. The determinant of square matrices over a commutative ring R can still be defined using the Leibniz formula; such a matrix is invertible if and only if its determinant is invertible in R, generalising the situation over a field F, where every nonzero element is invertible. Matrices over superrings are called supermatrices.Matrices do not always have all their entries in the same ring – or even in any ring at all. One special but common case is block matrices, which may be considered as matrices whose entries themselves are matrices. The entries need not be square matrices, and thus need not be members of any ring; but their sizes must fulfil certain compatibility conditions.
00:55:24 Relationship to linear maps
00:55:35 Linear maps Rn → Rm are equivalent to m-by-n matrices, as described above. More generally, any linear map f: V → W between finite-dimensional vector spaces can be described by a matrix A
00:58:02 m composition of these maps is possible, and this gives rise to the matrix ring of n×n matrices representing the endomorphism ring of Rn.
00:58:15 Matrix groups
00:59:55 Infinite matrices
01:04:24 Empty matrices
01:05:34 Applications
01:07:44 Graph theory
01:08:44 Analysis and geometry
01:11:51 Probability theory and statistics
01:13:16 1, …, Nwhich can be formulated in terms of matrices, related to the singular value decomposition of matrices.Random matrices are matrices whose entries are random numbers, subject to suitable probability distributions, such as matrix normal distribution. Beyond probability theory, they are applied in domains ranging from number theory to physics.
01:13:42 Symmetries and transformations in physics
01:13:54 Linear transformations and the associated symmetries play a key role in modern physics. For example, elementary particles in quantum field theory are classified as representations of the Lorentz group of special relativity and, more specifically, by their behavior under the spin group. Concrete representations involving the Pauli matrices and more general gamma matrices are an integral part of the physical description of fermions, which behave as spinors. For the three lightest quarks, there is a group-theoretical representation involving the special unitary group SU(3); for their calculations, physicists use a convenient matrix representation known as the Gell-Mann matrices, which are also used for the SU(3) gauge group that forms the basis of the modern description of strong nuclear interactions, quantum chromodynamics. The Cabibbo–Kobayashi–Maskawa matrix, in turn, expresses the fact that the basic quark states that are important for weak interactions are not the same as, but linearly related to the basic quark states that define particles with specific and distinct masses.
01:15:08 Linear combinations of quantum states
01:15:19 The first model of quantum mechanics (Heisenberg, 1925) represented the theory's operators by infinite-dimensional matrices acting on quantum states. This is also referred to as matrix mechanics. One particular example is the density matrix that characterizes the "mixed" state of a quantum system as a linear combination of elementary, "pure" eigenstates.Another matrix serves as a k ...

Views: 5
wikipedia tts

Views: 37106
CS50