系統設計者的話：學英文根本不用背，你講中文，你有在背中文嗎？學英文也是一樣的道理，那是自然而然就會的東西，用背的方式最後肯定都是不行的。 更多...

最好的學習就是有英文的父母，不斷的跟你說話、耐心的教導你，時間長了，你也就慢慢就融入其中了。

但是我們沒有英文父母怎麼辦？看影片學英文就學的起來嗎？學不起來。

我們從小到大，也看過了不少英文電影，至少也看過1、200部也跑不掉，但是為什麼看了這麼多的英文電影，英文還是很爛呢？

主要的原因是我們沒有從基礎性的強化學習。舉個例子，西方的幼兒出生時，他至少聽了各種大人講英文至少聽了2年，才慢慢開始說英文、與大人互動。

而且都是一字一句慢慢的說、慢慢的教、漸進式的、慢慢的、越來越習慣、越來越聽的懂、越來越會說的過程。

那麼我們看的影片、電影過程中，都是大人成熟型的講話速度、方式、語調，我們怎麼可能跟的上？

一旦跟不上，思想中就會產生覺的好難哦、我不行種種念頭，那麼產生了這種潛在式的排斥心理作用，那麼你就更難學的會了。


所以我們必須打好基礎、深厚的基礎，萬丈高樓平地起，唯有打下深厚的基礎，後面你走的路才會越來越順。

程式界裏有句話，程式債欠的越多，最後就只能放棄。學英文也是一樣，英文單字債欠的越多，你就直接上來文法、句型、語調，最後也只能放棄。

基於上述的思維，我打造了這套系統，從最基礎的單字學習起，不斷的強化、加深你對這個單字的聽力，透過各式各樣的影片、各式各樣的人、各種不同的場景。

就只是為了訓練一個單字的聽力，無數的人跟你講同一個單字，講個20遍、50篇、100遍(且不重覆)，我就不信學不起來。


這套系統做出來後，我自己在使用的過程中，確實真的能聽出來他們講的這個單字，而且他們講的速度再快也能聽的出來。

能聽的出來，就知道他講的大概意思；能夠知道他講的大概意思，就能夠用幾個簡單的單字回應；能夠回應，也就能夠對話；當能夠對話，就能夠再修正文法、句型、語調。


我的目地就是希望自己至少能聽的懂人家在說什麼，用英文跟人家對話，大家共同努力、學習。若有其它想法或對這套系統設計的建議，也可以與我聯絡：ichich2013@gmail.com

Fast By Default: Modern Loading Best Practices (Chrome Dev Summit 2017)
觀看次數：550
delivering
value
to
our
user
experiences
networks
it
could
be
thermal
throttling
parsing
javascript
cache
eviction
in
down
the
wire
caching
effectively
using
introduced
rail
a
user
centric
bit
we've
been
focused
on
a
newer
set
of
interactivity
now
alex
Russell
says
of
parsing
java
scripts
is
quite
heavy
time
it
takes
to
parse
javascript
on
modern
devices
of
high-end
devices
at
meg
of
decompressed
scripts
take
a
look
parse
scripts
on
you
then
use
serviceworker
4
pre-caching
toolkits
like
polymer
app
toolbox
and
a
granular
look
at
where
javascript
parse
dominates
in
many
cases
the
amount
parse
and
are
able
to
get
interactive
about
caching
something
that
we
haven't
rates
for
css
javascript
fonts
and
that
cache
doesn't
have
it
chrome's
then
releases
way
too
often
and
invalidating
those
cash
javascript
bundles
it
could
enough
http
caching
headers
set
so
interactive
on
first
load
and
let's
say
dollar
android
device
on
a
400
kilobytes
linked
with
a
400
milliseconds
round-trip
time
this
can
end
up
translating
into
a
budget
of
about
160
to
170
kilobytes
for
our
critical
kilobytes
your
ecosystem
pieces
like
frameworks
that
you're
using
when
you're
cpu
and
gpu
limits
keep
your
javascript
and
he
talks
about
real-world
graphs
that
we
were
highlighting
and
so
available
at
beta
hp
archiveorg
and
i'm
feature
counters
there's
newer
that
at
the
90th
percentile
sites
are
javascript
decompress
that's
going
to
be
mega
of
javascript
up
front
what
we
and
using
the
chrome
remote
debugging
and
what
this
highlights
is
java
patterns
like
code
splitting
and
it's
ensuring
that
we're
reducing
our
network
can
see
at
the
90th
percentile
sites
are
megabytes
of
resources
70%
of
this
is
interactive
and
at
the
90th
percentile
they're
interactive
that's
30
seconds
longer
than
the
budgets
that
we're
stage
ilya
grigorik
and
brian
mcquaid
it's
inspiring
to
see
examples
of
well
off
to
my
sights
delivering
great
user
the
web
are
we
improving
the
user
great
examples
that
we're
highlighting
initially
we're
focusing
on
loading
sample
of
10000
origins
which
is
schema
so
first
of
all
a
high-level
overview
the
report
itself
is
aggregated
have
examplecom
and
we're
providing
two
I
mentioned
we're
focusing
on
loading
metrics
to
start
so
we're
start
i'm
brian
mcquaid
i'm
a
software
bigquery
web
ui
and
so
what
what
we're
loads
on
the
dub-dub-dub
googlecom
full
paint
and
so
we're
defining
fast
that
81%
of
the
loads
on
dub-dub-dub
we're
querying
the
first
content
full
for
the
histogram
bins
for
that
metric
or
less
than
1000
milliseconds
all
right
to
normalize
so
we're
sort
of
dividing
aggregation
criteria
and
you
can
learn
desktop
we're
doing
reasonably
well
almost
half
of
page
loads
are
completing
analyzing
origins
you
do
these
kind
of
googlecom
origins
in
the
data
set
right
when
you're
comparing
origins
you
should
docs
which
have
a
walkthrough
guide
for
report
as
a
browser
what's
chrome
doing
work-in-progress
in
Safari
and
firefox
font
display
as
a
descriptor
allows
you
fonts
are
gonna
render
or
fallback
speeds
well
navigator
connection
type
we've
been
doing
in
chrome
this
uses
rtt
and
downlink
values
and
effectively
what
html
which
then
requires
some
javascript
in
chrome
serviceworker
boot
up
time
can
end
up
slow
connections
and
slow
devices
you
milliseconds
delaying
overall
serviceworker
boot
up
this
can
now
script
streaming
and
we're
also
working
so
let's
start
off
with
pinterest
reacts
react
redux
and
react
router
web
i'm
a
heavy
pinterest
user
myself
it
they
used
to
get
interactive
in
over
20
able
to
get
interactive
in
under
56
sizes
of
their
javascript
bundles
all
the
way
down
to
150
kilobytes
they've
reduced
the
sizes
of
their
css
bundles
at
the
90th
percentile
the
time
it
takes
loads
thanks
to
serviceworker
caching
interactive
in
under
4
seconds
on
of
their
native
app
on
ios
96
meg's
on
navigations
don't
end
up
costing
quite
dollars
are
up
by
44%
core
engagements
codes
their
reax
the
redux
to
react
synchronous
chunks
for
anything
that's
comments
they're
creating
a
loader
rendering
the
route
with
react
router
for
a
synchronously
loading
route
bundles
but
pure
components
as
needed
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rendering
components
as
their
nests
on
the
serviceworkers
front
they
were
runtime
caching
a
synchronous
chunks
of
javascript
so
that
they
could
be
opted
in
to
v8
s--
bytecode
cache
they
then
javascript
and
css
now
pinterest
are
pre
loading
their
javascript
bundles
next
up
we've
got
tinder
so
tinder
it's
rolled
out
globally
two-hundred
they
have
a
155
kilobyte
budget
for
statically
importing
in
everything
in
loadable
and
the
commons
trunk
plugin
so
were
opportunities
to
preload
in
scripts
adopting
code
splitting
for
tinder
ended
first
paint
by
500
milliseconds
and
lo
polyfills
and
so
they
used
babel
preset
optimizations
for
css
that
and
a
whole
http
cache
then
you
can
cache
it
for
you're
doing
it
a
much
more
granular
way
parsing
time
of
8%
so
they're
using
the
module
concatenation
plugin
and
there
as
work
box
for
their
offline
caching
their
his
talk
but
that's
it
for
tinder
than
the
baseline
that
you're
shipping

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