LinkedIn Learning Advance Your Skills in Python Complete 7 Co
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LinkedIn Learning Advance Your Skills in Python Complete 7 Co
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LinkedIn Learning Advance Your Skills in Python Complete 7 Co
2. Build a stack class in Python.mp4 -
description.html -
Exercises_Link.txt -
1. Learn Python by doing.mp4 -
1. Learn Python by doing.srt -
2. What you should know.mp4 -
2. What you should know.srt -
3. Using GitHub Codespaces with this course.mp4 -
3. Using GitHub Codespaces with this course.srt -
1. Hello Python.mp4 -
1. Hello Python.srt -
1. Scope and indentation.mp4 -
1. Scope and indentation.srt -
2. Fancy string work.mp4 -
2. Fancy string work.srt -
3. Getting what you need from lists with slices.mp4 -
3. Getting what you need from lists with slices.srt -
4. Looping and iteration.mp4 -
4. Looping and iteration.srt -
5. Logic ifelifelse.mp4 -
5. Logic ifelifelse.srt -
1. Reading a CSV file.mp4 -
1. Reading a CSV file.srt -
2. Making calculations.mp4 -
2. Making calculations.srt -
3. Outputting JSON.mp4 -
3. Outputting JSON.srt -
4. Challenge Filtering output.mp4 -
4. Challenge Filtering output.srt -
5. Solution Filtering output.mp4 -
5. Solution Filtering output.srt -
1. Loading a JSON dataset.mp4 -
1. Loading a JSON dataset.srt -
2. Extending a small web server.mp4 -
2. Extending a small web server.srt -
3. Searching through data.mp4 -
3. Searching through data.srt -
4. Challenge Filtering results.mp4 -
4. Challenge Filtering results.srt -
5. Solution Filtering results.mp4 -
5. Solution Filtering results.srt -
1. Extend your new Python skills.mp4 -
1. Extend your new Python skills.srt -
1. Explore design patterns.mp4 -
1. Explore design patterns.srt -
2. What you should know.mp4 -
2. What you should know.srt -
1. What is a design pattern.mp4 -
1. What is a design pattern.srt -
2. Types of design patterns.mp4 -
2. Types of design patterns.srt -
description.html -
Ex_Files_Python_Data_Structures.zip -
1. Python data structures and algorithms in action.mp4 -
1. Python data structures and algorithms in action.srt -
2. What you should know.mp4 -
2. What you should know.srt -
1. Understand the example application.mp4 -
1. Understand the example application.srt -
2. Navigate the GUI.mp4 -
2. Navigate the GUI.srt -
1. Understand the stack data structure.mp4 -
1. Understand the stack data structure.srt -
0. Join Our Discord for More Awesome Stuff!.txt -
2. Build a stack class in Python.srt -
3. Solution Reverse a string using a stack.mp4 -
1. Understand the 2D list data structure.mp4 -
1. Understand the 2D list data structure.srt -
2. Represent a maze as a 2D list.mp4 -
2. Represent a maze as a 2D list.srt -
3. Read a maze from a text file.mp4 -
3. Read a maze from a text file.srt -
4. Challenge Read and display a maze from a text file.mp4 -
4. Challenge Read and display a maze from a text file.srt -
5. Solution Read and display a maze from a text file.mp4 -
5. Solution Read and display a maze from a text file.srt -
1. Understand the depth-first search algorithm.mp4 -
1. Understand the depth-first search algorithm.srt -
2. Visualize depth-first search on a grid.mp4 -
2. Visualize depth-first search on a grid.srt -
3. Use the Grid Tracer app.mp4 -
3. Use the Grid Tracer app.srt -
4. Code a depth-first search in Python.mp4 -
4. Code a depth-first search in Python.srt -
5. Challenge Trace the path of a depth-first search.mp4 -
5. Challenge Trace the path of a depth-first search.srt -
6. Solution Trace the path of a depth-first search.mp4 -
6. Solution Trace the path of a depth-first search.srt -
1. Understand the queue data structure.mp4 -
1. Understand the queue data structure.srt -
2. Build a queue class in Python.mp4 -
2. Build a queue class in Python.srt -
3. Solution Practice queue methods.mp4 -
1. Understand the breadth-first search algorithm.mp4 -
1. Understand the breadth-first search algorithm.srt -
2. Visualize breadth-first search in a grid.mp4 -
2. Visualize breadth-first search in a grid.srt -
3. Code a breadth-first search in Python.mp4 -
3. Code a breadth-first search in Python.srt -
4. Challenge Trace the path of a breadth-first search.mp4 -
4. Challenge Trace the path of a breadth-first search.srt -
5. Solution Trace the path of a breadth-first search.mp4 -
5. Solution Trace the path of a breadth-first search.srt -
1. Understand the priority queue data structure.mp4 -
1. Understand the priority queue data structure.srt -
2. Use the heap module to implement a priority queue.mp4 -
2. Use the heap module to implement a priority queue.srt -
3. Solution Heapq methods practice.mp4 -
1. Understand the A search algorithm.mp4 -
1. Understand the A search algorithm.srt -
2. Visualize the A algorithm.mp4 -
2. Visualize the A algorithm.srt -
3. Code the A algorithm in Python.mp4 -
3. Code the A algorithm in Python.srt -
4. Challenge Trace the path of an A search.mp4 -
4. Challenge Trace the path of an A search.srt -
5. Solution Trace the path of an A search.mp4 -
5. Solution Trace the path of an A search.srt -
1. Pathfinding algorithms in the course maze GUI.mp4 -
1. Pathfinding algorithms in the course maze GUI.srt -
2. Parting comments and what comes next.mp4 -
2. Parting comments and what comes next.srt -
description.html -
Ex_Files_Python_Automation_Testing_Upd.zip -
1. Welcome.mp4 -
1. Welcome.srt -
2. What you should know.mp4 -
2. What you should know.srt -
3. Using the exercise files.mp4 -
3. Using the exercise files.srt -
1. What is automated testing.mp4 -
1. What is automated testing.srt -
2. Python-Selenium bindings.mp4 -
2. Python-Selenium bindings.srt -
3. A simple code example.mp4 -
3. A simple code example.srt -
4. Cross-browser support.mp4 -
4. Cross-browser support.srt -
5. Cross-browser support.mp4 -
5. Cross-browser support.srt -
1. What is the HTML DOM structure.mp4 -
1. What is the HTML DOM structure.srt -
2. Locating elements by ID.mp4 -
2. Locating elements by ID.srt -
3. Locating elements by name.mp4 -
3. Locating elements by name.srt -
4. Locating elements by XPath.mp4 -
4. Locating elements by XPath.srt -
5. Locating elements by class.mp4 -
5. Locating elements by class.srt -
6. Challenge.mp4 -
6. Challenge.srt -
7. Solution.mp4 -
7. Solution.srt -
8. Challenge.mp4 -
8. Challenge.srt -
9. Solution.mp4 -
9. Solution.srt -
10. Challenge.mp4 -
10. Challenge.srt -
11. Solution.mp4 -
11. Solution.srt -
1. Page interaction.mp4 -
1. Page interaction.srt -
2. Filling forms.mp4 -
2. Filling forms.srt -
3. Drag and drop elements.mp4 -
3. Drag and drop elements.srt -
4. Challenge.mp4 -
4. Challenge.srt -
5. Solution.mp4 -
5. Solution.srt -
1. What are waits and why do we need them.mp4 -
1. What are waits and why do we need them.srt -
2. Explicit waits.mp4 -
2. Explicit waits.srt -
3. Implicit waits.mp4 -
3. Implicit waits.srt -
1. Next steps.mp4 -
1. Next steps.srt -
1. Create a GUI for your Python desktop application.mp4 -
1. Create a GUI for your Python desktop application.srt -
2. What you should know.mp4 -
2. What you should know.srt -
3. Using the exercise files.mp4 -
3. Using the exercise files.srt -
1. Create an open-source project in Python.mp4 -
1. Create an open-source project in Python.srt -
2. What you should know.mp4 -
2. What you should know.srt -
1. What is Poetry.mp4 -
1. What is Poetry.srt -
2. Install Poetry.mp4 -
2. Install Poetry.srt -
3. Starting a project.mp4 -
3. Starting a project.srt -
4. What is pyproject.toml.mp4 -
4. What is pyproject.toml.srt -
5. Adding dependencies.mp4 -
5. Adding dependencies.srt -
6. Poetry lock and install.mp4 -
6. Poetry lock and install.srt -
7. Checkpoint What you have so far.mp4 -
7. Checkpoint What you have so far.srt -
1. What is pytest.mp4 -
1. What is pytest.srt -
2. Introduction to your project.mp4 -
2. Introduction to your project.srt -
3. Writing simple tests.mp4 -
3. Writing simple tests.srt -
4. Testing with multiple parameters.mp4 -
4. Testing with multiple parameters.srt -
5. Test if an exception is raised.mp4 -
5. Test if an exception is raised.srt -
6. What is a fixture.mp4 -
6. What is a fixture.srt -
7. Using fixture.mp4 -
7. Using fixture.srt -
8. Skipping a test, with good reasons.mp4 -
8. Skipping a test, with good reasons.srt -
9. Checkpoint What you have so far.mp4 -
9. Checkpoint What you have so far.srt -
1. What is PEP 8.mp4 -
1. What is PEP 8.srt -
2. What is Black.mp4 -
2. What is Black.srt -
3. Formatting your code with Black.mp4 -
3. Formatting your code with Black.srt -
4. What is a linter.mp4 -
4. What is a linter.srt -
5. Linting your code with Flake8.mp4 -
5. Linting your code with Flake8.srt -
6. Using pre-commit to clean up automatically.mp4 -
6. Using pre-commit to clean up automatically.srt -
7. Checkpoint What you have so far.mp4 -
7. Checkpoint What you have so far.srt -
1. What is tox.mp4 -
1. What is tox.srt -
2. tox basic usage.mp4 -
2. tox basic usage.srt -
3. tox advance usage.mp4 -
3. tox advance usage.srt -
4. Checkpoint What you have so far.mp4 -
4. Checkpoint What you have so far.srt -
1. What is GitHub Action.mp4 -
1. What is GitHub Action.srt -
2. Setting up a workflow for testing.mp4 -
2. Setting up a workflow for testing.srt -
description.html -
Exercises_Link.txt -
1. Real-world Python applications.mp4 -
1. Real-world Python applications.srt -
2. What you should know.mp4 -
2. What you should know.srt -
3. GitHub Codespaces.mp4 -
3. GitHub Codespaces.srt -
1. What is web scraping.mp4 -
1. What is web scraping.srt -
2. Introducing the Wisdom Pet Medicine website.mp4 -
2. Introducing the Wisdom Pet Medicine website.srt -
3. How to explore a webpage.mp4 -
3. How to explore a webpage.srt -
4. Understanding HTML code.mp4 -
4. Understanding HTML code.srt -
5. Understanding the requests package.mp4 -
5. Understanding the requests package.srt -
6. How to use the get() method.mp4 -
6. How to use the get() method.srt -
7. How to retrieve webpage information.mp4 -
7. How to retrieve webpage information.srt -
8. How to retrieve HTML code.mp4 -
8. How to retrieve HTML code.srt -
9. How to use BeautifulSoup.mp4 -
9. How to use BeautifulSoup.srt -
10. How to use find() and find_all() methods.mp4 -
10. How to use find() and find_all() methods.srt -
11. How to loop find_all() methods.mp4 -
11. How to loop find_all() methods.srt -
12. How to retrieve webpage links.mp4 -
12. How to retrieve webpage links.srt -
13. How to write HTML code to a text file.mp4 -
13. How to write HTML code to a text file.srt -
1. What are APIs.mp4 -
1. What are APIs.srt -
2. Introducing Alpha Vantage API.mp4 -
2. Introducing Alpha Vantage API.srt -
3. How to access Alpha Vantage data.mp4 -
3. How to access Alpha Vantage data.srt -
4. How to use an API key.mp4 -
4. How to use an API key.srt -
5. How to pull stock data with the alpha_vantage package Part 1.mp4 -
5. How to pull stock data with the alpha_vantage package Part 1.srt -
6. How to pull stock data with the alpha_vantage package Part 2.mp4 -
6. How to pull stock data with the alpha_vantage package Part 2.srt -
7. How to pull stock data with the requests package.mp4 -
7. How to pull stock data with the requests package.srt -
8. How to put stock data into a DataFrame.mp4 -
8. How to put stock data into a DataFrame.srt -
9. How to use Alpha Vantage functions Part 1.mp4 -
9. How to use Alpha Vantage functions Part 1.srt -
10. How to use Alpha Vantage functions Part 2.mp4 -
10. How to use Alpha Vantage functions Part 2.srt -
11. How to use Alpha Vantage functions Part 3.mp4 -
11. How to use Alpha Vantage functions Part 3.srt -
12. Challenge Analyze Microsoft stock.mp4 -
12. Challenge Analyze Microsoft stock.srt -
13. Solution Analyze Microsoft stock.mp4 -
13. Solution Analyze Microsoft stock.srt -
1. What is text analysis.mp4 -
1. What is text analysis.srt -
2. Introducing Project Gutenberg and Great Expectations.mp4 -
2. Introducing Project Gutenberg and Great Expectations.srt -
3. How to pull text data.mp4 -
3. How to pull text data.srt -
4. How to clean text data.mp4 -
4. How to clean text data.srt -
5. How to create a word cloud.mp4 -
5. How to create a word cloud.srt -
6. How to improve a word cloud.mp4 -
6. How to improve a word cloud.srt -
7. How to analyze word frequency.mp4 -
7. How to analyze word frequency.srt -
8. How to perform Vader sentiment analysis.mp4 -
8. How to perform Vader sentiment analysis.srt -
9. How to build a corpus and dictionary for topic modeling.mp4 -
9. How to build a corpus and dictionary for topic modeling.srt -
10. How to perform topic modeling.mp4 -
10. How to perform topic modeling.srt -
11. Challenge Analyze Sense and Sensibility.mp4 -
11. Challenge Analyze Sense and Sensibility.srt -
12. Solution Analyze Sense and Sensibility.mp4 -
12. Solution Analyze Sense and Sensibility.srt -
1. Next steps.mp4 -
1. Next steps.srt -
Please login or create a FREE account to post comments
2. Build a stack class in Python.mp4 -
41.1 MB
description.html -
1.4 KB
Exercises_Link.txt -
90 bytes
1. Learn Python by doing.mp4 -
3.2 MB
1. Learn Python by doing.srt -
1.5 KB
2. What you should know.mp4 -
1.0 MB
2. What you should know.srt -
909 bytes
3. Using GitHub Codespaces with this course.mp4 -
16.6 MB
3. Using GitHub Codespaces with this course.srt -
10.6 KB
1. Hello Python.mp4 -
9.3 MB
1. Hello Python.srt -
5.8 KB
1. Scope and indentation.mp4 -
7.0 MB
1. Scope and indentation.srt -
5.5 KB
2. Fancy string work.mp4 -
6.6 MB
2. Fancy string work.srt -
4.2 KB
3. Getting what you need from lists with slices.mp4 -
7.5 MB
3. Getting what you need from lists with slices.srt -
5.4 KB
4. Looping and iteration.mp4 -
10.2 MB
4. Looping and iteration.srt -
6.8 KB
5. Logic ifelifelse.mp4 -
9.3 MB
5. Logic ifelifelse.srt -
5.9 KB
1. Reading a CSV file.mp4 -
19.8 MB
1. Reading a CSV file.srt -
7.2 KB
2. Making calculations.mp4 -
6.7 MB
2. Making calculations.srt -
4.2 KB
3. Outputting JSON.mp4 -
14.8 MB
3. Outputting JSON.srt -
6.6 KB
4. Challenge Filtering output.mp4 -
4.8 MB
4. Challenge Filtering output.srt -
2.0 KB
5. Solution Filtering output.mp4 -
7.6 MB
5. Solution Filtering output.srt -
2.9 KB
1. Loading a JSON dataset.mp4 -
10.5 MB
1. Loading a JSON dataset.srt -
5.6 KB
2. Extending a small web server.mp4 -
15.0 MB
2. Extending a small web server.srt -
7.8 KB
3. Searching through data.mp4 -
13.1 MB
3. Searching through data.srt -
4.9 KB
4. Challenge Filtering results.mp4 -
2.6 MB
4. Challenge Filtering results.srt -
1.5 KB
5. Solution Filtering results.mp4 -
3.5 MB
5. Solution Filtering results.srt -
1.9 KB
1. Extend your new Python skills.mp4 -
2.7 MB
1. Extend your new Python skills.srt -
1.7 KB
1. Explore design patterns.mp4 -
4.9 MB
1. Explore design patterns.srt -
1.6 KB
2. What you should know.mp4 -
1.4 MB
2. What you should know.srt -
1.8 KB
1. What is a design pattern.mp4 -
10.0 MB
1. What is a design pattern.srt -
3.3 KB
2. Types of design patterns.mp4 -
4.3 MB
2. Types of design patterns.srt -
3.3 KB
description.html -
1.1 KB
Ex_Files_Python_Data_Structures.zip -
199.3 KB
1. Python data structures and algorithms in action.mp4 -
4.7 MB
1. Python data structures and algorithms in action.srt -
2.4 KB
2. What you should know.mp4 -
1.1 MB
2. What you should know.srt -
1.2 KB
1. Understand the example application.mp4 -
16.8 MB
1. Understand the example application.srt -
11.5 KB
2. Navigate the GUI.mp4 -
6.2 MB
2. Navigate the GUI.srt -
4.9 KB
1. Understand the stack data structure.mp4 -
8.6 MB
1. Understand the stack data structure.srt -
4.1 KB
0. Join Our Discord for More Awesome Stuff!.txt -
156 bytes
2. Build a stack class in Python.srt -
21.4 KB
3. Solution Reverse a string using a stack.mp4 -
5.0 MB
1. Understand the 2D list data structure.mp4 -
4.5 MB
1. Understand the 2D list data structure.srt -
3.1 KB
2. Represent a maze as a 2D list.mp4 -
9.9 MB
2. Represent a maze as a 2D list.srt -
8.2 KB
3. Read a maze from a text file.mp4 -
13.6 MB
3. Read a maze from a text file.srt -
8.5 KB
4. Challenge Read and display a maze from a text file.mp4 -
2.4 MB
4. Challenge Read and display a maze from a text file.srt -
1018 bytes
5. Solution Read and display a maze from a text file.mp4 -
4.6 MB
5. Solution Read and display a maze from a text file.srt -
1.7 KB
1. Understand the depth-first search algorithm.mp4 -
7.9 MB
1. Understand the depth-first search algorithm.srt -
5.9 KB
2. Visualize depth-first search on a grid.mp4 -
10.5 MB
2. Visualize depth-first search on a grid.srt -
9.1 KB
3. Use the Grid Tracer app.mp4 -
7.2 MB
3. Use the Grid Tracer app.srt -
5.3 KB
4. Code a depth-first search in Python.mp4 -
36.4 MB
4. Code a depth-first search in Python.srt -
19.9 KB
5. Challenge Trace the path of a depth-first search.mp4 -
2.2 MB
5. Challenge Trace the path of a depth-first search.srt -
1.4 KB
6. Solution Trace the path of a depth-first search.mp4 -
1.6 MB
6. Solution Trace the path of a depth-first search.srt -
989 bytes
1. Understand the queue data structure.mp4 -
11.3 MB
1. Understand the queue data structure.srt -
4.5 KB
2. Build a queue class in Python.mp4 -
25.2 MB
2. Build a queue class in Python.srt -
14.9 KB
3. Solution Practice queue methods.mp4 -
6.2 MB
1. Understand the breadth-first search algorithm.mp4 -
6.8 MB
1. Understand the breadth-first search algorithm.srt -
5.7 KB
2. Visualize breadth-first search in a grid.mp4 -
9.1 MB
2. Visualize breadth-first search in a grid.srt -
9.5 KB
3. Code a breadth-first search in Python.mp4 -
24.9 MB
3. Code a breadth-first search in Python.srt -
10.1 KB
4. Challenge Trace the path of a breadth-first search.mp4 -
1.7 MB
4. Challenge Trace the path of a breadth-first search.srt -
908 bytes
5. Solution Trace the path of a breadth-first search.mp4 -
1.7 MB
5. Solution Trace the path of a breadth-first search.srt -
1.1 KB
1. Understand the priority queue data structure.mp4 -
4.5 MB
1. Understand the priority queue data structure.srt -
2.7 KB
2. Use the heap module to implement a priority queue.mp4 -
21.3 MB
2. Use the heap module to implement a priority queue.srt -
11.7 KB
3. Solution Heapq methods practice.mp4 -
5.2 MB
1. Understand the A search algorithm.mp4 -
13.0 MB
1. Understand the A search algorithm.srt -
8.6 KB
2. Visualize the A algorithm.mp4 -
19.6 MB
2. Visualize the A algorithm.srt -
19.6 KB
3. Code the A algorithm in Python.mp4 -
24.0 MB
3. Code the A algorithm in Python.srt -
12.4 KB
4. Challenge Trace the path of an A search.mp4 -
2.4 MB
4. Challenge Trace the path of an A search.srt -
1.6 KB
5. Solution Trace the path of an A search.mp4 -
6.3 MB
5. Solution Trace the path of an A search.srt -
3.2 KB
1. Pathfinding algorithms in the course maze GUI.mp4 -
14.6 MB
1. Pathfinding algorithms in the course maze GUI.srt -
6.6 KB
2. Parting comments and what comes next.mp4 -
4.5 MB
2. Parting comments and what comes next.srt -
3.3 KB
description.html -
864 bytes
Ex_Files_Python_Automation_Testing_Upd.zip -
16.8 KB
1. Welcome.mp4 -
4.8 MB
1. Welcome.srt -
1.6 KB
2. What you should know.mp4 -
2.3 MB
2. What you should know.srt -
1.6 KB
3. Using the exercise files.mp4 -
3.0 MB
3. Using the exercise files.srt -
2.4 KB
1. What is automated testing.mp4 -
6.1 MB
1. What is automated testing.srt -
5.6 KB
2. Python-Selenium bindings.mp4 -
9.4 MB
2. Python-Selenium bindings.srt -
6.0 KB
3. A simple code example.mp4 -
3.3 MB
3. A simple code example.srt -
2.3 KB
4. Cross-browser support.mp4 -
8.0 MB
4. Cross-browser support.srt -
5.5 KB
5. Cross-browser support.mp4 -
11.1 MB
5. Cross-browser support.srt -
5.7 KB
1. What is the HTML DOM structure.mp4 -
2.5 MB
1. What is the HTML DOM structure.srt -
2.2 KB
2. Locating elements by ID.mp4 -
8.7 MB
2. Locating elements by ID.srt -
6.7 KB
3. Locating elements by name.mp4 -
4.0 MB
3. Locating elements by name.srt -
3.1 KB
4. Locating elements by XPath.mp4 -
11.0 MB
4. Locating elements by XPath.srt -
7.9 KB
5. Locating elements by class.mp4 -
6.0 MB
5. Locating elements by class.srt -
4.1 KB
6. Challenge.mp4 -
3.3 MB
6. Challenge.srt -
1.9 KB
7. Solution.mp4 -
15.4 MB
7. Solution.srt -
7.4 KB
8. Challenge.mp4 -
3.4 MB
8. Challenge.srt -
2.1 KB
9. Solution.mp4 -
15.8 MB
9. Solution.srt -
8.3 KB
10. Challenge.mp4 -
2.3 MB
10. Challenge.srt -
1.9 KB
11. Solution.mp4 -
9.0 MB
11. Solution.srt -
6.3 KB
1. Page interaction.mp4 -
5.8 MB
1. Page interaction.srt -
4.6 KB
2. Filling forms.mp4 -
11.9 MB
2. Filling forms.srt -
8.7 KB
3. Drag and drop elements.mp4 -
7.3 MB
3. Drag and drop elements.srt -
5.4 KB
4. Challenge.mp4 -
3.4 MB
4. Challenge.srt -
1.7 KB
5. Solution.mp4 -
14.7 MB
5. Solution.srt -
6.6 KB
1. What are waits and why do we need them.mp4 -
3.9 MB
1. What are waits and why do we need them.srt -
2.7 KB
2. Explicit waits.mp4 -
7.8 MB
2. Explicit waits.srt -
6.3 KB
3. Implicit waits.mp4 -
5.0 MB
3. Implicit waits.srt -
4.5 KB
1. Next steps.mp4 -
2.6 MB
1. Next steps.srt -
1.3 KB
1. Create a GUI for your Python desktop application.mp4 -
24.4 MB
1. Create a GUI for your Python desktop application.srt -
2.3 KB
2. What you should know.mp4 -
2.8 MB
2. What you should know.srt -
3.1 KB
3. Using the exercise files.mp4 -
1.9 MB
3. Using the exercise files.srt -
1.7 KB
1. Create an open-source project in Python.mp4 -
4.3 MB
1. Create an open-source project in Python.srt -
1.4 KB
2. What you should know.mp4 -
1.3 MB
2. What you should know.srt -
936 bytes
1. What is Poetry.mp4 -
6.5 MB
1. What is Poetry.srt -
5.0 KB
2. Install Poetry.mp4 -
4.1 MB
2. Install Poetry.srt -
3.2 KB
3. Starting a project.mp4 -
7.1 MB
3. Starting a project.srt -
5.5 KB
4. What is pyproject.toml.mp4 -
4.6 MB
4. What is pyproject.toml.srt -
3.9 KB
5. Adding dependencies.mp4 -
5.0 MB
5. Adding dependencies.srt -
3.1 KB
6. Poetry lock and install.mp4 -
6.6 MB
6. Poetry lock and install.srt -
4.5 KB
7. Checkpoint What you have so far.mp4 -
3.1 MB
7. Checkpoint What you have so far.srt -
2.0 KB
1. What is pytest.mp4 -
6.6 MB
1. What is pytest.srt -
3.1 KB
2. Introduction to your project.mp4 -
7.3 MB
2. Introduction to your project.srt -
3.9 KB
3. Writing simple tests.mp4 -
8.4 MB
3. Writing simple tests.srt -
6.1 KB
4. Testing with multiple parameters.mp4 -
10.0 MB
4. Testing with multiple parameters.srt -
6.6 KB
5. Test if an exception is raised.mp4 -
6.9 MB
5. Test if an exception is raised.srt -
4.1 KB
6. What is a fixture.mp4 -
9.8 MB
6. What is a fixture.srt -
5.3 KB
7. Using fixture.mp4 -
6.4 MB
7. Using fixture.srt -
3.3 KB
8. Skipping a test, with good reasons.mp4 -
8.4 MB
8. Skipping a test, with good reasons.srt -
5.2 KB
9. Checkpoint What you have so far.mp4 -
5.9 MB
9. Checkpoint What you have so far.srt -
3.2 KB
1. What is PEP 8.mp4 -
16.1 MB
1. What is PEP 8.srt -
9.9 KB
2. What is Black.mp4 -
7.6 MB
2. What is Black.srt -
5.1 KB
3. Formatting your code with Black.mp4 -
4.0 MB
3. Formatting your code with Black.srt -
3.0 KB
4. What is a linter.mp4 -
5.0 MB
4. What is a linter.srt -
2.8 KB
5. Linting your code with Flake8.mp4 -
11.8 MB
5. Linting your code with Flake8.srt -
5.7 KB
6. Using pre-commit to clean up automatically.mp4 -
5.9 MB
6. Using pre-commit to clean up automatically.srt -
4.5 KB
7. Checkpoint What you have so far.mp4 -
4.1 MB
7. Checkpoint What you have so far.srt -
2.4 KB
1. What is tox.mp4 -
4.2 MB
1. What is tox.srt -
2.7 KB
2. tox basic usage.mp4 -
5.1 MB
2. tox basic usage.srt -
3.5 KB
3. tox advance usage.mp4 -
5.2 MB
3. tox advance usage.srt -
2.8 KB
4. Checkpoint What you have so far.mp4 -
2.7 MB
4. Checkpoint What you have so far.srt -
1.6 KB
1. What is GitHub Action.mp4 -
5.0 MB
1. What is GitHub Action.srt -
3.1 KB
2. Setting up a workflow for testing.mp4 -
12.3 MB
2. Setting up a workflow for testing.srt -
6.2 KB
description.html -
1.1 KB
Exercises_Link.txt -
117 bytes
1. Real-world Python applications.mp4 -
3.4 MB
1. Real-world Python applications.srt -
1.0 KB
2. What you should know.mp4 -
912.3 KB
2. What you should know.srt -
1.2 KB
3. GitHub Codespaces.mp4 -
13.5 MB
3. GitHub Codespaces.srt -
10.5 KB
1. What is web scraping.mp4 -
5.2 MB
1. What is web scraping.srt -
5.2 KB
2. Introducing the Wisdom Pet Medicine website.mp4 -
6.5 MB
2. Introducing the Wisdom Pet Medicine website.srt -
3.5 KB
3. How to explore a webpage.mp4 -
11.3 MB
3. How to explore a webpage.srt -
4.9 KB
4. Understanding HTML code.mp4 -
7.1 MB
4. Understanding HTML code.srt -
3.4 KB
5. Understanding the requests package.mp4 -
5.4 MB
5. Understanding the requests package.srt -
5.3 KB
6. How to use the get() method.mp4 -
5.1 MB
6. How to use the get() method.srt -
4.5 KB
7. How to retrieve webpage information.mp4 -
6.9 MB
7. How to retrieve webpage information.srt -
6.7 KB
8. How to retrieve HTML code.mp4 -
5.9 MB
8. How to retrieve HTML code.srt -
2.5 KB
9. How to use BeautifulSoup.mp4 -
6.1 MB
9. How to use BeautifulSoup.srt -
3.9 KB
10. How to use find() and find_all() methods.mp4 -
6.8 MB
10. How to use find() and find_all() methods.srt -
6.5 KB
11. How to loop find_all() methods.mp4 -
7.1 MB
11. How to loop find_all() methods.srt -
6.2 KB
12. How to retrieve webpage links.mp4 -
4.5 MB
12. How to retrieve webpage links.srt -
3.9 KB
13. How to write HTML code to a text file.mp4 -
4.3 MB
13. How to write HTML code to a text file.srt -
3.8 KB
1. What are APIs.mp4 -
4.1 MB
1. What are APIs.srt -
4.1 KB
2. Introducing Alpha Vantage API.mp4 -
10.7 MB
2. Introducing Alpha Vantage API.srt -
7.4 KB
3. How to access Alpha Vantage data.mp4 -
8.3 MB
3. How to access Alpha Vantage data.srt -
6.0 KB
4. How to use an API key.mp4 -
10.0 MB
4. How to use an API key.srt -
8.3 KB
5. How to pull stock data with the alpha_vantage package Part 1.mp4 -
9.3 MB
5. How to pull stock data with the alpha_vantage package Part 1.srt -
7.3 KB
6. How to pull stock data with the alpha_vantage package Part 2.mp4 -
4.5 MB
6. How to pull stock data with the alpha_vantage package Part 2.srt -
3.3 KB
7. How to pull stock data with the requests package.mp4 -
14.6 MB
7. How to pull stock data with the requests package.srt -
10.0 KB
8. How to put stock data into a DataFrame.mp4 -
14.1 MB
8. How to put stock data into a DataFrame.srt -
9.1 KB
9. How to use Alpha Vantage functions Part 1.mp4 -
9.6 MB
9. How to use Alpha Vantage functions Part 1.srt -
6.6 KB
10. How to use Alpha Vantage functions Part 2.mp4 -
7.2 MB
10. How to use Alpha Vantage functions Part 2.srt -
5.3 KB
11. How to use Alpha Vantage functions Part 3.mp4 -
14.3 MB
11. How to use Alpha Vantage functions Part 3.srt -
10.3 KB
12. Challenge Analyze Microsoft stock.mp4 -
4.9 MB
12. Challenge Analyze Microsoft stock.srt -
4.7 KB
13. Solution Analyze Microsoft stock.mp4 -
5.3 MB
13. Solution Analyze Microsoft stock.srt -
4.4 KB
1. What is text analysis.mp4 -
3.2 MB
1. What is text analysis.srt -
3.9 KB
2. Introducing Project Gutenberg and Great Expectations.mp4 -
5.2 MB
2. Introducing Project Gutenberg and Great Expectations.srt -
3.6 KB
3. How to pull text data.mp4 -
8.0 MB
3. How to pull text data.srt -
5.5 KB
4. How to clean text data.mp4 -
15.8 MB
4. How to clean text data.srt -
10.0 KB
5. How to create a word cloud.mp4 -
7.4 MB
5. How to create a word cloud.srt -
6.3 KB
6. How to improve a word cloud.mp4 -
8.6 MB
6. How to improve a word cloud.srt -
5.4 KB
7. How to analyze word frequency.mp4 -
8.6 MB
7. How to analyze word frequency.srt -
7.0 KB
8. How to perform Vader sentiment analysis.mp4 -
16.0 MB
8. How to perform Vader sentiment analysis.srt -
11.8 KB
9. How to build a corpus and dictionary for topic modeling.mp4 -
10.4 MB
9. How to build a corpus and dictionary for topic modeling.srt -
7.5 KB
10. How to perform topic modeling.mp4 -
15.1 MB
10. How to perform topic modeling.srt -
10.9 KB
11. Challenge Analyze Sense and Sensibility.mp4 -
5.9 MB
11. Challenge Analyze Sense and Sensibility.srt -
5.0 KB
12. Solution Analyze Sense and Sensibility.mp4 -
11.3 MB
12. Solution Analyze Sense and Sensibility.srt -
8.4 KB
1. Next steps.mp4 -
2.5 MB
1. Next steps.srt -
1.1 KB
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