[DesireCourse.Net] Udemy - Python A-Z™ Python For Data Science With Real Exercises!

磁力链接/BT种子名称

[DesireCourse.Net] Udemy - Python A-Z™ Python For Data Science With Real Exercises!

磁力链接/BT种子简介

种子哈希：a148e3ab848ed393a61fde0fa67c94884ec0e4d2
文件大小： 2.14G
已经下载：1150次
下载速度：极快
收录时间：2020-11-08
最近下载：2025-09-26

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文件列表

  • 6. Advanced Visualization/10. BONUS Building Dashboards in Python.mp4 87.6 MB
  • 5. Data Frames/6. Filtering a Data Frame.mp4 78.8 MB
  • 4. Matrices/3. Building Your First Matrix.mp4 74.6 MB
  • 6. Advanced Visualization/11. BONUS Styling Tips.mp4 74.5 MB
  • 4. Matrices/4. Dictionaries in Python.mp4 73.5 MB
  • 5. Data Frames/4. Subsetting dataframes in Pandas.mp4 64.8 MB
  • 6. Advanced Visualization/4. Stacked histograms in Python.mp4 60.3 MB
  • 4. Matrices/9. Advanced Function Design.mp4 59.5 MB
  • 6. Advanced Visualization/12. BONUS Finishing Touches.mp4 55.1 MB
  • 7. Homework Solutions/9. THANK YOU bonus video.mp4 54.8 MB
  • 7. Homework Solutions/4. Homework Solution Section 4 Basketball Free Throws.mp4 54.0 MB
  • 4. Matrices/8. Creating Your First Function.mp4 50.9 MB
  • 5. Data Frames/10. Keyword Arguments in Python (advanced tutorial).mp4 46.2 MB
  • 2. Core Programming Principles/1. Updates on Udemy Reviews.mp4 45.5 MB
  • 6. Advanced Visualization/8. Creating a Facet Grid.mp4 45.1 MB
  • 5. Data Frames/5. Basic operations with a Data Frame.mp4 44.5 MB
  • 6. Advanced Visualization/6. Working with Subplots().mp4 43.5 MB
  • 4. Matrices/10. Basketball Insights.mp4 43.5 MB
  • 4. Matrices/7. Expanded Visualization.mp4 42.7 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
  • 5. Data Frames/8. Introduction to Seaborn.mp4 40.4 MB
  • 5. Data Frames/7. Using .at() and .iat() (advanced tutorial).mp4 39.9 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 37.4 MB
  • 7. Homework Solutions/5. Homework Solution Section 5 World Trends (Part 1).mp4 36.7 MB
  • 5. Data Frames/9. Visualizing With Seaborn Part 1.mp4 36.4 MB
  • 6. Advanced Visualization/9. Coordinates and Diagonals.mp4 33.4 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
  • 4. Matrices/12. HOMEWORK Basketball free throws.mp4 27.5 MB
  • 6. Advanced Visualization/5. Creating a KDE Plot.mp4 27.1 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
  • 6. Advanced Visualization/7. Violinplots vs Boxplots.mp4 24.5 MB
  • 2. Core Programming Principles/3. Using Variables.mp4 24.2 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 22.4 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
  • 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 10.8 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 6.2 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.vtt 28.4 kB
  • 6. Advanced Visualization/4. Stacked histograms in Python.vtt 25.9 kB
  • 5. Data Frames/4. Subsetting dataframes in Pandas.vtt 25.6 kB
  • 4. Matrices/3. Building Your First Matrix.vtt 25.3 kB
  • 6. Advanced Visualization/10. BONUS Building Dashboards in Python.vtt 23.4 kB
  • 6. Advanced Visualization/11. BONUS Styling Tips.vtt 23.0 kB
  • 4. Matrices/4. Dictionaries in Python.vtt 22.0 kB
  • 6. Advanced Visualization/12. BONUS Finishing Touches.vtt 20.9 kB
  • 3. Fundamentals Of Python/7. Packages in Python.vtt 20.7 kB
  • 2. Core Programming Principles/10. HOMEWORK Law of Large Numbers.vtt 19.6 kB
  • 2. Core Programming Principles/7. The If statement.vtt 19.1 kB
  • 6. Advanced Visualization/6. Working with Subplots().vtt 19.0 kB
  • 6. Advanced Visualization/8. Creating a Facet Grid.vtt 17.4 kB
  • 4. Matrices/10. Basketball Insights.vtt 16.9 kB
  • 4. Matrices/6. Your first visualization.vtt 16.4 kB
  • 4. Matrices/8. Creating Your First Function.vtt 16.3 kB
  • 4. Matrices/9. Advanced Function Design.vtt 15.8 kB
  • 5. Data Frames/2. Exploring your dataset.vtt 15.8 kB
  • 2. Core Programming Principles/5. The While Loop.vtt 15.8 kB
  • 5. Data Frames/8. Introduction to Seaborn.vtt 15.3 kB
  • 4. Matrices/7. Expanded Visualization.vtt 15.1 kB
  • 5. Data Frames/10. Keyword Arguments in Python (advanced tutorial).vtt 14.6 kB
  • 5. Data Frames/9. Visualizing With Seaborn Part 1.vtt 14.6 kB
  • 6. Advanced Visualization/1. What is a Category data type.vtt 14.5 kB
  • 7. Homework Solutions/4. Homework Solution Section 4 Basketball Free Throws.vtt 14.0 kB
  • 3. Fundamentals Of Python/4. Slicing.vtt 13.9 kB
  • 5. Data Frames/5. Basic operations with a Data Frame.vtt 13.9 kB
  • 2. Core Programming Principles/2. Types of variables.vtt 13.8 kB
  • 7. Homework Solutions/1. Homework Solution Section 2 Law Of Large Numbers.vtt 13.3 kB
  • 2. Core Programming Principles/3. Using Variables.vtt 13.1 kB
  • 1. Welcome To The Course/1. Installing Python (Windows & MAC).vtt 13.1 kB
  • 5. Data Frames/7. Using .at() and .iat() (advanced tutorial).vtt 13.0 kB
  • 4. Matrices/5. Matrix Operations.vtt 12.9 kB
  • 3. Fundamentals Of Python/2. Let's create some lists.vtt 12.3 kB
  • 4. Matrices/1. Project Brief Basketball Trends.vtt 12.0 kB
  • 5. Data Frames/1. Importing data into Python.vtt 11.8 kB
  • 6. Advanced Visualization/7. Violinplots vs Boxplots.vtt 11.7 kB
  • 7. Homework Solutions/7. Homework Solution Section 6 Movie Domestic % Gross (Part 1).vtt 11.6 kB
  • 2. Core Programming Principles/6. The For Loop.vtt 11.3 kB
  • 6. Advanced Visualization/5. Creating a KDE Plot.vtt 11.1 kB
  • 3. Fundamentals Of Python/8. Numpy and Arrays in Python.vtt 11.1 kB
  • 7. Homework Solutions/5. Homework Solution Section 5 World Trends (Part 1).vtt 10.9 kB
  • 6. Advanced Visualization/2. Working with JointPlots.vtt 10.5 kB
  • 6. Advanced Visualization/9. Coordinates and Diagonals.vtt 10.4 kB
  • 6. Advanced Visualization/3. Histograms.vtt 10.2 kB
  • 7. Homework Solutions/6. Homework Solution Section 5 World Trends (Part 2).vtt 9.7 kB
  • 3. Fundamentals Of Python/5. Tuples in Python.vtt 9.7 kB
  • 3. Fundamentals Of Python/3. Using the [] brackets.vtt 9.7 kB
  • 3. Fundamentals Of Python/11. HOMEWORK Financial Statement Analysis.vtt 8.8 kB
  • 2. Core Programming Principles/4. Boolean Variables and Operators.vtt 8.6 kB
  • 3. Fundamentals Of Python/6. Functions in Python.vtt 8.3 kB
  • 7. Homework Solutions/3. Homework Solution Section 3 Financial Statement Analysis (Part 2).vtt 7.9 kB
  • 4. Matrices/12. HOMEWORK Basketball free throws.vtt 7.7 kB
  • 6. Advanced Visualization/13. Section Recap.vtt 7.5 kB
  • 7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis (Part 1).vtt 6.9 kB
  • 6. Advanced Visualization/14. HOMEWORK Movie Domestic % Gross.vtt 6.6 kB
  • 3. Fundamentals Of Python/9. Slicing Arrays.vtt 6.5 kB
  • 5. Data Frames/11. Section Recap.vtt 6.1 kB
  • 5. Data Frames/12. HOMEWORK World Trends.vtt 6.0 kB
  • 4. Matrices/11. Section Recap.vtt 5.6 kB
  • 4. Matrices/2. Matrices.vtt 5.0 kB
  • 3. Fundamentals Of Python/1. What is a List.vtt 4.6 kB
  • 3. Fundamentals Of Python/10. Section Recap.vtt 4.3 kB
  • 2. Core Programming Principles/9. Section recap.vtt 4.2 kB
  • 5. Data Frames/3. Renaming Columns of a Dataframe.vtt 4.2 kB
  • 7. Homework Solutions/8. Homework Solution Section 6 Movie Domestic % Gross (Part 2).vtt 3.8 kB
  • 2. Core Programming Principles/8. Code indentation in Python.vtt 3.7 kB
  • 8. Bonus Lectures/1. YOUR SPECIAL BONUS.html 3.3 kB
  • 2. Core Programming Principles/1. Updates on Udemy Reviews.vtt 3.2 kB
  • 7. Homework Solutions/9. THANK YOU bonus video.vtt 2.1 kB
  • 1. Welcome To The Course/2. Some Additional Resources!!.html 600 Bytes
  • 2. Core Programming Principles/11. Core Programming Principles.html 116 Bytes
  • 3. Fundamentals Of Python/12. Fundamentals of Python.html 116 Bytes
  • 4. Matrices/13. Matrices.html 116 Bytes
  • 5. Data Frames/13. Data Frames.html 116 Bytes
  • 6. Advanced Visualization/15. Advanced Visualization.html 116 Bytes
  • [DesireCourse.Net].url 51 Bytes
  • [CourseClub.Me].url 48 Bytes

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