- YOUTUBE HOW TO INSTALL PIP FOR PYTHON 2.7 ARCHIVE
- YOUTUBE HOW TO INSTALL PIP FOR PYTHON 2.7 CODE
- YOUTUBE HOW TO INSTALL PIP FOR PYTHON 2.7 FREE
If you have Python installed but are using an enhanced shell like IPython or the Jupyter notebook, you can preface the command with a ! to see the version of Python you are working with: !python -version You can use the Hitchhiker’s Guide to Python guide to walk you through the steps. If you do not have Python, please go ahead and install the latest 3.x version. This determines that you have Python version 3.6.3 installed in your system. When you do this correctly and you do have Python installed, you will get an output like this one: Python 3.6.3.
YOUTUBE HOW TO INSTALL PIP FOR PYTHON 2.7 CODE
This is because the intended code was to be run in your operating system's terminal (also called shell or console). NameError Traceback (most recent call last) If you get an error as below: > python -version You can check this and the version of Python installed by typing: python -version Ensure you can run Python from the command line. Well, the first step would be to actually make sure you have Python installed in your system.
YOUTUBE HOW TO INSTALL PIP FOR PYTHON 2.7 FREE
And finally, you will see Conda, which is a package and environment management system that is included in Anaconda - a free and open source distribution of the Python and R programming languages for data science and machine learning related applications.īe sure to check out our Intro to Python for Data Science course. You will also be introduced to two concepts: Python eggs and Wheels. You will also be introduced to some old and now abandoned tools such as Distribute and Distutils2. Next you will see Setuptools, you will also learn about Easy Install - a package manager bundled with setuptools. Then you will discover the various tools that are available for package management, beginning with Distutils - where you will see how to register and upload your package. Then you will see what Python Package Index is.
You will begin at ground zero and see Python installation.
In this tutorial, you will see less executable code but more commands and concept discussion of the different flavors of technical Python jargon that is used in the Python community related to package management. So now that the meaning of 'package' is determined in the context of this article, let's begin. However the context is important, so as to not confuse it with 'import Package' - which is also commonly called just a 'package' or with another kind of distribution, like a Linux distribution or a computer language distribution - which are often referred to with the single term 'distribution'. This article aims to help you understand the various available tools that make your life easier for using and maintaining the many Python packages that you shall come across as a data scientist and a programmer in general.Ī distribution package is more commonly referred to as 'package' or 'distribution'.
YOUTUBE HOW TO INSTALL PIP FOR PYTHON 2.7 ARCHIVE
The archive file is what you as an end-user download from the internet and install - thus, distribution packages are of major importance to the community to share and distribute their projects. This article is about 'Distribution Package', which is a versioned archive file that contains Python modules, packages and other resource files that are used to distribute a particular Release (think of it as versioned projects). However, this article is NOT about such packages. It is the kind of Python package that you import in your Python code. Package is a Python module which can contain other modules or recursively, other packages.
Before we begin, let's do a quick glossary check and determine what a 'Python package' REALLY is.
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