Python is a versatile and powerful programming language with a wide variety of libraries and third-party packages that can be applied to deep learning, fuzzy text processing, bioinformatics, web development, web scraping, and more.
Python is a versatile and powerful programming language with a wide variety of libraries and third-party packages that can be applied to deep learning, fuzzy text processing, bioinformatics, web development, web scraping, and more.
Building off of Introduction to Programming (Python), this course will cover many unique features that make Python such a popular language, and will go beyond just "the basics." Upon completion of the course, students will gain experience in the full development life cycle using the Python programming language.
Course Highlights:
Best practices for coding style and documentation
Comprehensions and iteration
Files, context managers and fake files
Python's wide variety of libraries and third-party packages
Object-oriented programming, testing and test-driven development concepts
The Pythonic method to handle common computer science abstractions
At UC San Diego Division of Extended Studies, we believe great social and economic prosperity comes from integrating the collective knowledge of the university, community leaders and professionals. Division of Extended Studies strives to combine local impact with national reputation and global reach.
This course is intended for students majoring in computer and information sciences or anyone interested in the Java programming language.
This is a class for computer-literate people with no programming background who wish to learn basic Python programming.
This course will teach you the essential elements of Python to build practically useful applications and conduct data analysis for finance.
The Certificate of Completion (CCL) in Python Applications is designed to provide students with a set of skills necessary to successfully perform Python related programming projects.
Master the skills to use machine learning in your day-to-day work with this Python course. Create algorithms to predict classes, continuous values, and more.
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