Ultimate NumPy
Unlock the full potential of Python's most essential library for numerical computing, NumPy. This comprehensive course is designed to take you from a beginner's understanding to an advanced level of proficiency in NumPy. Whether you're a data scientist, engineer, researcher, or developer, mastering NumPy is essential for efficient data manipulation, scientific computing, and machine learning.Course
Gain insight into a topic and learn the fundamentals4.7
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- Gain a solid foundation in NumPy Basics, starting with array creation and advancing to master indexing and slicing for data manipulation.
- Understand commonly used NumPy functions to perform complex numerical computations with ease.
- Explore mathematical operations within NumPy, equipping you with the skills to apply statistical operations and basic linear algebra.
- Acquire expertise in handling missing values, reshaping arrays, and broadcasting operations fundamental for machine learning and scientific computing.
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There are 6 modules in this course
Unlock the full potential of Python's most essential library for numerical computing, NumPy. This comprehensive course is designed to take you from a beginner's understanding to an advanced level of proficiency in NumPy. Whether you're a data scientist, engineer, researcher, or developer, mastering NumPy is essential for efficient data manipulation, scientific computing, and machine learning.- Basic IndexingPreview
- Multidimensional IndexingPreview
- SlicingPreview
- Slicing in 2D ArraysPreview
- Integer Array IndexingPreview
- Integer Array Indexing in 2D ArraysPreview
- Boolean IndexingPreview
- More about ComparisonsPreview
- Boolean Indexing in 2D ArraysPreview
- Assigning Values to Indexed ElementsPreview
- Assigning Values to Indexed SubarraysPreview
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Why people choose Codefinity for their career
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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Showing 3 of 33 reviews
Susanne Silver
5
Reviewed on Dec 10, 2024
I am a real beginner.... I love codefinity as it is step by step and it is not demotivating because you get guidelines. I tried 100 days of Python and for someone who doesn't have the IT brain, impossible after 14 days. I got so stuck and gave up. Codefinity is amazing!
5
Reviewed on Dec 3, 2024
Clear, simple explanations!
Ben Soto
5
Reviewed on Dec 2, 2024
I like how I can just pop right in and continue lessons, with excellent guidance, even after long periods of inactivity.
Recommended if you're interested in learning Python
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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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