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Learn Python by Building Data Science Applications

You're reading from  Learn Python by Building Data Science Applications

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781789535365
Pages 482 pages
Edition 1st Edition
Languages
Authors (2):
Philipp Kats Philipp Kats
Profile icon Philipp Kats
David Katz David Katz
Profile icon David Katz
View More author details

Table of Contents (26) Chapters

Preface Section 1: Getting Started with Python
Preparing the Workspace First Steps in Coding - Variables and Data Types Functions Data Structures Loops and Other Compound Statements First Script – Geocoding with Web APIs Scraping Data from the Web with Beautiful Soup 4 Simulation with Classes and Inheritance Shell, Git, Conda, and More – at Your Command Section 2: Hands-On with Data
Python for Data Applications Data Cleaning and Manipulation Data Exploration and Visualization Training a Machine Learning Model Improving Your Model – Pipelines and Experiments Section 3: Moving to Production
Packaging and Testing with Poetry and PyTest Data Pipelines with Luigi Let's Build a Dashboard Serving Models with a RESTful API Serverless API Using Chalice Best Practices and Python Performance Assessments Other Books You May Enjoy

Conda

Last, but not least, let's talk about Conda. Yes, this is a tool, developed by Anaconda, hence the name. If you installed Python via Anaconda, you have it already. Conda represents two things at the same time – a package manager, and a virtual environment manager. Let's now discuss these two roles in more detail.

First, and foremost, Conda allows you to install Python packages (and other tools). Compared to Python's original pip package manager, it is language-agnostic, and can install any type of software; this feature is vital to the data science stack, as many tools are based on code, written in the C, C#, and Fortran languages—Conda just pulls a binary suitable for your operating system, if there is one.

In order to see all the packages already installed, type conda list in your terminal, and hit Enter – this will print out all the...

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