| | |
- torch.nn.modules.module.Module(builtins.object)
-
- ParticleNet_RL2
class ParticleNet_RL2(torch.nn.modules.module.Module) |
| |
ParticleNet_RL2(batchNorm=True)
Base class for all neural network modules.
Your models should also subclass this class.
Modules can also contain other Modules, allowing to nest them in
a tree structure. You can assign the submodules as regular attributes::
import torch.nn as nn
import torch.nn.functional as F
class Model(nn.Module):
def __init__(self):
super(Model, self).__init__()
self.conv1 = nn.Conv2d(1, 20, 5)
self.conv2 = nn.Conv2d(20, 20, 5)
def forward(self, x):
x = F.relu(self.conv1(x))
return F.relu(self.conv2(x))
Submodules assigned in this way will be registered, and will have their
parameters converted too when you call :meth:`to`, etc. |
| |
- Method resolution order:
- ParticleNet_RL2
- torch.nn.modules.module.Module
- builtins.object
Methods defined here:
- __init__(self, batchNorm=True)
- Initialize self. See help(type(self)) for accurate signature.
- forward(self, x)
- Defines the computation performed at every call.
Should be overridden by all subclasses.
.. note::
Although the recipe for forward pass needs to be defined within
this function, one should call the :class:`Module` instance afterwards
instead of this since the former takes care of running the
registered hooks while the latter silently ignores them.
Data and other attributes defined here:
- expansion = 1
Methods inherited from torch.nn.modules.module.Module:
- __call__(self, *input, **kwargs)
- Call self as a function.
- __delattr__(self, name)
- Implement delattr(self, name).
- __dir__(self)
- Default dir() implementation.
- __getattr__(self, name)
- __repr__(self)
- Return repr(self).
- __setattr__(self, name, value)
- Implement setattr(self, name, value).
- __setstate__(self, state)
- add_module(self, name, module)
- Adds a child module to the current module.
The module can be accessed as an attribute using the given name.
Args:
name (string): name of the child module. The child module can be
accessed from this module using the given name
module (Module): child module to be added to the module.
- apply(self, fn)
- Applies ``fn`` recursively to every submodule (as returned by ``.children()``)
as well as self. Typical use includes initializing the parameters of a model
(see also :ref:`torch-nn-init`).
Args:
fn (:class:`Module` -> None): function to be applied to each submodule
Returns:
Module: self
Example::
>>> def init_weights(m):
>>> print(m)
>>> if type(m) == nn.Linear:
>>> m.weight.data.fill_(1.0)
>>> print(m.weight)
>>> net = nn.Sequential(nn.Linear(2, 2), nn.Linear(2, 2))
>>> net.apply(init_weights)
Linear(in_features=2, out_features=2, bias=True)
Parameter containing:
tensor([[ 1., 1.],
[ 1., 1.]])
Linear(in_features=2, out_features=2, bias=True)
Parameter containing:
tensor([[ 1., 1.],
[ 1., 1.]])
Sequential(
(0): Linear(in_features=2, out_features=2, bias=True)
(1): Linear(in_features=2, out_features=2, bias=True)
)
Sequential(
(0): Linear(in_features=2, out_features=2, bias=True)
(1): Linear(in_features=2, out_features=2, bias=True)
)
- buffers(self, recurse=True)
- Returns an iterator over module buffers.
Args:
recurse (bool): if True, then yields buffers of this module
and all submodules. Otherwise, yields only buffers that
are direct members of this module.
Yields:
torch.Tensor: module buffer
Example::
>>> for buf in model.buffers():
>>> print(type(buf.data), buf.size())
<class 'torch.FloatTensor'> (20L,)
<class 'torch.FloatTensor'> (20L, 1L, 5L, 5L)
- children(self)
- Returns an iterator over immediate children modules.
Yields:
Module: a child module
- cpu(self)
- Moves all model parameters and buffers to the CPU.
Returns:
Module: self
- cuda(self, device=None)
- Moves all model parameters and buffers to the GPU.
This also makes associated parameters and buffers different objects. So
it should be called before constructing optimizer if the module will
live on GPU while being optimized.
Arguments:
device (int, optional): if specified, all parameters will be
copied to that device
Returns:
Module: self
- double(self)
- Casts all floating point parameters and buffers to ``double`` datatype.
Returns:
Module: self
- eval(self)
- Sets the module in evaluation mode.
This has any effect only on certain modules. See documentations of
particular modules for details of their behaviors in training/evaluation
mode, if they are affected, e.g. :class:`Dropout`, :class:`BatchNorm`,
etc.
- extra_repr(self)
- Set the extra representation of the module
To print customized extra information, you should reimplement
this method in your own modules. Both single-line and multi-line
strings are acceptable.
- float(self)
- Casts all floating point parameters and buffers to float datatype.
Returns:
Module: self
- half(self)
- Casts all floating point parameters and buffers to ``half`` datatype.
Returns:
Module: self
- load_state_dict(self, state_dict, strict=True)
- Copies parameters and buffers from :attr:`state_dict` into
this module and its descendants. If :attr:`strict` is ``True``, then
the keys of :attr:`state_dict` must exactly match the keys returned
by this module's :meth:`~torch.nn.Module.state_dict` function.
Arguments:
state_dict (dict): a dict containing parameters and
persistent buffers.
strict (bool, optional): whether to strictly enforce that the keys
in :attr:`state_dict` match the keys returned by this module's
:meth:`~torch.nn.Module.state_dict` function. Default: ``True``
Returns:
``NamedTuple`` with ``missing_keys`` and ``unexpected_keys`` fields:
* **missing_keys** is a list of str containing the missing keys
* **unexpected_keys** is a list of str containing the unexpected keys
- modules(self)
- Returns an iterator over all modules in the network.
Yields:
Module: a module in the network
Note:
Duplicate modules are returned only once. In the following
example, ``l`` will be returned only once.
Example::
>>> l = nn.Linear(2, 2)
>>> net = nn.Sequential(l, l)
>>> for idx, m in enumerate(net.modules()):
print(idx, '->', m)
0 -> Sequential(
(0): Linear(in_features=2, out_features=2, bias=True)
(1): Linear(in_features=2, out_features=2, bias=True)
)
1 -> Linear(in_features=2, out_features=2, bias=True)
- named_buffers(self, prefix='', recurse=True)
- Returns an iterator over module buffers, yielding both the
name of the buffer as well as the buffer itself.
Args:
prefix (str): prefix to prepend to all buffer names.
recurse (bool): if True, then yields buffers of this module
and all submodules. Otherwise, yields only buffers that
are direct members of this module.
Yields:
(string, torch.Tensor): Tuple containing the name and buffer
Example::
>>> for name, buf in self.named_buffers():
>>> if name in ['running_var']:
>>> print(buf.size())
- named_children(self)
- Returns an iterator over immediate children modules, yielding both
the name of the module as well as the module itself.
Yields:
(string, Module): Tuple containing a name and child module
Example::
>>> for name, module in model.named_children():
>>> if name in ['conv4', 'conv5']:
>>> print(module)
- named_modules(self, memo=None, prefix='')
- Returns an iterator over all modules in the network, yielding
both the name of the module as well as the module itself.
Yields:
(string, Module): Tuple of name and module
Note:
Duplicate modules are returned only once. In the following
example, ``l`` will be returned only once.
Example::
>>> l = nn.Linear(2, 2)
>>> net = nn.Sequential(l, l)
>>> for idx, m in enumerate(net.named_modules()):
print(idx, '->', m)
0 -> ('', Sequential(
(0): Linear(in_features=2, out_features=2, bias=True)
(1): Linear(in_features=2, out_features=2, bias=True)
))
1 -> ('0', Linear(in_features=2, out_features=2, bias=True))
- named_parameters(self, prefix='', recurse=True)
- Returns an iterator over module parameters, yielding both the
name of the parameter as well as the parameter itself.
Args:
prefix (str): prefix to prepend to all parameter names.
recurse (bool): if True, then yields parameters of this module
and all submodules. Otherwise, yields only parameters that
are direct members of this module.
Yields:
(string, Parameter): Tuple containing the name and parameter
Example::
>>> for name, param in self.named_parameters():
>>> if name in ['bias']:
>>> print(param.size())
- parameters(self, recurse=True)
- Returns an iterator over module parameters.
This is typically passed to an optimizer.
Args:
recurse (bool): if True, then yields parameters of this module
and all submodules. Otherwise, yields only parameters that
are direct members of this module.
Yields:
Parameter: module parameter
Example::
>>> for param in model.parameters():
>>> print(type(param.data), param.size())
<class 'torch.FloatTensor'> (20L,)
<class 'torch.FloatTensor'> (20L, 1L, 5L, 5L)
- register_backward_hook(self, hook)
- Registers a backward hook on the module.
The hook will be called every time the gradients with respect to module
inputs are computed. The hook should have the following signature::
hook(module, grad_input, grad_output) -> Tensor or None
The :attr:`grad_input` and :attr:`grad_output` may be tuples if the
module has multiple inputs or outputs. The hook should not modify its
arguments, but it can optionally return a new gradient with respect to
input that will be used in place of :attr:`grad_input` in subsequent
computations.
Returns:
:class:`torch.utils.hooks.RemovableHandle`:
a handle that can be used to remove the added hook by calling
``handle.remove()``
.. warning ::
The current implementation will not have the presented behavior
for complex :class:`Module` that perform many operations.
In some failure cases, :attr:`grad_input` and :attr:`grad_output` will only
contain the gradients for a subset of the inputs and outputs.
For such :class:`Module`, you should use :func:`torch.Tensor.register_hook`
directly on a specific input or output to get the required gradients.
- register_buffer(self, name, tensor)
- Adds a persistent buffer to the module.
This is typically used to register a buffer that should not to be
considered a model parameter. For example, BatchNorm's ``running_mean``
is not a parameter, but is part of the persistent state.
Buffers can be accessed as attributes using given names.
Args:
name (string): name of the buffer. The buffer can be accessed
from this module using the given name
tensor (Tensor): buffer to be registered.
Example::
>>> self.register_buffer('running_mean', torch.zeros(num_features))
- register_forward_hook(self, hook)
- Registers a forward hook on the module.
The hook will be called every time after :func:`forward` has computed an output.
It should have the following signature::
hook(module, input, output) -> None
The hook should not modify the input or output.
Returns:
:class:`torch.utils.hooks.RemovableHandle`:
a handle that can be used to remove the added hook by calling
``handle.remove()``
- register_forward_pre_hook(self, hook)
- Registers a forward pre-hook on the module.
The hook will be called every time before :func:`forward` is invoked.
It should have the following signature::
hook(module, input) -> None
The hook should not modify the input.
Returns:
:class:`torch.utils.hooks.RemovableHandle`:
a handle that can be used to remove the added hook by calling
``handle.remove()``
- register_parameter(self, name, param)
- Adds a parameter to the module.
The parameter can be accessed as an attribute using given name.
Args:
name (string): name of the parameter. The parameter can be accessed
from this module using the given name
param (Parameter): parameter to be added to the module.
- share_memory(self)
- state_dict(self, destination=None, prefix='', keep_vars=False)
- Returns a dictionary containing a whole state of the module.
Both parameters and persistent buffers (e.g. running averages) are
included. Keys are corresponding parameter and buffer names.
Returns:
dict:
a dictionary containing a whole state of the module
Example::
>>> module.state_dict().keys()
['bias', 'weight']
- to(self, *args, **kwargs)
- Moves and/or casts the parameters and buffers.
This can be called as
.. function:: to(device=None, dtype=None, non_blocking=False)
.. function:: to(dtype, non_blocking=False)
.. function:: to(tensor, non_blocking=False)
Its signature is similar to :meth:`torch.Tensor.to`, but only accepts
floating point desired :attr:`dtype` s. In addition, this method will
only cast the floating point parameters and buffers to :attr:`dtype`
(if given). The integral parameters and buffers will be moved
:attr:`device`, if that is given, but with dtypes unchanged. When
:attr:`non_blocking` is set, it tries to convert/move asynchronously
with respect to the host if possible, e.g., moving CPU Tensors with
pinned memory to CUDA devices.
See below for examples.
.. note::
This method modifies the module in-place.
Args:
device (:class:`torch.device`): the desired device of the parameters
and buffers in this module
dtype (:class:`torch.dtype`): the desired floating point type of
the floating point parameters and buffers in this module
tensor (torch.Tensor): Tensor whose dtype and device are the desired
dtype and device for all parameters and buffers in this module
Returns:
Module: self
Example::
>>> linear = nn.Linear(2, 2)
>>> linear.weight
Parameter containing:
tensor([[ 0.1913, -0.3420],
[-0.5113, -0.2325]])
>>> linear.to(torch.double)
Linear(in_features=2, out_features=2, bias=True)
>>> linear.weight
Parameter containing:
tensor([[ 0.1913, -0.3420],
[-0.5113, -0.2325]], dtype=torch.float64)
>>> gpu1 = torch.device("cuda:1")
>>> linear.to(gpu1, dtype=torch.half, non_blocking=True)
Linear(in_features=2, out_features=2, bias=True)
>>> linear.weight
Parameter containing:
tensor([[ 0.1914, -0.3420],
[-0.5112, -0.2324]], dtype=torch.float16, device='cuda:1')
>>> cpu = torch.device("cpu")
>>> linear.to(cpu)
Linear(in_features=2, out_features=2, bias=True)
>>> linear.weight
Parameter containing:
tensor([[ 0.1914, -0.3420],
[-0.5112, -0.2324]], dtype=torch.float16)
- train(self, mode=True)
- Sets the module in training mode.
This has any effect only on certain modules. See documentations of
particular modules for details of their behaviors in training/evaluation
mode, if they are affected, e.g. :class:`Dropout`, :class:`BatchNorm`,
etc.
Returns:
Module: self
- type(self, dst_type)
- Casts all parameters and buffers to :attr:`dst_type`.
Arguments:
dst_type (type or string): the desired type
Returns:
Module: self
- zero_grad(self)
- Sets gradients of all model parameters to zero.
Data descriptors inherited from torch.nn.modules.module.Module:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from torch.nn.modules.module.Module:
- dump_patches = False
| |


The WS-Policy Editor
The
WS-Policy Editor allows you to edit WS-Policy documents using either a
graphical editor or a plain text editor. Given a Service or a Module,
it will
generate a graphical tree view (Policy Tree) representing the document
along with the plain text (Raw Policy) representation. The default view presented is the source view or the raw policy.
Note: You
will be editing the merged WS-Policy, which includes all
the WS-Policy components attached to the level selected.
The
WS-Policy Editor also contains a Design View (experimental), which
provides a graphical representation of the WS-Policy in question.
- Right-click on any node in the policy tree. A shortcut
menu appears.
You can add new elements and
delete existing ones. The plain text representation will be kept in
sync with the changes done using the Policy Tree, and vise versa.
Selecting
an element in the Policy Tree allows you to edit the attributes of that
policy element. Similarly, when adding an element, you will be prompted
to add data to the attributes relevant to that particular element.
- Once you have finished editing
your policy document, click Save Policy.
- Click Go
Back to go back to the previous page.


Welcome to Nick's Pizza Company
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The Herfordshire, Luton and Reading batch contains 7 secondary schools across the region that will be rebuilt and / or refurbished as part of the PSBP. They will be funded via private finance and nearly 9,000 pupils will be taught in new, fit for purpose buildings as a result.


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I had a 15-year-old write to me and ask about figuring out what do do with her life.
She writes:
‘As a high-school student I’m constantly being reminded to figure out what to do with my life, what career I would like to have and so on. I definitely feel huge amounts of pressure when my teachers and parents tell me to figure out something now. I’m young and I don’t want to make a mistake and ruin my future. I know what I like and what my interests are but when I read about a job related to those interests I always feel as if I wouldn’t enjoy it and I don’t know why.’
What an extremely tough thing to figure out: what to do with your future! Now, I can’t really tell this young woman what to do, as her parents might not like that very much, but I can share what I’ve learned looking back on my life, and what I would tell my kids (oldest is 21 and still figuring things out, but I also have 17- and 16-year-old boys and a 14-year-old girl).
Here’s what I’d say.
You can’t figure out the future. Even young people who have a plan (be a doctor, lawyer, research scientist, singer) don’t really know what will happen. If they have any certainty at all, they’re a bit deluded. Life doesn’t go according to plan, and while a few people might do exactly what they set out to do, you never know if you’re one of those. Other things come along to change you, to change your opportunities, to change the world. The jobs of working at Google, Amazon or Twitter, for example, didn’t exist when I was a teen-ager. Neither did the job of True Happiness blogger.
So if you can’t figure out the future, what do you do? Don’t focus on the future. Focus on what you can do right now that will be good no matter what the future brings. Make stuff. Build stuff. Learn skills. Go on adventures. Make friends. These things will help in any future.
Learn to be good with discomfort. One of the most important skills you can develop is being OK with some discomfort. The best things in life are often hard, and if you shy away from difficulty and discomfort, you’ll miss out. You’ll live a life of safety.
Learning is hard. Building something great is hard. Writing a book is hard. A marriage is hard. Running an ultramarathon is hard. All are amazing.
If you get good at this, you can do anything. You can start a business, which you couldn’t if you’re afraid of discomfort, because starting a business is hard and uncomfortable.
How do you get good at this? Do things now that are uncomfortable and hard, on purpose. But start with small doses. Try exercising for a little bit, even if it’s hard, but just start with a few minutes of it, and increase a minute every few days or so. Try writing a blog or meditating every day. When you find yourself avoiding discomfort, push yourself just a little bit more (within limits of reason and safety of course).
Learn to be good with uncertainty. A related skill is thriving in uncertainty. Starting a business, for example, is an amazing thing to do … but if you’re afraid of uncertainty, you’ll skip it. You can’t know how things will turn out, and so if you need to know how things will turn out, you’ll avoid great projects, businesses, opportunities.
But if you can be OK with not knowing, you’ll be open to many more possibilities. Read more on uncertainty.
If you’re good at discomfort and uncertainty, you could do all kinds of things: travel the world and live cheaply while blogging about it, write a book, start a business, live in a foreign country and teach English, learn to program and create your own software, take a job with a startup, create an online magazine with other good young writers, and much more. All of those would be awesome, but you have to be OK with discomfort and uncertainty.
If any opportunities like these come along, you’ll be ready if you’ve practiced these skills.
Overcome distraction and procrastination. All of this is useless if you can’t overcome the universal problems of distraction and procrastination. You might seize an opportunity because you’re good at uncertainty and discomfort, but then not make the most of it because you’re too busy on social media and watching TV.
Actually, distraction and procrastination are just ways of avoiding discomfort, so if you get good at discomfort you’re way ahead of most people. But there are some things you can practice — read more here.
Learn about your mind. Most people don’t realize that fear controls them. They don’t notice when they run to distraction, or rationalize doing things they told themselves they wouldn’t do.
Learn about how your mind works, and you’ll be much better at all of this. The best ways: meditation and blogging. With meditation (read how to do it) you watch your mind jumping around, running from discomfort, rationalizing. With blogging, you are forced to reflect on what you’ve been doing in life and what you’ve learned from it. It’s a great tool for self-growth, and I recommend it to every young person.
Make some money. I don’t think money is that important, but making money is difficult. You have to make someone believe in you enough to hire you or buy your products/service, which means you have to figure out why you’re worthy of someone believing in you. You have to become worthy. And you have to learn to communicate that to people so they’ll want to buy or hire you. Whether you’re selling cookies door-to-door or an app in the Apple store or trying to get a job as a cashier, you have to do this.
And you get better with practice.
I worked as a clerk at a bank and then a freelance sports writer when I was in high school, and those were valuable experiences for me.
Protip: save an emergency fund, then start investing your earnings in an index fund and watch it grow over your lifetime.
Build something small. Most people fritter their time away on things that don’t matter, like TV, video games, social media, reading news. A year of that and you have nothing to show for it. But if you did a sketch every day, or started writing web app, or created a blog or a video channel that you update regularly, or started building a cookie business … at the end of a year you’ll have something great. And some new skills. Something you can point to and say, “I built that.” Which most people can’t do.
Start small, and build it every day if possible. It’s like putting your money in investments: it grows in value over time.
Become trustworthy. When someone hires a young person, the biggest fear is that the young person is not trustworthy. That they’ll come in late and lie about it and miss deadlines. Someone who has established a reputation over the years might be much more trusted, and more likely to be hired. Learn to be trustworthy by showing up on time, doing your best on every task, being honest, admitting mistakes but fixing them, trying your best to meet deadlines, being a good person.
If you do that, you’ll build a reputation and people will recommend you to others, which is the best way to get a job or investor.
Be ready for opportunities. If you do all of the above, or at least most of it, you’ll be amazing. You’ll be way, way ahead of pretty much every other person your age. And opportunities will come your way, if you have your eyes open: job opportunities, a chance to build something with someone, an idea for a startup that you can build yourself, a new thing to learn and turn into a business, the chance to submit your new screenplay.
These opportunities might come along, and you have to be ready to seize them. Take risks — that’s one of the advantages of being young. And if none come along, create your own.
Finally: The idea behind all of this is that you can’t know what you’re going to do with your life right now, because you don’t know who you’re going to be, what you’ll be able to do, what you’ll be passionate about, who you’ll meet, what opportunities will come up, or what the world will be like. But you do know this: if you are prepared, you can do anything you want.
Prepare yourself by learning about your mind, becoming trustworthy, building things, overcoming procrastination, getting good at discomfort and uncertainty.
You can put all this off and live a life of safety and boringness. Or you can start today, and see what life has to offer you.
Lastly, what do you do when your parents and teachers pressure you to figure things out? Tell them you’re going to be an entrepreneur, start your own business, and take over the world. If you prepare for that, you’ll actually be prepared for any career.
Posted with :


pips Red=142 White=136
(CorrectAnswer= 0/0, ErrorScore= 0)
In the summer edition of ‘Prime Time”, the excellent US Backgammon Federation quarterly magazine, American master Bob Wachtel discusses a topic that has long been close to my heart.
The theme of his article is that we spend too much analysing errors and not enough time applauding good plays. Let’s take a short match between two strong players as an example. Assuming the match has 150 moves by each player an XG analysis will quickly highlight the small number of blunders and slightly larger number of errors by each player. Two blunders and eight errors will (probably) give you a Performance Rating (PR) of around 4.
You will agonise over the ten mistakes and then (hopefully) learn from them. What is not remarked upon is the fact that you made around 140 correct checker plays and a significant number of correct cube decisions. In our search for perfection (a Performance Rating of zero), we ignore just how well actually played.
In chess there is notation for various types of moves: (!) is an excellent move; (!!) is a brilliancy which normally wins the game and (!?) is a questionable but interesting move which might lead to a win if the opponent does not find the correct defence. Bob advocates, and I support, the introduction of such notation in backgammon so that we appreciate just how well somebody has played, rather than worrying about the (unattainable) Holy Grail of a PR of zero.
So, what sort of move should earn a single or double exclamation mark in annotating a game of backgammon? I have a collection of such moves but will start with one that made a very deep impression on me. This week’s position is from the British Masters 2016 with Michy (Black) trailing Gaz Owen (White) 0-2 in a match to 11, and holding the doubling cube on 2.
I was watching the game as Michy took nearly five minutes to make his decision. Many of the spectators expected 17/11, 13/11 or 17/13, 7/5(2). Certainly, nobody expected 13/9(2)!! Michy voluntarily exposed two new blots when his opponent had a four-point home board. In return Black significantly constrained the White checkers on his 3-pt and built a strong broken prime. Was the risk worth the reward?
Yes, it was, and the other two plays noted above are both bad blunders. However, a large number of players would have chosen one of them, not seeing as deeply into the position as Michy did. Not only that, he had the courage to make the play over the board. The move certainly spooked his opponent. Gaz rolled 64 and played 13/9, 7/1*. Michy followed up his excellent checker play by correctly redoubling to 4. Gaz took but he should have dropped. A passage of play that showed Michy at his best.
I believe his play of 13/9(2) fully merits one exclamation mark if not two. That passage of play led me to spend a long time studying broken primes and I came to realise just how strong they can be, particularly with two or more opponent checkers trapped behind them. Many of my website “Position of the Day” problems last year were around the theme of broken primes, all because of that play by Michy.
Two years on and I think more players would find 13/9(2) but that is only because Michy brought the concept forcibly to our attention and helped to develop backgammon theory a little bit further.
Congratulation to Bob Wachtel on his article and now let us see much more applause for good moves instead of just criticising blunders and errors. Backgammon is a very difficult game so please, let us give credit where credit is due.
The theme of his article is that we spend too much analysing errors and not enough time applauding good plays. Let’s take a short match between two strong players as an example. Assuming the match has 150 moves by each player an XG analysis will quickly highlight the small number of blunders and slightly larger number of errors by each player. Two blunders and eight errors will (probably) give you a Performance Rating (PR) of around 4.
You will agonise over the ten mistakes and then (hopefully) learn from them. What is not remarked upon is the fact that you made around 140 correct checker plays and a significant number of correct cube decisions. In our search for perfection (a Performance Rating of zero), we ignore just how well actually played.
In chess there is notation for various types of moves: (!) is an excellent move; (!!) is a brilliancy which normally wins the game and (!?) is a questionable but interesting move which might lead to a win if the opponent does not find the correct defence. Bob advocates, and I support, the introduction of such notation in backgammon so that we appreciate just how well somebody has played, rather than worrying about the (unattainable) Holy Grail of a PR of zero.
So, what sort of move should earn a single or double exclamation mark in annotating a game of backgammon? I have a collection of such moves but will start with one that made a very deep impression on me. This week’s position is from the British Masters 2016 with Michy (Black) trailing Gaz Owen (White) 0-2 in a match to 11, and holding the doubling cube on 2.
I was watching the game as Michy took nearly five minutes to make his decision. Many of the spectators expected 17/11, 13/11 or 17/13, 7/5(2). Certainly, nobody expected 13/9(2)!! Michy voluntarily exposed two new blots when his opponent had a four-point home board. In return Black significantly constrained the White checkers on his 3-pt and built a strong broken prime. Was the risk worth the reward?
Yes, it was, and the other two plays noted above are both bad blunders. However, a large number of players would have chosen one of them, not seeing as deeply into the position as Michy did. Not only that, he had the courage to make the play over the board. The move certainly spooked his opponent. Gaz rolled 64 and played 13/9, 7/1*. Michy followed up his excellent checker play by correctly redoubling to 4. Gaz took but he should have dropped. A passage of play that showed Michy at his best.
I believe his play of 13/9(2) fully merits one exclamation mark if not two. That passage of play led me to spend a long time studying broken primes and I came to realise just how strong they can be, particularly with two or more opponent checkers trapped behind them. Many of my website “Position of the Day” problems last year were around the theme of broken primes, all because of that play by Michy.
Two years on and I think more players would find 13/9(2) but that is only because Michy brought the concept forcibly to our attention and helped to develop backgammon theory a little bit further.
Congratulation to Bob Wachtel on his article and now let us see much more applause for good moves instead of just criticising blunders and errors. Backgammon is a very difficult game so please, let us give credit where credit is due.
1. Cubeful 0-ply 13/9(2) Eq.: +0.389 0.633 0.147 0.004 - 0.367 0.141 0.007 2. Cubeful 0-ply 17/11 13/11 Eq.: +0.202 (-0.187) 0.572 0.125 0.004 - 0.428 0.135 0.002 3. Cubeful 0-ply 17/13 7/5(2) Eq.: +0.175 (-0.214) 0.559 0.133 0.005 - 0.441 0.133 0.002 4. Cubeful 0-ply 17/11 6/4 Eq.: +0.045 (-0.344) 0.531 0.118 0.004 - 0.469 0.166 0.004 5. Cubeful 0-ply 17/13 6/2 Eq.: +0.001 (-0.387) 0.517 0.116 0.003 - 0.483 0.170 0.003


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Airway transportation is a mode of transportation that is done between aerodromes and has many advantages from the point time.
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2 important things: Quantitative & Qualitative data
2. Form a hypotesis
"If [variable], then [Result], because [Rationale]."
If the call-to-action is shorter, the conversion rate will increase
If the call-to-action text is changed to "Complete My Order", the conversion
rates in the checkout will increase, because the cop is more specific and
personalized
3. How to Construct an experiment
Every test has 3 parts
Content
Design
Tech
4. Evaluate Results
How confident am I that the observed difference from
my experiment was not due to chance?
95% Statistical Significance = 5% probability that
the observed difference was due to chance
High statistical confidence = Lower risk of implementing a test that won by chance


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switch
statements or expressions.
Nested switch
statements
may result in extremely confusing code. These statements may be extracted to a separate method.
Example:
int res = switch (i) {
case 0 -> 0;
default -> switch (i) {
case 100 -> 0;
default -> i;
};
};


:: SWE
Sweden has competed at every Olympic Winter Games, always featuring strongly in the overall medal tally.


Hot Restaurant
It is very hot
in this restaurant.
Make Reservation
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Current Reservations
Waiting List


 I've been coding since I was a teenager, and software has always held a fascination for me.
What have I created?
I have created the front-end of several high-traffic websites in the US, Canadian, and Australian markets. As a web developer, I know I need to be on top of issues like load times, browser compatibility, SEO and UI/UX. So, I'm constantly experimenting with new tools & methods.
In the past I created several iPhone and iPad apps (in Objective-C). One app even topped out at #4 in the Free section of the App Store (albeit briefly). To grow the app user base, I created features like innovative page transitions and rich content sharing.
I also localized 26 children's educational software titles for "The Learning Company". Many of these products were written by different teams/software houses. As a localization engineer, I needed to gain intimate product details very quickly and precisely.
What I'm Good At
I've always considered myself a front-end person at heart (even when writing iOS apps). Well designed software is a gift, for the users, and other developers.
I'm good at creative problem-solving. I like brainstorming software ideas and then following them through to completion. And I love the excitement and confidence that well tested software brings.
These days I’m most at home with JavaScript, jQuery, Twitter Bootstrap, NodeJS/Express, and their brethren. And I use whatever tool is available to make my work easier/faster/more reliable (Sass, GruntJS, JSLint, Mocha/Chai, etc.).
The Future
I imagine myself working on the front-end and/or full-stack. I'm looking for a place that I can make a creative contribution, using my existing skills and learning new ones.
To quote my old boss, "Let's do this!".


Leeds goalkeeper Kiko Casilla 'set for eight to 12 match ban' for alleged racist abuse
The Spanish stopper had been accused of using a racial slur against Charlton striker Jonathan Leko during a match in September
by Hassan RashedLeeds goalkeeper Kiko Casilla is set to be banned for eight to 12 matches for racially abusing Charlton striker Jonathan Leko, according to reports.
It comes after an investigation was launched by the Football Association in the aftermath of the Championship meeting between the two sides in September.
Casilla, 33, had been accused of using a racial slur against Leko, who is currently on loan from league rivals West Brom, during Charlton's 1-0 victory.
And the Daily Mail reports that the Spanish stopper is now set to be hit with a lengthy suspension after the FA concluded its probe.
According to the publication, the former Real Madrid man is set to miss at least eight games and could be banned until the start of the new year.
It is understood that the outcome of the investigation and details of Casilla's punishment will be announced on Wednesday.
Referee John Brooks was made aware of the alleged incident after the game and included the claims in his report, which prompted the FA to look into the matter further.
As part of the investigation, it is claimed that both Casilla and Leko, 20, were spoken to by the governing body.
The FA also reportedly called in lip readers and Spanish interpreters in an attempt to gather as much evidence as possible, and the case against the Leeds goalkeeper is believed to be strong enough to bring a harsh punishment.
Casilla's absence is expected to be a big blow to Marcelo Bielsa's side, with the 33-year-old starting in each of Leeds' league matches this season.
The Mail state that the FA are looking to show their determination to combat racism on the back of an incident that saw England players racially abused by Bulgaria fans during a EURO 2020 qualifier last month.


Licensee impact of JDK 1.4 reflection changes
Sun's JDK 1.4 contains a new implementation of java.lang.reflect which
offers substantially higher performance than previous JDKs' native
code. Licensees can at their discretion port these changes. There are
no public API or documentation changes associated with the new
reflection implementation aside from a few minor clarifications in the
specifications of Method.invoke(), Constructor.newInstance(), and a
few methods in java.lang.reflect.Field.
The bulk of the new implementation is Java programming language code
which generates bytecodes, and is therefore portable. If licensees
desire to port it, the following JVM changes are required:
- The following four new JVM entry points must be added:
- JVM_GetClassDeclaredConstructors
- JVM_GetClassDeclaredFields
- JVM_GetClassDeclaredMethods
- JVM_GetClassAccessFlags
The first three return the declared constructors, fields, and methods
for a given class, with an option to return only the public ones. They
are similar in functionality to the earlier GetClassConstructors,
GetClassFields, and GetClassMethods. JVM_GetClassDeclaredFields and
JVM_GetClassDeclaredMethods must intern the Strings for the names of
the Field and Method objects returned. The fouth returns the access
flags for a given class as marked in the class file, as opposed to in
the InnerClasses attribute if the class is an inner class, and
therefore differs from JVM_GetClassModifiers for inner classes (most
importantly, protected inner classes; see 4471811.)
- The JVM's link resolver must be modified to allow all field and
method references from subclasses of sun.reflect.MagicAccessorImpl to
any other class (even to private members of other classes) to
succeed. This allows setAccessible() and its associated checks to be
implemented in Java.
- The code which calls the verifier must skip verification for all
subclasses of sun.reflect.MagicAccessorImpl. (It was originally
intended that only a subset of the stub classes used for serialization
would not pass the verifier, specifically, those subclassing
SerializationConstructorAccessorImpl; see 4486457 for a case where
this does not work.)
- The stack walker for security checks must be modified to skip not
only all Method.invoke() frames, but also any frames for which the
class is a subclass of sun.reflect.MethodAccessorImpl.
- The JVM entry points JVM_InvokeMethod and
JVM_NewInstanceFromConstructor are currently still used because the
first invocation of the bytecode-based reflection is currently slower
than the original native code. The security checks they perform can,
however, be disabled, as they are now performed by Java programming
language code.
The following changes were discovered to be necessary for backward
compatibility with certain applications (see bug 4474172):
- The existing JVM entry point JVM_LatestUserDefinedLoader
(typically used in applications which rely on the 1.1 security
framework) must skip reflection-related frames in its stack walk:
specifically all frames associated with subclasses of
sun.reflect.MethodAccessorImpl and
sun.reflect.ConstructorAccessorImpl.
- The new reflection implementation can cause class loading to
occur in previously-unexpected places (namely during reflective
calls). This can cause class loaders which contain subtle bugs to
break. In general it is not possible to guarantee complete backward
bug compatibility, but one kind of bug has been observed more than
once: the inability of a user-defined loader to handle delegation to
it for a class it has already loaded. The new reflection
implementation is predicated on delegation working properly, as it
loads stub classes into newly-fabricated class loaders of type
sun.reflect.DelegatingClassLoader, one stub class per loader, to allow
unloading of the stub classes to occur more quickly. To handle this
kind of bug, the JVM's internal class lookup mechanism must be
slightly modified to check for instances of
sun.reflect.DelegatingClassLoader as the incoming class loader and
silently traverse the "parent" field once for such loaders before
entering the bulk of the resolution code. This avoids an upcall to
Java programming language code which certain loaders can not handle.
The following JVM entry points may be deleted:
- JVM_GetClassFields
- JVM_GetClassMethods
- JVM_GetClassConstructors
- JVM_GetClassField
- JVM_GetClassMethod
- JVM_GetClassConstructor
- JVM_NewInstance
- JVM_GetField
- JVM_GetPrimitiveField
- JVM_SetField
- JVM_SetPrimitiveField
To keep using the previous reflection implementation, licensees should
not take changes from Sun's JDK 1.4 relating specifically to the
implementation of reflection in the following classes/methods and
any associated native code:
- java.lang.Class.newInstance0
- java.lang.Class.getClassLoader0
- java.lang.Class.getFields
- java.lang.Class.getMethods
- java.lang.Class.getDeclaredFields
- java.lang.Class.getDeclaredMethods
- java.lang.Class.getFields0
- java.lang.Class.getMethods0
- java.lang.Class.getConstructors0
- java.lang.Class.getField0
- java.lang.Class.getMethod0
- java.lang.Class.getConstructor0
- java.lang.ClassLoader.getCallerClassLoader
- java.lang.System.getCallerClass
- java.lang.reflect.AccessibleObject
- java.lang.reflect.Constructor
- java.lang.reflect.Field
- java.lang.reflect.Method
- java.lang.reflect.Modifier
- sun.misc.ClassReflector


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fiftytwo/52
- Node.js
- MongoDB
- Sass
ByeByeBuggy
- SASS
- JavaScript
- HTML
- Figma
Organizm
- React
- JavaScript
- SASS
Stacey Evy: Realtor
- JavaScript
- HTML
- CSS
A year-long challenge blog created with a Node.js backend using MongoDB for data. This site has a custom CMS I created in order to create or edit posts, with authentication required in order to do so. It in itself is like a second portfolio as it will feature fifty-two projects I create through the year to grow as a developer.
This is a site created in order to practice using Figma to plan layouts. While reading a forum post, I followed a link to the website of a particular product. That product's website was extremely dated. It had dead links. The console was rife more than 15 errors. It needed a redesign, badly.
In an effort not to insult the creator of the product, in the extremely unlikely event they should ever discover this site, the fictitious ByeByeBuggy product is similar to the product in question, but is not the same. The images are doctored images of another product.
version 1 of ?-- This is a massive undertaking, a life-organization app that handles tasks, calendar, menu-planning, travel-planning, and completely customizable goal and symptom tracking. It will include some reporting functions.
As of version 1, Organizm is a tasks list app with a bit extra added. It also includes a custom date picker so that a goal date can be added to a task. In later versions of the app, these dates will be used to sort tasks and to populate a calendar component. Data currently is saved to local storage.
The name, Organizm, is an amalgam of "organize" and "organism". It will grow in breadth and complexity with future versions. Because of this, it needs a scalable architecture both in style and function. I used Sass to structure the CSS and BEM nomenclature as BEM/Sass/React are natural symbiots. I chose to use functional React components instead of class for a couple reasons: one, it's the trend. Two, hooks and context allow state to be shared and manipulated by multiple components while keeping the code structure cleaner, making it easier to scale.
This is a site created for a fictious realtor. I gave myself a challenge of creating a fully-functional static site that could be used on a professional level within five days (approximately 8.5 working hours) as my first focused complete-site project. I was able to achieve that goal. There are a few subtle CSS and JavaScript animations on the site, as well as custom JavaScript form validation.
Site is fully mobile-friendly and tested on such, though it displays well on standard desktop and wide-screen monitors.
Click on a card above to see details about my fully deployed projects, including a link to each project and its Github repository.
Please view my complete Github profile for the full extent of my original projects. Most of my projects are very small in nature, built to explore specific skills like using the HTML canvas or coupling a JavaScript library that only works with ES5 code with other functions that require datakeys from ES6 code. I also have these rather large projects in progress:


Hi everyone. I'm new to OEM and to Raspberry PI boards in general.
I first tried writing the Raspbian image on the SD card, and as I have no hdmi display available, I could successfully ssh into the system and start getting familiar with it.
I tried the same with the oem_gateway image but connecting the emonbase PI to my home router, no new host shows up.
I've also noticed that only the PWR led is on.
My question is:
Is this the expected behaviour?
Could this be a problem in writing the oem_gateway image? BTW I've followed the same steps I used for Raspbian.
Thanks in advance.
Federico.
Re: [SOLVED] SSH into emonbase PI problem
I received the Raspberry with the new memory chip just before the oem_image update was released.
Now everything works as expected.
Regards.
Federico.
Re: [SOLVED] SSH into emonbase PI problem
Great to hear that the fix works. It had me scratching my head for a while! Guess the sticker on the packaging should have been a clue!


Roberto C. Baldizon Diaz
I'm an engineer striving to help solve our world's problems through the use of technology.
Who
What
Blog


---
layout: default
current: home
class: 'home-template'
navigation: True
---
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This function parses output of seqbuster tool to allow isomiRs/miRNAs analysis of samples in different groups such as characterization, differential expression and clustering. It creates an isomiRs::IsomirDataSeq object.
IsomirDataSeqFromFiles(files, coldata, rate = 0.2, canonicalAdd = TRUE, uniqueMism = TRUE, design = ~1L, minHits = 1L, header = TRUE, skip = 0, quiet = TRUE, ...)
| files | files with the output of seqbuster tool |
|---|---|
| coldata | data frame containing groups for each sample |
| rate | minimum counts fraction to consider a mismatch a real mutation |
| canonicalAdd |
|
| uniqueMism |
|
| design | a |
| minHits | Minimum number of reads in the sample to consider it in the final matrix. |
| header | boolean to indicate files contain headers |
| skip | skip first line when reading files |
| quiet | boolean indicating to print messages
while reading files. Default |
| ... | arguments provided to SummarizedExperiment::SummarizedExperiment including rowData. |
IsomirDataSeq class object.
This function parses the output of http://seqcluster.readthedocs.org/mirna_annotation.html for each sample to create a count matrix for isomiRs, miRNAs or isomiRs grouped in types (i.e all sequences with variations at 5' but ignoring any other type). It creates isomiRs::IsomirDataSeq object (see link to example usage of this class) to allow visualization, queries, differential expression analysis and clustering. To create the isomiRs::IsomirDataSeq, it parses the isomiRs files, and generates an initial matrix having all isomiRs detected among samples. As well, it creates a summary for each isomiR type (trimming, addition and substitution) to visualize general isomiRs distribution.
path <- system.file("extra", package="isomiRs") fn_list <- list.files(path, full.names = TRUE) de <- data.frame(row.names=c("f1" , "f2"), condition = c("newborn", "newborn")) ids <- IsomirDataSeqFromFiles(fn_list, coldata=de)#>#> f1 f2 #> hsa-let-7a-5p 0 18 #> hsa-let-7b-5p 0 6 #> hsa-let-7c-5p 0 61 #> hsa-let-7f-5p 8 7 #> hsa-let-7g-5p 74 3 #> hsa-let-7i-5p 0 2


During the summer of 2011 I had the opportunity to work in the Marketing Department of Beaumont Health System.
Beaumont is a three-hospital health system in metropolitan Detroit and is a leader in health education and patient care.
During my time at Beaumont I was given a significant amount of responsibility in both the web and media marketing
departments. One of my best experiences of the summer was participating in meetings with the different clinical
departments to discuss their marketing needs. Based on the information gathered in the meetings, I created marketing
content such as a video script and a radio advertisement. Please see below for examples of work on the Beaumont
Women's Health website and Facebook page.
... |


Devil's Isle Supporter:
Some time ago, powerful pirates came from the other side of the sky and occupied Devil's Isle.
I believe they are the ones who touched Jaken's relic. I don't know that they've done, but since then the monsters have become especially violent -- now nobody can even set foot on the island!
Listen to this story.


Number of Builds in The Past Week
{% include "main/builds_last_week_line_chart.html" %}
Overall Status
{% include "main/overall_status_pie_chart.html" %}
{% extends "layout.html" %} {% block content %}


|
Joining
You
(Alanis Morissette) |
|
Dear
dar, your mom, my friend, left a message on my machine
She was frantic saying you were talking crazy That you wanted to do away with yourself I guess she thought I’d be a perfect resort Cause we’ve had this inexplicable connection Since our youth and yes they’re in shock they are panicked you and your chronic Them and their drama you this embarrassment us in the middle of this delusion If we were our bodies If we were our futures If we were our defenses I'd be joining you If we were our culture If we were our leaders If we were our denials I'd be joining you I remember vividly a day years ago we were camping You knew more than you thought you should know You said "I don’t ever want to be brainwashed" And you were mindboggling you were intense You were uncomfortable in your own skin You were thirsty but mostly you were beautiful If we were our nametags If we were our rejections If we were our outcomes I'd be joining you If we were our indignities If we were our successes If we were our emotions I'd be joining you You and I we’re like 4 year olds We want to know why and how come about everything We want to reveal ourselves at will and speak our minds And never talk small and be intuitive And question mightily and find god my tortured beacon We need to find like-minded companions If we were their condemnations If we were their projections If we were our paranois I'd be joining you If we were our incomes If we were our obsessions If we were our afflictions I'd be joining you We need reflection we need a really good memory Feel free to call me a little more often |


Drake Lord's Corpse:
(The Drake Lord's Essence has already been obtained. There is nothing more to do here.)


Using the order of members existing in a database outline, returns a member that is n steps past a given member, along the same generation or level (as defined by layertype).
Syntax
member.Lead (index [,layertype ] [, hierarchy ])
Lead ( member, index [, hierarchy ] )
| Parameter | Description |
|---|---|
|
The starting member from which .LEAD counts a given number of following members. |
|
index |
A number n representing how many steps away from <member> to count. |
layertype |
GENERATION or LEVEL. |
|
Optional. A specific hierarchy within the time dimension. |
Notes
If the member specified by the Lead function does not exist, the result is an empty member. For example, using Sample Basic, [Jun].lead (12) returns an empty member.
When multiple hierarchies are enabled, this function returns NULL when the source member is in one hierarchy and the result member belongs to a different hierarchy.
Example
The following expression:
[Jan].lead (11)
returns the member that is 11 steps past Jan:
[Dec]
The following expression:
[Dec].lead (-11)
returns the member that is 11 steps prior to Dec:
[Jan]
For every month, the following query displays the marketing expenses and budgeted sales for the next month.
WITH MEMBER [Measures].[Expected Sales in Next month] AS '([Measures].[Sales], [Year].CurrentMember.Lead(1))' SELECT { ([Scenario].[Actual], [Measures].[Marketing]), ([Scenario].[Budget], [Measures].[Expected Sales in Next month]) } ON COLUMNS, [Year].Levels(0).Members ON ROWS FROM Sample.Basic
This query returns the grid:
| Actual | Budget | |
| Marketing | Expected Sales in Next Month | |
| Jan | 5223 | 30000 |
| Feb | 5289 | 30200 |
| Mar | 5327 | 30830 |
| Apr | 5421 | 31510 |
| May | 5530 | 32900 |
| Jun | 5765 | 33870 |
| Jul | 5985 | 33820 |
| Aug | 6046 | 31000 |
| Sep | 5491 | 29110 |
| Oct | 5388 | 29540 |
| Nov | 5263 | 30820 |
| Dec | 5509 | #Missing |
See Also


_lop The wind clop-clopped through the air, enveloping us with a dollop of warmth and peace.[G|D] The horse galloped quickly through the meadow, its mane flapping in the wind as it seemed to galop with a sense of freedom and joy.[G|D] He lop-sidedly plopped into the armchair, taking a few moments to redevelop his thoughts and plan out the next step of his journey.[G|D] With a scallop of her brush, she created a masterpiece of a painting, walloping with vibrant colors and a thick slathering of paint.[G|D]


1 Kings 1:26
But me, even me thy servant, and Zadok the priest, and Benaiah the son of Jehoiada, and thy servant Solomon, hath he not called.


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- The Home page, you're currently on it.
- A list of all the teas you could ever want, each accompanied with useful information.
- Make your wildest dreams come true by blending a tea of your choice using ingredients from the tea list, and get a flavor profile and other relevant information about your creation.
- Where you can check out the guys who brought you this great site.


When logging to Elasticsearch is enabled build logs are not written to the Jenkins filesystem anymore. By default the build logs in the Jenkins UI and API will be empty.
By enabling this check-box the logs are read from Elasticsearch every time they are accessed from UI or API.
Be aware that this might have a negative impact on the performance and resource consumption of Elasticsearch and Jenkins.


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xxm Demo Projects - 13 WebSockets
This is a demo project showing how to use xxmWebSocket.pas
to implement a WebSocket.
- Web.xxmp
- The project file, contains an internal list of the files of the project, and other data about the project.
Use xxmProject.exe to edit and manage project settings.
For this demonstration project, unit ws1.pas
was added.
- xxmp.pas
- The project's main unit. When this file is missing form the project, xxm creates one for you.
This one has been modified so that the project class implements IXxmProjectEvents1
to listen in on when the project needs to 'release its contexts' prior to shutting down. Without this, existing WebSocket connections would stall the auto-update or auto-compile feature of the xxm handler.
- Default.xxm
- The website's default page. Attempts to create a
WebSocket
instance (if your browser supports this), shows incoming messages, and provides a way to send messages.
- ws1.pas
- Defines a class
TMyWebSocket
that inherits from TXxmWebSocket
.
It responds to incoming messages after a fixed delay.
It also uses a thread to check periodically when the sum of hours, minutes and seconds is a prime number, then sends a message.
TXxmWebSocket
implements IXxmPage
and is added to the fragment registry to map it to a local URL.
A global variable is used to let the project object signal if it's going to shut down. In larger projects it's advised to use a registry of existing (connected) instances of TXxmWebSocket
.


Javascript, HTML, CSS all work together to make a webpage run as smoothly as it does. Each serving their part in making things work. HTML is the basic structure of the contents on a webpage, giving the page a foundation. CSS is used to give the webpage designs, in lamer terms 'make things look good'. Javascript is the function and the interactive element of a webpage. It is what goes behind the scenes that make a webpage interactive and fun.
Control flow is when Javascript makes decisions base of the conditions of a code, it will excute one statement if the condition is true, and if it is false it will excute another. For exmaple when you wake up in the morning, if the statement 'it is the weekend' is true, than you play golf, if it is false you go to work. Following these statements can be continuing true or false statements and like a tree this will lead to many different scenarios.
Loops is the ability for a code to be repeatedly run. There are two types, one is for loops one is while loops. For loops is that a code is run repeatedly for a known amount of times. For example I want to hit each of those 5 golf balls once. Where as while loops you do not know the amount of times it will run.  You know a condition for this to end but the amount of times you repeat this action is unknown.
Arrays in Javascript is when a variable is stored with multiple values of any data type. For example var mySport = ["basketball", "golf", "football"]
. To access data in an array you find them through using index. The start of each array's index is always 0, meaning the to look for the first item you use 0 not 1. For example to search the mySport array for golf you would go mySport[1]
. The 1 will bring the second piece of data within the array.
 There are no particular order of the data and is searched by using the key. For example object:
golf
brand: 'taylormade'
,
type: 'driver'
To access data in an object you input the object name, then either a dot (.) or a bracked notaiton ([]) with the key you are looking for. e.g.
golf.brand;
or golf[brand];
Function is a blog of code within Javascript that is designed to perform a certain task. It is there to help make life easier during coding and can be reused so that we do not have to write out the same code every time. There are many functions within Javascript that are and will be super helpful during coding.