Advanced Python Techniques for Scientific Computing

The Ultimate Scientific and Numeric Computing in Python Bootcamp

Master the two most popular Data Science and Machine Learning frameworks used for Scientific and Numeric Computing in Python programming language

Created by : Rated :4.1 676 views

Last Updated: 2024-12-26 06:12:00 English Course Type: Self Learning

Program in Python utilizing a blend of beginner to advanced syntax pertaining to the NumPy and SciPy frameworks
You will obtain a solid foundation of the most popular frameworks that are used in the field of Data Science and Machine Learning for Scientific and Numeric Computing
You will learn about the logic behind each operation in the Numpy and SciPy framework
Gain hands-on experience into how NumPy and SciPy are used by Data Scientists and Machine Learning Engineers in the modern world

Hi, Everyone.

This is my first course on LearnFly. This is a complete course on two of the most popular Data Science and Machine Learning frameworks used for Scientific and Numeric Computing in Python, NumPy and SciPy. This course will teach you everything you need to know about the NumPy and SciPy frameworks and will help you to ace a Data Science interview and land a Python job.

Within this course, you will learn NumPy and SciPy from beginner to advanced. This course assumes that you have some basic level of experience in programming with Python.

This course features a blend of theoretical and practical explanations. Every bit of it is important. I hope you find it useful to aid you in your journey of learning Data Science/Machine Learning frameworks.

Thank you for your time.

Shivek.

A basic level of experience in the Python programming language is required. It is important that you have a basic understanding of data structures and the operations that can be performed thereon- Specifically focusing on the list and array type
A computer and internet connection is required
Patience and willingness to grasp the concepts on an intellectual level

Junior Data Scientists who would like to explore high powered computational packages/libraries in Python but are unsure where to begin
Junior Machine Learning Engineers who would like to kickstart their journey with the SciPy and NumPy dependencies in Python
If you are a Pythonista seeking to expand your knowledge base in the programming language this complete course is a good place to start
This course is designed for Python programmers across all levels. If you are a Junior, Intermediate, or Expert Python programmer, this course is a good add to your resume skill set

Section 1 : The NumPy Framework 9 Lectures 00:00:11
Lecture 1 :
NumPy- Part 2 Preview
Lecture 2 :
NumPy- Part 3
Lecture 3 :
NumPy- Part 4
Lecture 4 :
NumPy- Part 5
Lecture 5 :
NumPy- Part 6
Lecture 6 :
NumPy- Part 7
Lecture 7 :
NumPy- Part 8
Lecture 8 :
NumPy- Part 9
Lecture 9 :
NumPy- Part 1
Section 2 : The SciPy Framework 5 Lectures 00:00:07
Lecture 1 :
SciPy- Part 1
Lecture 2 :
SciPy- Part 2
Lecture 3 :
SciPy- Part 3
Lecture 4 :
SciPy- Part 4
Lecture 5 :
SciPy- Part 5

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Do i need a pc to access the course or can i do it on mobile & tablet as well?
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Shivek Maharaj,

676 Course Views

1 Courses

Greetings. I am a student (20) at Eduvos University studying a BSc in Software Engineering. I am qualified in Machine Learning and Data Science having studied previously in Eduvos. I have knowledge in Machine Learning, Data Science, and more, with my dominant programming language being Python. I find interest in working with and studying topics that deal with Intelligent Behaviour in Machines. Thank you for your time. Shivek.