[Tutorialsplanet.NET] Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

磁力链接/BT种子名称

[Tutorialsplanet.NET] Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

磁力链接/BT种子简介

种子哈希：fa3d97dac66d1dc2d091d663d16cbf4a9ee9e614
文件大小： 1.95G
已经下载：1065次
下载速度：极快
收录时间：2024-01-07
最近下载：2025-09-18

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:FA3D97DAC66D1DC2D091D663D16CBF4A9EE9E614
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 世界之窗 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 极乐禁地 91短视频 抖音Max TikTok成人版 PornHub 听泉鉴鲍 少女日记 草榴社区 哆哔涩漫 呦乐园 萝莉岛 悠悠禁区 悠悠禁区 拔萝卜 疯马秀

最近搜索

文件列表

  • 15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
  • 1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
  • 4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
  • 6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
  • 7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
  • 14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
  • 14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
  • 14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
  • 15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
  • 10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
  • 6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
  • 14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
  • 15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
  • 14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
  • 12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 30.3 MB
  • 3. Module 3 Working with Jupyter Notebooks/1. Running Jupyter Notebook.mp4 30.2 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/4. Customizing Ticks and Labels.mp4 30.0 MB
  • 6. Module 6 NumPy Arrays/7. Boolean Indexing.mp4 29.5 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/12. Histograms and Density Plots.mp4 29.1 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/14. Factor Plots for Categorical Data.mp4 28.6 MB
  • 1. Introduction/3. Overview of Course Curriculum.mp4 28.4 MB
  • 3. Module 3 Working with Jupyter Notebooks/2. Tour In Basics of Jupyter Notebooks.mp4 28.2 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/9. Line Plots with Dataframe.mp4 28.0 MB
  • 12. Module 12 Data Wrangling3 Reshaping and Pivoting/1. Reshaping by Stacking and Unstacking.mp4 27.8 MB
  • 14. Module 14 Time Series/2. Converting Between String and Datetime.mp4 27.1 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/11. Bar Plots with Seaborn.mp4 26.9 MB
  • 7. Module 7 Pandas Dataframe/6. Indexing, Slicing and Filtering.mp4 26.6 MB
  • 7. Module 7 Pandas Dataframe/1. Series in Pandas.mp4 25.8 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/5. Adding Legends.mp4 25.8 MB
  • 5. Module 5 Functions in Python/1. Creating and Calling Functions.mp4 24.9 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/6. Adding Texts and Arrows on a Plot.mp4 24.6 MB
  • 3. Module 3 Working with Jupyter Notebooks/5. Magic Commands.mp4 24.5 MB
  • 15. Module 15 Real World Data Analysis Example/2. Housing Dataset Analysis -Part Two.mp4 24.4 MB
  • 14. Module 14 Time Series/7. Resampling and Frequency Conversion.mp4 24.2 MB
  • 10. Module 10 Data Wrangling1 Hierarchical Indexing/4. Indexing with Columns in Dataframe.mp4 24.2 MB
  • 9. Module 9 Data Cleaning and Preprocessing/7. Filtering Outliers.mp4 23.5 MB
  • 8. Module 8 Data Loading, Storage with Pandas/1. Reading Data in Text Format-Part1.mp4 23.4 MB
  • 7. Module 7 Pandas Dataframe/7. Arithmetic with Dataframe.mp4 23.2 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/3. Changing Colors, Markers and Linestyle.mp4 23.0 MB
  • 8. Module 8 Data Loading, Storage with Pandas/3. Writing Data in Text Format.mp4 22.9 MB
  • 8. Module 8 Data Loading, Storage with Pandas/2. Reading Data in Text Format-Part2.mp4 22.7 MB
  • 9. Module 9 Data Cleaning and Preprocessing/3. Filling in Missing Data.mp4 22.3 MB
  • 6. Module 6 NumPy Arrays/11. Sorting Arrays.mp4 22.2 MB
  • 9. Module 9 Data Cleaning and Preprocessing/8. Shuffling and Random Sampling.mp4 21.9 MB
  • 9. Module 9 Data Cleaning and Preprocessing/10. String Object Methods.mp4 21.7 MB
  • 6. Module 6 NumPy Arrays/3. Data Types for Ndarrays.mp4 21.6 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/10. Bar Plots with Dataframes.mp4 21.6 MB
  • 7. Module 7 Pandas Dataframe/9. Descriptive Statistics with Dataframe.mp4 21.3 MB
  • 9. Module 9 Data Cleaning and Preprocessing/2. Filtering out Missing Data.mp4 21.3 MB
  • 7. Module 7 Pandas Dataframe/8. Sorting Series and Dataframe.mp4 21.3 MB
  • 14. Module 14 Time Series/1. Date and time Data types.mp4 21.2 MB
  • 2. Module 2 Setting Python Environment/3. Cloud Environment Google Colab Jupyter Notebooks.mp4 21.1 MB
  • 4. Module 4 Data Structures And Sequences In Python/1. Tuple.mp4 20.8 MB
  • 6. Module 6 NumPy Arrays/6. Indexing and Slicing-Part two.mp4 20.8 MB
  • 7. Module 7 Pandas Dataframe/3. Index Objects.mp4 19.7 MB
  • 7. Module 7 Pandas Dataframe/10. Correlation and Covariance.mp4 19.7 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/8. Saving Plots to a File.mp4 19.0 MB
  • 6. Module 6 NumPy Arrays/8. Fancy Indexing.mp4 18.9 MB
  • 6. Module 6 NumPy Arrays/5. Indexing and Slicing-Part One.mp4 18.7 MB
  • 10. Module 10 Data Wrangling1 Hierarchical Indexing/3. Summary Statistics by Level.mp4 18.1 MB
  • 9. Module 9 Data Cleaning and Preprocessing/9. Dummy Variables.mp4 16.5 MB
  • 6. Module 6 NumPy Arrays/12. File Input and Output with Arrays.mp4 16.4 MB
  • 3. Module 3 Working with Jupyter Notebooks/4. Getting Help in Jupyter Notebook.mp4 16.3 MB
  • 5. Module 5 Functions in Python/3. Lambda Functions.mp4 16.0 MB
  • 3. Module 3 Working with Jupyter Notebooks/3. Cell Types in Jupyter Notebook.mp4 15.8 MB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/2. Merging Datasets on Index.mp4 15.7 MB
  • 4. Module 4 Data Structures And Sequences In Python/3. Dictionary.mp4 15.5 MB
  • 10. Module 10 Data Wrangling1 Hierarchical Indexing/2. Reordering and Sorting Index Levels.mp4 15.0 MB
  • 1. Introduction/1. Course Introduction.mp4 14.6 MB
  • 9. Module 9 Data Cleaning and Preprocessing/5. Replacing Values.mp4 14.2 MB
  • 7. Module 7 Pandas Dataframe/4. Reindexing in Series and DataFrames.mp4 14.1 MB
  • 9. Module 9 Data Cleaning and Preprocessing/1. Handling Missing Data.mp4 13.9 MB
  • 6. Module 6 NumPy Arrays/4. Arithmetic with NumPy Arrays.mp4 13.5 MB
  • 9. Module 9 Data Cleaning and Preprocessing/4. Removing Duplicate Entries.mp4 13.3 MB
  • 8. Module 8 Data Loading, Storage with Pandas/4. Reading Microsoft Excel Files.mp4 12.8 MB
  • 2. Module 2 Setting Python Environment/1. Decide Which Python Environment to Use.mp4 12.6 MB
  • 6. Module 6 NumPy Arrays/1. What Is NumPy Arrays (Ndarrays).mp4 12.1 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/1. Introducing Matplotlib Library.mp4 12.0 MB
  • 9. Module 9 Data Cleaning and Preprocessing/6. Renaming columns and Index Labels.mp4 11.7 MB
  • 15. Module 15 Real World Data Analysis Example/1. Housing Dataset Analysis -Part One.mp4 11.3 MB
  • 2. Module 2 Setting Python Environment/2. Local environment Installing Anaconda.mp4 11.0 MB
  • 12. Module 12 Data Wrangling3 Reshaping and Pivoting/2. Reshaping by Melting (Wide to Long ).mp4 9.9 MB
  • 5. Module 5 Functions in Python/2. Returning Multiple Values.mp4 9.8 MB
  • 6. Module 6 NumPy Arrays/9. Transposing Arrays.mp4 9.4 MB
  • 7. Module 7 Pandas Dataframe/5. Deleting Rows and Columns.mp4 5.7 MB
  • 4. Module 4 Data Structures And Sequences In Python/4. Set.mp4 4.7 MB
  • 1. Introduction/2.1 How to download course notebooks.pdf 143.5 kB
  • 4. Module 4 Data Structures And Sequences In Python/2. List.srt 9.4 kB
  • 15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.srt 8.9 kB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).srt 8.4 kB
  • 7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.srt 7.9 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.srt 7.8 kB
  • 6. Module 6 NumPy Arrays/2. Creating Ndarrays.srt 7.6 kB
  • 14. Module 14 Time Series/3. Basics of Time Series.srt 7.6 kB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.srt 7.4 kB
  • 3. Module 3 Working with Jupyter Notebooks/2. Tour In Basics of Jupyter Notebooks.srt 7.2 kB
  • 14. Module 14 Time Series/8. Rolling and Moving Windows.srt 6.9 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.srt 6.9 kB
  • 6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.srt 6.8 kB
  • 14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).srt 6.8 kB
  • 10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.srt 6.6 kB
  • 12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).srt 6.6 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/14. Factor Plots for Categorical Data.srt 6.5 kB
  • 15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.srt 6.4 kB
  • 1. Introduction/2. How to Download Course Notebooks.srt 6.4 kB
  • 5. Module 5 Functions in Python/1. Creating and Calling Functions.srt 6.4 kB
  • 7. Module 7 Pandas Dataframe/6. Indexing, Slicing and Filtering.srt 6.3 kB
  • 6. Module 6 NumPy Arrays/7. Boolean Indexing.srt 6.2 kB
  • 3. Module 3 Working with Jupyter Notebooks/1. Running Jupyter Notebook.srt 6.0 kB
  • 1. Introduction/3. Overview of Course Curriculum.srt 6.0 kB
  • 7. Module 7 Pandas Dataframe/1. Series in Pandas.srt 6.0 kB
  • 12. Module 12 Data Wrangling3 Reshaping and Pivoting/2. Reshaping by Melting (Wide to Long ).srt 6.0 kB
  • 8. Module 8 Data Loading, Storage with Pandas/1. Reading Data in Text Format-Part1.srt 5.9 kB
  • 14. Module 14 Time Series/6. Handling Time Zone.srt 5.8 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/11. Bar Plots with Seaborn.srt 5.7 kB
  • 12. Module 12 Data Wrangling3 Reshaping and Pivoting/1. Reshaping by Stacking and Unstacking.srt 5.7 kB
  • 14. Module 14 Time Series/7. Resampling and Frequency Conversion.srt 5.6 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.srt 5.6 kB
  • 14. Module 14 Time Series/2. Converting Between String and Datetime.srt 5.5 kB
  • 2. Module 2 Setting Python Environment/3. Cloud Environment Google Colab Jupyter Notebooks.srt 5.4 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/12. Histograms and Density Plots.srt 5.3 kB
  • 7. Module 7 Pandas Dataframe/7. Arithmetic with Dataframe.srt 5.1 kB
  • 4. Module 4 Data Structures And Sequences In Python/1. Tuple.srt 5.1 kB
  • 10. Module 10 Data Wrangling1 Hierarchical Indexing/4. Indexing with Columns in Dataframe.srt 5.1 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/6. Adding Texts and Arrows on a Plot.srt 5.1 kB
  • 6. Module 6 NumPy Arrays/3. Data Types for Ndarrays.srt 5.0 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/4. Customizing Ticks and Labels.srt 5.0 kB
  • 9. Module 9 Data Cleaning and Preprocessing/7. Filtering Outliers.srt 5.0 kB
  • 9. Module 9 Data Cleaning and Preprocessing/10. String Object Methods.srt 5.0 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/9. Line Plots with Dataframe.srt 4.9 kB
  • 6. Module 6 NumPy Arrays/6. Indexing and Slicing-Part two.srt 4.8 kB
  • 7. Module 7 Pandas Dataframe/9. Descriptive Statistics with Dataframe.srt 4.8 kB
  • 14. Module 14 Time Series/4. Generating Date Ranges.srt 4.7 kB
  • 1. Introduction/1. Course Introduction.srt 4.6 kB
  • 15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.srt 4.6 kB
  • 3. Module 3 Working with Jupyter Notebooks/4. Getting Help in Jupyter Notebook.srt 4.6 kB
  • 9. Module 9 Data Cleaning and Preprocessing/3. Filling in Missing Data.srt 4.6 kB
  • 14. Module 14 Time Series/1. Date and time Data types.srt 4.6 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/5. Adding Legends.srt 4.5 kB
  • 7. Module 7 Pandas Dataframe/8. Sorting Series and Dataframe.srt 4.5 kB
  • 9. Module 9 Data Cleaning and Preprocessing/2. Filtering out Missing Data.srt 4.4 kB
  • 8. Module 8 Data Loading, Storage with Pandas/2. Reading Data in Text Format-Part2.srt 4.4 kB
  • 6. Module 6 NumPy Arrays/8. Fancy Indexing.srt 4.4 kB
  • 8. Module 8 Data Loading, Storage with Pandas/3. Writing Data in Text Format.srt 4.3 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/10. Bar Plots with Dataframes.srt 4.3 kB
  • 15. Module 15 Real World Data Analysis Example/1. Housing Dataset Analysis -Part One.srt 4.3 kB
  • 15. Module 15 Real World Data Analysis Example/2. Housing Dataset Analysis -Part Two.srt 4.3 kB
  • 2. Module 2 Setting Python Environment/1. Decide Which Python Environment to Use.srt 4.3 kB
  • 2. Module 2 Setting Python Environment/2. Local environment Installing Anaconda.srt 4.3 kB
  • 3. Module 3 Working with Jupyter Notebooks/5. Magic Commands.srt 4.3 kB
  • 6. Module 6 NumPy Arrays/5. Indexing and Slicing-Part One.srt 4.3 kB
  • 10. Module 10 Data Wrangling1 Hierarchical Indexing/3. Summary Statistics by Level.srt 4.2 kB
  • 9. Module 9 Data Cleaning and Preprocessing/8. Shuffling and Random Sampling.srt 4.2 kB
  • 7. Module 7 Pandas Dataframe/10. Correlation and Covariance.srt 4.2 kB
  • 3. Module 3 Working with Jupyter Notebooks/3. Cell Types in Jupyter Notebook.srt 4.2 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/3. Changing Colors, Markers and Linestyle.srt 4.1 kB
  • 7. Module 7 Pandas Dataframe/3. Index Objects.srt 4.1 kB
  • 9. Module 9 Data Cleaning and Preprocessing/9. Dummy Variables.srt 4.0 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/8. Saving Plots to a File.srt 4.0 kB
  • 5. Module 5 Functions in Python/3. Lambda Functions.srt 3.9 kB
  • 6. Module 6 NumPy Arrays/11. Sorting Arrays.srt 3.6 kB
  • 9. Module 9 Data Cleaning and Preprocessing/5. Replacing Values.srt 3.6 kB
  • 9. Module 9 Data Cleaning and Preprocessing/1. Handling Missing Data.srt 3.5 kB
  • 4. Module 4 Data Structures And Sequences In Python/3. Dictionary.srt 3.4 kB
  • 7. Module 7 Pandas Dataframe/5. Deleting Rows and Columns.srt 3.3 kB
  • 6. Module 6 NumPy Arrays/12. File Input and Output with Arrays.srt 3.3 kB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/1. Introducing Matplotlib Library.srt 3.2 kB
  • 6. Module 6 NumPy Arrays/4. Arithmetic with NumPy Arrays.srt 3.2 kB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/2. Merging Datasets on Index.srt 3.1 kB
  • 10. Module 10 Data Wrangling1 Hierarchical Indexing/2. Reordering and Sorting Index Levels.srt 3.1 kB
  • 7. Module 7 Pandas Dataframe/4. Reindexing in Series and DataFrames.srt 3.0 kB
  • 6. Module 6 NumPy Arrays/1. What Is NumPy Arrays (Ndarrays).srt 2.9 kB
  • 9. Module 9 Data Cleaning and Preprocessing/6. Renaming columns and Index Labels.srt 2.8 kB
  • 9. Module 9 Data Cleaning and Preprocessing/4. Removing Duplicate Entries.srt 2.7 kB
  • 8. Module 8 Data Loading, Storage with Pandas/4. Reading Microsoft Excel Files.srt 2.5 kB
  • 4. Module 4 Data Structures And Sequences In Python/4. Set.srt 2.4 kB
  • 5. Module 5 Functions in Python/2. Returning Multiple Values.srt 2.3 kB
  • 6. Module 6 NumPy Arrays/9. Transposing Arrays.srt 2.0 kB
  • 10. Module 10 Data Wrangling1 Hierarchical Indexing/5. Short Quiz.html 213 Bytes
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/4. Short Quiz.html 213 Bytes
  • 12. Module 12 Data Wrangling3 Reshaping and Pivoting/4. Short Quiz.html 213 Bytes
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/15. Short Quiz.html 213 Bytes
  • 14. Module 14 Time Series/9. Short Quiz.html 213 Bytes
  • 4. Module 4 Data Structures And Sequences In Python/5. Short Quiz.html 213 Bytes
  • 5. Module 5 Functions in Python/4. Short Quiz.html 213 Bytes
  • 6. Module 6 NumPy Arrays/13. Short Quiz.html 213 Bytes
  • 7. Module 7 Pandas Dataframe/11. Short Quiz.html 213 Bytes
  • 8. Module 8 Data Loading, Storage with Pandas/5. Short Quiz.html 213 Bytes
  • 9. Module 9 Data Cleaning and Preprocessing/11. Short Quiz.html 213 Bytes
  • 0. Websites you may like/[Tutorialsplanet.NET].url 128 Bytes
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/[Tutorialsplanet.NET].url 128 Bytes
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/[Tutorialsplanet.NET].url 128 Bytes
  • 15. Module 15 Real World Data Analysis Example/[Tutorialsplanet.NET].url 128 Bytes
  • 6. Module 6 NumPy Arrays/[Tutorialsplanet.NET].url 128 Bytes
  • 8. Module 8 Data Loading, Storage with Pandas/[Tutorialsplanet.NET].url 128 Bytes
  • [Tutorialsplanet.NET].url 128 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！