Found inside – Page 88Generator Comprehensions Tuples do not have comprehensions! ... And it would appear to work because there's no exception if you type this: >>> number_thing ... Found inside – Page 83Since we are yielding instead of returning, this entire function is acting as a generator. It is worth mentioning how this changes the function behavior. Found inside – Page 202L = [] for iteration in range(20): try: L.append(next(generator)) except Exception: . ... Some list operations also work on iterators. Found inside – Page 165The best way to choose is to ask yourself if you really need a list (or tuple) or if a simple generator function would work as well. If the answer is yes, ... Found inside – Page 137... is really not long enough to explain what imaginary numbers are , or how they work . ... 137 Generator Type Python provides a generator type function . Found inside – Page 1491Generator. As you can probably tell, manual coding of C extensions can become fairly involved (this is almost inevitable in C language work). Found inside – Page 40X, list comprehensions leave the variable assigned to its last value; Python 3.0 changes this to make list comprehensions' scope work like generator ... Found inside – Page 143The generator model is responsible for creating new, fake, but plausible small ... but I would expect that 10, 50, or 500 would work just as well. Found insideWe can do better on both fronts by translating this to a generator ... seq = seq[1:] + seq[:1] yield seq # Generator function # Assignments work here > ... Found inside – Page 582.9 Generators 2.9.1 Prefer a generator expression to a list comprehension for simple iteration When dealing with a sequence, it is common to need to ... Found inside – Page 148... We can write generator expressions which implicitly have the required interface to work as an Iterable class • Python gives us a way to write generator ... Found insideHowever, there is limited information on how the generator function works. What many writers do not tell you is that generators work well in Python. Found inside – Page 90Generators work on a concept known as lazy evaluation—hence, ... Generator functions are implemented as regular functions using the def statement. Found inside – Page 35930.4.6 Using Generators Outside a for Loop You do not need a for loop to work with a generator function; the generator object actually returned by the ... Found inside – Page 218We mimic the artwork, while the generator in a GAN generates candidates, say, ... and the judge keeps evaluating our work and offering feedback. Found inside – Page 56... 'eggs' Prior to Python 3.3, the common way to combine these subgenerators into one would be to iterate over them explicitly in the wrapping generator, ... Found inside – Page 312Use generator expressions when you are working with a very large (or ... work, let's briefly review itertools, another important built-in module in Python. Found inside – Page 73... Pseudo-random number generators work by performing some operation on a value. Generally, this value is the previous number generated by the generator. Found inside – Page 207Implement Circle as a generator function, rather than as a class. ... But we'll ignore that and work to understand the all_lines generator function that ... Found insideA task scheduler might use this to communicate errors into running ... Python libraries have not been written to work well with generator-based threading. Found inside – Page 159The best way to choose is to ask yourself if you really need a list (or tuple) or if a simple generator function would work as well. If the answer is yes, ... Found inside – Page 70When working with a collection object, an iterator object is created by the for statement. When working with a generator function, the generator function is ... Found inside... work before Python 3.4, as a warning, but it does work with later versions. We are essentiallytreating the file object as a generator of lines of text. Found insidefrom the generator may not need them all anyway. Lazy evaluation The idea of producing one ... Making it work This, frankly, is what developers spend a ... Found insideYou can use the generator object in a loop like Python will call the generator repeatedly until it ... Now that you know how generators work, let's look at. Found inside – Page 386Generator expressions that map a function against a collection of data: The ... one piece without having to think deeply about how the other pieces work. Found inside – Page 36Write Concise, Eloquent Python Like a Professional Christian Mayer ... Generator expressions work exactly like list comprehensions — but without creating an ... Found inside – Page 326... numeric arrays work well with both Cython and Weave. • ctypes (https://docs.python.org/library/ctypes.html): The ctypes module was originally a separate ... Found inside – Page 177If Python finds __getitem__() instead of __iter__(), it will automatically create an iterator designed to work with it. Found inside – Page 92Generator expression can be consumed only once. The lazy nature of generators makes them ideal for dealing with large, complex PDF documents in a pure ... Found inside – Page 137The cost of starting a generator coroutine is a function call. Once active, they each use less than 1 KB of memory until they're exhausted. Coroutines work ... Found insideThe end result is the same: the caller of __iter__gets a generator object. ... In all those methods, a list comprehension would also work, at the cost of ... Found inside – Page 81A fun, project-based guide to learning Python 3 while building real-world apps Philipp Kats, David Katz. For a function to work as a generator, ... Found inside – Page 582.9 Generators 2.9.1 Prefer a generator expression to a list comprehension for simple iteration When dealing with a sequence, it is common to need to ... Found inside – Page 143So how does this work? ... Here is an example: >>> def generator(): ... yield 'this is a generator' ... return 'returning from a generator' >>> g ... Found inside – Page 296The load_colors generator then consumes that iterator, one line at a time, and yields a tuple ... 6, 2)) This generator expression is doing a lot of work. Found inside – Page 68In other words, a Python generator is a function that returns us a generator ... then resume the work right from the place where it returned the last value. Found inside – Page 153Creating a generator in Python is as simple as using the comprehension notation, ... Also, some typical list or tuple >>> max(M) functions do not work with ... Found inside – Page 211Since CNNs are optimized for computer vision tasks, using them for generator as well as discriminator architectures has a number of advantages. This work ... Found inside – Page 192A generator object is an iterable (we will revisit iterables in more detail later on), which means that it can work with for loops. Found insideFurthermore, you will explore practical examples on how to work with them through the ... These elements are called the generator and the discriminator. Found inside – Page 308GANs work something like this. They consist of two important components: • Generator • Discriminator You can perceive the generator as analogous to the ... Found inside – Page 361Luckily, Tornado provides a generator-based interface that enables us to write ... Instead of working with a chain of callbacks, coroutines use the Python ... Found insideUnderstanding Python's Asynchronous Programming Features Caleb Hattingh ... This behavior is identical to the way generator functions work in Python: ... Found inside – Page 126Working. with. the. Python. Generators. In the last chapter, ... successive calls over to the generator are not going to start executing at the beginning of ... Found inside – Page 514generator functions at work ... ('http://talkpython.fm', 'http://pythonpodcast.com', 'http://python.org') URLs. tuple Define of a for resp_len, status, url, ... Found inside – Page 462Have a task wait for writing on a file descriptor def writewait(self,task,fd): self.write_waiting[fd] = task # Main scheduler loop def mainloop(self ... Found insideNow that you understand how generator functions work, you may have realized that the generator expressions introduced earlier in this chapter are ... Found inside – Page 180Let's see how it work: A GAN system Generator: This is the generative model itself. It takes a probability distribution (random noise) as input and tries to ... Found insideWhile it is obvious in the generator function that we are iterating over the ... and take in the generator by argument, and thus work over any series. Operation on a concept known as lazy evaluation—hence,... found inside – 180Let. Number generated by the generator function is... found inside – Page 1491Generator not need python work schedule generator anyway... 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