---
product_id: 192195279
title: "The Python Workshop: Learn to code in Python and kickstart your career in software development or data science"
price: "462 zł"
currency: PLN
in_stock: true
reviews_count: 13
url: https://www.desertcart.pl/products/192195279-the-python-workshop-learn-to-code-in-python-and-kickstart
store_origin: PL
region: Poland
---

# The Python Workshop: Learn to code in Python and kickstart your career in software development or data science

**Price:** 462 zł
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** The Python Workshop: Learn to code in Python and kickstart your career in software development or data science
- **How much does it cost?** 462 zł with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.pl](https://www.desertcart.pl/products/192195279-the-python-workshop-learn-to-code-in-python-and-kickstart)

## Best For

- Customers looking for quality international products

## Why This Product

- Free international shipping included
- Worldwide delivery with tracking
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## Description

Learn the fundamentals of clean, effective Python coding and build the practical skills to tackle your own software development or data science projects Key Features Build key Python skills with engaging development tasks and challenging activities Implement useful algorithms and write programs to solve real-world problems Apply Python in realistic data science projects and create simple machine learning models Book Description Have you always wanted to learn Python, but never quite known how to start? More applications than we realize are being developed using Python because it is easy to learn, read, and write. You can now start learning the language quickly and effectively with the help of this interactive tutorial. The Python Workshop starts by showing you how to correctly apply Python syntax to write simple programs, and how to use appropriate Python structures to store and retrieve data. You'll see how to handle files, deal with errors, and use classes and methods to write concise, reusable, and efficient code. As you advance, you'll understand how to use the standard library, debug code to troubleshoot problems, and write unit tests to validate application behavior. You'll gain insights into using the pandas and NumPy libraries for analyzing data, and the graphical libraries of Matplotlib and Seaborn to create impactful data visualizations. By focusing on entry-level data science, you'll build your practical Python skills in a way that mirrors real-world development. Finally, you'll discover the key steps in building and using simple machine learning algorithms. By the end of this Python book, you'll have the knowledge, skills and confidence to creatively tackle your own ambitious projects with Python. What you will learn Write clean and well-commented code that is easy to maintain Automate essential day-to-day tasks with Python scripts Debug logical errors and handle exceptions in your programs Explore data science fundamentals and create engaging visualizations Get started with predictive machine learning Keep your development process bug-free with automated testing Who this book is for This book is designed for anyone who is new to the Python programming language. Whether you're an aspiring software engineer or data scientist, or are just curious about learning how to code with Python, this book is for you. No prior programming experience is required. Table of Contents Vital Python - Math, Strings, Conditionals, and Loops Python Structures Executing Python - Programs, Algorithms, and Functions Extending Python, Files, Errors, and Graphs Constructing Python - Classes and Methods The Standard Library Becoming Pythonic Software Development Practical Python - Advanced Topics Data Analytics with pandas and NumPy Machine Learning

Review: A Thorough Programming Guide - I've used a few different Python training guides/workshops and most of them use the same method of teaching: using Jupyter notebooks to run through various Python exercises until completion. The Python Workshop is no exception. This is an effective way to learn the basics, plus more. I bought the physical book version of this item, as I would like to have a reference book when I need to look up something quickly (yes, sometimes books can be quicker than the internet). Even though this only includes the books (no codes for software), the software it uses can be downloaded for free and the preface gives easy instructions for how to set up the software. I'm not sure how effective this book would work as a Kindle ebook, but maybe it will work for someone out there.
Review: I have a whole shelf of python books. - as you can see, I have a whole shelf of python books. I have a good grasp on the language by now, but I wanted to find the best book to recommend for someone wanting to get the most out of a single volume. this is the book. it will hold your hand from the beginning, and keep reusing ideas over and over while adding new ones, in order to cement the skills you'll need to not only write effective code, but to write effective pythonic code. it will take you right up to the intermediate and advanced topics. get this book to start, then move on to fluent python, and effective python, or another more advanced one.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #2,215,234 in Books ( See Top 100 in Books ) #1,201 in Data Processing #1,691 in Python Programming #2,890 in Software Development (Books) |
| Customer Reviews | 4.6 out of 5 stars 199 Reviews |

## Images

![The Python Workshop: Learn to code in Python and kickstart your career in software development or data science - Image 1](https://m.media-amazon.com/images/I/61o5EQ7nLTL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ A Thorough Programming Guide
*by R***K on March 31, 2020*

I've used a few different Python training guides/workshops and most of them use the same method of teaching: using Jupyter notebooks to run through various Python exercises until completion. The Python Workshop is no exception. This is an effective way to learn the basics, plus more. I bought the physical book version of this item, as I would like to have a reference book when I need to look up something quickly (yes, sometimes books can be quicker than the internet). Even though this only includes the books (no codes for software), the software it uses can be downloaded for free and the preface gives easy instructions for how to set up the software. I'm not sure how effective this book would work as a Kindle ebook, but maybe it will work for someone out there.

### ⭐⭐⭐⭐⭐ I have a whole shelf of python books.
*by L***H on June 1, 2020*

as you can see, I have a whole shelf of python books. I have a good grasp on the language by now, but I wanted to find the best book to recommend for someone wanting to get the most out of a single volume. this is the book. it will hold your hand from the beginning, and keep reusing ideas over and over while adding new ones, in order to cement the skills you'll need to not only write effective code, but to write effective pythonic code. it will take you right up to the intermediate and advanced topics. get this book to start, then move on to fluent python, and effective python, or another more advanced one.

### ⭐⭐⭐⭐ Not a Good Reference
*by R***. on January 6, 2021*

I bought this book thinking it would be a good Python reference book. It serves more as a printed course on Python, and while fairly thorough, it left me wondering when I couldn't find "sleep" or "loop" or "if" or "else" in the back index (nothing is listed under "J", "L", "W" or "X" headings)? There is no good way to just find pages dealing with certain Python operators or key words and no compilation of terms exists in the whole book (sad, given that it is 566 pages). You can use the chapter index to locate many things but wouldn't one think a complete alphabetical locator would be handy? I haven't begun to read through the book, but a quick scan indicates there's a lot of useful material in it and the format of examples is good. It just isn't the desk reference I envisioned, and I don't think it would be a good recommendation for such.

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*Product available on Desertcart Poland*
*Store origin: PL*
*Last updated: 2026-05-18*