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Preparing the Workspace

Welcome! We're very excited to start learning and building things with you! However, we need to get ourselves ready first.

In this chapter, we'll learn how to download and install everything you'll need throughout the book, including Python itself, all the Python packages that we'll need, and two development tools we will be using extensively: Jupyter and Visual Studio Code (VS Code). After that, we'll go through a brief overview of Jupyter and VS Code interfaces. Finally, you will run your very first line of Python, so we need to ensure that everything is ready before we dive in.

In this chapter, we'll cover the following:

The minimum computer configuration required
How to install the Anaconda distribution
How to download the code for this book
Setting up and getting familiar with VS Code and Jupyter
Running your first line...

Key benefits

Learn the basics of developing applications with Python and deploy your first data application

Take your first steps in Python programming by understanding and using data structures, variables, and loops

Delve into Jupyter, NumPy, Pandas, SciPy, and sklearn to explore the data science ecosystem in Python

Description

Python is the most widely used programming language for building data science applications. Complete with step-by-step instructions, this book contains easy-to-follow tutorials to help you learn Python and develop real-world data science projects. The “secret sauce” of the book is its curated list of topics and solutions, put together using a range of real-world projects, covering initial data collection, data analysis, and production. This Python book starts by taking you through the basics of programming, right from variables and data types to classes and functions. You’ll learn how to write idiomatic code and test and debug it, and discover how you can create packages or use the range of built-in ones. You’ll also be introduced to the extensive ecosystem of Python data science packages, including NumPy, Pandas, scikit-learn, Altair, and Datashader. Furthermore, you’ll be able to perform data analysis, train models, and interpret and communicate the results. Finally, you’ll get to grips with structuring and scheduling scripts using Luigi and sharing your machine learning models with the world as a microservice. By the end of the book, you’ll have learned not only how to implement Python in data science projects, but also how to maintain and design them to meet high programming standards.

Who is this book for?

If you want to learn Python or data science in a fun and engaging way, this book is for you. You’ll also find this book useful if you’re a high school student, researcher, analyst, or anyone with little or no coding experience with an interest in the subject and courage to learn, fail, and learn from failing. A basic understanding of how computers work will be useful.

What you will learn

Code in Python using Jupyter and VS Code

Explore the basics of coding – loops, variables, functions, and classes

Deploy continuous integration with Git, Bash, and DVC

Get to grips with Pandas, NumPy, and scikit-learn

Perform data visualization with Matplotlib, Altair, and Datashader

Create a package out of your code using poetry and test it with PyTest

Make your machine learning model accessible to anyone with the web API

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

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Learn Python by Building Data Science Applications

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Total $ 132.97

Hoi Nguyen Aug 17, 2021

Great book with smart coding included!

Amazon Verified review

George Paquin Jun 14, 2024

So far, I've not been able to get Anaconda to install on linux mint. So my experience is. "What a pain". Might be a decent product, but so far it's disappointing. I think I'm going to have to set up a new system just to run it. Or find a linux mentor.

Feefo Verified review

Tony Apr 25, 2022

I am three quarters finished woth the book and there are many hurdles for a beginner of python. Number one the book uses an extremely complicated database about world war 2 battles. The database should have been less complicated since the book is supposedly meant for beginners of python. This complicated database is used again and again throughout the book for various tasks which impedes the learning process. Why couldn't the author have chosen a simpler database? The book starts out showing elements of the python language. At times the lessons are not bad. But then the author goes into this confusing complicated datascraping example which he uses for the next half of the book thereby confusing the reader. Why wasn't the datascraping explained to a beginner audience?? The section on data cleaning is super complicated using regex and was not explained well at all. I have about one quarter of the book left and I will update my review if i notice any improvement. The bottom line is that the author does not explain concepts to a beginner python audience like the book claims. He throws around terms like the reader is familiar with them like " pipes" without adequately explaining them. I am familiar with C and Java and I was still confused with the author's explanations. The bottom line: This is just NOT a book for python beginners and the explanations of real complicated concepts are lacking at best and down right confusing at worst.UPDATE: I continued to read the book and I just about gave up. From chapter 13 to the end gets progessively complicated and so disappointing, I had high hopes for this book to teach me python and data science at the same time, while it barely teaches either one. The problem here is that the author just does NOT explain every line of code. ANd the lines of code which he bothers to explain are not explained adequately. He just throws SUPER complicated code at you and expects you to understand it. On page 5 he states: " The book is designed for complete beginners..." Really?? If you are a beginner wouldn't you want every line of code explained? Or would you like the author to throw code at you and ASSUME you understand it? I wish this book would have been like the book: Artificial Intelligence and Deep Learning with Python: Every Line of Code Explained For Readers New to AI and New to Python. In that book each and every line of python code IS explained , profusely. I am extremely dissapointed.

Ricardo Cavallí Feb 11, 2020

Quite a bit of the code does not work and the author doesn't respond to social media for help...I would return it if it wasn't digital.

Learn Python by Building Data Science Applications: A fun, project-based guide to learning Python 3 while building real-world apps

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Learn Python by Building Data Science Applications

Preparing the Workspace

Technical requirements

Installing Python

Downloading materials for running the code

Working with VS Code

Beginning with Jupyter

Pre-flight check

Summary

Questions

Further reading

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Learn Python by Building Data Science Applications: A fun, project-based guide to learning Python 3 while building real-world apps

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