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TeamTreehouse - Beginning Data Science (Track)

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文件列表

  1. 12. Introduction to NumPy/03. Array Programming/01. New Way of Thinking.webm 55MB
  2. 12. Introduction to NumPy/02. Array Organization/01. Indexing.webm 49MB
  3. 12. Introduction to NumPy/01. Meet NumPy/01. Welcome.webm 46MB
  4. 12. Introduction to NumPy/02. Array Organization/02. Boolean Array Indexing.webm 45MB
  5. 12. Introduction to NumPy/02. Array Organization/04. Manipulation.webm 43MB
  6. 12. Introduction to NumPy/03. Array Programming/02. Universal Functions.webm 43MB
  7. 19. Introduction to Big Data/01. What is Big Data/04. Exploring Our New Problems.webm 41MB
  8. 13. Introduction to pandas/0. Meet pandas/0.Welcome.webm 40MB
  9. 12. Introduction to NumPy/03. Array Programming/04. Plotting.webm 39MB
  10. 12. Introduction to NumPy/03. Array Programming/03. Routines in Action.webm 38MB
  11. 12. Introduction to NumPy/01. Meet NumPy/03. Introducing Arrays.webm 38MB
  12. 17. Scraping Data From the Web/02. A World Full of Spiders/04. The Endless Web.webm 38MB
  13. 01. Data Analysis Basics/01. Introducing Data Analysis/04. Getting Good Data is Hard.webm 38MB
  14. 02. Python Basics/01. Meet Python/01. Welcome.webm 36MB
  15. 14. Preparing Data for Analysis/02. Data Cleaning/01. Cleaning A Spreadsheet.webm 35MB
  16. 12. Introduction to NumPy/01. Meet NumPy/05. Multidimensional Arrays.webm 35MB
  17. 19. Introduction to Big Data/02. Where and How is Big Data Used/03. Domain Data Storage.webm 35MB
  18. 18. Data from APIs/01. Accessing an API with Python.webm 32MB
  19. 03. Introducing Lists/01. Meet Lists/04. Indexing.webm 32MB
  20. 08. Object-Oriented Python/01. Instant Objects/05. Design.webm 32MB
  21. 08. Object-Oriented Python/02. Inheritance/03. Multiple Superclasses.webm 31MB
  22. 17. Scraping Data From the Web/01. Introducing Data Scraping/05. Being a Good Citizen.webm 31MB
  23. 17. Scraping Data From the Web/01. Introducing Data Scraping/01. What is Data Scraping.webm 31MB
  24. 01. Data Analysis Basics/03. The Data Analysis Process/04. Presenting Your Findings.webm 30MB
  25. 02. Python Basics/03. Functions and Looping/01. Functions.webm 30MB
  26. 08. Object-Oriented Python/01. Instant Objects/01. What Are Objects And Classes.webm 30MB
  27. 19. Introduction to Big Data/03. Big Data at Netflix/01. What Problems Does Netflix Have.webm 29MB
  28. 20. Machine Learning Basics/01. Introduction to Machine Learning/02. Supervised and Unsupervised Learning.webm 29MB
  29. 19. Introduction to Big Data/02. Where and How is Big Data Used/04. Domain Computations.webm 29MB
  30. 12. Introduction to NumPy/01. Meet NumPy/04. Creating the Study Log.webm 29MB
  31. 01. Data Analysis Basics/03. The Data Analysis Process/01. Understanding Metrics.webm 29MB
  32. 08. Object-Oriented Python/03. Advanced Objects/04. Subclassing Built-ins.webm 28MB
  33. 12. Introduction to NumPy/02. Array Organization/03. Slicing.webm 28MB
  34. 17. Scraping Data From the Web/02. A World Full of Spiders/01. Everyone Loves Charlotte.webm 28MB
  35. 19. Introduction to Big Data/03. Big Data at Netflix/03. Wrapping Up.webm 28MB
  36. 17. Scraping Data From the Web/01. Introducing Data Scraping/03. Beautiful Soup.webm 27MB
  37. 02. Python Basics/02. Types and Branching/01. Numeric.webm 27MB
  38. 02. Python Basics/01. Meet Python/07. Input and Coding Style.webm 26MB
  39. 01. Data Analysis Basics/01. Introducing Data Analysis/02. Data is Everywhere.webm 26MB
  40. 18. Data from APIs/03. Calling the API.webm 25MB
  41. 02. Python Basics/02. Types and Branching/06. Comparisons.webm 25MB
  42. 11. Jupyter Notebooks/03. Graphs and Charts.webm 25MB
  43. 02. Python Basics/03. Functions and Looping/02. Returning Values.webm 25MB
  44. 02. Python Basics/03. Functions and Looping/05. While Loops.webm 25MB
  45. 14. Preparing Data for Analysis/02. Data Cleaning/04. Cleaning A CSV Part 2.webm 24MB
  46. 08. Object-Oriented Python/03. Advanced Objects/03. Emulating Built-ins.webm 24MB
  47. 14. Preparing Data for Analysis/02. Data Cleaning/05. Cleaning A CSV Part 3.webm 24MB
  48. 14. Preparing Data for Analysis/02. Data Cleaning/06. Cleaning A CSV Part 4.webm 24MB
  49. 17. Scraping Data From the Web/01. Introducing Data Scraping/04. More Soup in the Tureen.webm 24MB
  50. 02. Python Basics/01. Meet Python/04. Syntax and Errors.webm 23MB
  51. 17. Scraping Data From the Web/03. Additional Scraping Tasks/02. Scraping APIs.webm 23MB
  52. 02. Python Basics/02. Types and Branching/05. If, Else and Elif.webm 23MB
  53. 14. Preparing Data for Analysis/02. Data Cleaning/03. Cleaning A CSV.webm 23MB
  54. 19. Introduction to Big Data/01. What is Big Data/03. The Importance of Big Data.webm 23MB
  55. 19. Introduction to Big Data/02. Where and How is Big Data Used/02. Types of Data.webm 22MB
  56. 20. Machine Learning Basics/01. Introduction to Machine Learning/01. What is Machine Learning.webm 22MB
  57. 18. Data from APIs/04. Saving the Data.webm 22MB
  58. 01. Data Analysis Basics/01. Introducing Data Analysis/01. Making Better Decisions with Data Analysis.webm 22MB
  59. 17. Scraping Data From the Web/03. Additional Scraping Tasks/03. Using Scrapers for Site Testing.webm 22MB
  60. 10. Introduction to Anaconda/01. What is Anaconda and why use it.webm 22MB
  61. 14. Preparing Data for Analysis/02. Data Cleaning/02. Cleaning A Spreadsheet Part 2.webm 21MB
  62. 02. Python Basics/04. All Together Now/05. Cleaner Code Through Refactoring.webm 21MB
  63. 02. Python Basics/01. Meet Python/03. The Python Shell.webm 21MB
  64. 01. Data Analysis Basics/03. The Data Analysis Process/02. Defining Terms.webm 20MB
  65. 10. Introduction to Anaconda/04. miniconda.webm 20MB
  66. 15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/02. Decision Process.webm 20MB
  67. 02. Python Basics/01. Meet Python/05. Variables.webm 20MB
  68. 11. Jupyter Notebooks/04. Other Languages.webm 20MB
  69. 08. Object-Oriented Python/02. Inheritance/04. Family Tree.webm 20MB
  70. 02. Python Basics/04. All Together Now/04. Handle Exceptions.webm 20MB
  71. 08. Object-Oriented Python/03. Advanced Objects/06. Special Methods.webm 20MB
  72. 17. Scraping Data From the Web/03. Additional Scraping Tasks/01. An Intelligent Spider.webm 20MB
  73. 08. Object-Oriented Python/04. Dice Roller/03. Giving a Hand.webm 20MB
  74. 08. Object-Oriented Python/03. Advanced Objects/01. Controlling Conversion.webm 20MB
  75. 17. Scraping Data From the Web/02. A World Full of Spiders/03. Crawling Spiders.webm 20MB
  76. 08. Object-Oriented Python/03. Advanced Objects/05. Constructicons.webm 19MB
  77. 02. Python Basics/04. All Together Now/03. Branch and Loop.webm 19MB
  78. 19. Introduction to Big Data/01. What is Big Data/01. Welcome.webm 19MB
  79. 15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/01. Our Data Set - Flower Power.webm 19MB
  80. 20. Machine Learning Basics/01. Introduction to Machine Learning/03. Machine Learning Frameworks.webm 19MB
  81. 15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/04. Chart Types & Reasons to Use.webm 19MB
  82. 02. Python Basics/04. All Together Now/06. Wrapping Up.webm 19MB
  83. 17. Scraping Data From the Web/01. Introducing Data Scraping/02. Web Page Anatomy.webm 19MB
  84. 08. Object-Oriented Python/02. Inheritance/01. Complex Relationships.webm 19MB
  85. 03. Introducing Lists/03. Build an Application/01. The Application.webm 19MB
  86. 02. Python Basics/03. Functions and Looping/03. Expecting Exceptions.webm 19MB
  87. 20. Machine Learning Basics/03. Writing a Classifier/01. Installing scikit-learn using Anaconda.webm 18MB
  88. 15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/03. Histogram.webm 18MB
  89. 01. Data Analysis Basics/02. Getting to Know Your Data/01. Summarizing Data Maximum, Minimum, Range.webm 18MB
  90. 12. Introduction to NumPy/03. Array Programming/05. No Problem.webm 18MB
  91. 01. Data Analysis Basics/01. Introducing Data Analysis/03. Creating a Spreadsheet.webm 18MB
  92. 08. Object-Oriented Python/04. Dice Roller/02. Comparing and Combining Dice.webm 18MB
  93. 10. Introduction to Anaconda/02. Installing Anaconda.webm 18MB
  94. 11. Jupyter Notebooks/01. Installation and Creating Your First Notebook.webm 18MB
  95. 02. Python Basics/02. Types and Branching/04. Booleans.webm 18MB
  96. 14. Preparing Data for Analysis/01. Understanding Cleaning Data/03. Bad Data Types.webm 18MB
  97. 19. Introduction to Big Data/02. Where and How is Big Data Used/05. Domain Infrastructure.webm 17MB
  98. 12. Introduction to NumPy/01. Meet NumPy/02. Getting Setup.webm 17MB
  99. 02. Python Basics/04. All Together Now/01. The Project.webm 17MB
  100. 19. Introduction to Big Data/03. Big Data at Netflix/02. How Does Netflix Apply Big Data Tools to Solve these Problems.webm 17MB
  101. 14. Preparing Data for Analysis/01. Understanding Cleaning Data/02. Context.webm 17MB
  102. 15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/02. Scatter Plot.webm 17MB
  103. 08. Object-Oriented Python/04. Dice Roller/01. Project Breakdown.webm 17MB
  104. 08. Object-Oriented Python/02. Inheritance/02. Super-Duper!.webm 17MB
  105. 14. Preparing Data for Analysis/01. Understanding Cleaning Data/01. What Is Cleaning Data.webm 17MB
  106. 03. Introducing Lists/01. Meet Lists/01. Welcome.webm 16MB
  107. 01. Data Analysis Basics/02. Getting to Know Your Data/05. Visualizing Data.webm 16MB
  108. 02. Python Basics/03. Functions and Looping/04. Raising Exceptions.webm 16MB
  109. 08. Object-Oriented Python/04. Dice Roller/05. Where to Now.webm 16MB
  110. 04. Introducing Dictionaries/01. Introducing Dictionaries/01. What is a dictionary.webm 16MB
  111. 15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/04. Box Plot.webm 15MB
  112. 03. Introducing Lists/01. Meet Lists/05. Deletion.webm 15MB
  113. 03. Introducing Lists/02. Using Lists/02. Mutability.webm 15MB
  114. 01. Data Analysis Basics/03. The Data Analysis Process/03. Analyzing the Data.webm 14MB
  115. 20. Machine Learning Basics/03. Writing a Classifier/02. Loading a Dataset.webm 14MB
  116. 02. Python Basics/01. Meet Python/02. Running Scripts.webm 14MB
  117. 03. Introducing Lists/02. Using Lists/04. Multidimensional Lists.webm 14MB
  118. 08. Object-Oriented Python/04. Dice Roller/04. Yatzy Scoring.webm 14MB
  119. 19. Introduction to Big Data/02. Where and How is Big Data Used/01. Where is it Being Used.webm 14MB
  120. 08. Object-Oriented Python/01. Instant Objects/03. Methods.webm 14MB
  121. 02. Python Basics/02. Types and Branching/02. Strings and Operators.webm 14MB
  122. 08. Object-Oriented Python/03. Advanced Objects/02. Math.webm 14MB
  123. 03. Introducing Lists/03. Build an Application/03. Display the List.webm 14MB
  124. 13. Introduction to pandas/1. Exploring pandas/3.Until Next Time.webm 14MB
  125. 13. Introduction to pandas/0. Meet pandas/2.Vectorization and Broadcasting Review.webm 14MB
  126. 06. Functions, Packing, and Unpacking/03. Packing and Unpacking/01. Packing.webm 13MB
  127. 08. Object-Oriented Python/01. Instant Objects/04. Method Arguments.webm 13MB
  128. 03. Introducing Lists/02. Using Lists/03. Split and Join.webm 13MB
  129. 02. Python Basics/02. Types and Branching/03. String Methods.webm 13MB
  130. 03. Introducing Lists/01. Meet Lists/03. Addition.webm 13MB
  131. 15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/01. Welcome to Matplotlib.webm 13MB
  132. 15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/01. Problem Discussion.webm 13MB
  133. 20. Machine Learning Basics/02. Machine Learning Vocabulary/01. Examples and Features.webm 13MB
  134. 02. Python Basics/04. All Together Now/02. Gather Information.webm 13MB
  135. 01. Data Analysis Basics/02. Getting to Know Your Data/07. Charting Our Data Part 2.webm 13MB
  136. 11. Jupyter Notebooks/02. Running Code in Cells.webm 12MB
  137. 04. Introducing Dictionaries/01. Introducing Dictionaries/02. Dictionary Syntax and KeyValue Pairs.webm 12MB
  138. 15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/05. Saving Your Work.webm 12MB
  139. 13. Introduction to pandas/0. Meet pandas/1.Meet Series.webm 12MB
  140. 17. Scraping Data From the Web/02. A World Full of Spiders/02. Installing Scrapy.webm 12MB
  141. 05. Python Sequences/01. Sequence Iteration/01. Lets Chat About Sequences.webm 12MB
  142. 13. Introduction to pandas/0. Meet pandas/3.Meet DataFrames.webm 12MB
  143. 06. Functions, Packing, and Unpacking/01. Introduction to Functions/01. Recap of Functions.webm 11MB
  144. 20. Machine Learning Basics/03. Writing a Classifier/03. Making Predictions with a Classifier.webm 11MB
  145. 02. Python Basics/03. Functions and Looping/06. For Loops.webm 11MB
  146. 03. Introducing Lists/02. Using Lists/01. Iteration.webm 11MB
  147. 06. Functions, Packing, and Unpacking/01. Introduction to Functions/04. Lets Talk About Scope.webm 11MB
  148. 20. Machine Learning Basics/02. Machine Learning Vocabulary/02. Labels and Classifiers.webm 11MB
  149. 15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/03. The Legend of Charting.webm 11MB
  150. 01. Data Analysis Basics/02. Getting to Know Your Data/04. Is Our Data Normal.webm 11MB
  151. 15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/02. Getting Started with Charting.webm 10MB
  152. 03. Introducing Lists/01. Meet Lists/02. Creation.webm 10MB
  153. 03. Introducing Lists/03. Build an Application/02. Add Items.webm 10MB
  154. 19. Introduction to Big Data/01. What is Big Data/02. Characteristics of Big Data.webm 10MB
  155. 01. Data Analysis Basics/02. Getting to Know Your Data/03. Analyzing Data Spread.webm 10MB
  156. 10. Introduction to Anaconda/03. Using conda to Install Packages.webm 9MB
  157. 01. Data Analysis Basics/02. Getting to Know Your Data/02. Summarizing Data Mean, Median, Mode.webm 9MB
  158. 01. Data Analysis Basics/02. Getting to Know Your Data/06. Charting Our Data Part 1.webm 9MB
  159. 13. Introduction to pandas/1. Exploring pandas/0.Importing Data.webm 9MB
  160. 07. Introducing Tuples/Getting to Know Tuples/02. Recap.webm 9MB
  161. 13. Introduction to pandas/1. Exploring pandas/2.Combining DataFrames.webm 9MB
  162. 15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/03. Problem Summary and Presentation.webm 9MB
  163. 05. Python Sequences/01. Sequence Iteration/02. Iterating with Basic For Loops.webm 9MB
  164. 18. Data from APIs/02. Gathering Weather Data.webm 8MB
  165. 06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/03. All About Returns.webm 8MB
  166. 05. Python Sequences/02. Sequence Operations/01. Sequence Operations.webm 8MB
  167. 07. Introducing Tuples/Getting to Know Tuples/01. Introducing Tuples.webm 8MB
  168. 20. Machine Learning Basics/03. Writing a Classifier/04. Machine Learning Review.webm 8MB
  169. 08. Object-Oriented Python/01. Instant Objects/02. Lets Make a Class!.webm 8MB
  170. 17. Scraping Data From the Web/03. Additional Scraping Tasks/05. Wrapping Up.webm 7MB
  171. 05. Python Sequences/01. Sequence Iteration/03. Iterating with Enumerate.webm 7MB
  172. 05. Python Sequences/02. Sequence Operations/02. Slices.webm 7MB
  173. 05. Python Sequences/02. Sequence Operations/05. Count and Index.webm 7MB
  174. 06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/04. Arguments and Parameters.webm 7MB
  175. 05. Python Sequences/01. Sequence Iteration/04. Iterating with Ranges.webm 6MB
  176. 04. Introducing Dictionaries/01. Introducing Dictionaries/04. Update and Mutate Dictionaries.webm 6MB
  177. 04. Introducing Dictionaries/01. Introducing Dictionaries/03. Accessing Keys and Values.webm 6MB
  178. 04. Introducing Dictionaries/02. Iterating and Packing with Dictionaries/01. Iterate over Dictionaries.webm 6MB
  179. 04. Introducing Dictionaries/02. Iterating and Packing with Dictionaries/02. Packing with Dictionaries.webm 6MB
  180. 03. Introducing Lists/03. Build an Application/04. Wrap Up.webm 6MB
  181. 06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/06. Multiple Arguments and Parameters.webm 6MB
  182. 13. Introduction to pandas/1. Exploring pandas/1.Manipulation.webm 5MB
  183. 06. Functions, Packing, and Unpacking/03. Packing and Unpacking/02. Packing, a Practical Example.webm 5MB
  184. 06. Functions, Packing, and Unpacking/03. Packing and Unpacking/04. Unpacking, a Practical Example.webm 5MB
  185. 06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/01. Moving Forward.webm 5MB
  186. 13. Introduction to pandas/0. Meet pandas/4.Onwards.webm 5MB
  187. 06. Functions, Packing, and Unpacking/03. Packing and Unpacking/03. Unpacking.webm 4MB
  188. 05. Python Sequences/02. Sequence Operations/07. Concatenation and Multiplication.webm 4MB
  189. 05. Python Sequences/02. Sequence Operations/03. Len, Min, and Max.webm 4MB
  190. 05. Python Sequences/02. Sequence Operations/04. Membership Testing.webm 4MB
  191. 01. Data Analysis Basics/01. Introducing Data Analysis/Project Files/marathon_results_2017.csv 4MB
  192. 06. Functions, Packing, and Unpacking/01. Introduction to Functions/02. Defining a Function.webm 4MB
  193. 06. Functions, Packing, and Unpacking/01. Introduction to Functions/03. Calling a Function.webm 3MB
  194. 13. Introduction to pandas/1. Exploring pandas/Instruction/Manipulation Techniques.png 1MB
  195. 13. Introduction to pandas/1. Exploring pandas/Instruction/Exploration Methods.png 1MB
  196. 13. Introduction to pandas/1. Exploring pandas/Instruction/Combining DataFrames.png 1MB
  197. 13. Introduction to pandas/1. Exploring pandas/Instruction/Grouping.png 946KB
  198. 13. Introduction to pandas/1. Exploring pandas/Instruction/Handling Duplicated and Missing Data.png 863KB
  199. 13. Introduction to pandas/1. Exploring pandas/Instruction/Selecting Data.png 752KB
  200. 13. Introduction to pandas/1. Exploring pandas/Instruction/Manipulating Text.png 725KB
  201. 13. Introduction to pandas/0. Meet pandas/Instruction/Accessing a DataFrame.png 718KB
  202. 13. Introduction to pandas/0. Meet pandas/Instruction/Accessing a Series.png 680KB
  203. 13. Introduction to pandas/0. Meet pandas/Instruction/Series Vectorization and Broadcasting.png 553KB
  204. 13. Introduction to pandas/0. Meet pandas/Instruction/Creating a Series.png 511KB
  205. 13. Introduction to pandas/0. Meet pandas/Instruction/Creating a DataFrame.png 465KB
  206. 13. Introduction to pandas/1. Exploring pandas/Instruction/Optional Challenge #3 - Verified Email List.png 419KB
  207. 13. Introduction to pandas/1. Exploring pandas/Instruction/Optional Challenge #2 - Update Users.png 399KB
  208. 13. Introduction to pandas/1. Exploring pandas/Instruction/Optional Challenge #1 - Top Referrers.png 394KB
  209. 13. Introduction to pandas/0. Meet pandas/Instruction/About This Course.png 301KB
  210. 15. Introduction to Data Visualization with Matplotlib/01. Getting Started with Data Visualization/Project Files/intro_matplotlib.zip 266KB
  211. 15. Introduction to Data Visualization with Matplotlib/02. Chart Toppers/Project Files/intro_matplotlib.zip 266KB
  212. 15. Introduction to Data Visualization with Matplotlib/03. Data Eruption/Project Files/intro_matplotlib.zip 266KB
  213. 08. Object-Oriented Python/01. Instant Objects/Project Files/Object-Oriented+Python+2.zip 130KB
  214. 08. Object-Oriented Python/02. Inheritance/Project Files/Object-Oriented+Python+2.zip 130KB
  215. 08. Object-Oriented Python/03. Advanced Objects/Project Files/Object-Oriented+Python+2.zip 130KB
  216. 08. Object-Oriented Python/04. Dice Roller/Project Files/Object-Oriented+Python+2.zip 130KB
  217. 13. Introduction to pandas/0. Meet pandas/Project Files/python-introducing-pandas-1.2.0.zip 88KB
  218. 12. Introduction to NumPy/01. Meet NumPy/Project Files/python-intro-to-numpy.zip 58KB
  219. 12. Introduction to NumPy/02. Array Organization/Project Files/python-intro-to-numpy.zip 58KB
  220. 12. Introduction to NumPy/03. Array Programming/Project Files/python-intro-to-numpy.zip 58KB
  221. 14. Preparing Data for Analysis/02. Data Cleaning/Project Files/preparing-data-for-analysis-student.zip 38KB
  222. 17. Scraping Data From the Web/01. Introducing Data Scraping/Project Files/scraping_data_from_the_web.zip 37KB
  223. 17. Scraping Data From the Web/02. A World Full of Spiders/Project Files/scraping_data_from_the_web.zip 37KB
  224. 17. Scraping Data From the Web/03. Additional Scraping Tasks/Project Files/scraping_data_from_the_web.zip 37KB
  225. 08. Object-Oriented Python/Object-Oriented Python.md 7KB
  226. Beginning Data Science.md 7KB
  227. 02. Python Basics/Python Basics.md 6KB
  228. 15. Introduction to Data Visualization with Matplotlib/Introduction to Data Visualization with Matplotlib.md 5KB
  229. 12. Introduction to NumPy/Introduction to NumPy.md 4KB
  230. 19. Introduction to Big Data/Introduction to Big Data.md 4KB
  231. 06. Functions, Packing, and Unpacking/Functions, Packing, and Unpacking.md 4KB
  232. 17. Scraping Data From the Web/Scraping Data From the Web.md 4KB
  233. 01. Data Analysis Basics/Data Analysis Basics.md 4KB
  234. 03. Introducing Lists/Introducing Lists.md 4KB
  235. 05. Python Sequences/Python Sequences.md 3KB
  236. 20. Machine Learning Basics/Machine Learning Basics.md 3KB
  237. 04. Introducing Dictionaries/Introducing Dictionaries.md 3KB
  238. 05. Python Sequences/02. Sequence Operations/08. Sequence Operations Cheat Sheet.md 3KB
  239. 07. Introducing Tuples/Getting to Know Tuples/04. Tuple Syntax.md 3KB
  240. 14. Preparing Data for Analysis/Preparing Data for Analysis.md 2KB
  241. 07. Introducing Tuples/Getting to Know Tuples/03. Tuples vs. Lists.md 2KB
  242. 07. Introducing Tuples/Introducing Tuples.md 2KB
  243. 17. Scraping Data From the Web/03. Additional Scraping Tasks/04. Common Issues with Data Scraping.md 2KB
  244. Common Issues with Data Scraping/Common Issues with Data Scraping.md 2KB
  245. 06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/05. Function Gotchas.md 2KB
  246. 06. Functions, Packing, and Unpacking/02. Getting Info In and Out of Functions/02. Functions Recap and Cheat Sheet.md 1KB
  247. 11. Jupyter Notebooks/Jupyter Notebooks.md 1KB
  248. 05. Python Sequences/02. Sequence Operations/06. Code Samples Membership Testing, Count, and Index.md 1KB
  249. 04. Introducing Dictionaries/02. Iterating and Packing with Dictionaries/03. Unpacking with Dictionaries.md 1KB
  250. 10. Introduction to Anaconda/Introduction to Anaconda.md 1KB
  251. 18. Data from APIs/Data from APIs.md 1KB
  252. 16. More Visualization/More Visualization.md 1KB
  253. 02. Python Basics/01. Meet Python/06. Code Challenges.md 908B
  254. 20. Machine Learning Basics/03. Writing a Classifier/Project Files/ML-machine-learning-basics.zip 614B
  255. 09. Learning SQL/Learning SQL.md 495B