But it does have the Python interpreter and package manager. Miniconda is a light version of Anaconda that does not include the common packages, therefore, you need to install all the different packages by yourself. The main differences between Anaconda and Miniconda are:Īnaconda is a complete distribution framework that includes the Python interpreter, package manager as well as the commonly used packages in scientific computing. For windows users, please skip the rest of this section and read Appendix A for all the processes.
MINICONDA INSTALL IPYTHON NOTEBOOK MAC OS X
Here we will use Mac OS X as an example to show you the install processes. Both Anaconda and Miniconda are aiming to provide easy ways to manage Python work environment in scientific computing and data sciences.
MINICONDA INSTALL IPYTHON NOTEBOOK DOWNLOAD
Depending on the operating systems (OS) you are using, i.e Windows, Mac OS X, or Linux, you need to download a specific installer for your machine. There are different ways to install Python and related packages, here we recommend to use Anaconda or Miniconda to install and manage your packages. In this section, we will introduce the processes to get it started.
Getting Started with Python on Windowsīefore we start to use Python, we need to set up our Python working environment on the computer. Introduction to Machine LearningĪppendix A. Ordinary Differential Equation - Boundary Value ProblemsĬhapter 25. Predictor-Corrector and Runge Kutta MethodsĬhapter 23. Ordinary Differential Equation - Initial Value Problems Numerical Differentiation Problem Statementįinite Difference Approximating DerivativesĪpproximating of Higher Order DerivativesĬhapter 22. Least Square Regression for Nonlinear Functions Least Squares Regression Derivation (Multivariable Calculus) Least Squares Regression Derivation (Linear Algebra) Least Squares Regression Problem Statement Solve Systems of Linear Equations in PythonĮigenvalues and Eigenvectors Problem Statement Linear Algebra and Systems of Linear Equations Errors, Good Programming Practices, and DebuggingĬhapter 14. Inheritance, Encapsulation and PolymorphismĬhapter 10. Variables and Basic Data StructuresĬhapter 7.
Python Programming And Numerical Methods: A Guide For Engineers And ScientistsĬhapter 2.
0 kommentar(er)
