[LinkedIn Learning] Advance Your Skills in Python - Complete 7 Courses

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[LinkedIn Learning] Advance Your Skills in Python - Complete 7 Courses

3. Python Data Structures and Algorithms

2 - The Stack Data Structure

2. Build a stack class in Python.mp4 - 43.1 MB

1. Understand the stack data structure.mp4 - 9.06 MB

3. Solution Reverse a string using a stack.mp4 - 5.25 MB

2. Build a stack class in Python.srt - 21.9 kB

1. Understand the stack data structure.srt - 4.15 kB

4 - Depth-First Search Algorithm

4. Code a depth-first search in Python.mp4 - 38.2 MB

2. Visualize depth-first search on a grid.mp4 - 11.1 MB

1. Understand the depth-first search algorithm.mp4 - 8.27 MB

3. Use the Grid Tracer app.mp4 - 7.53 MB

5. Challenge Trace the path of a depth-first search.mp4 - 2.3 MB

6. Solution Trace the path of a depth-first search.mp4 - 1.7 MB

4. Code a depth-first search in Python.srt - 20.4 kB

2. Visualize depth-first search on a grid.srt - 9.33 kB

1. Understand the depth-first search algorithm.srt - 6.02 kB

3. Use the Grid Tracer app.srt - 5.45 kB

5. Challenge Trace the path of a depth-first search.srt - 1.44 kB

6. Solution Trace the path of a depth-first search.srt - 989 B

5 - The Queue Data Structure

2. Build a queue class in Python.mp4 - 26.4 MB

1. Understand the queue data structure.mp4 - 11.8 MB

3. Solution Practice queue methods.mp4 - 6.51 MB

2. Build a queue class in Python.srt - 15.3 kB

1. Understand the queue data structure.srt - 4.63 kB

6 - The Breadth-First Search Algorithm

3. Code a breadth-first search in Python.mp4 - 26.1 MB

2. Visualize breadth-first search in a grid.mp4 - 9.52 MB

1. Understand the breadth-first search algorithm.mp4 - 7.12 MB

4. Challenge Trace the path of a breadth-first search.mp4 - 1.82 MB

5. Solution Trace the path of a breadth-first search.mp4 - 1.76 MB

3. Code a breadth-first search in Python.srt - 10.3 kB

2. Visualize breadth-first search in a grid.srt - 9.73 kB

1. Understand the breadth-first search algorithm.srt - 5.79 kB

5. Solution Trace the path of a breadth-first search.srt - 1.14 kB

4. Challenge Trace the path of a breadth-first search.srt - 908 B

8 - The A Search Algorithm

3. Code the A algorithm in Python.mp4 - 25.2 MB

2. Visualize the A algorithm.mp4 - 20.5 MB

1. Understand the A search algorithm.mp4 - 13.7 MB

5. Solution Trace the path of an A search.mp4 - 6.61 MB

4. Challenge Trace the path of an A search.mp4 - 2.49 MB

2. Visualize the A algorithm.srt - 20.1 kB

3. Code the A algorithm in Python.srt - 12.7 kB

1. Understand the A search algorithm.srt - 8.84 kB

5. Solution Trace the path of an A search.srt - 3.23 kB

4. Challenge Trace the path of an A search.srt - 1.6 kB

7 - The Priority Queue Data Structure

2. Use the heap module to implement a priority queue.mp4 - 22.3 MB

3. Solution Heapq methods practice.mp4 - 5.5 MB

1. Understand the priority queue data structure.mp4 - 4.72 MB

2. Use the heap module to implement a priority queue.srt - 12 kB

1. Understand the priority queue data structure.srt - 2.76 kB

1 - Pathfinding Algorithms in a Maze Game

1. Understand the example application.mp4 - 17.6 MB

2. Navigate the GUI.mp4 - 6.51 MB

1. Understand the example application.srt - 11.8 kB

2. Navigate the GUI.srt - 5.01 kB

9 - Conclusion

1. Pathfinding algorithms in the course maze GUI.mp4 - 15.3 MB

2. Parting comments and what comes next.mp4 - 4.7 MB

1. Pathfinding algorithms in the course maze GUI.srt - 6.78 kB

2. Parting comments and what comes next.srt - 3.39 kB

3 - The 2D List Data Structure

3. Read a maze from a text file.mp4 - 14.3 MB

2. Represent a maze as a 2D list.mp4 - 10.4 MB

5. Solution Read and display a maze from a text file.mp4 - 4.8 MB

1. Understand the 2D list data structure.mp4 - 4.72 MB

4. Challenge Read and display a maze from a text file.mp4 - 2.48 MB

3. Read a maze from a text file.srt - 8.71 kB

2. Represent a maze as a 2D list.srt - 8.44 kB

1. Understand the 2D list data structure.srt - 3.19 kB

5. Solution Read and display a maze from a text file.srt - 1.79 kB

4. Challenge Read and display a maze from a text file.srt - 1.02 kB

0 - Introduction

1. Python data structures and algorithms in action.mp4 - 4.93 MB

2. What you should know.mp4 - 1.11 MB

1. Python data structures and algorithms in action.srt - 2.43 kB

2. What you should know.srt - 1.24 kB

Ex_Files_Python_Data_Structures.zip - 204 kB

description.html - 1.16 kB

5. Python GUI Development with Tkinter

0 - Introduction

1. Create a GUI for your Python desktop application.mp4 - 25.6 MB

2. What you should know.mp4 - 2.97 MB

3. Using the exercise files.mp4 - 1.98 MB

2. What you should know.srt - 3.22 kB

1. Create a GUI for your Python desktop application.srt - 2.35 kB

3. Using the exercise files.srt - 1.72 kB

1. Hands-On Introduction Python onehack.us

3 - Let's Build Something!

1. Reading a CSV file.mp4 - 20.8 MB

3. Outputting JSON.mp4 - 15.5 MB

5. Solution Filtering output.mp4 - 7.95 MB

2. Making calculations.mp4 - 6.98 MB

4. Challenge Filtering output.mp4 - 5.06 MB

1. Reading a CSV file.srt - 7.32 kB

3. Outputting JSON.srt - 6.8 kB

2. Making calculations.srt - 4.31 kB

5. Solution Filtering output.srt - 2.94 kB

4. Challenge Filtering output.srt - 2.08 kB

0 - Introduction

3. Using GitHub Codespaces with this course.mp4 - 17.4 MB

1. Learn Python by doing.mp4 - 3.37 MB

2. What you should know.mp4 - 1.07 MB

3. Using GitHub Codespaces with this course.srt - 10.8 kB

1. Learn Python by doing.srt - 1.51 kB

2. What you should know.srt - 909 B

4 - Extending a Service

2. Extending a small web server.mp4 - 15.7 MB

3. Searching through data.mp4 - 13.8 MB

1. Loading a JSON dataset.mp4 - 11 MB

5. Solution Filtering results.mp4 - 3.68 MB

4. Challenge Filtering results.mp4 - 2.75 MB

2. Extending a small web server.srt - 8.02 kB

1. Loading a JSON dataset.srt - 5.75 kB

3. Searching through data.srt - 5.01 kB

5. Solution Filtering results.srt - 1.97 kB

4. Challenge Filtering results.srt - 1.5 kB

2 - Diving into a Python Project

4. Looping and iteration.mp4 - 10.7 MB

5. Logic ifelifelse.mp4 - 9.7 MB

3. Getting what you need from lists with slices.mp4 - 7.82 MB

1. Scope and indentation.mp4 - 7.34 MB

2. Fancy string work.mp4 - 6.87 MB

4. Looping and iteration.srt - 6.97 kB

5. Logic ifelifelse.srt - 6.04 kB

1. Scope and indentation.srt - 5.61 kB

3. Getting what you need from lists with slices.srt - 5.5 kB

2. Fancy string work.srt - 4.35 kB

1 - Running Python

1. Hello Python.mp4 - 9.79 MB

1. Hello Python.srt - 5.93 kB

5 - Conclusion

1. Extend your new Python skills.mp4 - 2.81 MB

1. Extend your new Python skills.srt - 1.71 kB

description.html - 1.46 kB

Exercises_Link.txt - 90 B

6. Create an Open-Source Project in Python

3 - Tidy Up Your Code

1. What is PEP 8.mp4 - 16.9 MB

5. Linting your code with Flake8.mp4 - 12.4 MB

2. What is Black.mp4 - 7.97 MB

6. Using pre-commit to clean up automatically.mp4 - 6.14 MB

4. What is a linter.mp4 - 5.29 MB

7. Checkpoint What you have so far.mp4 - 4.35 MB

3. Formatting your code with Black.mp4 - 4.24 MB

1. What is PEP 8.srt - 10.2 kB

5. Linting your code with Flake8.srt - 5.81 kB

2. What is Black.srt - 5.23 kB

6. Using pre-commit to clean up automatically.srt - 4.59 kB

3. Formatting your code with Black.srt - 3.1 kB

4. What is a linter.srt - 2.83 kB

7. Checkpoint What you have so far.srt - 2.43 kB

5 - Setting up a Workflow on GitHub Action

2. Setting up a workflow for testing.mp4 - 12.9 MB

1. What is GitHub Action.mp4 - 5.24 MB

2. Setting up a workflow for testing.srt - 6.35 kB

1. What is GitHub Action.srt - 3.13 kB

2 - Power Up Your Tests

4. Testing with multiple parameters.mp4 - 10.5 MB

6. What is a fixture.mp4 - 10.3 MB

3. Writing simple tests.mp4 - 8.83 MB

8. Skipping a test, with good reasons.mp4 - 8.82 MB

2. Introduction to your project.mp4 - 7.67 MB

5. Test if an exception is raised.mp4 - 7.22 MB

1. What is pytest.mp4 - 6.89 MB

7. Using fixture.mp4 - 6.68 MB

9. Checkpoint What you have so far.mp4 - 6.21 MB

4. Testing with multiple parameters.srt - 6.73 kB

3. Writing simple tests.srt - 6.29 kB

6. What is a fixture.srt - 5.38 kB

8. Skipping a test, with good reasons.srt - 5.31 kB

5. Test if an exception is raised.srt - 4.17 kB

2. Introduction to your project.srt - 3.97 kB

7. Using fixture.srt - 3.42 kB

9. Checkpoint What you have so far.srt - 3.24 kB

1. What is pytest.srt - 3.21 kB

1 - Starting a Project with Poetry

3. Starting a project.mp4 - 7.39 MB

6. Poetry lock and install.mp4 - 6.87 MB

1. What is Poetry.mp4 - 6.77 MB

5. Adding dependencies.mp4 - 5.28 MB

4. What is pyproject.toml.mp4 - 4.86 MB

2. Install Poetry.mp4 - 4.33 MB

7. Checkpoint What you have so far.mp4 - 3.26 MB

3. Starting a project.srt - 5.61 kB

1. What is Poetry.srt - 5.14 kB

6. Poetry lock and install.srt - 4.56 kB

4. What is pyproject.toml.srt - 3.99 kB

2. Install Poetry.srt - 3.29 kB

5. Adding dependencies.srt - 3.13 kB

7. Checkpoint What you have so far.srt - 2.03 kB

4 - Standardize Testing Using tox

3. tox advance usage.mp4 - 5.41 MB

2. tox basic usage.mp4 - 5.34 MB

1. What is tox.mp4 - 4.44 MB

4. Checkpoint What you have so far.mp4 - 2.85 MB

2. tox basic usage.srt - 3.56 kB

3. tox advance usage.srt - 2.87 kB

1. What is tox.srt - 2.78 kB

4. Checkpoint What you have so far.srt - 1.68 kB

0 - Introduction

1. Create an open-source project in Python.mp4 - 4.51 MB

2. What you should know.mp4 - 1.35 MB

1. Create an open-source project in Python.srt - 1.47 kB

2. What you should know.srt - 936 B

7. Build Three Real-World Python Applications

3 - Text Analysis on Great Expectations Novel

8. How to perform Vader sentiment analysis.mp4 - 16.8 MB

4. How to clean text data.mp4 - 16.5 MB

10. How to perform topic modeling.mp4 - 15.8 MB

12. Solution Analyze Sense and Sensibility.mp4 - 11.9 MB

9. How to build a corpus and dictionary for topic modeling.mp4 - 10.9 MB

7. How to analyze word frequency.mp4 - 9.02 MB

6. How to improve a word cloud.mp4 - 8.98 MB

3. How to pull text data.mp4 - 8.4 MB

5. How to create a word cloud.mp4 - 7.81 MB

11. Challenge Analyze Sense and Sensibility.mp4 - 6.15 MB

2. Introducing Project Gutenberg and Great Expectations.mp4 - 5.47 MB

1. What is text analysis.mp4 - 3.38 MB

8. How to perform Vader sentiment analysis.srt - 12.1 kB

10. How to perform topic modeling.srt - 11.2 kB

4. How to clean text data.srt - 10.2 kB

12. Solution Analyze Sense and Sensibility.srt - 8.62 kB

9. How to build a corpus and dictionary for topic modeling.srt - 7.72 kB

7. How to analyze word frequency.srt - 7.18 kB

5. How to create a word cloud.srt - 6.43 kB

3. How to pull text data.srt - 5.68 kB

6. How to improve a word cloud.srt - 5.5 kB

11. Challenge Analyze Sense and Sensibility.srt - 5.09 kB

1. What is text analysis.srt - 3.95 kB

2. Introducing Project Gutenberg and Great Expectations.srt - 3.7 kB

2 - Exploring Alpha Vantage API

7. How to pull stock data with the requests package.mp4 - 15.3 MB

11. How to use Alpha Vantage functions Part 3.mp4 - 15 MB

8. How to put stock data into a DataFrame.mp4 - 14.8 MB

2. Introducing Alpha Vantage API.mp4 - 11.2 MB

4. How to use an API key.mp4 - 10.4 MB

9. How to use Alpha Vantage functions Part 1.mp4 - 10.1 MB

5. How to pull stock data with the alpha_vantage package Part 1.mp4 - 9.79 MB

3. How to access Alpha Vantage data.mp4 - 8.66 MB

10. How to use Alpha Vantage functions Part 2.mp4 - 7.51 MB

13. Solution Analyze Microsoft stock.mp4 - 5.51 MB

12. Challenge Analyze Microsoft stock.mp4 - 5.1 MB

6. How to pull stock data with the alpha_vantage package Part 2.mp4 - 4.74 MB

1. What are APIs.mp4 - 4.27 MB

11. How to use Alpha Vantage functions Part 3.srt - 10.6 kB

7. How to pull stock data with the requests package.srt - 10.3 kB

8. How to put stock data into a DataFrame.srt - 9.32 kB

4. How to use an API key.srt - 8.47 kB

2. Introducing Alpha Vantage API.srt - 7.53 kB

5. How to pull stock data with the alpha_vantage package Part 1.srt - 7.48 kB

9. How to use Alpha Vantage functions Part 1.srt - 6.78 kB

3. How to access Alpha Vantage data.srt - 6.2 kB

10. How to use Alpha Vantage functions Part 2.srt - 5.44 kB

12. Challenge Analyze Microsoft stock.srt - 4.78 kB

13. Solution Analyze Microsoft stock.srt - 4.49 kB

1. What are APIs.srt - 4.18 kB

6. How to pull stock data with the alpha_vantage package Part 2.srt - 3.36 kB

0 - Introduction

3. GitHub Codespaces.mp4 - 14.2 MB

1. Real-world Python applications.mp4 - 3.57 MB

2. What you should know.mp4 - 934 kB

3. GitHub Codespaces.srt - 10.8 kB

2. What you should know.srt - 1.27 kB

1. Real-world Python applications.srt - 1.06 kB

1 - Scraping the Wisdom Pet Medicine Website

3. How to explore a webpage.mp4 - 11.8 MB

11. How to loop find_all() methods.mp4 - 7.44 MB

4. Understanding HTML code.mp4 - 7.41 MB

7. How to retrieve webpage information.mp4 - 7.22 MB

10. How to use find() and find_all() methods.mp4 - 7.17 MB

2. Introducing the Wisdom Pet Medicine website.mp4 - 6.85 MB

9. How to use BeautifulSoup.mp4 - 6.44 MB

8. How to retrieve HTML code.mp4 - 6.18 MB

5. Understanding the requests package.mp4 - 5.65 MB

1. What is web scraping.mp4 - 5.48 MB

6. How to use the get() method.mp4 - 5.4 MB

12. How to retrieve webpage links.mp4 - 4.71 MB

13. How to write HTML code to a text file.mp4 - 4.55 MB

7. How to retrieve webpage information.srt - 6.84 kB

10. How to use find() and find_all() methods.srt - 6.62 kB

11. How to loop find_all() methods.srt - 6.39 kB

5. Understanding the requests package.srt - 5.46 kB

1. What is web scraping.srt - 5.28 kB

3. How to explore a webpage.srt - 5.01 kB

6. How to use the get() method.srt - 4.59 kB

12. How to retrieve webpage links.srt - 3.98 kB

9. How to use BeautifulSoup.srt - 3.97 kB

13. How to write HTML code to a text file.srt - 3.89 kB

2. Introducing the Wisdom Pet Medicine website.srt - 3.63 kB

4. Understanding HTML code.srt - 3.53 kB

8. How to retrieve HTML code.srt - 2.61 kB

4 - Conclusion

1. Next steps.mp4 - 2.64 MB

1. Next steps.srt - 1.16 kB

description.html - 1.14 kB

Exercises_Link.txt - 117 B

4. Python Automation and Testing

2 - Parsing the HTML DOM Structure

9. Solution.mp4 - 16.5 MB

7. Solution.mp4 - 16.2 MB

4. Locating elements by XPath.mp4 - 11.6 MB

11. Solution.mp4 - 9.45 MB

2. Locating elements by ID.mp4 - 9.11 MB

5. Locating elements by class.mp4 - 6.24 MB

3. Locating elements by name.mp4 - 4.21 MB

8. Challenge.mp4 - 3.54 MB

6. Challenge.mp4 - 3.51 MB

1. What is the HTML DOM structure.mp4 - 2.64 MB

10. Challenge.mp4 - 2.39 MB

9. Solution.srt - 8.54 kB

4. Locating elements by XPath.srt - 8.12 kB

7. Solution.srt - 7.56 kB

2. Locating elements by ID.srt - 6.87 kB

11. Solution.srt - 6.5 kB

5. Locating elements by class.srt - 4.21 kB

3. Locating elements by name.srt - 3.19 kB

1. What is the HTML DOM structure.srt - 2.29 kB

8. Challenge.srt - 2.11 kB

6. Challenge.srt - 1.98 kB

10. Challenge.srt - 1.91 kB

3 - Navigating through Pages

5. Solution.mp4 - 15.4 MB

2. Filling forms.mp4 - 12.5 MB

3. Drag and drop elements.mp4 - 7.61 MB

1. Page interaction.mp4 - 6.11 MB

4. Challenge.mp4 - 3.61 MB

2. Filling forms.srt - 8.86 kB

5. Solution.srt - 6.8 kB

3. Drag and drop elements.srt - 5.55 kB

1. Page interaction.srt - 4.68 kB

4. Challenge.srt - 1.72 kB

1 - What Is Automation Testing and Python-Selenium Framework

5. Cross-browser support.mp4 - 11.7 MB

2. Python-Selenium bindings.mp4 - 9.82 MB

4. Cross-browser support.mp4 - 8.36 MB

1. What is automated testing.mp4 - 6.38 MB

3. A simple code example.mp4 - 3.47 MB

2. Python-Selenium bindings.srt - 6.15 kB

5. Cross-browser support.srt - 5.86 kB

1. What is automated testing.srt - 5.77 kB

4. Cross-browser support.srt - 5.66 kB

3. A simple code example.srt - 2.31 kB

4 - Waits

2. Explicit waits.mp4 - 8.23 MB

3. Implicit waits.mp4 - 5.27 MB

1. What are waits and why do we need them.mp4 - 4.1 MB

2. Explicit waits.srt - 6.49 kB

3. Implicit waits.srt - 4.62 kB

1. What are waits and why do we need them.srt - 2.78 kB

0 - Introduction

1. Welcome.mp4 - 5.08 MB

3. Using the exercise files.mp4 - 3.17 MB

2. What you should know.mp4 - 2.46 MB

3. Using the exercise files.srt - 2.5 kB

1. Welcome.srt - 1.6 kB

2. What you should know.srt - 1.59 kB

5 - Conclusion

1. Next steps.mp4 - 2.77 MB

1. Next steps.srt - 1.32 kB

Ex_Files_Python_Automation_Testing_Upd.zip - 17.2 kB

description.html - 864 B

2. Python Design Patterns

1 - Understanding Design Patterns

1. What is a design pattern.mp4 - 10.5 MB

2. Types of design patterns.mp4 - 4.47 MB

2. Types of design patterns.srt - 3.43 kB

1. What is a design pattern.srt - 3.38 kB

0 - Introduction

1. Explore design patterns.mp4 - 5.18 MB

2. What you should know.mp4 - 1.44 MB

2. What you should know.srt - 1.88 kB

1. Explore design patterns.srt - 1.66 kB

0. Join Our Discord for More Awesome Stuff!.txt - 156 B

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InfoHash: 9C234E6061662884FEBC692077B0925BD3E809B0
Last Updated: May 18, 2024
File Count: 334
File Category: 9
Tags: preparation, interview, testing, design patterns, developer, programming, python, Other, Tutorials

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[LinkedIn Learning] Advance Your Skills in Python - Complete 7 Courses

Source: 1337x

Uploaded By: SunRiseZone

Course Link: https://www.linkedin.com/learning/paths/advance-your-skills-in-python-8969631

Advance Your Skills in Python
Updated
Now that you've learned the basics of Python programming, it's time to dive into the next steps to prepare for a career as a Python developer. This learning path takes you through the practical need of programmers, such as learning about design patterns, testing, and even interview preparation.

Learn industry standard practices.

Create practical applications through hands-on practice.

Apply your knowledge to land a job as a Python programmer.

7 ITEMS - 16h 1m

Course: Hands-On Introduction: Python
1h 2m
Course By: Ronnie Sheer

Course: Python: Design Patterns
2h 12m
Course By: Jungwoo Ryoo

Course: Python Data Structures and Algorithms
2h 19m
Course By: Robin Andrews

Course: Python Automation and Testing
1h 38m
Python Automation and Testing
Course By: Bhoomika Agarwal

Course: Python GUI Development with Tkinter
4h 56m
Course By: Barron Stone

Course: Create an Open-Source Project in Python
1h 24m
Course By: Cheuk Ting Ho

Course: Build Three Real-World Python Applications
2h 27m
Course By: Megan Silvey

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