Lookup Quotes

The last time she was up here, she had been... staring up at the sky and dreaming of stars. Now, she looked down and plotted flames.

Look up, always. Look back, never.

Stars don’t beg the world for attention; their beauty forces us to look up.

Two friends raised their heads up to the sky on a dark evening. -Look at the stars. --Let us make a wish. They each took a moment of silence. -What did you wish for? --For you to have peace with your wish.

… and now and then we could look up and give each other a thought, because I think he could have beautiful thoughts, and we could just let each other be less lonely in our loneliness.

Learn to look up now and then, just in case a piano is falling from overhead.

Every time it feels like the world is out of control, all I have to do is look up, and I remember there is an order to everything. There is someone bigger than my problems, bigger than the Mist, bigger than anything that can happen in this world. And because of that, I can breathe a sigh of relief.

How do I deal with people who look down on me? I look up at them.

Never look down upon yourself, for you never know how many people look up to you.

I suppose that's the secret. If you're ever wishing for things to go back to the way they were, you just have to look up.

Don’t search for something grand, as your values might be hidden behind something that you discard as ordinary.

Look upward to your God for direction! Look inward into yourself and discover your talents! Look outward into your environment and get helped! Stop looking at one direction!

Become the person your younger self would want to look up to

If you cannot see the rainbow because your face is down, don't argue that no rainbow is up there. Lift up your passion and take your dreams off the ground!

There’s always a reason to look up.

Stars don’t beg the world for attention; their beauty forces us to look up.

Consider an AI that has hedonism as its final goal, and which would therefore like to tile the universe with “hedonium” (matter organized in a configuration that is optimal for the generation of pleasurable experience). To this end, the AI might produce computronium (matter organized in a configuration that is optimal for computation) and use it to implement digital minds in states of euphoria. In order to maximize efficiency, the AI omits from the implementation any mental faculties that are not essential for the experience of pleasure, and exploits any computational shortcuts that according to its definition of pleasure do not vitiate the generation of pleasure. For instance, the AI might confine its simulation to reward circuitry, eliding faculties such as a memory, sensory perception, executive function, and language; it might simulate minds at a relatively coarse-grained level of functionality, omitting lower-level neuronal processes; it might replace commonly repeated computations with calls to a lookup table; or it might put in place some arrangement whereby multiple minds would share most parts of their underlying computational machinery (their “supervenience bases” in philosophical parlance). Such tricks could greatly increase the quantity of pleasure producible with a given amount of resources.

Why is it when we were kids we looked up at the stars... But now they seem to be looking down on us...?

Great leaders never look down upon those who look up to them.

Look up. Your answer is never going to be in the bottom of a glass.

Now and again I go out at night and watch for meteors. The stars are a free show; it don't cost anything to use your eyes.

What is it about the Heavens that draws us to look up? For generations, centuries, (millennia?) it seems we are drawn to look up for answers, comfort in times of despair, with pleas for help, when we are in need of grace, and to give thanks.

Don’t we all look up at the same stars?

There is always a reason to look up.

Look up more than you look around.

Bad stuff does happen sometimes, always remember that but remember that you have to move on somehow. You just pick your head up and stare at something beautiful like the sky or the ocean and you move the hell on.

I used to lie here like this all summer long,” I tell her. “I’d come up here and just stare at the sky.” She rolls over on her back so she’s staring up as well. “Bet this view hasn’t changed much, has it?” What she says is so simple I almost laugh. She’s right, of course. “No. This looks exactly the same.” I suppose that’s the secret, if you’re ever wishing for things to go back to the way they were. You just have to look up.

BIG THINKERS OFTEN DO BIG THINGS. SMALL THINKERS NEVER DO BIG THINGS.

Fan would have expected that one or two of the Girls would have long rebelled at spending a life in a room, would have begged, say, the dentist, to help them steal away, but the funny thing about this existence is that once firmly settled we occupy it with less guard than we know. We watch ourselves routinely brushing our teeth, or coloring the wall, or blowing off the burn from a steaming yarn of soup noodles, and for every moment there is a companion moment that elides onto it, a secret span that deepens the original’s stamp. We feel ever obliged by everyday charges and tasks. They conscript us more and more. We find world enough in a frame. Until at last we take our places at the wheel, or wall, or line, having somewhere forgotten that we can look up.

Click, hum, click, hum, click, hum. Click, click, click, click, click, hum. Hmmm. A low-level supervising program woke up a slightly higher-level supervising program deep in the ship’s semisomnolent cyberbrain and reported to it that whenever it went click all it got was a hum. The higher-level supervising program asked it what it was supposed to get, and the low-level supervising program said that it couldn’t remember what it was meant to get, exactly, but thought it was probably more of a sort of distant satisfied sigh, wasn’t it? It didn’t know what this hum was. Click, hum, click, hum. That was all it was getting. The higher-level supervising program considered this and didn’t like it. It asked the low-level supervising program what exactly it was supervising and the low-level supervising program said it couldn’t remember that either, just that it was something that was meant to go click, sigh every ten years or so, which usually happened without fail. It had tried to consult its error look-up table but couldn’t find it, which was why it had alerted the higher-level supervising program of the problem. The higher-level supervising program went to consult one of its own look-up tables to find out what the low-level supervising program was meant to be supervising. It couldn’t find the look-up table. Odd. It looked again. All it got was an error message. It tried to look up the error message in its error message look-up table and couldn’t find that either. It allowed a couple of nanoseconds to go by while it went through all this again. Then it woke up its sector function supervisor. The sector function supervisor hit immediate problems. It called its supervising agent, which hit problems too. Within a few millionths of a second virtual circuits that had lain dormant, some for years, some for centuries, were flaring into life throughout the ship. Something, somewhere, had gone terribly wrong, but none of the supervising programs could tell what it was. At every level, vital instructions were missing, and the instructions about what to do in the event of discovering that vital instructions were missing, were also missing. Small modules of software—agents—surged through the logical pathways, grouping, consulting, regrouping. They quickly established that the ship’s memory, all the way back to its central mission module, was in tatters. No amount of interrogation could determine what it was that had happened. Even the central mission module itself seemed to be damaged. This made the whole problem very simple to deal with, in fact. Replace the central mission module. There was another one, a backup, an exact duplicate of the original. It had to be physically replaced because, for safety reasons, there was no link whatsoever between the original and its backup. Once the central mission module was replaced it could itself supervise the reconstruction of the rest of the system in every detail, and all would be well.

the selected word is also an X-Ray topic, Smart Lookup will display the X-Ray tab. For more information, see

Dictionary Your Kindle includes one or more dictionaries for each supported language. After you have successfully registered your Kindle, all of your dictionaries will be available in the Dictionaries collection either on the Home screen or in the Cloud. Available dictionaries will differ depending on the language you select. To change your default dictionary: On the Home screen, tap the Menu button and select Settings. On the Settings page, select Device Options and then Language and Dictionaries. Select the Dictionaries option. The currently selected dictionary displays below the dictionary language. An arrow to the right of the language indicates that there are multiple dictionary options for that language. Tap the dictionary language to view all of the available dictionaries for that language. Use the radio buttons to select the dictionary that you want to use, and then tap the OK button. To look up the definition of a word while reading, press and hold to select the word. A dialog box displays with the definition of the word. The Smart Lookup feature integrates a full dictionary with X-Ray and Wikipedia so you can access definitions, characters, settings, and more without leaving your page. If the selected word is also an X-Ray topic, Smart Lookup will display the X-Ray tab. For more information, see X-Ray.

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final step of the ETL process is the physical structuring and loading of data into the presentation area's target dimensional models. Because the primary mission of the ETL system is to hand off the dimension and fact tables in the delivery step, these subsystems are critical. Many of these defined subsystems focus on dimension table processing, such as surrogate key assignments, code lookups to provide appropriate descriptions, splitting, or combining columns to present the appropriate data values, or joining underlying third normal form table structures into flattened denormalized dimensions. In contrast, fact tables are typically large and time consuming to load, but preparing them for the presentation area is typically straightforward. When the dimension and fact tables in a dimensional model have been updated, indexed, supplied with appropriate aggregates, and further quality assured, the business community is notified that the new data has been published.

When running a Python program, the interpreter spends most of its time figuring out what low-level operation to perform, and extracting the data to give to this low-level operation. Given Python’s design and flexibility, the Python interpreter always has to determine the low-level operation in a completely general way, because a variable can have any type at any time. This is known as dynamic dispatch, and for many reasons, fully general dynamic dispatch is slow.[5] For example, consider what happens when the Python runtime evaluates a + b: The interpreter inspects the Python object referred to by a for its type, which requires at least one pointer lookup at the C level. The interpreter asks the type for an implementation of the addition method, which may require one or more additional pointer lookups and internal function calls. If the method in question is found, the interpreter then has an actual function it can call, implemented either in Python or in C. The interpreter calls the addition function and passes in a and b as arguments. The addition function extracts the necessary internal data from a and b, which may require several more pointer lookups and conversions from Python types to C types. If successful, only then can it perform the actual operation that adds a and b together. The result then must be placed inside a (perhaps new) Python object and returned. Only then is the operation complete. The situation for C is very different. Because C is compiled and statically typed, the C compiler can determine at compile time what low-level operations to perform and what low-level data to pass as arguments. At runtime, a compiled C program skips nearly all steps that the Python interpreter must perform. For something like a + b with a and b both being fundamental numeric types, the compiler generates a handful of machine code instructions to load the data into registers, add them, and store the result.

When last did u sit back and took an opportunity to lookup and thank the Heavens above for blessing you with what you have and continuing to open doors for you every time you knock "and sometimes letting you in through the window" because not all doors are as beautiful on the inside as they are on the inside

test3 defines the sin function as a keyword argument, with its default value being a reference to the sin function within the math module. While we still do need to find a reference to this function within the module, this is only necessary when the test3 function is first defined. After this, the reference to the sin function is stored within the function definition as a local variable in the form of a default keyword argument. As mentioned previously, local variables do not need a dictionary lookup to be found; they are stored in a very slim array that has very fast lookup times. Because of this, finding the function is quite fast! While these effects are an interesting result of the way namespaces in Python are managed, test3 is definitely not “Pythonic.” Luckily, these extra dictionary lookups only start to degrade performance when they are called a lot (i.e., in the innermost block of a very fast loop, such as in the Julia set example). With this in mind, a more readable solution would be to set a local variable with the global reference before the loop is started. We’ll still have to do the global lookup once whenever the function is called, but all the calls to that function in the loop will be made faster. This speaks to the fact that even minute slowdowns in code can be amplified if that code is being run millions of times. Even though a dictionary lookup may only take several hundred nanoseconds, if we are looping millions of times over this lookup it can quickly add up. In fact, looking at Example 4-10 we see a 9.4% speedup simply by making the sin function local to the tight loop that calls it.

The reality is your bosses or clients never ask for fastest spreadsheets. They ask for most usable, accurate and simple ones.

Excel is a vehicle, not a destination

Justification is not the forgiveness of a man without righteousness, but a declaration that he possesses a righteousness which perfectly and for ever satisfies the law, namely, Christ's righteousness (2 Cor. 5:21; Rom. 4:6-8).

Use the radio buttons to select the dictionary that you want to use, then tap the OK button. To look up the definition of a word while reading, press and hold to select the word. A dialog box displays the definition of the word. You can change your dictionary by tapping on the name of the current dictionary in the dialog box. An option to select a new dictionary will display. The Smart Lookup feature integrates a full dictionary

Look up, Look up.

Peyton Jones: Sometimes to say that it's obviously right doesn't mean that you can see that it's right without any mental scaffolding. It may be that you need to be told an insight to figure out why it's right. If you look at the code for an AVL tree, if you didn't know what it was trying to achieve, you really wouldn't have a clue why those rotations were taking place. But once you know the invariant that it's maintaining, you can see, ah, if we maintain that invariant then we'll get log lookup time. And then you look at each line of code and you say, “Ah, yes, it maintains the invariant.” So the invariant is the thing that gave you the insight to say, “Oh, it's obviously right.” I agree completely that just looking at the bare code may not be enough. And it's not a characteristic, I think, of beautiful code, that you should be able to just look at the bare code and see why it's right. You may need to be told why. But after you have that, now with that viewpoint, that invariant, that understanding of what's going on, you can see, oh yeah, that's right.

Seibel: What's your desert-island list of books for programmers? Peyton Jones: Well, you should definitely read Jon Bentley's Programming Pearls. Speaking of pearls, Brian Hayes has a lovely chapter in this book Beautiful Code entitled, “Writing Programs for ‘The Book’” where I think by “The Book” he means a program that will have eternal beauty. You've got two points and a third point and you have to find which side of the line between the two points this third point is on. And several solutions don't work very well. But then there's a very simple solution that just does it right. Of course, Don Knuth's series, The Art of Computer Programming. I don't think it was ever anything I read straight through; it's not that kind of book. I certainly referred to it a lot at one stage. Chris Okasaki's book Purely Functional Data Structures. Fantastic. It's like Arthur Norman's course only spread out to a whole book. It's about how you can do queues and lookup tables and heaps without any side effects but with good complexity bounds. Really, really nice book. Everyone should read this. It's also quite short and accessible as well. Structure and Interpretation of Computer Programs. Abelson and Sussman. I loved that. And Compiling with Continuations, Andrew Appel's book about how to compile a functional program using continuation passing style. Also wonderful. Books that were important to me but I haven't read for a long time: A Discipline of Programming by Dijkstra. Dijkstra is very careful about writing beautiful programs. These ones are completely imperative but they have the “Hoare property” of rather than having no obvious bugs they obviously have no bugs. And it gives very nice, elegant reasoning to reason about it. That's a book that introduced me for the first time to reasoning about programs in a pretty watertight way. Another book that at the time made a huge impression on me was Per Brinch Hansen's book about writing concurrent operating systems. I read it lots of times.

Look up, Look up

Great leaders do not look down upon those who look up to them.

The more desired relationship is one of respect and trust. If so, this change can start with a change of attitude. If you observe Self 1, in its critical posture, it looks down at Self 2 and diminishes it (in its own eyes) with its disparaging thoughts. The other possibility is to learn to look up to Self 2. This is the attitude of respect based on true recognition of its natural intelligence and capabilities. Another word for this attitude is humility, a feeling that happens naturally in the presence of something or someone you admire. As you find your way to an attitude that slopes upward toward Self 2 with respect, the feelings and thoughts that accompany the controlling and critical attitude fade and the sincerity of Self 2 emerges. With an attitude of respect, you learn to speak in the language of the respected person.

Look up to you Lord always.

Look up to the Lord always.

The methods I’ve described can be used to implement any function that stays constant in time, but a more interesting class of functions are those that involve sequences in time. To handle such functions, we use a device called a finite-state machine. Finite-state machines can be used to implement time-varying functions—functions that depend not just on the current input but also on the previous history of inputs. Once you learn to recognize a finite-state machine, you’ll notice them everywhere—in combination locks, ballpoint pens, even legal contracts. The basic idea of a finite-state machine is to combine a look-up table, constructed using Boolean logic, with a memory device. The memory is used to store a summary of the past, which is the state of the finite-state machine.

isolate little snippets of sound called phonemes, and they associate multiple keywords with each one. You end up with a database of little digital fragments of sound, each one distinctive. When you want to make the voice speak, you feed another script into the cloning system, and the algorithms do a keyword lookup and

Dear Daughter, When things do not go right, look upon the One seated at the right hand of the Father. He knows how to make things right.

Pessimism doesn’t serve you. It’s never served me.

You should have one lookup table for each “object” that you need for reporting purposes. For example, in the data being used here, these objects are customers, products, territories, and time (i.e., calendar). A key feature of a lookup table is that it contains one and only one row for each individual item in the table, and it has as many columns as needed to describe the object.

There is more than enough hope in the night sky than you can find in your troubles.

Each operation contributes to AES’s security in a specific way: * Without KeyExpansion, all rounds would use the same key, K, and AES would be vulnerable to slide attacks. * Without AddRoundKey, encryption wouldn’t depend on the key; hence, anyone could decrypt any ciphertext without the key. * SubBytes brings nonlinear operations, which add cryptographic strength. Without it, AES would just be a large system of linear equations that is solvable using high-school algebra. * Without ShiftRows, changes in a given column would never affect the other columns, meaning you could break AES by building four 232 element codebooks for each column. (Remember that in a secure block cipher, flipping a bit in the input should affect all the output bits.) * Without MixColumns, changes in a byte would not affect any other bytes of the state. A chosen-plaintext attacker could then decrypt any ciphertext after storing 16 lookup tables of 256 bytes each that hold the encrypted values of each possible value of a byte.

You’ve gotten rid of the person you used to be and the life you used to live, 10  and you’ve become a new person. This new person is continually renewed in knowledge to be like its Creator.

The Map data structure gives efficient key lookup, and the sorted nature provides efficient scans. RowKey is a unique key and can hold a value. The inner SortedMap data structure allows a variable number of ColumnKey values. This is the trick that Cassandra uses to be schemaless and to allow the data model to evolve organically over time. It should be noted that each column has a client-supplied timestamp associated, but it can be ignored during data modeling. Cassandra uses the timestamp internally to resolve transaction conflicts.

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* Never memorize something that you can look up. - Albert Einstein * One should always memorize before whatever one wants to look up since it waves action for that and works efficiently: As a fact, the lookup cannot prevail mind power. - Ehsan Sehgal

What's all this about? How does it work? What should I do? What am I for?

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Nov. 21 Colossians 3:1–4:18