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@yanedie yanedie commented Dec 6, 2023

If this PR is related to coding or code translation, please fill out the checklist and paste the console outputs to the PR.

  • I've tested the code and ensured the outputs are the same as the outputs of reference code.
  • I've checked the code (formatting, comments, indentation, file header, etc) carefully.
  • The code does not rely on a particular environment or IDE and can be executed on a standard system (Win, macOS, Ubuntu).

@yanedie yanedie changed the title update classification_of_data_structure.md translation: Update chapter_data_structure/classification_of_data_structure.md Dec 6, 2023
@krahets krahets added translation English translation documents documents-related labels Dec 7, 2023
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overall I think its really good. what i suggested are just optional and some minor suggestions. its consistent to the CN version.
But I'm not an expert at this, so might need to be rechecked.


## Physical Structure: Continuous vs. Dispersed

In computers, memory and hard disk are the two main storage hardware devices. Hard disks are used primarily for long-term data storage, and are larger (usually up to the terabyte degree) and slower. Memory is used for temporary storage of data while running a program, and is faster, but has a smaller capacity (usually at the GB level).
**When an algorithm is running, the data being processed is stored in memory**. The figure below shows a computer memory module where each black square represents a memory space. We can think of the memory as a giant Excel sheet in which each cell can store data of a certain size.
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Hi yanedie
the word "below" can be changed to "3-2" to make it more specific, can maintains the consistency of the CN version.

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Hi @K3v123, the figures will be numbered automatically in the build script. We don't need to manually modify it.

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uh... I see, haha. thanks for letting me know Krahets. (;・∀・)b

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Thanks for the PR and the review by @K3v123 !


## Physical Structure: Continuous vs. Dispersed

In computers, memory and hard disk are the two main storage hardware devices. Hard disks are used primarily for long-term data storage, and are larger (usually up to the terabyte degree) and slower. Memory is used for temporary storage of data while running a program, and is faster, but has a smaller capacity (usually at the GB level).
**When an algorithm is running, the data being processed is stored in memory**. The figure below shows a computer memory module where each black square represents a memory space. We can think of the memory as a giant Excel sheet in which each cell can store data of a certain size.
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Hi @K3v123, the figures will be numbered automatically in the build script. We don't need to manually modify it.

@krahets krahets merged commit 7b60f1e into krahets:en Dec 21, 2023
krahets added a commit that referenced this pull request Dec 21, 2023
…roduction and complexity analysis(part) (#994)

* Translate 1.0.0b6 release with the machine learning translator.

* Update Dockerfile
A few translation improvements.

* Fix a badge logo.

* Fix EN translation of chapter_appendix/terminology.md (#913)

* Update README.md

* Update README.md

* translation: Refined the automated translation of README (#932)

* refined the automated translation of README

* Update index.md

* Update mkdocs-en.yml

---------

Co-authored-by: Yudong Jin <krahets@163.com>

* translate: Embellish chapter_computational_complexity/index.md (#940)

* translation: Update chapter_computational_complexity/performance_evaluation.md (#943)

* Update performance_evaluation.md

* Update performance_evaluation.md

* Update performance_evaluation.md

change 'methods' to 'approaches' on line 15

* Update performance_evaluation.md

on line 21, change the sentence to 'the results could be the opposite on another computer with different specifications.'

* Update performance_evaluation.md

delete two short sentence on line 5 and 6

* Update performance_evaluation.md

change `unavoidable` to `inevitable` on line 48

* Update performance_evaluation.md

small changes on line 23

* translation: Update terminology and improve readability in preface summary (#954)

* Update terminology and improve readability in preface summary

This commit made a few adjustments in the 'summary.md' file for clearer and more accessible language. "Brushing tool library" was replaced with "Coding Toolkit" to better reflect common terminology. Also, advice for beginners in algorithm learning journey was reformulated to imply a more positive approach avoiding detours and common pitfalls. The section related to the discussion forum was rewritten to sound more inviting to readers.

* Format

* Optimize the translation of
chapter_introduction/algorithms_are_everywhere.

* Add .gitignore to Java subfolder.

* Update the button assets.

* Fix the callout

* translation: chapter_computational_complexity/summary to en (#953)

* translate chapter_computational_complexity/summary

* minor format

* Update summary.md with comment

* Update summary.md

* Update summary.md

* translation: chapter_introduction/what_is_dsa.md (#962)

* Optimize translation of what_is_dsa.md

* Update

* translation: chapter_introduction/summary.md (#963)

* Translate chapter_introduction/summary.md

* Update

* translation: Update README.md (#964)

* Update en translation of README.md

* Update README.md

* translation: update space_complexity.md (#970)

* update space_complexity.md

* the rest of translation piece

* Update space_complexity.md

---------

Co-authored-by: ThomasQiu <thomas.qiu@mnfgroup.limited>
Co-authored-by: Yudong Jin <krahets@163.com>

* translation: Update chapter_introduction/index.md (#971)

* Update index.md

sorry, first time doing this... now this is the final change.
changes:
title of the chapter is shorter.
refined the abstract.

* Update index.md

---------

Co-authored-by: Yudong Jin <krahets@163.com>

* translation: Update chapter_data_structure/classification_of_data_structure.md (#980)

* update classification_of_data_structure.md

* Update classification_of_data_structure.md

---------

Co-authored-by: Yudong Jin <krahets@163.com>

* translation: Update chapter_introduction/algorithms_are_everywhere.md (#972)

* Update algorithms_are_everywhere.md

changed or refined parts of the words and sentences including tips.
Some of them I didnt change that much because im worried that it might not meet the requirement of accuracy. 
some other ones i changed a lot to make it sound better, but also kind of following the same wording as the CN version

* Update algorithms_are_everywhere.md

re-edited the dictionary part from Piyin to just normal Eng dictionary. 
again thank you very much hpstory for you suggestion.

* Update algorithms_are_everywhere.md

---------

Co-authored-by: Yudong Jin <krahets@163.com>

* Prepare merging into main branch.

* Update buttons

* Update Dockerfile

* Update index.md

* Update index.md

* Update README

* Fix index.md

* Fix mkdocs-en.yml

---------

Co-authored-by: Yuelin Xin <sc20yx2@leeds.ac.uk>
Co-authored-by: Phoenix Xie <phoenixx0415@gmail.com>
Co-authored-by: Sizhuo Long <longsizhuo@gmail.com>
Co-authored-by: Spark <qizhang94@outlook.com>
Co-authored-by: Thomas <thomasqiu7@gmail.com>
Co-authored-by: ThomasQiu <thomas.qiu@mnfgroup.limited>
Co-authored-by: K3v123 <123932560+K3v123@users.noreply.github.com>
Co-authored-by: Jin <36914748+yanedie@users.noreply.github.com>
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3 participants