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11 Web Scraping with Python/11-26 Books Project 12. Adding logging to our Python project.mkv 22.4 MB
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07 Databases in Python & Milestone (Project 2)/07-04 Storing books in files.mkv 16.6 MB
05 Errors in Python/05-09 Debugging with Pycharm.mkv 16.6 MB
11 Web Scraping with Python/11-02 Understanding HTML with BeautifulSoup.mkv 15.7 MB
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07 Databases in Python & Milestone (Project 2)/07-03 Milestone Project with lists.mkv 15.3 MB
01 Intro to Python/01-08 Boolean and comparisons in Python.mkv 12.8 MB
17 Algorithms and Data Structures/17-11 Deleting nodes in code with Python.mkv 12.7 MB
01 Intro to Python/01-09 Lists, tuples, and sets in Python.mkv 12.5 MB
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04 Object-Oriented Programming with Python/04-02 Intro to Object-Oriented Programming with Python.mkv 12.2 MB
08 Type hinting in Python/08-02 Typing in Python.mkv 12.2 MB
03 Milestone (Project 1)/03-09 Finding movies and retrieving their details.mkv 11.9 MB
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- 【影视】 Working with Algorithms in Python
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04. Brute Force Algorithms/01. Brute Force An Algorithm for Solving Combinatoric Problems.mp4 431.8 MB
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05. K-Dimensional Trees/01. KD Trees Efficient Processing of Two-Dimensional Datasets Part 1.mp4 363.3 MB
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09. Single-Source Shortest Path/01. Single-Source Shortest Path Using Priority Queues.mp4 332.9 MB
01. BinarySearch/02. Efficient Searching using BinaryArraySearch and Binary Search Trees Part 2.mp4 282.4 MB
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06. Graph Algorithms/01. Graph Algorithms Depth First Search Part 1.mp4 256.7 MB
08. Heap Data Structure/01. The Heap Data Structure and Its Use in HeapSort.mp4 213.9 MB
06. Graph Algorithms/02. Graph Algorithms Depth First Search Part 2.mp4 175.5 MB
04. Brute Force Algorithms/02. Using Brute Force to Generate Magic Squares.mp4 157.6 MB
05. K-Dimensional Trees/03. Using KD Trees to Compute Nearest Neighbor Queries.mp4 132.7 MB
05. K-Dimensional Trees/02. KD Trees Efficient Processing of Two-Dimensional Datasets Part 2.mp4 128.3 MB
06. Graph Algorithms/03. Using Depth First Search to Construct a Rectangular Maze.mp4 112.0 MB
02. O (n log n) Behavior/02. Using MergeSort to Sort External Data.mp4 105.0 MB
03. Mathematical Algorithms/02. Using Exponentiation by Squaring to Determine Whether an Integer Is Prime.mp4 79.5 MB
07. AllPairsShortestPath/02. Using Dynamic Programming to Compute Minimum Edit Distance.mp4 75.8 MB
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Slides/lecture04.pdf 3.1 MB
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15-data-visualization/060-visualization-part-2.mp4 44.4 MB
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16-numpy-library/065-useful-functions-from-the-numpy-library.mp4 43.1 MB
18-regular-expressions/071-patterns.mp4 38.9 MB
14-all-about-object-oriented-programming-oop/054-operator-overloading.mp4 37.9 MB
17-debugging/069-commands-for-debugging-part-2.mp4 35.8 MB
14-all-about-object-oriented-programming-oop/053-class-methods-part-2.mp4 28.8 MB
14-all-about-object-oriented-programming-oop/055-class-inheritance-part-1.mp4 28.1 MB
16-numpy-library/064-creating-numpy-objects.mp4 26.3 MB
15-data-visualization/062-pandas-library.mp4 25.5 MB
14-all-about-object-oriented-programming-oop/051-class-definition-and-object-instantiation.mp4 25.3 MB
17-debugging/068-commands-for-debugging-part-1.mp4 24.9 MB
18-regular-expressions/073-setting-the-search-parameters.mp4 24.8 MB
13-modules-and-packages/049-builtin-modules.mp4 23.8 MB
09-functions-in-python/030-passing-arguments-default-parameters-scope-and-nested-functions.mp4 22.0 MB
17-debugging/067-the-pdb-module.mp4 21.0 MB
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6. Linear Regression/10. Multiple Linear Regression in Python.mp4 92.4 MB
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5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
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3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.6 MB
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5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
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3. Pure Django API/19. One Endpoint to Rule the Model.mp4 90.1 MB
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4. Django Rest Framework/2. Install Django Rest Framework.mp4 53.3 MB
4. Django Rest Framework/40. Testing API.mp4 53.2 MB
2. API Basics/2. Behind the API.mp4 53.1 MB
4. Django Rest Framework/42. Django Rest API Wrap Up.mp4 51.3 MB
3. Pure Django API/15. Validating Data with a Model Form.mp4 50.5 MB
3. Pure Django API/16. Update & Delete.mp4 47.2 MB
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2. API Basics/3. The Magic of REST APIs.mp4 38.9 MB
4. Django Rest Framework/33. Nested Serializer Part 3.mp4 35.8 MB
4. Django Rest Framework/24. Custom Authentication View.mp4 33.8 MB
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3. Pure Django API/17. Validate JSON.mp4 30.9 MB
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3. Site #1 - Word Counter/9. Counting the words.mp4 445.0 MB
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5. Writing a Complete Program Guess the Number/1. Writing a Guess the Number Program.mp4 128.2 MB
15. Email/2. Checking Your Email Inbox.mp4 116.4 MB
11. Files/2. Reading and Writing Plaintext Files.mp4 114.5 MB
13. Web Scraping/4. Controlling the Browser with the Selenium Module.mp4 110.1 MB
11. Files/1. Filenames and AbsoluteRelative File Paths.mp4 103.1 MB
10. Regular Expressions/7. Regex Example Program A Phone and Email Scraper.srt 98.4 MB
10. Regular Expressions/7. Regex Example Program A Phone and Email Scraper.mp4 98.4 MB
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10. Regular Expressions/6. Regex sub() Method and Verbose Mode.mp4 86.8 MB
10. Regular Expressions/4. Regex Character Classes and the findall() Method.mp4 82.7 MB
10. Regular Expressions/3. Repetition in Regex Patterns and GreedyNongreedy Matching.mp4 81.9 MB
14. Excel, Word, and PDF Documents/3. Reading and Editing PDFs.mp4 81.1 MB
10. Regular Expressions/5. Regex Dot-Star and the CaretDollar Characters.mp4 78.3 MB
2. Flow Control/4. For Loops.mp4 74.0 MB
12. Debugging/1. The raise and assert Statements.mp4 71.3 MB
12. Debugging/3. Using the Debugger.mp4 69.2 MB
13. Web Scraping/3. Parsing HTML with the Beautiful Soup Module.mp4 65.9 MB
16. GUI Automation/1. Controlling the Mouse from Python.mp4 65.6 MB
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5. Evaluation Metrics/4. Classification Reports in Evaluation Metrics.mp4 122.5 MB
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3. Linear Regression/1. Linear Regression in ML.mp4 87.0 MB
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3. Linear Regression/3. Linear Regression Example Continues.mp4 83.6 MB
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4. Classifier and Python Package/3. K Mean Clustering.mp4 70.5 MB
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6. Missing Value/1. Handling Missing Values in Python.mp4 66.6 MB
5. Evaluation Metrics/6. Sea Born Example using Evaluation Metrics.mp4 66.6 MB
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9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 166.6 MB
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10. Machine Learning/9. Logistic Regression Part 4.mp4 102.7 MB
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10. Machine Learning/13. Support Vector Machines - Part 2.mp4 90.0 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 82.5 MB
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2. Setup/3. iPythonJupyter Notebook Overview.mp4 72.3 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 72.2 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
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10. Machine Learning/17. Natural Language Processing Part 1.mp4 65.8 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 64.9 MB
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06 Conclusion/001 Next steps.mp4 11.8 MB
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02 Overview of Visual Studio Code/001 A tour of the user interface.mp4 9.4 MB
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04 Python Code Debugging/004 Conditional breakpoints.mp4 8.5 MB
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2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
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10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
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