大家好，我是章北海
速查表是掌握一项技能非常棒的工具，随用随查，查漏补缺。
Python、Numpy、Pandas、Matplotlib、机器学习、深度学习、概率统计、线性代数、R、SQL、Latex、ChatGPT、AI绘画、大模型的速查表，市面上应该挺多的，尤其是公众号勤劳的号主们都整理过其中某一部分。
但，我这份应该是最全的，一共370多个图片和文件，文件大小合计400多兆，有些还是包含多页的PDF、PPT。很多是从外面搜集而来，确实非常费功夫。
大家真的需要挨个去找肯定也都能找到，但是要花费不少时间，就看你时间是否值钱了。
资料收费 29 元（可以加我好友：
mindszhang
直接发红包
🧧
，我发给你），
也可在此文中付款后自动下载
《全网最全 Python、机器学习、AI、LLM 速查表（100 余张）》
方式
：加好友，发红包🧧即可
资料合集目录、明细如下：
./Python/Finxter_WorldsMostDensePythonCheatSheet.pdf
./Python/python Cheat Sheet.jpeg
./Python/Python_Cheat_Sheet_for_Beginners.pdf
./Python/python.pdf
./Python/python-cheat-sheet-intermediate.pdf
./Python/Python-List-Methods-Cheat-Sheet.pdf
./Python/beginners_python_cheat_sheet_pcc_all.pdf
./Python/CheatSheet-Python-1-Keywords-1.pdf
./Python/CheatSheet-Python-8_-OO-Terminology.pdf
./Python/CheatSheet-Python-6_-Coding-Interview-Questions.pdf
./Python/11 types of variables in a Dataset.jpg
./Python/python-regular-expressions-cheat-sheet.pdf
./Python/Jupyter Notebook.pdf
./Python/CheatSheet-Python-5_-Functions-and-Tricks.pdf
./Python/CheatSheet-Python-5-Functions-and-Tricks.pdf
./Python/mementopython3.pdf
./Python/mementopython3-zh_cn.pdf
./Python/python-cheat-sheet-basic.pdf
./Python/davechild_python.pdf
./Python/PyCaret 3.0 cheat_sheet.pdf
./CSS/CSS Flexbox CheatSheet.jpeg
./CSS/wsu-css-cheat-sheet-gdocs.pdf
./Latex/Latex速查.pdf
./Latex/Latex速查.tex
./R/rstudio-ide.png
./R/syntax.png
./R/data-import.png
./R/mosaic.png
./R/oSCR.png
./R/rgee.png
./R/eurostat.png
./R/base-r.png
./R/shiny.png
./R/package-development.png
./R/collapse.png
./R/R-best-practice.png
./R/randomizr.png
./R/distr6.png
./R/vtree.png
./R/survminer.png
./R/Machine Learning Modelling in R.png
./R/teachR.png
./R/torch.png
./R/latex/collapse/collapse_cheat_sheet.pdf
./R/latex/collapse/collapse_cheat_sheet.Rnw
./R/latex/collapse/collapse_logo_vsmall.png
./R/latex/collapse/background_cropped.png
./R/latex/beamerthemeCS.sty
./R/latex/beamercolorthemeCS.sty
./R/latex/base-r/thirdcolumn.tex
./R/latex/base-r/base-r.pdf
./R/latex/base-r/macros.sty
./R/latex/base-r/sixthcolumn.tex
./R/latex/base-r/base-r.tex
./R/latex/base-r/firstcolumn.tex
./R/latex/base-r/fifthcolumn.tex
./R/latex/base-r/fourthcolumn.tex
./R/latex/base-r/secondcolumn.tex
./R/sas-r.png
./R/parallel_computation.png
./R/labelled.png
./R/xplain.png
./R/bayesplot.png
./R/sf.png
./R/keras.png
./R/h2o.png
./R/shiny-python.png
./R/pdf/package-development.pdf
./R/pdf/data-transformation_zh_cn.pdf
./R/pdf/collapse.pdf
./R/pdf/rgee.pdf
./R/pdf/data_table.pdf
./R/pdf/eurostat.pdf
./R/pdf/base-r.pdf
./R/pdf/shiny.pdf
./R/pdf/data-import.pdf
./R/pdf/sparklyr_zh_cn.pdf
./R/pdf/mosaic.pdf
./R/pdf/oSCR.pdf
./R/pdf/rstudio-ide.pdf
./R/pdf/syntax.pdf
./R/pdf/survminer.pdf
./R/pdf/regex.pdf
./R/pdf/vtree.pdf
./R/pdf/R-best-practice.pdf
./R/pdf/distr6.pdf
./R/pdf/randomizr.pdf
./R/pdf/bayesplot.pdf
./R/pdf/labelled.pdf
./R/pdf/parallel_computation.pdf
./R/pdf/xplain.pdf
./R/pdf/rmarkdown-2.0.pdf
./R/pdf/sas-r.pdf
./R/pdf/Machine Learning Modelling in R.pdf
./R/pdf/teachR.pdf
./R/pdf/torch.pdf
./R/pdf/data-visualization-2.1.pdf
./R/pdf/rmarkdown.pdf
./R/pdf/lubridate.pdf
./R/pdf/mlr.pdf
./R/pdf/packagefinder.pdf
./R/pdf/jfa.pdf
./R/pdf/gtsummary.pdf
./R/pdf/SamplingStrata.pdf
./R/pdf/vegan.pdf
./R/pdf/bcea.pdf
./R/pdf/SqueakR.pdf
./R/pdf/tidyr_zh_cn.pdf
./R/pdf/estimatr.pdf
./R/pdf/data-visualization_zh.pdf
./R/pdf/sf.pdf
./R/pdf/keras.pdf
./R/pdf/h2o.pdf
./R/pdf/shiny-python.pdf
./R/pdf/arrow.pdf
./R/pdf/caret.pdf
./R/pdf/base-r_zh.pdf
./R/pdf/nardl.pdf
./R/pdf/overviewR.pdf
./R/pdf/data-transformation.pdf
./R/pdf/strings.pdf
./R/pdf/tsbox.pdf
./R/pdf/declaredesign.pdf
./R/pdf/metrica.pdf
./R/pdf/time-series.pdf
./R/pdf/nimble.pdf
./R/pdf/quincunx.pdf
./R/pdf/how-big-is-your-graph.pdf
./R/pdf/data-visualization.pdf
./R/pdf/imputeTS.pdf
./R/pdf/datatable.pdf
./R/pdf/sjmisc.pdf
./R/pdf/gwasrapidd.pdf
./R/pdf/quanteda.pdf
./R/pdf/gganimate.pdf
./R/pdf/stata2r.pdf
./R/pdf/tidyr.pdf
./R/pdf/purrr.pdf
./R/pdf/factors.pdf
./R/pdf/quarto.pdf
./R/pdf/git-github.pdf
./R/pdf/keras_zh_cn.pdf
./R/pdf/cartography.pdf
./R/pdf/rphylopic.pdf
./R/pdf/DRomics.pdf
./R/pdf/reticulate.pdf
./R/pdf/plumber.pdf
./R/pdf/SASvsRinPharma.pdf
./R/pdf/mapsf.pdf
./R/pdf/slackr.pdf
./R/pdf/sparklyr.pdf
./R/pdf/tidyeval.pdf
./R/pdf/0-template.pdf
./R/pdf/leaflet.pdf
./R/pdf/golem.pdf
./R/arrow.png
./R/regular-expressions.png
./R/estimatr.png
./R/gtsummary.png
./R/SamplingStrata.png
./R/jfa.png
./R/bcea.png
./R/vegan.png
./R/mlr.png
./R/lubridate.png
./R/packagefinder.png
./R/rmarkdown.png
./R/datatable.png
./R/metrica.png
./R/time-series.png
./R/how-big-is-your-graph.png
./R/nimble.png
./R/quincunx.png
./R/imputeTS.png
./R/data-visualization.png
./R/overviewR.png
./R/data-transformation.png
./R/strings.png
./R/declaredesign.png
./R/tsbox.png
./R/nardl.png
./R/caret.png
./R/gganimate.png
./R/stata2r.png
./R/tidyr.png
./R/gwasrapidd.png
./R/quanteda.png
./R/sjmisc.png
./R/mapsf.png
./R/SASvsRinPharma.png
./R/slackr.png
./R/reticulate.png
./R/plumber.png
./R/R-cheatsheet-PPT/quanteda.pptx
./R/R-cheatsheet-PPT/data-import.pptx
./R/R-cheatsheet-PPT/reticulate.pptx
./R/R-cheatsheet-PPT/lubridate.pptx
./R/R-cheatsheet-PPT/tidyeval.pptx
./R/R-cheatsheet-PPT/keras.pptx
./R/R-cheatsheet-PPT/metrica.pptx
./R/R-cheatsheet-PPT/arrow.pptx
./R/R-cheatsheet-PPT/0-template.pptx
./R/R-cheatsheet-PPT/package-development.pptx
./R/R-cheatsheet-PPT/caret.pptx
./R/R-cheatsheet-PPT/shiny-python.pptx
./R/R-cheatsheet-PPT/shiny.pptx
./R/R-cheatsheet-PPT/strings.pptx
./R/R-cheatsheet-PPT/imputeTS.pptx
./R/R-cheatsheet-PPT/data-visualization.pptx
./R/R-cheatsheet-PPT/SASvsRinPharma.pptx
./R/R-cheatsheet-PPT/DRomics.pptx
./R/R-cheatsheet-PPT/datatable.pptx
./R/R-cheatsheet-PPT/h2o.pptx
./R/R-cheatsheet-PPT/sas-r.pptx
./R/R-cheatsheet-PPT/stata2r.pptx
./R/R-cheatsheet-PPT/labelled.pptx
./R/R-cheatsheet-PPT/data-transformation.pptx
./R/R-cheatsheet-PPT/sparklyr.pptx
./R/R-cheatsheet-PPT/data_table.pptx
./R/R-cheatsheet-PPT/purrr.pptx
./R/R-cheatsheet-PPT/git-github.pptx
./R/R-cheatsheet-PPT/gtsummary.pptx
./R/R-cheatsheet-PPT/tidyr.pptx
./R/R-cheatsheet-PPT/rmarkdown.pptx
./R/R-cheatsheet-PPT/regex.pptx
./R/R-cheatsheet-PPT/quarto.pptx
./R/R-cheatsheet-PPT/factors.pptx
./R/R-cheatsheet-PPT/rstudio-ide.pptx
./R/R-cheatsheet-PPT/plumber.pptx
./R/R-cheatsheet-PPT/jfa.pptx
./R/cartography.png
./R/DRomics.png
./R/rphylopic.png
./R/purrr.png
./R/quarto.png
./R/git-github.png
./R/factors.png
./R/leaflet.png
./R/golem.png
./R/0-template.png
./R/sparklyr.png
./R/tidyeval.png
./R/advanced-R.png
./Numpy/numpy-cheatsheet-dailydosedf.jpeg
./Numpy/Numpy_Python_Cheat_Sheet-zh.png
./Numpy/Numpy_Python_Cheat_Sheet-zh.pdf
./Numpy/numpy_cheat_sheet.pdf
./Numpy/numpy.jpeg
./Numpy/Numpy_Python_Cheat_Sheet.pdf
./Numpy/11-Numpy-Cheat-Sheet.pdf
./Numpy/numpy-cheat-sheet.pdf
./大模型/AI机器学习神经网络深度学习生成式AI.jpeg
./大模型/GNGWQhtbcAAvrze.jpeg
./大模型/rag vs fineTuning.png
./大模型/workflow of a RAG application.webp
./大模型/5 Chunking Strategies For RAG explained in a single frame.mp4
./大模型/ai edu map.png
./大模型/Basic and Advanced RAG.jpeg
./大模型/ai agents 全景图.jpeg
./大模型/RAPTOR.png
./大模型/What Matters In Transformers.jpeg
./大模型/5 Chunking Strategies For RAG explained in a single frame.jpg
./大模型/rag.jpeg
./大模型/llm 学习路线图.jpeg
./大模型/4 strategies for Multi-GPU training.jpg
./大模型/RAGFlow系统架构.png
./大模型/workflow of a RAG application.png
./大模型/ai-outsea.jpeg
./机器学习-深度学习/test_ml Cheat Sheet.pdf
./机器学习-深度学习/cheatsheet-supervised-learning.pdf
./机器学习-深度学习/cheatsheet-deep-learning.pdf
./机器学习-深度学习/super-cheatsheet-machine-learning.pdf
./机器学习-深度学习/DATA SCIENCE LIFECYCLE.jpeg
./机器学习-深度学习/NeuralNetworkZoo20042019.png
./机器学习-深度学习/PythonForDataScience.pdf
./机器学习-深度学习/Importing_Data_Python_Cheat_Sheet.pdf
./机器学习-深度学习/cheatsheet-recurrent-neural-networks.pdf
./机器学习-深度学习/The Roadmap of Mathematics for Machine Learning.png
./机器学习-深度学习/machine-learning-cheat-sheet.pdf
./机器学习-深度学习/machine-learning-cheet-sheet-2.png
./机器学习-深度学习/machine-learning-algorithm-cheat-sheet.png
./机器学习-深度学习/12-Machine-Learning-Algorithms-1.pdf
