"Enrolling in the Python course was a transformative experience. From mastering the fundamentals to exploring advanced concepts, every lesson was engaging and insightful. The instructors' expertise and clear explanations made learning enjoyable. The hands-on projects provided invaluable practical skills, en...
Practical Machine Learning from Johns Hopkins University★★★☆☆(27) Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues from Georgia Institute of Technology★★★(25) Algorithmic Toolbox from University of California, San Diego ★★★☆(23) CS50’s Introduction to Artifi...
Proof of Work (PoW), Proof of Stake (PoS), and practical Byzantine Fault Tolerance (pBFT) are three prevalent blockchain consensus algorithms. Creating a Blockchain Class To create a basic blockchain class in Python, you can follow these steps. Define a Block class that represents a block ...
Unit 5: Introduction to Python 08 Total 40 Part C: Practical Work Unit 5: Introduction to Python Practical File (minimum 15 programs) 15 Practical Examination Simple programs using input and output function Variables, Arithmetic Operators, Expressions, Data Types Flow of control and conditions...
Beginning Llamafile for Local Large Language Models (LLMs) from Duke University Computational Arithmetic – Geometry for Algebraic Curves from Indian Institute of Technology Kanpur Practical Cyber Security for Cyber Security Practitioners from Indian Institute of Technology Kanpur Machine Learning and Human ...
A practical solution, and one used for most vehicle calculations, is to choose a decimation length that is fine enough that the measurements of station distance converge to the desired accuracy, for example 1 meter, 10 cm, or 1 cm depending on the required accuracy. An easy method to ...
These methods are similar to what we propose here, but they have a number of practical drawbacks. fast-DM does not accommodate more complex models involving, for example, time varying thresholds. PyDDM is more general; however, it is a maximum likelihood based approach and their numerical imple...
The best F-measure has a value of 0.912 (recall is 0.908, precision is 0.943, and specificity is 0.933) with DC using the following nine explanatory variables: (1) Q5 about the ease of understanding class materials, (2) Consistency of Interest, (3) Mastery Orientation, (4) Practical ...
used as optional text for CS intro course at UC Berkeley see my book report on the Python version below. This book covers the same topics. Python Data Structures and Algorithms in Python by Goodrich, Tamassia, Goldwasser I loved this book. It covered everything and more. Pythonic code my...
then its good candidate of being a concrete class rather than abstract. There is only one case where I think abstract class without abstract method can be used is when you need a marker class instead of marker interface, but to be frank, I have yet to find a practical use case. Though...