TeamTreehouse - Beginning Data Science (Track)

磁力链接/BT种子名称

TeamTreehouse - Beginning Data Science (Track)

磁力链接/BT种子简介

种子哈希：d38a019e106aecdb10a9afdcc18cb81dbc80a83e
文件大小： 3.5G
已经下载：5832次
下载速度：极快
收录时间：2023-12-28
最近下载：2025-08-17

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:D38A019E106AECDB10A9AFDCC18CB81DBC80A83E
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 TikTok成人版 PornHub 草榴社区 哆哔涩漫 呦乐园 萝莉岛

最近搜索

文件列表

  • 12. Introduction to NumPy/03. Array Programming/01. New Way of Thinking.webm 57.9 MB
  • 12. Introduction to NumPy/02. Array Organization/01. Indexing.webm 51.4 MB
  • 12. Introduction to NumPy/01. Meet NumPy/01. Welcome.webm 48.5 MB
  • 12. Introduction to NumPy/02. Array Organization/02. Boolean Array Indexing.webm 47.6 MB
  • 12. Introduction to NumPy/02. Array Organization/04. Manipulation.webm 45.6 MB
  • 12. Introduction to NumPy/03. Array Programming/02. Universal Functions.webm 45.0 MB
  • 19. Introduction to Big Data/01. What is Big Data/04. Exploring Our New Problems.webm 43.3 MB
  • 13. Introduction to pandas/0. Meet pandas/0.Welcome.webm 41.7 MB
  • 12. Introduction to NumPy/03. Array Programming/04. Plotting.webm 40.6 MB
  • 12. Introduction to NumPy/03. Array Programming/03. Routines in Action.webm 40.3 MB
  • 12. Introduction to NumPy/01. Meet NumPy/03. Introducing Arrays.webm 40.3 MB
  • 17. Scraping Data From the Web/02. A World Full of Spiders/04. The Endless Web.webm 40.2 MB
  • 01. Data Analysis Basics/01. Introducing Data Analysis/04. Getting Good Data is Hard.webm 39.4 MB
  • 02. Python Basics/01. Meet Python/01. Welcome.webm 37.6 MB
  • 14. Preparing Data for Analysis/02. Data Cleaning/01. Cleaning A Spreadsheet.webm 37.1 MB
  • 12. Introduction to NumPy/01. Meet NumPy/05. Multidimensional Arrays.webm 37.0 MB
  • 19. Introduction to Big Data/02. Where and How is Big Data Used/03. Domain Data Storage.webm 36.3 MB
  • 18. Data from APIs/01. Accessing an API with Python.webm 33.9 MB
  • 03. Introducing Lists/01. Meet Lists/04. Indexing.webm 33.1 MB
  • 08. Object-Oriented Python/01. Instant Objects/05. Design.webm 33.1 MB
  • 08. Object-Oriented Python/02. Inheritance/03. Multiple Superclasses.webm 32.8 MB
  • 17. Scraping Data From the Web/01. Introducing Data Scraping/05. Being a Good Citizen.webm 32.7 MB
  • 17. Scraping Data From the Web/01. Introducing Data Scraping/01. What is Data Scraping.webm 32.5 MB
  • 01. Data Analysis Basics/03. The Data Analysis Process/04. Presenting Your Findings.webm 31.8 MB
  • 02. Python Basics/03. Functions and Looping/01. Functions.webm 31.8 MB
  • 08. Object-Oriented Python/01. Instant Objects/01. What Are Objects And Classes.webm 31.4 MB
  • 19. Introduction to Big Data/03. Big Data at Netflix/01. What Problems Does Netflix Have.webm 30.9 MB
  • 20. Machine Learning Basics/01. Introduction to Machine Learning/02. Supervised and Unsupervised Learning.webm 30.8 MB
  • 19. Introduction to Big Data/02. Where and How is Big Data Used/04. Domain Computations.webm 30.7 MB
  • 12. Introduction to NumPy/01. Meet NumPy/04. Creating the Study Log.webm 30.5 MB
  • 01. Data Analysis Basics/03. The Data Analysis Process/01. Understanding Metrics.webm 30.1 MB
  • 08. Object-Oriented Python/03. Advanced Objects/04. Subclassing Built-ins.webm 29.8 MB
  • 12. Introduction to NumPy/02. Array Organization/03. Slicing.webm 29.6 MB
  • 17. Scraping Data From the Web/02. A World Full of Spiders/01. Everyone Loves Charlotte.webm 29.2 MB
  • 19. Introduction to Big Data/03. Big Data at Netflix/03. Wrapping Up.webm 29.0 MB
  • 17. Scraping Data From the Web/01. Introducing Data Scraping/03. Beautiful Soup.webm 28.5 MB
  • 02. Python Basics/02. Types and Branching/01. Numeric.webm 28.4 MB
  • 02. Python Basics/01. Meet Python/07. Input and Coding Style.webm 27.1 MB
  • 01. Data Analysis Basics/01. Introducing Data Analysis/02. Data is Everywhere.webm 27.1 MB
  • 18. Data from APIs/03. Calling the API.webm 26.7 MB
  • 02. Python Basics/02. Types and Branching/06. Comparisons.webm 26.7 MB
  • 11. Jupyter Notebooks/03. Graphs and Charts.webm 26.5 MB
  • 02. Python Basics/03. Functions and Looping/02. Returning Values.webm 26.0 MB
  • 02. Python Basics/03. Functions and Looping/05. While Loops.webm 25.8 MB
  • 14. Preparing Data for Analysis/02. Data Cleaning/04. Cleaning A CSV Part 2.webm 25.6 MB
  • 08. Object-Oriented Python/03. Advanced Objects/03. Emulating Built-ins.webm 25.4 MB
  • 14. Preparing Data for Analysis/02. Data Cleaning/05. Cleaning A CSV Part 3.webm 25.1 MB
  • 14. Preparing Data for Analysis/02. Data Cleaning/06. Cleaning A CSV Part 4.webm 24.8 MB
  • 17. Scraping Data From the Web/01. Introducing Data Scraping/04. More Soup in the Tureen.webm 24.7 MB
  • 02. Python Basics/01. Meet Python/04. Syntax and Errors.webm 24.2 MB
  • 17. Scraping Data From the Web/03. Additional Scraping Tasks/02. Scraping APIs.webm 24.0 MB
  • 02. Python Basics/02. Types and Branching/05. If, Else and Elif.webm 24.0 MB
  • 14. Preparing Data for Analysis/02. Data Cleaning/03. Cleaning A CSV.webm 23.9 MB
  • 19. Introduction to Big Data/01. What is Big Data/03. The Importance of Big Data.webm 23.9 MB
  • 19. Introduction to Big Data/02. Where and How is Big Data Used/02. Types of Data.webm 23.5 MB
  • 20. Machine Learning Basics/01. Introduction to Machine Learning/01. What is Machine Learning.webm 23.5 MB
  • 18. Data from APIs/04. Saving the Data.webm 23.4 MB
  • 01. Data Analysis Basics/01. Introducing Data Analysis/01. Making Better Decisions with Data Analysis.webm 23.3 MB
  • 17. Scraping Data From the Web/03. Additional Scraping Tasks/03. Using Scrapers for Site Testing.webm 23.3 MB
  • 10. Introduction to Anaconda/01. What is Anaconda and why use it.webm 22.8 MB
  • 14. Preparing Data for Analysis/02. Data Cleaning/02. Cleaning A Spreadsheet Part 2.webm 22.3 MB
  • 02. Python Basics/04. All Together Now/05. Cleaner Code Through Refactoring.webm 22.1 MB
  • 02. Python Basics/01. Meet Python/03. The Python Shell.webm 21.5 MB
  • 01. Data Analysis Basics/03. The Data Analysis Process/02. Defining Terms.webm 21.4 MB
  • 10. Introduction to Anaconda/04. miniconda.webm 21.4 MB
  • 15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/02. Decision Process.webm 21.4 MB
  • 02. Python Basics/01. Meet Python/05. Variables.webm 21.3 MB
  • 11. Jupyter Notebooks/04. Other Languages.webm 21.2 MB
  • 08. Object-Oriented Python/02. Inheritance/04. Family Tree.webm 21.1 MB
  • 02. Python Basics/04. All Together Now/04. Handle Exceptions.webm 20.9 MB
  • 08. Object-Oriented Python/03. Advanced Objects/06. Special Methods.webm 20.9 MB
  • 17. Scraping Data From the Web/03. Additional Scraping Tasks/01. An Intelligent Spider.webm 20.8 MB
  • 08. Object-Oriented Python/04. Dice Roller/03. Giving a Hand.webm 20.7 MB
  • 08. Object-Oriented Python/03. Advanced Objects/01. Controlling Conversion.webm 20.7 MB
  • 17. Scraping Data From the Web/02. A World Full of Spiders/03. Crawling Spiders.webm 20.5 MB
  • 08. Object-Oriented Python/03. Advanced Objects/05. Constructicons.webm 20.2 MB
  • 02. Python Basics/04. All Together Now/03. Branch and Loop.webm 20.2 MB
  • 19. Introduction to Big Data/01. What is Big Data/01. Welcome.webm 20.1 MB
  • 15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/01. Our Data Set - Flower Power.webm 20.0 MB
  • 20. Machine Learning Basics/01. Introduction to Machine Learning/03. Machine Learning Frameworks.webm 19.8 MB
  • 15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/04. Chart Types & Reasons to Use.webm 19.8 MB
  • 02. Python Basics/04. All Together Now/06. Wrapping Up.webm 19.7 MB
  • 17. Scraping Data From the Web/01. Introducing Data Scraping/02. Web Page Anatomy.webm 19.7 MB
  • 08. Object-Oriented Python/02. Inheritance/01. Complex Relationships.webm 19.6 MB
  • 03. Introducing Lists/03. Build an Application/01. The Application.webm 19.5 MB
  • 02. Python Basics/03. Functions and Looping/03. Expecting Exceptions.webm 19.5 MB
  • 20. Machine Learning Basics/03. Writing a Classifier/01. Installing scikit-learn using Anaconda.webm 18.9 MB
  • 15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/03. Histogram.webm 18.9 MB
  • 01. Data Analysis Basics/02. Getting to Know Your Data/01. Summarizing Data Maximum, Minimum, Range.webm 18.8 MB
  • 12. Introduction to NumPy/03. Array Programming/05. No Problem.webm 18.8 MB
  • 01. Data Analysis Basics/01. Introducing Data Analysis/03. Creating a Spreadsheet.webm 18.8 MB
  • 08. Object-Oriented Python/04. Dice Roller/02. Comparing and Combining Dice.webm 18.6 MB
  • 10. Introduction to Anaconda/02. Installing Anaconda.webm 18.5 MB
  • 11. Jupyter Notebooks/01. Installation and Creating Your First Notebook.webm 18.5 MB
  • 02. Python Basics/02. Types and Branching/04. Booleans.webm 18.4 MB
  • 14. Preparing Data for Analysis/01. Understanding Cleaning Data/03. Bad Data Types.webm 18.4 MB
  • 19. Introduction to Big Data/02. Where and How is Big Data Used/05. Domain Infrastructure.webm 18.3 MB
  • 12. Introduction to NumPy/01. Meet NumPy/02. Getting Setup.webm 18.3 MB
  • 02. Python Basics/04. All Together Now/01. The Project.webm 18.3 MB
  • 19. Introduction to Big Data/03. Big Data at Netflix/02. How Does Netflix Apply Big Data Tools to Solve these Problems.webm 18.2 MB
  • 14. Preparing Data for Analysis/01. Understanding Cleaning Data/02. Context.webm 18.2 MB
  • 15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/02. Scatter Plot.webm 18.1 MB
  • 08. Object-Oriented Python/04. Dice Roller/01. Project Breakdown.webm 17.9 MB
  • 08. Object-Oriented Python/02. Inheritance/02. Super-Duper!.webm 17.7 MB
  • 14. Preparing Data for Analysis/01. Understanding Cleaning Data/01. What Is Cleaning Data.webm 17.5 MB
  • 03. Introducing Lists/01. Meet Lists/01. Welcome.webm 17.0 MB
  • 01. Data Analysis Basics/02. Getting to Know Your Data/05. Visualizing Data.webm 16.8 MB
  • 02. Python Basics/03. Functions and Looping/04. Raising Exceptions.webm 16.7 MB
  • 08. Object-Oriented Python/04. Dice Roller/05. Where to Now.webm 16.5 MB
  • 04. Introducing Dictionaries/01. Introducing Dictionaries/01. What is a dictionary.webm 16.3 MB
  • 15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/04. Box Plot.webm 15.4 MB
  • 03. Introducing Lists/01. Meet Lists/05. Deletion.webm 15.3 MB
  • 03. Introducing Lists/02. Using Lists/02. Mutability.webm 15.2 MB
  • 01. Data Analysis Basics/03. The Data Analysis Process/03. Analyzing the Data.webm 15.1 MB
  • 20. Machine Learning Basics/03. Writing a Classifier/02. Loading a Dataset.webm 15.1 MB
  • 02. Python Basics/01. Meet Python/02. Running Scripts.webm 14.9 MB
  • 03. Introducing Lists/02. Using Lists/04. Multidimensional Lists.webm 14.9 MB
  • 08. Object-Oriented Python/04. Dice Roller/04. Yatzy Scoring.webm 14.8 MB
  • 19. Introduction to Big Data/02. Where and How is Big Data Used/01. Where is it Being Used.webm 14.8 MB
  • 08. Object-Oriented Python/01. Instant Objects/03. Methods.webm 14.7 MB
  • 02. Python Basics/02. Types and Branching/02. Strings and Operators.webm 14.7 MB
  • 08. Object-Oriented Python/03. Advanced Objects/02. Math.webm 14.6 MB
  • 03. Introducing Lists/03. Build an Application/03. Display the List.webm 14.5 MB
  • 13. Introduction to pandas/1. Exploring pandas/3.Until Next Time.webm 14.4 MB
  • 13. Introduction to pandas/0. Meet pandas/2.Vectorization and Broadcasting Review.webm 14.4 MB
  • 06. Functions, Packing, and Unpacking/03. Packing and Unpacking/01. Packing.webm 14.1 MB
  • 08. Object-Oriented Python/01. Instant Objects/04. Method Arguments.webm 14.1 MB
  • 03. Introducing Lists/02. Using Lists/03. Split and Join.webm 14.1 MB
  • 02. Python Basics/02. Types and Branching/03. String Methods.webm 14.0 MB
  • 03. Introducing Lists/01. Meet Lists/03. Addition.webm 13.9 MB
  • 15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/01. Welcome to Matplotlib.webm 13.8 MB
  • 15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/01. Problem Discussion.webm 13.8 MB
  • 20. Machine Learning Basics/02. Machine Learning Vocabulary/01. Examples and Features.webm 13.4 MB
  • 02. Python Basics/04. All Together Now/02. Gather Information.webm 13.2 MB
  • 01. Data Analysis Basics/02. Getting to Know Your Data/07. Charting Our Data Part 2.webm 13.2 MB
  • 11. Jupyter Notebooks/02. Running Code in Cells.webm 13.0 MB
  • 04. Introducing Dictionaries/01. Introducing Dictionaries/02. Dictionary Syntax and KeyValue Pairs.webm 12.8 MB
  • 15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/05. Saving Your Work.webm 12.6 MB
  • 13. Introduction to pandas/0. Meet pandas/1.Meet Series.webm 12.6 MB
  • 17. Scraping Data From the Web/02. A World Full of Spiders/02. Installing Scrapy.webm 12.5 MB
  • 05. Python Sequences/01. Sequence Iteration/01. Lets Chat About Sequences.webm 12.2 MB
  • 13. Introduction to pandas/0. Meet pandas/3.Meet DataFrames.webm 12.2 MB
  • 06. Functions, Packing, and Unpacking/01. Introduction to Functions/01. Recap of Functions.webm 12.0 MB
  • 20. Machine Learning Basics/03. Writing a Classifier/03. Making Predictions with a Classifier.webm 11.9 MB
  • 02. Python Basics/03. Functions and Looping/06. For Loops.webm 11.8 MB
  • 03. Introducing Lists/02. Using Lists/01. Iteration.webm 11.6 MB
  • 06. Functions, Packing, and Unpacking/01. Introduction to Functions/04. Lets Talk About Scope.webm 11.5 MB
  • 20. Machine Learning Basics/02. Machine Learning Vocabulary/02. Labels and Classifiers.webm 11.4 MB
  • 15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/03. The Legend of Charting.webm 11.3 MB
  • 01. Data Analysis Basics/02. Getting to Know Your Data/04. Is Our Data Normal.webm 11.2 MB
  • 15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/02. Getting Started with Charting.webm 10.7 MB
  • 03. Introducing Lists/01. Meet Lists/02. Creation.webm 10.7 MB
  • 03. Introducing Lists/03. Build an Application/02. Add Items.webm 10.6 MB
  • 19. Introduction to Big Data/01. What is Big Data/02. Characteristics of Big Data.webm 10.5 MB
  • 01. Data Analysis Basics/02. Getting to Know Your Data/03. Analyzing Data Spread.webm 10.0 MB
  • 10. Introduction to Anaconda/03. Using conda to Install Packages.webm 9.8 MB
  • 01. Data Analysis Basics/02. Getting to Know Your Data/02. Summarizing Data Mean, Median, Mode.webm 9.7 MB
  • 01. Data Analysis Basics/02. Getting to Know Your Data/06. Charting Our Data Part 1.webm 9.6 MB
  • 13. Introduction to pandas/1. Exploring pandas/0.Importing Data.webm 9.5 MB
  • 07. Introducing Tuples/Getting to Know Tuples/02. Recap.webm 9.4 MB
  • 13. Introduction to pandas/1. Exploring pandas/2.Combining DataFrames.webm 9.4 MB
  • 15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/03. Problem Summary and Presentation.webm 9.3 MB
  • 05. Python Sequences/01. Sequence Iteration/02. Iterating with Basic For Loops.webm 9.1 MB
  • 18. Data from APIs/02. Gathering Weather Data.webm 8.7 MB
  • 06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/03. All About Returns.webm 8.6 MB
  • 05. Python Sequences/02. Sequence Operations/01. Sequence Operations.webm 8.2 MB
  • 07. Introducing Tuples/Getting to Know Tuples/01. Introducing Tuples.webm 8.2 MB
  • 20. Machine Learning Basics/03. Writing a Classifier/04. Machine Learning Review.webm 8.2 MB
  • 08. Object-Oriented Python/01. Instant Objects/02. Lets Make a Class!.webm 8.0 MB
  • 17. Scraping Data From the Web/03. Additional Scraping Tasks/05. Wrapping Up.webm 7.7 MB
  • 05. Python Sequences/01. Sequence Iteration/03. Iterating with Enumerate.webm 7.4 MB
  • 05. Python Sequences/02. Sequence Operations/02. Slices.webm 7.3 MB
  • 05. Python Sequences/02. Sequence Operations/05. Count and Index.webm 7.2 MB
  • 06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/04. Arguments and Parameters.webm 7.0 MB
  • 05. Python Sequences/01. Sequence Iteration/04. Iterating with Ranges.webm 6.7 MB
  • 04. Introducing Dictionaries/01. Introducing Dictionaries/04. Update and Mutate Dictionaries.webm 6.6 MB
  • 04. Introducing Dictionaries/01. Introducing Dictionaries/03. Accessing Keys and Values.webm 6.6 MB
  • 04. Introducing Dictionaries/02. Iterating and Packing with Dictionaries/01. Iterate over Dictionaries.webm 6.6 MB
  • 04. Introducing Dictionaries/02. Iterating and Packing with Dictionaries/02. Packing with Dictionaries.webm 6.5 MB
  • 03. Introducing Lists/03. Build an Application/04. Wrap Up.webm 6.4 MB
  • 06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/06. Multiple Arguments and Parameters.webm 6.3 MB
  • 13. Introduction to pandas/1. Exploring pandas/1.Manipulation.webm 5.7 MB
  • 06. Functions, Packing, and Unpacking/03. Packing and Unpacking/02. Packing, a Practical Example.webm 5.6 MB
  • 06. Functions, Packing, and Unpacking/03. Packing and Unpacking/04. Unpacking, a Practical Example.webm 5.2 MB
  • 06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/01. Moving Forward.webm 5.1 MB
  • 13. Introduction to pandas/0. Meet pandas/4.Onwards.webm 5.0 MB
  • 06. Functions, Packing, and Unpacking/03. Packing and Unpacking/03. Unpacking.webm 4.7 MB
  • 05. Python Sequences/02. Sequence Operations/07. Concatenation and Multiplication.webm 4.6 MB
  • 05. Python Sequences/02. Sequence Operations/03. Len, Min, and Max.webm 4.6 MB
  • 05. Python Sequences/02. Sequence Operations/04. Membership Testing.webm 4.3 MB
  • 01. Data Analysis Basics/01. Introducing Data Analysis/Project Files/marathon_results_2017.csv 4.2 MB
  • 06. Functions, Packing, and Unpacking/01. Introduction to Functions/02. Defining a Function.webm 4.1 MB
  • 06. Functions, Packing, and Unpacking/01. Introduction to Functions/03. Calling a Function.webm 3.3 MB
  • 13. Introduction to pandas/1. Exploring pandas/Instruction/Manipulation Techniques.png 1.3 MB
  • 13. Introduction to pandas/1. Exploring pandas/Instruction/Exploration Methods.png 1.3 MB
  • 13. Introduction to pandas/1. Exploring pandas/Instruction/Combining DataFrames.png 1.3 MB
  • 13. Introduction to pandas/1. Exploring pandas/Instruction/Grouping.png 968.6 kB
  • 13. Introduction to pandas/1. Exploring pandas/Instruction/Handling Duplicated and Missing Data.png 883.7 kB
  • 13. Introduction to pandas/1. Exploring pandas/Instruction/Selecting Data.png 769.6 kB
  • 13. Introduction to pandas/1. Exploring pandas/Instruction/Manipulating Text.png 742.8 kB
  • 13. Introduction to pandas/0. Meet pandas/Instruction/Accessing a DataFrame.png 735.2 kB
  • 13. Introduction to pandas/0. Meet pandas/Instruction/Accessing a Series.png 696.3 kB
  • 13. Introduction to pandas/0. Meet pandas/Instruction/Series Vectorization and Broadcasting.png 566.7 kB
  • 13. Introduction to pandas/0. Meet pandas/Instruction/Creating a Series.png 523.7 kB
  • 13. Introduction to pandas/0. Meet pandas/Instruction/Creating a DataFrame.png 476.2 kB
  • 13. Introduction to pandas/1. Exploring pandas/Instruction/Optional Challenge #3 - Verified Email List.png 429.4 kB
  • 13. Introduction to pandas/1. Exploring pandas/Instruction/Optional Challenge #2 - Update Users.png 409.0 kB
  • 13. Introduction to pandas/1. Exploring pandas/Instruction/Optional Challenge #1 - Top Referrers.png 403.4 kB
  • 13. Introduction to pandas/0. Meet pandas/Instruction/About This Course.png 307.9 kB
  • 15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/Project Files/intro_matplotlib.zip 272.0 kB
  • 15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/Project Files/intro_matplotlib.zip 272.0 kB
  • 15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/Project Files/intro_matplotlib.zip 272.0 kB
  • 08. Object-Oriented Python/01. Instant Objects/Project Files/Object-Oriented+Python+2.zip 133.3 kB
  • 08. Object-Oriented Python/02. Inheritance/Project Files/Object-Oriented+Python+2.zip 133.3 kB
  • 08. Object-Oriented Python/03. Advanced Objects/Project Files/Object-Oriented+Python+2.zip 133.3 kB
  • 08. Object-Oriented Python/04. Dice Roller/Project Files/Object-Oriented+Python+2.zip 133.3 kB
  • 13. Introduction to pandas/0. Meet pandas/Project Files/python-introducing-pandas-1.2.0.zip 90.4 kB
  • 12. Introduction to NumPy/01. Meet NumPy/Project Files/python-intro-to-numpy.zip 59.1 kB
  • 12. Introduction to NumPy/02. Array Organization/Project Files/python-intro-to-numpy.zip 59.1 kB
  • 12. Introduction to NumPy/03. Array Programming/Project Files/python-intro-to-numpy.zip 59.1 kB
  • 14. Preparing Data for Analysis/02. Data Cleaning/Project Files/preparing-data-for-analysis-student.zip 38.9 kB
  • 17. Scraping Data From the Web/01. Introducing Data Scraping/Project Files/scraping_data_from_the_web.zip 38.2 kB
  • 17. Scraping Data From the Web/02. A World Full of Spiders/Project Files/scraping_data_from_the_web.zip 38.2 kB
  • 17. Scraping Data From the Web/03. Additional Scraping Tasks/Project Files/scraping_data_from_the_web.zip 38.2 kB
  • 08. Object-Oriented Python/Object-Oriented Python.md 7.3 kB
  • Beginning Data Science.md 6.8 kB
  • 02. Python Basics/Python Basics.md 5.8 kB
  • 15. Introduction to Data Visualization with Matplotlib/Introduction to Data Visualization with Matplotlib.md 4.6 kB
  • 12. Introduction to NumPy/Introduction to NumPy.md 4.5 kB
  • 19. Introduction to Big Data/Introduction to Big Data.md 4.3 kB
  • 06. Functions, Packing, and Unpacking/Functions, Packing, and Unpacking.md 4.3 kB
  • 17. Scraping Data From the Web/Scraping Data From the Web.md 4.2 kB
  • 01. Data Analysis Basics/Data Analysis Basics.md 4.0 kB
  • 03. Introducing Lists/Introducing Lists.md 3.6 kB
  • 05. Python Sequences/Python Sequences.md 3.6 kB
  • 20. Machine Learning Basics/Machine Learning Basics.md 3.4 kB
  • 04. Introducing Dictionaries/Introducing Dictionaries.md 3.0 kB
  • 05. Python Sequences/02. Sequence Operations/08. Sequence Operations Cheat Sheet.md 2.8 kB
  • 07. Introducing Tuples/Getting to Know Tuples/04. Tuple Syntax.md 2.6 kB
  • 14. Preparing Data for Analysis/Preparing Data for Analysis.md 2.4 kB
  • 07. Introducing Tuples/Getting to Know Tuples/03. Tuples vs. Lists.md 2.1 kB
  • 07. Introducing Tuples/Introducing Tuples.md 1.9 kB
  • 17. Scraping Data From the Web/03. Additional Scraping Tasks/04. Common Issues with Data Scraping.md 1.7 kB
  • Common Issues with Data Scraping/Common Issues with Data Scraping.md 1.7 kB
  • 06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/05. Function Gotchas.md 1.6 kB
  • 06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/02. Functions Recap and Cheat Sheet.md 1.4 kB
  • 11. Jupyter Notebooks/Jupyter Notebooks.md 1.3 kB
  • 05. Python Sequences/02. Sequence Operations/06. Code Samples Membership Testing, Count, and Index.md 1.2 kB
  • 04. Introducing Dictionaries/02. Iterating and Packing with Dictionaries/03. Unpacking with Dictionaries.md 1.2 kB
  • 10. Introduction to Anaconda/Introduction to Anaconda.md 1.2 kB
  • 18. Data from APIs/Data from APIs.md 1.0 kB
  • 16. More Visualization/More Visualization.md 1.0 kB
  • 02. Python Basics/01. Meet Python/06. Code Challenges.md 908 Bytes
  • 20. Machine Learning Basics/03. Writing a Classifier/Project Files/ML-machine-learning-basics.zip 614 Bytes
  • 09. Learning SQL/Learning SQL.md 495 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！