Packaging in Python has had a troubled and confusing history. Thankfully, the situation has settled down and a tool called pip has emerged as the clear front-runner among package installation tools for general purpose Python use. For more specialist uses such as numerical or scientific computing which rely on the Numpy or Scipy packages you should consider Anaconda as a strong alternative to pip.