BT种子基本信息
- 种子哈希:46d7ab78ba7293ab64433df340ed483bc26204a7
- 文档大小:2.9 GB
- 文档个数:102个文档
- 下载次数:3473次
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- 收录时间:2022-11-06
- 最近下载:2024-12-30
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文档列表
- ~Get Your Files Here !/1. Installations/1. Installing Anaconda Distribution for Windows.mp4 128.5 MB
- ~Get Your Files Here !/1. Installations/5. Installing Anaconda Distribution for Linux.mp4 125.6 MB
- ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 87.7 MB
- ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 84.8 MB
- ~Get Your Files Here !/6. Operations in Numpy Library/2. Arithmetic Operations in Numpy.mp4 70.3 MB
- ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp4 65.4 MB
- ~Get Your Files Here !/16. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp4 62.2 MB
- ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp4 60.9 MB
- ~Get Your Files Here !/1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 60.7 MB
- ~Get Your Files Here !/2. NumPy Library Introduction/2. The Power of NumPy.mp4 58.4 MB
- ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 56.4 MB
- ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp4 54.4 MB
- ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 53.8 MB
- ~Get Your Files Here !/15. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp4 52.4 MB
- ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp4 50.2 MB
- ~Get Your Files Here !/8. Series Structures in the Pandas Library/6. Most Applied Methods on Pandas Series.mp4 46.2 MB
- ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp4 45.9 MB
- ~Get Your Files Here !/2. NumPy Library Introduction/1. Introduction to NumPy Library.mp4 45.5 MB
- ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/7. Fancy Indexing of Two-Dimensional Arrrays.mp4 44.7 MB
- ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp4 44.6 MB
- ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/6. Element Selection with Conditional Operations in.mp4 44.6 MB
- ~Get Your Files Here !/3. Creating NumPy Array in Python/8. Creating NumPy Array with Random() Function.mp4 41.8 MB
- ~Get Your Files Here !/12. Multi-Indexed DataFrame Structures/1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 41.5 MB
- ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/2. Examining the Data Set 1.mp4 41.1 MB
- ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/9. Advanced Aggregation Functions Apply() Function.mp4 40.2 MB
- ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4 39.3 MB
- ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/6. Setting Index in Pandas DataFrames.mp4 38.2 MB
- ~Get Your Files Here !/8. Series Structures in the Pandas Library/1. Creating a Pandas Series with a List.mp4 38.0 MB
- ~Get Your Files Here !/4. Functions in the NumPy Library/4. Concatenating Numpy Arrays Concatenate() Functio.mp4 37.6 MB
- ~Get Your Files Here !/15. Pivot Tables in Pandas Library/1. Examining the Data Set 3.mp4 37.3 MB
- ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4 37.2 MB
- ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/1. Loading a Dataset from the Seaborn Library.mp4 36.7 MB
- ~Get Your Files Here !/4. Functions in the NumPy Library/6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4 34.9 MB
- ~Get Your Files Here !/16. File Operations in Pandas Library/4. Outputting as an CSV Extension.mp4 34.4 MB
- ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/5. Assigning Value to Two-Dimensional Array.mp4 34.1 MB
- ~Get Your Files Here !/7. Pandas Library Introduction/1. Introduction to Pandas Library.mp4 33.9 MB
- ~Get Your Files Here !/16. File Operations in Pandas Library/1. Accessing and Making Files Available.mp4 33.8 MB
- ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/4. Dropping Null Values Dropna() Function.mp4 33.3 MB
- ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/3. Slicing Two-Dimensional Numpy Arrays.mp4 33.0 MB
- ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/1. Adding Columns to Pandas Data Frames.mp4 32.6 MB
- ~Get Your Files Here !/6. Operations in Numpy Library/3. Statistical Operations in Numpy.mp4 31.6 MB
- ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4 30.8 MB
- ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4 30.4 MB
- ~Get Your Files Here !/12. Multi-Indexed DataFrame Structures/3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4 29.6 MB
- ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4 28.8 MB
- ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4 28.8 MB
- ~Get Your Files Here !/3. Creating NumPy Array in Python/1. Creating NumPy Array with The Array() Function.mp4 28.7 MB
- ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/6. Advanced Aggregation Functions Aggregate() Function.mp4 28.3 MB
- ~Get Your Files Here !/8. Series Structures in the Pandas Library/7. Indexing and Slicing Pandas Series.mp4 28.2 MB
- ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/1. Indexing Numpy Arrays.mp4 25.9 MB
- ~Get Your Files Here !/4. Functions in the NumPy Library/1. Reshaping a NumPy Array Reshape() Function.mp4 25.7 MB
- ~Get Your Files Here !/9. DataFrame Structures in Pandas Library/4. Examining the Properties of Pandas DataFrames.mp4 25.0 MB
- ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/7. Advanced Aggregation Functions Filter() Function.mp4 24.1 MB
- ~Get Your Files Here !/3. Creating NumPy Array in Python/2. Creating NumPy Array with Zeros() Function.mp4 23.8 MB
- ~Get Your Files Here !/6. Operations in Numpy Library/4. Solving Second-Degree Equations with NumPy.mp4 23.5 MB
- ~Get Your Files Here !/12. Multi-Indexed DataFrame Structures/2. Element Selection in Multi-Indexed DataFrames.mp4 23.4 MB
- ~Get Your Files Here !/9. DataFrame Structures in Pandas Library/1. Creating Pandas DataFrame with List.mp4 22.2 MB
- ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/2. Slicing One-Dimensional Numpy Arrays.mp4 21.8 MB
- ~Get Your Files Here !/3. Creating NumPy Array in Python/9. Properties of NumPy Array.mp4 21.6 MB
- ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4 21.5 MB
- ~Get Your Files Here !/6. Operations in Numpy Library/1. Operations with Comparison Operators.mp4 20.8 MB
- ~Get Your Files Here !/16. File Operations in Pandas Library/3. Data Entry with Excel Files.mp4 20.8 MB
- ~Get Your Files Here !/4. Functions in the NumPy Library/5. Splitting One-Dimensional Numpy Arrays The Split.mp4 20.4 MB
- ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/6. Fancy Indexing of One-Dimensional Arrrays.mp4 19.9 MB
- ~Get Your Files Here !/16. File Operations in Pandas Library/5. Outputting as an Excel File.mp4 19.0 MB
- ~Get Your Files Here !/8. Series Structures in the Pandas Library/4. Object Types in Series.mp4 18.8 MB
- ~Get Your Files Here !/8. Series Structures in the Pandas Library/5. Examining the Primary Features of the Pandas Seri.mp4 18.3 MB
- ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/4. Assigning Value to One-Dimensional Arrays.mp4 17.7 MB
- ~Get Your Files Here !/8. Series Structures in the Pandas Library/2. Creating a Pandas Series with a Dictionary.mp4 17.7 MB
- ~Get Your Files Here !/4. Functions in the NumPy Library/7. Sorting Numpy Arrays Sort() Function.mp4 16.5 MB
- ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/9. Combining Fancy Index with Normal Slicing.mp4 16.2 MB
- ~Get Your Files Here !/3. Creating NumPy Array in Python/3. Creating NumPy Array with Ones() Function.mp4 15.6 MB
- ~Get Your Files Here !/9. DataFrame Structures in Pandas Library/3. Creating Pandas DataFrame with Dictionary.mp4 15.5 MB
- ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/2. Removing Rows and Columns from Pandas Data frames.mp4 15.1 MB
- ~Get Your Files Here !/4. Functions in the NumPy Library/2. Identifying the Largest Element of a Numpy Array.mp4 15.0 MB
- ~Get Your Files Here !/5. Indexing, Slicing, and Assigning NumPy Arrays/8. Combining Fancy Index with Normal Indexing.mp4 12.5 MB
- ~Get Your Files Here !/3. Creating NumPy Array in Python/6. Creating NumPy Array with Eye() Function.mp4 12.4 MB
- ~Get Your Files Here !/3. Creating NumPy Array in Python/5. Creating NumPy Array with Arange() Function.mp4 12.0 MB
- ~Get Your Files Here !/9. DataFrame Structures in Pandas Library/2. Creating Pandas DataFrame with NumPy Array.mp4 11.8 MB
- ~Get Your Files Here !/8. Series Structures in the Pandas Library/3. Creating Pandas Series with NumPy Array.mp4 11.6 MB
- ~Get Your Files Here !/3. Creating NumPy Array in Python/4. Creating NumPy Array with Full() Function.mp4 11.0 MB
- ~Get Your Files Here !/4. Functions in the NumPy Library/3. Detecting Least Element of Numpy Array Min(), Ar.mp4 10.0 MB
- ~Get Your Files Here !/3. Creating NumPy Array in Python/7. Creating NumPy Array with Linspace() Function.mp4 7.2 MB
- ~Get Your Files Here !/1. Installations/4. 6 Article Advice And Links about Numpy, Numpy Pyhon.html 4.3 kB
- ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
- ~Get Your Files Here !/17. Extra/1. Pandas & NumPy Python Programming Language Libraries A-Z™.html 266 Bytes
- ~Get Your Files Here !/10. Element Selection Operations in DataFrame Structures/7. quiz.html 207 Bytes
- ~Get Your Files Here !/11. Structural Operations on Pandas DataFrame/7. quiz.html 207 Bytes
- ~Get Your Files Here !/12. Multi-Indexed DataFrame Structures/4. quiz.html 207 Bytes
- ~Get Your Files Here !/13. Structural Concatenation Operations in Pandas DataFrame/7. quiz.html 207 Bytes
- ~Get Your Files Here !/14. Functions That Can Be Applied on a DataFrame/10. quiz.html 207 Bytes
- ~Get Your Files Here !/15. Pivot Tables in Pandas Library/3. quiz.html 207 Bytes
- ~Get Your Files Here !/16. File Operations in Pandas Library/6. quiz.html 207 Bytes
- ~Get Your Files Here !/2. NumPy Library Introduction/3. Quiz.html 207 Bytes
- ~Get Your Files Here !/3. Creating NumPy Array in Python/10. Quiz.html 207 Bytes
- ~Get Your Files Here !/4. Functions in the NumPy Library/8. Quiz.html 207 Bytes
- ~Get Your Files Here !/7. Pandas Library Introduction/3. Quiz.html 207 Bytes
- ~Get Your Files Here !/8. Series Structures in the Pandas Library/8. quiz.html 207 Bytes
- ~Get Your Files Here !/9. DataFrame Structures in Pandas Library/5. quiz.html 207 Bytes
- Get Bonus Downloads Here.url 182 Bytes
- ~Get Your Files Here !/7. Pandas Library Introduction/2. Pandas Project Files Link.html 180 Bytes
- ~Get Your Files Here !/1. Installations/2. Notebook Project Files Link regarding NumPy Python Programming Language Library.html 155 Bytes
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