首页 磁力链接怎么用

[UdemyCourseDownloader] Python Pandas and Altair Data Science & Visualization Course

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2019-2-14 19:20 2024-6-28 23:47 165 5.31 GB 85
磁力链接
magnet:?xt=urn:btih:80c99c21b5fd38412e821cb199f9a720aa9088b9
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjgwYzk5YzIxYjVmZDM4NDEyZTgyMWNiMTk5ZjlhNzIwYWE5MDg4YjlaWg==
二维码链接
[UdemyCourseDownloader] Python Pandas and Altair Data Science & Visualization Course的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接，内容跟本站无关！
相关链接

UdemyCourseDownloader Python Pandas and Altair Data Science & Visualization Course

文件列表
  1. 03. Python 3 on Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4229.14MB
  2. 01. Introduction/1. Please leave your feedback.mp43.65MB
  3. 01. Introduction/2. Scientific Python Ecosystem.mp426.96MB
  4. 02. Python 3 on Windows/1. Python 3 Installation on Windows.mp475.19MB
  5. 02. Python 3 on Windows/2. Verify Python 3 on Windows.mp433.41MB
  6. 03. Python 3 on Raspberry Pi/1. What is Raspberry Pi.mp445.35MB
  7. 03. Python 3 on Raspberry Pi/2. Unboxing of RPi 3B+.mp484.49MB
  8. 03. Python 3 on Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4183.94MB
  9. 03. Python 3 on Raspberry Pi/6. Remote Connection with VNC.mp4122.6MB
  10. 03. Python 3 on Raspberry Pi/8. Python 3 on Raspberry Pi.mp459.64MB
  11. 04. Python 3 Basics/1. Hello World on Windows.mp415.91MB
  12. 04. Python 3 Basics/2. Hello World on Raspberry Pi.mp442.02MB
  13. 04. Python 3 Basics/3. Interpreter vs Script.mp482.01MB
  14. 04. Python 3 Basics/4. IDLE.mp491MB
  15. 04. Python 3 Basics/5. RPi vs PC.mp448.72MB
  16. 05. Python Package Index and pip/1. Python Package Index and pip.mp432.48MB
  17. 05. Python Package Index and pip/2. pip on Windows.mp432.36MB
  18. 05. Python Package Index and pip/3. pip on Raspberry Pi.mp482.32MB
  19. 06. Install Matplotlib and NumPy on Raspberry Pi/1. Install Matplotlib and NumPy on Windows.mp447.26MB
  20. 06. Install Matplotlib and NumPy on Raspberry Pi/2. Install Matplotlib and NumPy on Raspberry Pi.mp463.46MB
  21. 07. Jupyter Notebook/1. Jupyter and IPython.mp4110.84MB
  22. 07. Jupyter Notebook/2. Jupyter Installation on Windows.mp447.09MB
  23. 07. Jupyter Notebook/3. Jupyter Installation on Raspberry Pi.mp463.6MB
  24. 07. Jupyter Notebook/4. Remote Connection with PuTTY.mp437.55MB
  25. 07. Jupyter Notebook/5. Connecting to a remote Jupyter Notebook.mp454.54MB
  26. 07. Jupyter Notebook/6. A brief tour of Jupyter.mp4153.02MB
  27. 08. Getting Started with NumPy/1. Introduction to NumPy.mp419.51MB
  28. 08. Getting Started with NumPy/2. Ndarrays Indexing and Slicing.mp4129.11MB
  29. 08. Getting Started with NumPy/3. Ndarray Properties.mp442.49MB
  30. 08. Getting Started with NumPy/4. NumPy Constants.mp416.72MB
  31. 09. Creation of Arrays and Matplotlib/1. Ones and Zeros.mp447.51MB
  32. 09. Creation of Arrays and Matplotlib/2. Matrices.mp430.26MB
  33. 09. Creation of Arrays and Matplotlib/3. Matplotlib.mp415.76MB
  34. 09. Creation of Arrays and Matplotlib/4. Numerical Ranges and Visualization.mp4102.79MB
  35. 10. Random Sampling/1. Random Sampling.mp432.87MB
  36. 11. Array Manipulation/1. Array Manipulation.mp4189.59MB
  37. 12. Bitwise Operations/1. Bitwise Operations.mp422.08MB
  38. 13. Statistical Functions/1. Statistical Functions.mp431.14MB
  39. 14. Plotting in Detail/1. Single Line Plots.mp458.15MB
  40. 14. Plotting in Detail/2. Multiline Plot.mp444.74MB
  41. 14. Plotting in Detail/3. Grid Axes and Labels.mp4131.7MB
  42. 14. Plotting in Detail/4. Color Line Markers.mp462.48MB
  43. 15. Installing SciPy and Pandas/1. Introduction to SciPy.mp47.2MB
  44. 15. Installing SciPy and Pandas/2. Install SciPy on Windows.mp420.56MB
  45. 15. Installing SciPy and Pandas/3. Install SciPy on Raspberry Pi.mp422.92MB
  46. 15. Installing SciPy and Pandas/4. Introduction to Pandas.mp49.21MB
  47. 15. Installing SciPy and Pandas/5. Install Pandas on Windows.mp418.7MB
  48. 15. Installing SciPy and Pandas/6. Install Pandas on Raspberry Pi.mp412.46MB
  49. 16. Matrices and Linear Algebra/1. Dot Products.mp444.58MB
  50. 16. Matrices and Linear Algebra/2. Vector Dot Products.mp420.11MB
  51. 16. Matrices and Linear Algebra/3. Inner Dot Products.mp414.44MB
  52. 16. Matrices and Linear Algebra/4. QR Decomposition.mp417.45MB
  53. 16. Matrices and Linear Algebra/5. Determinant Solving and Linear Equations.mp438.86MB
  54. 16. Matrices and Linear Algebra/6. Linear Algebra with SciPy.mp493.96MB
  55. 17. Data Acquisition with Python, NumPy, and Matplotlib/1. Plain Text File Handling.mp456.59MB
  56. 17. Data Acquisition with Python, NumPy, and Matplotlib/2. CSV.mp436.61MB
  57. 17. Data Acquisition with Python, NumPy, and Matplotlib/3. Excel Files.mp4111.04MB
  58. 17. Data Acquisition with Python, NumPy, and Matplotlib/4. NumPy File Format.mp432.15MB
  59. 17. Data Acquisition with Python, NumPy, and Matplotlib/5. Reading CSV File with NumPy.mp426.44MB
  60. 17. Data Acquisition with Python, NumPy, and Matplotlib/6. Matplotlib CBook Format.mp415.73MB
  61. 18. Python and MySQL/1. MySQL Installation on Windows.mp4212.38MB
  62. 18. Python and MySQL/2. Getting Started with MySQL and SQL Workbench.mp4173.75MB
  63. 18. Python and MySQL/3. Connect MySQL with SQL Developer.mp461.81MB
  64. 18. Python and MySQL/4. Explore MySQL Workbench.mp4112.11MB
  65. 18. Python and MySQL/5. Installing Pymysql on Windows.mp438.99MB
  66. 18. Python and MySQL/6. Connect to MySQL with Python 3.mp498.08MB
  67. 18. Python and MySQL/7. Execute DDL.mp491.88MB
  68. 18. Python and MySQL/8. INSERT.mp491.31MB
  69. 18. Python and MySQL/9. SELECT.mp486.6MB
  70. 18. Python and MySQL/10. UPDATE.mp455.81MB
  71. 18. Python and MySQL/11. DELETE.mp437.63MB
  72. 18. Python and MySQL/12. DROP.mp446.86MB
  73. 19. Series and DataFrames in Pandas/1. Series.mp487MB
  74. 19. Series and DataFrames in Pandas/2. DataFrames.mp4105.14MB
  75. 20. Data Acquisition with Pandas/1. Read CSV file.mp439.35MB
  76. 20. Data Acquisition with Pandas/2. Read Excel.mp419.37MB
  77. 20. Data Acquisition with Pandas/3. Read JSON.mp439.16MB
  78. 20. Data Acquisition with Pandas/4. Pickles.mp417.61MB
  79. 20. Data Acquisition with Pandas/5. Pandas and Web.mp486.84MB
  80. 20. Data Acquisition with Pandas/6. Read SQL.mp425.54MB
  81. 20. Data Acquisition with Pandas/7. Work with the Clipboard Data.mp430.8MB
  82. 21. Basic Altair Visualization/1. Installation and Basics.mp4108.15MB
  83. 21. Basic Altair Visualization/2. Basic Statistical Visulization.mp476.32MB
  84. 21. Basic Altair Visualization/3. Encodings in Altair.mp4220.94MB
  85. 22. A bit of Machine Learning/1. K-Means Clustering.mp433.87MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载，或者bt下载软件里即可下载文件，或者直接复制迅雷链接到迅雷里下载！ 亲，你造吗？将网页分享给您的基友，下载的人越多速度越快哦！

违规内容投诉邮箱：[email protected]

概述 838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息 838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统
838888磁力链接 磁力链接bt种子搜索引擎磁力搜索 DMCA