Introduction to Programming with Python

Related lectures (29)

Page 3 of 3

Explores Python modules, program hierarchy, module importing, and namespaces, including variables and scopes within functions.

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Introduces Boolean and Vector Space models for information retrieval, covering syntax, similarity computation, term frequency, and query weights.

Introduces Python programming basics, covering data types, operators, variables, functions, and code tracing.

Covers file handling, string operations, and character encodings in Python.

Covers the basics of Python programming and setting up Anaconda and Jupyter Notebook.

Explores Python's if-else statements, demonstrating their syntax and usage through examples.

Covers the basics of writing functions in Python and working with function arguments.

Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.