# 目錄

* 📁 [Computer\_Science](computer_science)
  * 📁 [1.Data\_Structure](computer_science/1.data_structure)
    * 📄 [1.Linked\_List.md](computer_science/1.data_structure/1.linked_list)
    * 📄 [2.Queue.md](computer_science/1.data_structure/2.queue)
    * 📄 [3.Stack.md](computer_science/1.data_structure/3.stack)
    * 📄 [4.Hash\_table.md](computer_science/1.data_structure/4.hash_table)
    * 📄 [5.Tree.md](computer_science/1.data_structure/5.tree)
    * 📄 [6.Heap.md](computer_science/1.data_structure/6.heap)
  * 📁 [2.Algorithm](computer_science/2.algorithm)
    * 📄 [1.BFS.md](computer_science/2.algorithm/1.bfs)
    * 📄 [2.DFS.md](computer_science/2.algorithm/2.dfs)
    * 📄 [3.Heap\_Sort.md](computer_science/2.algorithm/3.heap_sort)
  * 📁 [3.Operating\_Systems](computer_science/3.operating_systems)
    * 📁 [Linux](computer_science/3.operating_systems/linux)
      * 📄 [Regex.md](computer_science/3.operating_systems/linux/regex)
      * 📄 [awk.md](computer_science/3.operating_systems/linux/awk)
      * 📄 [bash.md](computer_science/3.operating_systems/linux/bash)
      * 📄 [grep.md](computer_science/3.operating_systems/linux/grep)
      * 📄 [sed.md](computer_science/3.operating_systems/linux/sed)
  * 📁 [4.Front-end](computer_science/4.front-end)
    * 📁 [css](https://github.com/benson1231/gitbook/blob/main/Computer_Science/4.Front-end/css/README.md)
      * 📄 [Basic.md](computer_science/4.front-end/css/basic)
      * 📄 [BoxModel.md](computer_science/4.front-end/css/boxmodel)
      * 📄 [Breadcrumbs.md](computer_science/4.front-end/css/breadcrumbs)
      * 📄 [Color.md](computer_science/4.front-end/css/color)
      * 📄 [Font.md](computer_science/4.front-end/css/font)
      * 📄 [Pseudo\_classes.md](computer_science/4.front-end/css/pseudo_classes)
      * 📄 [RWD.md](computer_science/4.front-end/css/rwd)
      * 📄 [display.md](computer_science/4.front-end/css/display)
    * 📁 [html](https://github.com/benson1231/gitbook/blob/main/Computer_Science/4.Front-end/html/README.md)
      * 📄 [HTML屬性.md](computer_science/4.front-end/html/html-shu-xing)
      * 📄 [HTML標籤.md](computer_science/4.front-end/html/html-biao-qian)
    * 📁 [javascript](computer_science/4.front-end/javascript)
      * 📄 [DOM.md](computer_science/4.front-end/javascript/dom)
      * 📄 [Destructuring\_Assignment.md](computer_science/4.front-end/javascript/destructuring_assignment)
      * 📄 [copy.md](computer_science/4.front-end/javascript/copy)
      * 📄 [event.md](computer_science/4.front-end/javascript/event)
      * 📄 [fetch.md](computer_science/4.front-end/javascript/fetch)
      * 📄 [module.md](computer_science/4.front-end/javascript/module)
      * 📄 [object.md](computer_science/4.front-end/javascript/object)
      * 📄 [proxy.md](computer_science/4.front-end/javascript/proxy)
      * 📄 [rest.md](computer_science/4.front-end/javascript/rest)
    * 📁 [react](computer_science/4.front-end/react)
      * 📄 [Deploy.md](computer_science/4.front-end/react/deploy)
    * 📁 [tools](https://github.com/benson1231/gitbook/blob/main/Computer_Science/4.Front-end/tools/README.md)
      * 📄 [npm.md](computer_science/4.front-end/tools/npm)
      * 📄 [vite.md](computer_science/4.front-end/tools/vite)
      * 📄 [webpack.md](computer_science/4.front-end/tools/webpack)
    * 📁 [typescript](computer_science/4.front-end/typescript)
    * 📁 [vue](computer_science/4.front-end/vue)
  * 📁 [5.Back-end](computer_science/5.back-end)
    * 📁 [FastAPI](computer_science/5.back-end/fastapi)
      * 📄 [1.Routing.md](computer_science/5.back-end/fastapi/1.routing)
      * 📄 [2.Query\_String.md](computer_science/5.back-end/fastapi/2.query_string)
      * 📄 [3.Response.md](computer_science/5.back-end/fastapi/3.response)
      * 📄 [4.Static\_File.md](computer_science/5.back-end/fastapi/4.static_file)
      * 📄 [5.Form.md](computer_science/5.back-end/fastapi/5.form)
      * 📄 [6.Methods.md](computer_science/5.back-end/fastapi/6.methods)
      * 📄 [7.Request\_Body.md](computer_science/5.back-end/fastapi/7.request_body)
      * 📄 [8.FastAPI\_DB.md](computer_science/5.back-end/fastapi/8.fastapi_db)
      * 📄 [9.RESTful\_API.md](computer_science/5.back-end/fastapi/9.restful_api)
    * 📄 [URL.md](computer_science/5.back-end/url)
  * 📁 [6.DevOps](computer_science/6.devops)
    * 📄 [Docker.md](computer_science/6.devops/docker)
    * 📄 [Git.md](computer_science/6.devops/git)
    * 📄 [Read\_the\_Docs.md](computer_science/6.devops/read_the_docs)
    * 📄 [gitflow\_model.md](computer_science/6.devops/gitflow_model)
    * 📄 [github\_flow\_model.md](computer_science/6.devops/github_flow_model)
  * 📁 [7.Database](computer_science/7.database)
    * 📁 [mongoDB](computer_science/7.database/mongodb)
      * 📄 [syntax.md](computer_science/7.database/mongodb/syntax)
    * 📁 [mysql](computer_science/7.database/mysql)
      * 📄 [aggregate.md](computer_science/7.database/mysql/aggregate)
      * 📄 [basic.md](computer_science/7.database/mysql/basic)
      * 📄 [filter.md](computer_science/7.database/mysql/filter)
      * 📄 [foreign.md](computer_science/7.database/mysql/foreign)
      * 📄 [index.md](computer_science/7.database/mysql/index)
      * 📄 [join.md](computer_science/7.database/mysql/join)
      * 📄 [mysql\_python.md](computer_science/7.database/mysql/mysql_python)
      * 📄 [update.md](computer_science/7.database/mysql/update)
* 📁 [Data\_Science](https://github.com/benson1231/gitbook/blob/main/Data_Science/README.md)
  * 📁 [1.Environment](data_science/1.environment)
    * 📄 [miniconda.md](data_science/1.environment/miniconda)
  * 📁 [2.Machine\_Learning](data_science/2.machine_learning)
    * 📁 [1.Theoretical\_Concepts](data_science/2.machine_learning/1.theoretical_concepts)
      * 📄 [Bias\_Variance\_Tradeoff.md](data_science/2.machine_learning/1.theoretical_concepts/bias_variance_tradeoff)
      * 📄 [Curse\_of\_Dimensionality.md](data_science/2.machine_learning/1.theoretical_concepts/curse_of_dimensionality)
      * 📄 [Distance\_Metrics.md](data_science/2.machine_learning/1.theoretical_concepts/distance_metrics)
      * 📄 [Loss\_Functions.md](data_science/2.machine_learning/1.theoretical_concepts/loss_functions)
      * 📄 [Overfitting\_vs\_Underfitting.md](data_science/2.machine_learning/1.theoretical_concepts/overfitting_vs_underfitting)
      * 📄 [Parametric\_vs\_Nonparametric\_Models.md](data_science/2.machine_learning/1.theoretical_concepts/parametric_vs_nonparametric_models)
    * 📁 [2.Feature\_Engineering](data_science/2.machine_learning/2.feature_engineering)
      * 📄 [Feature\_Encoding.md](data_science/2.machine_learning/2.feature_engineering/feature_encoding)
      * 📄 [Lasso\_regression.md](data_science/2.machine_learning/2.feature_engineering/lasso_regression)
      * 📄 [Normalization.md](data_science/2.machine_learning/2.feature_engineering/normalization)
      * 📄 [Regularization.md](data_science/2.machine_learning/2.feature_engineering/regularization)
      * 📄 [Ridge\_Regression.md](data_science/2.machine_learning/2.feature_engineering/ridge_regression)
    * 📁 [3.Dimensionality\_Reduction](data_science/2.machine_learning/3.dimensionality_reduction)
      * 📄 [LDA.md](data_science/2.machine_learning/3.dimensionality_reduction/lda)
      * 📄 [PCA.md](data_science/2.machine_learning/3.dimensionality_reduction/pca)
      * 📄 [UMAP.md](data_science/2.machine_learning/3.dimensionality_reduction/umap)
      * 📄 [t-SNE.md](data_science/2.machine_learning/3.dimensionality_reduction/t-sne)
    * 📁 [4.Supervised\_Learning](data_science/2.machine_learning/4.supervised_learning)
      * 📁 [Classification](https://github.com/benson1231/gitbook/blob/main/Data_Science/2.Machine_Learning/4.Supervised_Learning/Classification/README.md)
        * 📄 [Decision\_Tree.md](data_science/2.machine_learning/4.supervised_learning/classification/decision_tree)
        * 📄 [KNN.md](data_science/2.machine_learning/4.supervised_learning/classification/knn)
        * 📄 [Multiple\_Linear\_Regression.md](data_science/2.machine_learning/4.supervised_learning/classification/multiple_linear_regression)
        * 📄 [Naive\_Bayes\_Classifier.md](data_science/2.machine_learning/4.supervised_learning/classification/naive_bayes_classifier)
        * 📄 [Random\_Forests.md](data_science/2.machine_learning/4.supervised_learning/classification/random_forests)
        * 📄 [SVM.md](data_science/2.machine_learning/4.supervised_learning/classification/svm)
      * 📁 [Regression](https://github.com/benson1231/gitbook/blob/main/Data_Science/2.Machine_Learning/4.Supervised_Learning/Regression/README.md)
        * 📄 [Logistic\_Regression.md](data_science/2.machine_learning/4.supervised_learning/regression/logistic_regression)
        * 📄 [Recommender.md](data_science/2.machine_learning/4.supervised_learning/regression/recommender)
        * 📄 [Simple\_Linear\_Regression.md](data_science/2.machine_learning/4.supervised_learning/regression/simple_linear_regression)
    * 📁 [5.Unsupervised\_Learning](data_science/2.machine_learning/5.unsupervised_learning)
      * 📄 [Hierarchical\_Clustering.md](data_science/2.machine_learning/5.unsupervised_learning/hierarchical_clustering)
      * 📄 [K\_Means.md](data_science/2.machine_learning/5.unsupervised_learning/k_means)
    * 📁 [6.Training\_Settings](data_science/2.machine_learning/6.training_settings)
      * 📄 [Cross\_Validation.md](data_science/2.machine_learning/6.training_settings/cross_validation)
      * 📄 [Hyperparameters\_and\_Fine\_tuning.md](data_science/2.machine_learning/6.training_settings/hyperparameters_and_fine_tuning)
      * 📄 [Optimizer.md](data_science/2.machine_learning/6.training_settings/optimizer)
      * 📄 [Train\_Test\_Split.md](data_science/2.machine_learning/6.training_settings/train_test_split)
      * 📄 [Wrapper\_Methods.md](data_science/2.machine_learning/6.training_settings/wrapper_methods)
    * 📁 [7.Evaluation](data_science/2.machine_learning/7.evaluation)
      * 📄 [Performance.md](data_science/2.machine_learning/7.evaluation/performance)
      * 📄 [ROC\_and\_PR\_Curves.md](data_science/2.machine_learning/7.evaluation/roc_and_pr_curves)
      * 📄 [SHAP.md](data_science/2.machine_learning/7.evaluation/shap)
    * 📁 [8.Ensembling\_Methods](data_science/2.machine_learning/8.ensembling_methods)
      * 📄 [Bagging.md](data_science/2.machine_learning/8.ensembling_methods/bagging)
      * 📄 [Boosting.md](data_science/2.machine_learning/8.ensembling_methods/boosting)
      * 📄 [Stacking.md](data_science/2.machine_learning/8.ensembling_methods/stacking)
  * 📁 [3.Deep\_Learning](data_science/3.deep_learning)
  * 📁 [4.Workflow](data_science/4.workflow)
    * 📁 [nextflow](https://github.com/benson1231/gitbook/blob/main/Data_Science/4.Workflow/nextflow/README.md)
      * 📄 [CSV.md](https://github.com/benson1231/gitbook/blob/main/Data_Science/4.Workflow/nextflow/CSV.md)
      * 📄 [channel.md](https://github.com/benson1231/gitbook/blob/main/Data_Science/4.Workflow/nextflow/channel.md)
      * 📄 [config.md](https://github.com/benson1231/gitbook/blob/main/Data_Science/4.Workflow/nextflow/config.md)
      * 📄 [input\_outout.md](https://github.com/benson1231/gitbook/blob/main/Data_Science/4.Workflow/nextflow/input_outout.md)
      * 📄 [module.md](https://github.com/benson1231/gitbook/blob/main/Data_Science/4.Workflow/nextflow/module.md)
      * 📄 [params.md](https://github.com/benson1231/gitbook/blob/main/Data_Science/4.Workflow/nextflow/params.md)
      * 📄 [run.md](https://github.com/benson1231/gitbook/blob/main/Data_Science/4.Workflow/nextflow/run.md)
    * 📁 [snakemake](data_science/4.workflow/snakemake)
      * 📄 [snakemake\_CLI.md](data_science/4.workflow/snakemake/snakemake_cli)
      * 📄 [snakemake\_rules.md](data_science/4.workflow/snakemake/snakemake_rules)
* 📁 [Languages](https://github.com/benson1231/gitbook/blob/main/Languages/README.md)
  * 📁 [English\_for\_engineer](languages/english_for_engineer)
  * 📁 [Latex](languages/latex)
  * 📁 [Markdown](languages/markdown)
  * 📁 [Python](https://github.com/benson1231/gitbook/blob/main/Languages/Python/README.md)
    * 📄 [CSV.md](languages/python/csv)
    * 📄 [Concurrent\_Programming.md](languages/python/concurrent_programming)
    * 📄 [Decorator.md](languages/python/decorator)
    * 📄 [Dunder.md](languages/python/dunder)
    * 📄 [Exception.md](languages/python/exception)
    * 📄 [JSON.md](languages/python/json)
    * 📄 [OOP.md](languages/python/oop)
    * 📁 [Package](https://github.com/benson1231/gitbook/blob/main/Languages/Python/Package/README.md)
      * 📄 [argparse.md](languages/python/package/argparse)
      * 📄 [logging.md](languages/python/package/logging)
      * 📄 [matplotlib.md](languages/python/package/matplotlib)
      * 📄 [numpy.md](languages/python/package/numpy)
      * 📄 [requests.md](languages/python/package/requests)
      * 📄 [skimage.md](languages/python/package/skimage)
      * 📄 [sklearn.md](languages/python/package/sklearn)
    * 📄 [Paradigms\_of\_Programming.md](languages/python/paradigms_of_programming)
    * 📄 [String\_Format.md](languages/python/string_format)
    * 📄 [Unit\_Testing.md](languages/python/unit_testing)
    * 📄 [lambda.md](languages/python/lambda)
  * 📁 [R](languages/r)
  * 📁 [SQL](languages/sql)
* 📁 [Medical\_Database](https://github.com/benson1231/gitbook/blob/main/Medical_Database/README.md)
  * 📄 [GTEx.md](medical_database/gtex)
  * 📄 [TCGA.md](medical_database/tcga)
  * 📄 [TWB.md](medical_database/twb)
  * 📄 [UKB.md](medical_database/ukb)
* 📁 [NGS](ngs)
  * 📁 [1.introduction\_of\_NGS](ngs/1.introduction_of_ngs)
    * 📄 [1.16s\_rRNA.md](ngs/1.introduction_of_ngs/1.16s_rrna)
    * 📄 [10.CNV.md](ngs/1.introduction_of_ngs/10.cnv)
    * 📄 [11.Shotgun.md](ngs/1.introduction_of_ngs/11.shotgun)
    * 📄 [2.RNAseq.md](ngs/1.introduction_of_ngs/2.rnaseq)
    * 📄 [3.WGS.md](ngs/1.introduction_of_ngs/3.wgs)
    * 📄 [4.WES.md](ngs/1.introduction_of_ngs/4.wes)
    * 📄 [5.scRNAseq.md](ngs/1.introduction_of_ngs/5.scrnaseq)
    * 📄 [6.Methylation.md](ngs/1.introduction_of_ngs/6.methylation)
    * 📄 [7.WGBS.md](ngs/1.introduction_of_ngs/7.wgbs)
    * 📄 [8.CHIP\_seq.md](ngs/1.introduction_of_ngs/8.chip_seq)
    * 📄 [9.ATAC\_seq.md](ngs/1.introduction_of_ngs/9.atac_seq)
    * 📄 [pair\_end.md](ngs/1.introduction_of_ngs/pair_end)
  * 📁 [2.Bioinformatics\_Tools](ngs/2.bioinformatics_tools)
    * 📄 [BCFtools.md](ngs/2.bioinformatics_tools/bcftools)
    * 📄 [BEDtools.md](ngs/2.bioinformatics_tools/bedtools)
    * 📄 [SAMtools.md](ngs/2.bioinformatics_tools/samtools)
    * 📄 [VCFtools.md](ngs/2.bioinformatics_tools/vcftools)
    * 📄 [Vcf2maf.md](ngs/2.bioinformatics_tools/vcf2maf)
    * 📄 [md5.md](ngs/2.bioinformatics_tools/md5)
  * 📁 [3.Data\_format](https://github.com/benson1231/gitbook/blob/main/NGS/3.Data_format/README.md)
    * 📄 [1.Data\_format.md](ngs/3.data_format/1.data_format)
    * 📄 [2.Fasta.md](ngs/3.data_format/2.fasta)
    * 📄 [3.Fastq.md](ngs/3.data_format/3.fastq)
    * 📄 [4.SAM.md](ngs/3.data_format/4.sam)
    * 📄 [5.BAM.md](ngs/3.data_format/5.bam)
  * 📁 [4.16s\_rRNA\_seq](ngs/4.16s_rrna_seq)
    * 📄 [DADA2.md](ngs/4.16s_rrna_seq/dada2)
    * 📄 [diversity.md](ngs/4.16s_rrna_seq/diversity)
* 📁 [Others](others)
  * 📁 [Accounting](https://github.com/benson1231/gitbook/blob/main/Others/Accounting/README.md)
    * 📄 [Discount\_Rate.md](others/accounting/discount_rate)
  * 📁 [Chemical](https://github.com/benson1231/gitbook/blob/main/Others/Chemical/README.md)
    * 📄 [RDKit.md](others/chemical/rdkit)
* 📄 [Resource.md](resource)
* 📁 [Statistics](statistics)
  * 📁 [1.Theoretical\_Concepts](statistics/1.theoretical_concepts)
  * 📁 [2.Probability\_and\_Distributions](statistics/2.probability_and_distributions)
  * 📁 [3.Hypothesis\_Testing](statistics/3.hypothesis_testing)
  * 📁 [4.Statistical\_Techniques](statistics/4.statistical_techniques)
    * 📄 [ANOVA.md](statistics/4.statistical_techniques/anova)
    * 📄 [Chi-square\_Tests.md](statistics/4.statistical_techniques/chi-square_tests)
    * 📄 [Correlation.md](statistics/4.statistical_techniques/correlation)
    * 📄 [Descriptive\_Statistics.md](statistics/4.statistical_techniques/descriptive_statistics)
    * 📄 [Non\_parametric\_Tests.md](statistics/4.statistical_techniques/non_parametric_tests)
    * 📄 [Paired\_Comparisons.md](statistics/4.statistical_techniques/paired_comparisons)
    * 📄 [Survival\_Analysis.md](statistics/4.statistical_techniques/survival_analysis)
    * 📄 [T\_tests\_and\_Z\_tests.md](statistics/4.statistical_techniques/t_tests_and_z_tests)
* 📄 [gitbook\_tree.md](gitbook_tree)
