[Udemy] Python A-Z™ Python For Data Science With Real Exercises! (2021) [En]

磁力链接/BT种子名称

[Udemy] Python A-Z™ Python For Data Science With Real Exercises! (2021) [En]

磁力链接/BT种子简介

种子哈希：a24d5cbf19b021cf240e9b712d6edca2d35d00da
文件大小： 2.26G
已经下载：3215次
下载速度：极快
收录时间：2021-03-20
最近下载：2024-11-22

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文件列表

  • 6. Advanced Visualization/10. BONUS Building Dashboards in Python.mp4 111.1 MB
  • 6. Advanced Visualization/11. BONUS Styling Tips.mp4 95.1 MB
  • 5. Data Frames/6. Filtering a Data Frame.mp4 92.4 MB
  • 5. Data Frames/4. Subsetting dataframes in Pandas.mp4 75.7 MB
  • 4. Matrices/3. Building Your First Matrix.mp4 74.6 MB
  • 4. Matrices/4. Dictionaries in Python.mp4 73.5 MB
  • 6. Advanced Visualization/12. BONUS Finishing Touches.mp4 69.0 MB
  • 6. Advanced Visualization/4. Stacked histograms in Python.mp4 60.3 MB
  • 5. Data Frames/10. Keyword Arguments in Python (advanced tutorial).mp4 59.6 MB
  • 4. Matrices/9. Advanced Function Design.mp4 59.5 MB
  • 7. Homework Solutions/9. THANK YOU bonus video.mp4 54.8 MB
  • 6. Advanced Visualization/8. Creating a Facet Grid.mp4 54.3 MB
  • 7. Homework Solutions/4. Homework Solution Section 4 Basketball Free Throws.mp4 54.0 MB
  • 6. Advanced Visualization/6. Working with Subplots().mp4 52.3 MB
  • 4. Matrices/8. Creating Your First Function.mp4 50.9 MB
  • 5. Data Frames/8. Introduction to Seaborn.mp4 49.1 MB
  • 5. Data Frames/7. Using .at() and .iat() (advanced tutorial).mp4 46.0 MB
  • 5. Data Frames/5. Basic operations with a Data Frame.mp4 44.5 MB
  • 4. Matrices/10. Basketball Insights.mp4 43.5 MB
  • 5. Data Frames/9. Visualizing With Seaborn Part 1.mp4 42.9 MB
  • 4. Matrices/7. Expanded Visualization.mp4 42.7 MB
  • 6. Advanced Visualization/9. Coordinates and Diagonals.mp4 42.3 MB
  • 5. Data Frames/2. Exploring your dataset.mp4 42.0 MB
  • 3. Fundamentals Of Python/7. Packages in Python.mp4 41.6 MB
  • 4. Matrices/1. Project Brief Basketball Trends.mp4 41.5 MB
  • 7. Homework Solutions/7. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 41.2 MB
  • 4. Matrices/6. Your first visualization.mp4 39.1 MB
  • 4. Matrices/5. Matrix Operations.mp4 39.0 MB
  • 6. Advanced Visualization/1. What is a Category data type.mp4 37.3 MB
  • 7. Homework Solutions/5. Homework Solution Section 5 World Trends (Part 1).mp4 36.7 MB
  • 6. Advanced Visualization/5. Creating a KDE Plot.mp4 32.1 MB
  • 7. Homework Solutions/6. Homework Solution Section 5 World Trends (Part 2).mp4 31.8 MB
  • 5. Data Frames/1. Importing data into Python.mp4 31.4 MB
  • 2. Core Programming Principles/7. The If statement.mp4 29.9 MB
  • 6. Advanced Visualization/14. HOMEWORK Movie Domestic % Gross.mp4 28.8 MB
  • 7. Homework Solutions/3. Homework Solution Section 3 Financial Statement Analysis (Part 2).mp4 28.7 MB
  • 6. Advanced Visualization/7. Violinplots vs Boxplots.mp4 27.9 MB
  • 4. Matrices/12. HOMEWORK Basketball free throws.mp4 27.5 MB
  • 1. Welcome To The Course/1. Installing Python (Windows & MAC).mp4 26.0 MB
  • 2. Core Programming Principles/10. HOMEWORK Law of Large Numbers.mp4 25.2 MB
  • 6. Advanced Visualization/3. Histograms.mp4 24.7 MB
  • 2. Core Programming Principles/3. Using Variables.mp4 24.1 MB
  • 3. Fundamentals Of Python/11. HOMEWORK Financial Statement Analysis.mp4 23.5 MB
  • 6. Advanced Visualization/2. Working with JointPlots.mp4 23.4 MB
  • 7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis (Part 1).mp4 22.8 MB
  • 3. Fundamentals Of Python/2. Let's create some lists.mp4 22.6 MB
  • 7. Homework Solutions/1. Homework Solution Section 2 Law Of Large Numbers.mp4 22.3 MB
  • 2. Core Programming Principles/2. Types of variables.mp4 22.2 MB
  • 5. Data Frames/12. HOMEWORK World Trends.mp4 21.9 MB
  • 2. Core Programming Principles/6. The For Loop.mp4 21.6 MB
  • 2. Core Programming Principles/1. Updates on Udemy Reviews.mp4 21.4 MB
  • 7. Homework Solutions/8. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 20.4 MB
  • 3. Fundamentals Of Python/4. Slicing.mp4 20.2 MB
  • 2. Core Programming Principles/5. The While Loop.mp4 20.2 MB
  • 3. Fundamentals Of Python/5. Tuples in Python.mp4 17.6 MB
  • 3. Fundamentals Of Python/8. Numpy and Arrays in Python.mp4 17.3 MB
  • 3. Fundamentals Of Python/3. Using the [] brackets.mp4 14.7 MB
  • 2. Core Programming Principles/4. Boolean Variables and Operators.mp4 14.0 MB
  • 3. Fundamentals Of Python/6. Functions in Python.mp4 13.5 MB
  • 3. Fundamentals Of Python/9. Slicing Arrays.mp4 13.3 MB
  • 6. Advanced Visualization/13. Section Recap.mp4 10.9 MB
  • 5. Data Frames/11. Section Recap.mp4 8.9 MB
  • 5. Data Frames/3. Renaming Columns of a Dataframe.mp4 8.4 MB
  • 4. Matrices/11. Section Recap.mp4 8.1 MB
  • 2. Core Programming Principles/8. Code indentation in Python.mp4 7.4 MB
  • 4. Matrices/2. Matrices.mp4 7.3 MB
  • 3. Fundamentals Of Python/10. Section Recap.mp4 6.1 MB
  • 2. Core Programming Principles/9. Section recap.mp4 5.7 MB
  • 3. Fundamentals Of Python/1. What is a List.mp4 5.5 MB
  • 5. Data Frames/6. Filtering a Data Frame.srt 32.3 kB
  • 6. Advanced Visualization/4. Stacked histograms in Python.srt 29.1 kB
  • 5. Data Frames/4. Subsetting dataframes in Pandas.srt 29.1 kB
  • 4. Matrices/3. Building Your First Matrix.srt 28.5 kB
  • 6. Advanced Visualization/10. BONUS Building Dashboards in Python.srt 26.3 kB
  • 6. Advanced Visualization/11. BONUS Styling Tips.srt 25.9 kB
  • 4. Matrices/4. Dictionaries in Python.srt 24.8 kB
  • 6. Advanced Visualization/12. BONUS Finishing Touches.srt 23.4 kB
  • 3. Fundamentals Of Python/7. Packages in Python.srt 23.1 kB
  • 2. Core Programming Principles/10. HOMEWORK Law of Large Numbers.srt 22.0 kB
  • 2. Core Programming Principles/7. The If statement.srt 21.5 kB
  • 6. Advanced Visualization/6. Working with Subplots().srt 21.3 kB
  • 6. Advanced Visualization/8. Creating a Facet Grid.srt 19.5 kB
  • 4. Matrices/10. Basketball Insights.srt 18.9 kB
  • 4. Matrices/6. Your first visualization.srt 18.3 kB
  • 4. Matrices/8. Creating Your First Function.srt 18.3 kB
  • 4. Matrices/9. Advanced Function Design.srt 17.8 kB
  • 5. Data Frames/2. Exploring your dataset.srt 17.8 kB
  • 2. Core Programming Principles/5. The While Loop.srt 17.7 kB
  • 5. Data Frames/8. Introduction to Seaborn.srt 17.1 kB
  • 4. Matrices/7. Expanded Visualization.srt 17.0 kB
  • 5. Data Frames/10. Keyword Arguments in Python (advanced tutorial).srt 16.5 kB
  • 5. Data Frames/9. Visualizing With Seaborn Part 1.srt 16.4 kB
  • 7. Homework Solutions/4. Homework Solution Section 4 Basketball Free Throws.srt 16.4 kB
  • 6. Advanced Visualization/1. What is a Category data type.srt 16.2 kB
  • 3. Fundamentals Of Python/4. Slicing.srt 15.8 kB
  • 5. Data Frames/5. Basic operations with a Data Frame.srt 15.7 kB
  • 2. Core Programming Principles/2. Types of variables.srt 15.6 kB
  • 1. Welcome To The Course/1. Installing Python (Windows & MAC).srt 15.1 kB
  • 7. Homework Solutions/1. Homework Solution Section 2 Law Of Large Numbers.srt 14.9 kB
  • 5. Data Frames/7. Using .at() and .iat() (advanced tutorial).srt 14.8 kB
  • 2. Core Programming Principles/3. Using Variables.srt 14.6 kB
  • 4. Matrices/5. Matrix Operations.srt 14.4 kB
  • 7. Homework Solutions/7. Homework Solution Section 6 Movie Domestic % Gross (Part 1).srt 14.0 kB
  • 3. Fundamentals Of Python/2. Let's create some lists.srt 13.7 kB
  • 6. Advanced Visualization/7. Violinplots vs Boxplots.srt 13.4 kB
  • 4. Matrices/1. Project Brief Basketball Trends.srt 13.4 kB
  • 5. Data Frames/1. Importing data into Python.srt 13.2 kB
  • 7. Homework Solutions/5. Homework Solution Section 5 World Trends (Part 1).srt 13.1 kB
  • 2. Core Programming Principles/6. The For Loop.srt 12.7 kB
  • 6. Advanced Visualization/5. Creating a KDE Plot.srt 12.4 kB
  • 3. Fundamentals Of Python/8. Numpy and Arrays in Python.srt 12.3 kB
  • 6. Advanced Visualization/2. Working with JointPlots.srt 11.7 kB
  • 7. Homework Solutions/6. Homework Solution Section 5 World Trends (Part 2).srt 11.7 kB
  • 6. Advanced Visualization/9. Coordinates and Diagonals.srt 11.6 kB
  • 6. Advanced Visualization/3. Histograms.srt 11.3 kB
  • 3. Fundamentals Of Python/5. Tuples in Python.srt 10.9 kB
  • 3. Fundamentals Of Python/3. Using the [] brackets.srt 10.9 kB
  • 3. Fundamentals Of Python/11. HOMEWORK Financial Statement Analysis.srt 10.2 kB
  • 7. Homework Solutions/3. Homework Solution Section 3 Financial Statement Analysis (Part 2).srt 9.6 kB
  • 2. Core Programming Principles/4. Boolean Variables and Operators.srt 9.6 kB
  • 3. Fundamentals Of Python/6. Functions in Python.srt 9.3 kB
  • 4. Matrices/12. HOMEWORK Basketball free throws.srt 8.7 kB
  • 6. Advanced Visualization/13. Section Recap.srt 8.3 kB
  • 7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis (Part 1).srt 8.1 kB
  • 6. Advanced Visualization/14. HOMEWORK Movie Domestic % Gross.srt 7.8 kB
  • 3. Fundamentals Of Python/9. Slicing Arrays.srt 7.3 kB
  • 5. Data Frames/12. HOMEWORK World Trends.srt 7.0 kB
  • 5. Data Frames/11. Section Recap.srt 6.7 kB
  • 4. Matrices/11. Section Recap.srt 6.2 kB
  • 4. Matrices/2. Matrices.srt 5.6 kB
  • 3. Fundamentals Of Python/1. What is a List.srt 5.1 kB
  • 3. Fundamentals Of Python/10. Section Recap.srt 4.8 kB
  • 5. Data Frames/3. Renaming Columns of a Dataframe.srt 4.6 kB
  • 2. Core Programming Principles/9. Section recap.srt 4.6 kB
  • 7. Homework Solutions/8. Homework Solution Section 6 Movie Domestic % Gross (Part 2).srt 4.6 kB
  • 2. Core Programming Principles/8. Code indentation in Python.srt 4.1 kB
  • 1. Welcome To The Course/6. Your Shortcut To Becoming A Better Data Scientist!.html 4.0 kB
  • 8. Bonus Lectures/1. YOUR SPECIAL BONUS.html 3.3 kB
  • 1. Welcome To The Course/5. FAQBot!.html 3.1 kB
  • 7. Homework Solutions/9. THANK YOU bonus video.srt 2.4 kB
  • 2. Core Programming Principles/1. Updates on Udemy Reviews.srt 1.8 kB
  • 1. Welcome To The Course/2. BONUS Learning Paths.html 1.4 kB
  • 1. Welcome To The Course/4. Some Additional Resources!!.html 600 Bytes
  • 1. Welcome To The Course/3. Get the materials.html 319 Bytes
  • 2. Core Programming Principles/11. Core Programming Principles.html 123 Bytes
  • 3. Fundamentals Of Python/12. Fundamentals of Python.html 123 Bytes
  • 4. Matrices/13. Matrices.html 123 Bytes
  • 5. Data Frames/13. Data Frames.html 123 Bytes
  • 6. Advanced Visualization/15. Advanced Visualization.html 123 Bytes

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