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LinkedIn Learning Advance Your Skills in Python Complete 7 Co

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Added Saturday 18th May 2024 03:20:58 AM (2 years ago)
Size1.3 GB
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Torrent Files (334)
FilenameSize
2. Build a stack class in Python.mp441.1 MB
description.html1.4 KB
Exercises_Link.txt90 bytes
1. Learn Python by doing.mp43.2 MB
1. Learn Python by doing.srt1.5 KB
2. What you should know.mp41.0 MB
2. What you should know.srt909 bytes
3. Using GitHub Codespaces with this course.mp416.6 MB
3. Using GitHub Codespaces with this course.srt10.6 KB
1. Hello Python.mp49.3 MB
1. Hello Python.srt5.8 KB
1. Scope and indentation.mp47.0 MB
1. Scope and indentation.srt5.5 KB
2. Fancy string work.mp46.6 MB
2. Fancy string work.srt4.2 KB
3. Getting what you need from lists with slices.mp47.5 MB
3. Getting what you need from lists with slices.srt5.4 KB
4. Looping and iteration.mp410.2 MB
4. Looping and iteration.srt6.8 KB
5. Logic ifelifelse.mp49.3 MB
5. Logic ifelifelse.srt5.9 KB
1. Reading a CSV file.mp419.8 MB
1. Reading a CSV file.srt7.2 KB
2. Making calculations.mp46.7 MB
2. Making calculations.srt4.2 KB
3. Outputting JSON.mp414.8 MB
3. Outputting JSON.srt6.6 KB
4. Challenge Filtering output.mp44.8 MB
4. Challenge Filtering output.srt2.0 KB
5. Solution Filtering output.mp47.6 MB
5. Solution Filtering output.srt2.9 KB
1. Loading a JSON dataset.mp410.5 MB
1. Loading a JSON dataset.srt5.6 KB
2. Extending a small web server.mp415.0 MB
2. Extending a small web server.srt7.8 KB
3. Searching through data.mp413.1 MB
3. Searching through data.srt4.9 KB
4. Challenge Filtering results.mp42.6 MB
4. Challenge Filtering results.srt1.5 KB
5. Solution Filtering results.mp43.5 MB
5. Solution Filtering results.srt1.9 KB
1. Extend your new Python skills.mp42.7 MB
1. Extend your new Python skills.srt1.7 KB
1. Explore design patterns.mp44.9 MB
1. Explore design patterns.srt1.6 KB
2. What you should know.mp41.4 MB
2. What you should know.srt1.8 KB
1. What is a design pattern.mp410.0 MB
1. What is a design pattern.srt3.3 KB
2. Types of design patterns.mp44.3 MB
2. Types of design patterns.srt3.3 KB
description.html1.1 KB
Ex_Files_Python_Data_Structures.zip199.3 KB
1. Python data structures and algorithms in action.mp44.7 MB
1. Python data structures and algorithms in action.srt2.4 KB
2. What you should know.mp41.1 MB
2. What you should know.srt1.2 KB
1. Understand the example application.mp416.8 MB
1. Understand the example application.srt11.5 KB
2. Navigate the GUI.mp46.2 MB
2. Navigate the GUI.srt4.9 KB
1. Understand the stack data structure.mp48.6 MB
1. Understand the stack data structure.srt4.1 KB
0. Join Our Discord for More Awesome Stuff!.txt156 bytes
2. Build a stack class in Python.srt21.4 KB
3. Solution Reverse a string using a stack.mp45.0 MB
1. Understand the 2D list data structure.mp44.5 MB
1. Understand the 2D list data structure.srt3.1 KB
2. Represent a maze as a 2D list.mp49.9 MB
2. Represent a maze as a 2D list.srt8.2 KB
3. Read a maze from a text file.mp413.6 MB
3. Read a maze from a text file.srt8.5 KB
4. Challenge Read and display a maze from a text file.mp42.4 MB
4. Challenge Read and display a maze from a text file.srt1018 bytes
5. Solution Read and display a maze from a text file.mp44.6 MB
5. Solution Read and display a maze from a text file.srt1.7 KB
1. Understand the depth-first search algorithm.mp47.9 MB
1. Understand the depth-first search algorithm.srt5.9 KB
2. Visualize depth-first search on a grid.mp410.5 MB
2. Visualize depth-first search on a grid.srt9.1 KB
3. Use the Grid Tracer app.mp47.2 MB
3. Use the Grid Tracer app.srt5.3 KB
4. Code a depth-first search in Python.mp436.4 MB
4. Code a depth-first search in Python.srt19.9 KB
5. Challenge Trace the path of a depth-first search.mp42.2 MB
5. Challenge Trace the path of a depth-first search.srt1.4 KB
6. Solution Trace the path of a depth-first search.mp41.6 MB
6. Solution Trace the path of a depth-first search.srt989 bytes
1. Understand the queue data structure.mp411.3 MB
1. Understand the queue data structure.srt4.5 KB
2. Build a queue class in Python.mp425.2 MB
2. Build a queue class in Python.srt14.9 KB
3. Solution Practice queue methods.mp46.2 MB
1. Understand the breadth-first search algorithm.mp46.8 MB
1. Understand the breadth-first search algorithm.srt5.7 KB
2. Visualize breadth-first search in a grid.mp49.1 MB
2. Visualize breadth-first search in a grid.srt9.5 KB
3. Code a breadth-first search in Python.mp424.9 MB
3. Code a breadth-first search in Python.srt10.1 KB
4. Challenge Trace the path of a breadth-first search.mp41.7 MB
4. Challenge Trace the path of a breadth-first search.srt908 bytes
5. Solution Trace the path of a breadth-first search.mp41.7 MB
5. Solution Trace the path of a breadth-first search.srt1.1 KB
1. Understand the priority queue data structure.mp44.5 MB
1. Understand the priority queue data structure.srt2.7 KB
2. Use the heap module to implement a priority queue.mp421.3 MB
2. Use the heap module to implement a priority queue.srt11.7 KB
3. Solution Heapq methods practice.mp45.2 MB
1. Understand the A search algorithm.mp413.0 MB
1. Understand the A search algorithm.srt8.6 KB
2. Visualize the A algorithm.mp419.6 MB
2. Visualize the A algorithm.srt19.6 KB
3. Code the A algorithm in Python.mp424.0 MB
3. Code the A algorithm in Python.srt12.4 KB
4. Challenge Trace the path of an A search.mp42.4 MB
4. Challenge Trace the path of an A search.srt1.6 KB
5. Solution Trace the path of an A search.mp46.3 MB
5. Solution Trace the path of an A search.srt3.2 KB
1. Pathfinding algorithms in the course maze GUI.mp414.6 MB
1. Pathfinding algorithms in the course maze GUI.srt6.6 KB
2. Parting comments and what comes next.mp44.5 MB
2. Parting comments and what comes next.srt3.3 KB
description.html864 bytes
Ex_Files_Python_Automation_Testing_Upd.zip16.8 KB
1. Welcome.mp44.8 MB
1. Welcome.srt1.6 KB
2. What you should know.mp42.3 MB
2. What you should know.srt1.6 KB
3. Using the exercise files.mp43.0 MB
3. Using the exercise files.srt2.4 KB
1. What is automated testing.mp46.1 MB
1. What is automated testing.srt5.6 KB
2. Python-Selenium bindings.mp49.4 MB
2. Python-Selenium bindings.srt6.0 KB
3. A simple code example.mp43.3 MB
3. A simple code example.srt2.3 KB
4. Cross-browser support.mp48.0 MB
4. Cross-browser support.srt5.5 KB
5. Cross-browser support.mp411.1 MB
5. Cross-browser support.srt5.7 KB
1. What is the HTML DOM structure.mp42.5 MB
1. What is the HTML DOM structure.srt2.2 KB
2. Locating elements by ID.mp48.7 MB
2. Locating elements by ID.srt6.7 KB
3. Locating elements by name.mp44.0 MB
3. Locating elements by name.srt3.1 KB
4. Locating elements by XPath.mp411.0 MB
4. Locating elements by XPath.srt7.9 KB
5. Locating elements by class.mp46.0 MB
5. Locating elements by class.srt4.1 KB
6. Challenge.mp43.3 MB
6. Challenge.srt1.9 KB
7. Solution.mp415.4 MB
7. Solution.srt7.4 KB
8. Challenge.mp43.4 MB
8. Challenge.srt2.1 KB
9. Solution.mp415.8 MB
9. Solution.srt8.3 KB
10. Challenge.mp42.3 MB
10. Challenge.srt1.9 KB
11. Solution.mp49.0 MB
11. Solution.srt6.3 KB
1. Page interaction.mp45.8 MB
1. Page interaction.srt4.6 KB
2. Filling forms.mp411.9 MB
2. Filling forms.srt8.7 KB
3. Drag and drop elements.mp47.3 MB
3. Drag and drop elements.srt5.4 KB
4. Challenge.mp43.4 MB
4. Challenge.srt1.7 KB
5. Solution.mp414.7 MB
5. Solution.srt6.6 KB
1. What are waits and why do we need them.mp43.9 MB
1. What are waits and why do we need them.srt2.7 KB
2. Explicit waits.mp47.8 MB
2. Explicit waits.srt6.3 KB
3. Implicit waits.mp45.0 MB
3. Implicit waits.srt4.5 KB
1. Next steps.mp42.6 MB
1. Next steps.srt1.3 KB
1. Create a GUI for your Python desktop application.mp424.4 MB
1. Create a GUI for your Python desktop application.srt2.3 KB
2. What you should know.mp42.8 MB
2. What you should know.srt3.1 KB
3. Using the exercise files.mp41.9 MB
3. Using the exercise files.srt1.7 KB
1. Create an open-source project in Python.mp44.3 MB
1. Create an open-source project in Python.srt1.4 KB
2. What you should know.mp41.3 MB
2. What you should know.srt936 bytes
1. What is Poetry.mp46.5 MB
1. What is Poetry.srt5.0 KB
2. Install Poetry.mp44.1 MB
2. Install Poetry.srt3.2 KB
3. Starting a project.mp47.1 MB
3. Starting a project.srt5.5 KB
4. What is pyproject.toml.mp44.6 MB
4. What is pyproject.toml.srt3.9 KB
5. Adding dependencies.mp45.0 MB
5. Adding dependencies.srt3.1 KB
6. Poetry lock and install.mp46.6 MB
6. Poetry lock and install.srt4.5 KB
7. Checkpoint What you have so far.mp43.1 MB
7. Checkpoint What you have so far.srt2.0 KB
1. What is pytest.mp46.6 MB
1. What is pytest.srt3.1 KB
2. Introduction to your project.mp47.3 MB
2. Introduction to your project.srt3.9 KB
3. Writing simple tests.mp48.4 MB
3. Writing simple tests.srt6.1 KB
4. Testing with multiple parameters.mp410.0 MB
4. Testing with multiple parameters.srt6.6 KB
5. Test if an exception is raised.mp46.9 MB
5. Test if an exception is raised.srt4.1 KB
6. What is a fixture.mp49.8 MB
6. What is a fixture.srt5.3 KB
7. Using fixture.mp46.4 MB
7. Using fixture.srt3.3 KB
8. Skipping a test, with good reasons.mp48.4 MB
8. Skipping a test, with good reasons.srt5.2 KB
9. Checkpoint What you have so far.mp45.9 MB
9. Checkpoint What you have so far.srt3.2 KB
1. What is PEP 8.mp416.1 MB
1. What is PEP 8.srt9.9 KB
2. What is Black.mp47.6 MB
2. What is Black.srt5.1 KB
3. Formatting your code with Black.mp44.0 MB
3. Formatting your code with Black.srt3.0 KB
4. What is a linter.mp45.0 MB
4. What is a linter.srt2.8 KB
5. Linting your code with Flake8.mp411.8 MB
5. Linting your code with Flake8.srt5.7 KB
6. Using pre-commit to clean up automatically.mp45.9 MB
6. Using pre-commit to clean up automatically.srt4.5 KB
7. Checkpoint What you have so far.mp44.1 MB
7. Checkpoint What you have so far.srt2.4 KB
1. What is tox.mp44.2 MB
1. What is tox.srt2.7 KB
2. tox basic usage.mp45.1 MB
2. tox basic usage.srt3.5 KB
3. tox advance usage.mp45.2 MB
3. tox advance usage.srt2.8 KB
4. Checkpoint What you have so far.mp42.7 MB
4. Checkpoint What you have so far.srt1.6 KB
1. What is GitHub Action.mp45.0 MB
1. What is GitHub Action.srt3.1 KB
2. Setting up a workflow for testing.mp412.3 MB
2. Setting up a workflow for testing.srt6.2 KB
description.html1.1 KB
Exercises_Link.txt117 bytes
1. Real-world Python applications.mp43.4 MB
1. Real-world Python applications.srt1.0 KB
2. What you should know.mp4912.3 KB
2. What you should know.srt1.2 KB
3. GitHub Codespaces.mp413.5 MB
3. GitHub Codespaces.srt10.5 KB
1. What is web scraping.mp45.2 MB
1. What is web scraping.srt5.2 KB
2. Introducing the Wisdom Pet Medicine website.mp46.5 MB
2. Introducing the Wisdom Pet Medicine website.srt3.5 KB
3. How to explore a webpage.mp411.3 MB
3. How to explore a webpage.srt4.9 KB
4. Understanding HTML code.mp47.1 MB
4. Understanding HTML code.srt3.4 KB
5. Understanding the requests package.mp45.4 MB
5. Understanding the requests package.srt5.3 KB
6. How to use the get() method.mp45.1 MB
6. How to use the get() method.srt4.5 KB
7. How to retrieve webpage information.mp46.9 MB
7. How to retrieve webpage information.srt6.7 KB
8. How to retrieve HTML code.mp45.9 MB
8. How to retrieve HTML code.srt2.5 KB
9. How to use BeautifulSoup.mp46.1 MB
9. How to use BeautifulSoup.srt3.9 KB
10. How to use find() and find_all() methods.mp46.8 MB
10. How to use find() and find_all() methods.srt6.5 KB
11. How to loop find_all() methods.mp47.1 MB
11. How to loop find_all() methods.srt6.2 KB
12. How to retrieve webpage links.mp44.5 MB
12. How to retrieve webpage links.srt3.9 KB
13. How to write HTML code to a text file.mp44.3 MB
13. How to write HTML code to a text file.srt3.8 KB
1. What are APIs.mp44.1 MB
1. What are APIs.srt4.1 KB
2. Introducing Alpha Vantage API.mp410.7 MB
2. Introducing Alpha Vantage API.srt7.4 KB
3. How to access Alpha Vantage data.mp48.3 MB
3. How to access Alpha Vantage data.srt6.0 KB
4. How to use an API key.mp410.0 MB
4. How to use an API key.srt8.3 KB
5. How to pull stock data with the alpha_vantage package Part 1.mp49.3 MB
5. How to pull stock data with the alpha_vantage package Part 1.srt7.3 KB
6. How to pull stock data with the alpha_vantage package Part 2.mp44.5 MB
6. How to pull stock data with the alpha_vantage package Part 2.srt3.3 KB
7. How to pull stock data with the requests package.mp414.6 MB
7. How to pull stock data with the requests package.srt10.0 KB
8. How to put stock data into a DataFrame.mp414.1 MB
8. How to put stock data into a DataFrame.srt9.1 KB
9. How to use Alpha Vantage functions Part 1.mp49.6 MB
9. How to use Alpha Vantage functions Part 1.srt6.6 KB
10. How to use Alpha Vantage functions Part 2.mp47.2 MB
10. How to use Alpha Vantage functions Part 2.srt5.3 KB
11. How to use Alpha Vantage functions Part 3.mp414.3 MB
11. How to use Alpha Vantage functions Part 3.srt10.3 KB
12. Challenge Analyze Microsoft stock.mp44.9 MB
12. Challenge Analyze Microsoft stock.srt4.7 KB
13. Solution Analyze Microsoft stock.mp45.3 MB
13. Solution Analyze Microsoft stock.srt4.4 KB
1. What is text analysis.mp43.2 MB
1. What is text analysis.srt3.9 KB
2. Introducing Project Gutenberg and Great Expectations.mp45.2 MB
2. Introducing Project Gutenberg and Great Expectations.srt3.6 KB
3. How to pull text data.mp48.0 MB
3. How to pull text data.srt5.5 KB
4. How to clean text data.mp415.8 MB
4. How to clean text data.srt10.0 KB
5. How to create a word cloud.mp47.4 MB
5. How to create a word cloud.srt6.3 KB
6. How to improve a word cloud.mp48.6 MB
6. How to improve a word cloud.srt5.4 KB
7. How to analyze word frequency.mp48.6 MB
7. How to analyze word frequency.srt7.0 KB
8. How to perform Vader sentiment analysis.mp416.0 MB
8. How to perform Vader sentiment analysis.srt11.8 KB
9. How to build a corpus and dictionary for topic modeling.mp410.4 MB
9. How to build a corpus and dictionary for topic modeling.srt7.5 KB
10. How to perform topic modeling.mp415.1 MB
10. How to perform topic modeling.srt10.9 KB
11. Challenge Analyze Sense and Sensibility.mp45.9 MB
11. Challenge Analyze Sense and Sensibility.srt5.0 KB
12. Solution Analyze Sense and Sensibility.mp411.3 MB
12. Solution Analyze Sense and Sensibility.srt8.4 KB
1. Next steps.mp42.5 MB
1. Next steps.srt1.1 KB
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