Shell

Gain the essential skills you need to code with confidence using this powerful open-source, cross-platform tool.

In this track, you’ll learn how to install and manage over 7,500 powerful packages for data science and machine learning, sourced directly from Conda experts. Through hands-on exercises, you’ll also discover how to package code, data, and Conda environments so you can create your own packages and publish and share them on Anaconda Cloud using Anaconda Project and Conda Build. 

Get started with Conda. Gain the essential skills you need to automate tasks, install Conda packages, and share your code on Anaconda Cloud.

Anaconda Skills 

This chapter is a brief introduction to the Unix shell. You'll learn why it is still in use after almost 50 years, how it compares to the graphical tools you may be more familiar with, how to move around in the shell, and how to create, modify, and delete files and folders.

Manipulating files and directories

The commands you saw in the previous chapter allowed you to move things around in the filesystem. This chapter will show you how to work with the data in those files. The tools we’ll use are fairly simple, but are solid building blocks.

Manipulating data

The real power of the Unix shell lies not in the individual commands, but in how easily they can be combined to do new things. This chapter will show you how to use this power to select the data you want, and introduce commands for sorting values and removing duplicates.

Combining tools

Most shell commands will process many files at once. This chapter shows you how to make your own pipelines do that. Along the way, you will see how the shell uses variables to store information.

Batch processing

History lets you repeat things with just a few keystrokes, and pipes let you combine existing commands to create new ones. In this chapter, you will see how to go one step further and create new commands of your own.

Creating new tools

The Unix command line has survived and thrived for almost 50 years because it lets people do complex things with just a few keystrokes. Sometimes called "the universal glue of programming," it helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds that may be halfway around the world. This course will introduce its key elements and show you how to use them efficiently.

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds. 

Introduction to Shell

Programming

This chapter shows you how to install, update and remove packages using conda. 

Installing Packages

In this chapter you will learn how to search and install packages from various channels with Conda.

Utilizing Channels

This chapter shows you how work with Conda environments.

Working with Environments

This chapter shows you how to easily manage projects using environments. 

Case Study on Using Environments

Software is constantly evolving, so data scientists need a way to update the software they are using without breaking things that already work.  Conda is an open source, cross-platform tool for managing packages and working environments for many different programming languages.  This course explains how to use its core features to manage your software so that you and your colleagues can reproduce your working environments reliably with minimum effort.

Learn how to easily manage your software using conda. 

Conda Essentials

This chapter explains what version control is and why you should use it, and introduces the most common steps in a common Git workflow.

Basic workflow

This chapter digs a little deeper into how Git stores information and how you can explore a repository's history.

Repositories

Since Git saves all the changes you've made to your files, you can use it to undo those changes. This chapter shows you several ways to do that.

Undo

Branching is one of Git's most powerful features, since it allows you to work on several things at once. This chapter shows you how to create and manage branches.

Working with branches

This chapter showcases how Git allows you to share changes between repositories to collaborate at scale.

Collaborating

Version control is one of the power tools of programming. It allows you to keep track of what you did when, undo any changes you decide you don't want, and collaborate at scale with other people. This course will introduce you to Git, a modern version control tool that is very popular with data scientists and software developers, and show you how to use it to get more done in less time and with less pain.

This course is an introduction to version control with Git for data scientists. 

Introduction to Git

Anaconda Projects allow you to package code, data, and Conda environments for others to use easily. Starting with with simple data science applications you'll create Anaconda Project archives that enable reproducible data science.

Anaconda Project

In this chapter you'll learn how to transform your Python scipts into modules and packages. You'll learn how to use setuptools to specify important metadata like version numbers and licenses.

Python Packages

Now that you have prepared your Python package using setuptools in this chapter you'll learn how to write a Conda recipe. Conda recipes describe the required Conda packages to build and run your package. You'll then build cross-platform packages and upload them to Anaconda Cloud.

Conda Packages

Now that you're proficient in many areas of data science with Python it's time to share your code and data with others. In this course you'll learn the fundamentals of sharing your data science assets. You'll learn how to leverage Anaconda Projects to package data, code, and conda environments into a single archive for other data scientists to run. You'll learn the basics of creating Python packages that provide importable modules. Finally, you'll learn how to write Conda recipes for your packages, build them, and share them on Anaconda Cloud.

Learn how to write Conda recipes and share them on Anaconda Cloud. 

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Join over 7,490,000 learners and start Anaconda Skills today!