Optimization Techniques in Python
Learn how to write faster and more memory-efficient code by mastering performance measurement, selecting the right data structures, and leveraging built-in tools. We'll focus on practical optimization techniques for handling large datasets, efficient string operations, and partial sorting, ensuring your code is both robust and scalable.Course
Gain insight into a topic and learn the fundamentalsnew
- Analyze and measure the performance of Python code to identify bottlenecks.
- Understand the fundamentals of timing and benchmarking to evaluate function efficiency.
- Explore the optimal use of Python data structures like lists, sets, tuples, and NumPy arrays for improved performance.
- Discover built-in tools such as map() and list comprehensions to write faster and more efficient code.
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There are 6 modules in this course
Learn how to write faster and more memory-efficient code by mastering performance measurement, selecting the right data structures, and leveraging built-in tools. We'll focus on practical optimization techniques for handling large datasets, efficient string operations, and partial sorting, ensuring your code is both robust and scalable.Chosen by students of top schools
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Kwizera Mugisha
The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.
Sherry Barnes-Fox
My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.
Bill Wagner
I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.
Stephanie Chan
As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.
Daniel Chinea
I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.
Steve Bruening
The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.
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Recommended if you're interested in learning Python
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Embrace the fascination of Tech Skills! Our AI-assistant provides real-time feedback, personalized hints, and error explanations, empowering you to learn with confidence.
With Workspaces, you can create and share projects directly on our platform. We've prepared templates for your convenience
Take control of your career development and commence your path into mastering the latest technologies
Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers
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