Mastering Pythonβs containers is key to tackling complex data structures efficiently. This course will teach you how to utilize Python's built-in and specialized container types for optimal data management and manipulation.
π Table of contents:
- Course Overview (1min)
- Utilizing Built-in Containers (55mins)
- Improving Efficiency with Advanced Dictionaries (20mins)
- Using Specialized Collection Classes (30mins)
- Customizing Built-in Data Types (8mins)
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π Learn all about ethical hacking and penetration testing.
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π
Python Data Structures: Trees
π Author: Ryan Mitchell
π° Level: Intermediate
β° Duration: 1h 16m
π Topics: Data Structures, Python
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π Learn about binary search trees in Python and how to create, navigate, modify, and use them in a real-world context.
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π
Building Your Cybersecurity Talent Pipeline
π Author: Tia Hopkins
π° Level: Beginner
β° Duration: 48m
π Topics: Talent Management, Tech Career Skills, Cybersecurity
π€ Join Ethical Hacking and Cybersecurity for more courses
π Learn how to start solving for the cybersecurity skills gap by preparing the next generation of cybersecurity leaders.
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π
Machine Learning with Scikit-Learn
π Author: Michael Galarnyk
π° Level: Advanced
β° Duration: 43m
π Topics: Scikit-Learn, Machine Learning
π€ Join Machine Learning and Artificial intelligence for more courses
π Learn to use scikit-learn, the popular open-source Python library, to build efficient machine learning models.
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π
Python: Working with Files
π Author: Kathryn Hodge
π° Level: Intermediate
β° Duration: 1h 41m
π Topics: File Handling, Python
π Learn how you can use Python to automate operating system tasks, aggregate data across multiple sources, save results to files, and level up your Python applications.
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Python - Working with Files.zip
226 MB
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π SASS - Learn SASS, the most popular CSS Extension. Build modern and beautiful projects using SASS and lots of CSS
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π
Python Functions for Data Science
π Author: Lavanya Vijayan
π° Level: Intermediate
β° Duration: 1h 30m
π Topics: Data Analysis, Python
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π Save time, and make your code more readable and reusable, by learning the most powerful Python functions for data science.
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