Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Python Lists Manipulation
Graph Chatbot
Related lectures (29)
Previous
Page 1 of 3
Next
General Introduction to Data Science
Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Python Lists: Manipulation and Comprehension
Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.
Python: Dictionaries and Tuples
Explores dictionaries, tuples, mutable objects, and variable-length arguments in Python.
Programming Basics: Python Fundamentals
Covers the basics of programming with Python, emphasizing practical exercises and self-learning resources.
Debugging and Computational Methods
Covers debugging techniques in Python and computational methods like frequency power calculation and bird sound detection.
Data Science Visualization with Pandas
Covers data manipulation and exploration using Python with a focus on visualization techniques.
Python Programming: Data Structures and Functions
Covers advanced Python programming concepts, including data structures and functions.
Data Science with Python: Numpy Basics
Introduces the basics of Numpy, a numerical computing library in Python, covering advantages, memory layout, operations, and linear algebra functions.
Python Programming: List Comprehensions and Higher Order Functions
Explores advanced Python programming concepts, focusing on list comprehensions and higher order functions.
Binary Sentiment Classifier Training
Covers the training of a binary sentiment classifier using an RNN.