How to Resolve numpy.linalg.LinAlgError: Singular matrix in NumPy (Determinant Check, Regularization, and Pseudo‑Inverse)

Encountering a numpy.linalg.LinAlgError: Singular matrix is common when trying to invert or solve systems with ill‑conditioned matrices whose determinant is effectively zero. This error indicates that the matrix you are trying to invert or perform certain operations on is singular, meaning it doesn’t have an inverse. Here’s how to approach resolving this issue in NumPy.

How to Use NumPy gradient() Function (1D and 2D Array Examples with Finite Differences)

NumPy’s numpy.gradient() computes numerical gradients using central finite differences for 1D arrays or per-axis gradients for multi-dimensional arrays. This function calculates the gradient of an N-dimensional array and returns a list of N arrays, where each array represents the gradient along a corresponding dimension. In the context of numerical arrays, the gradient represents the rate Continue reading

How to Change Directories in Paramiko (Using SFTP chdir() or Chained Shell Commands)

Change directories in Paramiko using SFTP’s sftp.chdir(‘/path’) for file operations or chain shell commands like exec_command(‘cd /tmp && ls’) for interactive sessions. You can do this by opening a new channel using paramiko and then executing the shell command using the exec_command method of the channel object. Here’s an example of how you can change Continue reading