The-Python-Workshop-Second-Edition

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The-Python-Workshop-Second-Edition

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The Python Workshop - Second Edition, published by Packt

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# The Python Workshop - Second Edition

This is the code repository for [The Python Workshop - Second Edition](https://www.packtpub.com/product/the-python-workshop-second-edition/9781804610619?utm_source=github&utm_medium=repository&utm_campaign=9781804610619), published by Packt.

**Write Python code to solve challenging real-world problems**

## What is this book about?
Have you always wanted to learn Python, but never quite known how to start?

This book covers the following exciting features:
* Write efficient and concise functions using core Python methods and libraries
* Build classes to address different business needs
* Create visual graphs to communicate key data insights
* Organize big data and use machine learning to make regression and classification predictions
* Develop web pages and programs with Python tools and packages
* Automate essential tasks using Python scripts in real-time execution

If you feel this book is for you, get your [copy](https://www.amazon.com/dp/1804610615) today!

## Errata

* Page 49: Bullet point no. 7 must be read as "Initialize the for loop from offer to highest: ```while offer <= highest:```"
* Page 52: In step 5, the correct code block should be:
```
name="Alenna" 
for i in range(3): 
 for i in name: 
 print(i) 
 print("!")
```
* Page 76: The output for aretha should be ('aretha', 75)
* Page 478: Bullet point no. 1 must read "Head to the notebook file that you used for exercises 148-153 and run all the cells in the notebook
so that all the variables are stored." instead of "Head to the notebook file that you used for exercises 147-151 and run all the cells in the notebook
so that all the variables are stored."
* Page 525: Figure caption for Figure 12.37 must be read as "An output for Activity 27 with 91% accuracy" instead of "Figure 12.37 – An output for Activity 26 with 91% accuracy"

## Instructions and Navigations
All of the code is organized into folders. For example, Chapter02.

The code will look like the following:
```
s1 = set([1,2,3,4,5,6])
print(s1)
s2 = {1,2,2,3,4,4,5,6,6}
print(s2)
s3 = {3,4,5,6,6,6,1,1,2}
print(s3)
```

**Following is what you need for this book:**
This book is for professionals, students, and hobbyists who want to learn Python and apply it to solve challenging real-world problems. Although this is a beginner’s course, you’ll learn more easily if you already have an understanding of standard programming topics like variables, if-else statements, and functions. Experience with another object-oriented program, though not essential, will also be beneficial. If Python is your first attempt at computer programming, this book will help you understand the basics with adequate detail for a motivated student.

With the following software and hardware list you can run all code files present in the book (Chapter 1-13).
### Software and Hardware List
| Chapter | Software required | OS required |
| -------- | ------------------------------------ | ----------------------------------- |
| 1-13 | Python 3.11 | Windows, macOS, or Linux |
| 1-13 | Jupyter notebook | Windows, macOS, or Linux |

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. [Click here to download it](https://packt.link/KB00O)

### Related products
* Python for Geeks [[Packt]](https://www.packtpub.com/product/python-for-geeks/9781801070119?utm_source=github&utm_medium=repository&utm_campaign=9781801070119) [[Amazon]](https://www.amazon.com/dp/1801070113)

* Advanced Python Programming - Second Edition [[Packt]](https://www.packtpub.com/product/advanced-python-programming-second-edition/9781801814010?utm_source=github&utm_medium=repository&utm_campaign=9781801814010) [[Amazon]](https://www.amazon.com/dp/1801814015)

## Get to Know the Authors
**Corey Wade**
who has an MS in Mathematics and an MFA in Writing and Consciousness, is the director and founder of Berkeley Coding Academy where he teaches Python and data science to teenagers from around the world. A regular contributor to Towards Data Science, Corey has also authored Hands-on Gradient Boosting with XGBoost and scikit-learn. Corey has taught math and programming for 18 years in the Berkeley Independent Study program at Berkeley High School. When not teaching or building Machine Learning models in Python, Corey reads poetry and studies the stars. You can visit his website berkeleycodingacademy.com.

**Mario Corchero Jiménez**
is a senior software developer at Bloomberg. He leads the Python infrastructure team, enabling the company to work effectively with Python and building company-wide libraries and tools. His professional experience is mainly in C++ and Python and he has contributed patches to multiple Python open source projects. He is a PSF fellow, having received the PSF Q3 2018 Community Award, and the vice president of Python España (Spain’s Python association). He has also served as the chairperson of PyLondinium, PyConES17, and PyCon Charlas at PyCon 2018. Mario is passionate about the Python community, open source, and inner source.is a senior software developer at Bloomberg. He leads the Python infrastructure team, enabling the company to work effectively with Python and building company-wide libraries and tools. His professional experience is mainly in C++ and Python and he has contributed patches to multiple Python open source projects. He is a PSF fellow, having received the PSF Q3 2018 Community Award, and the vice president of Python España (Spain’s Python association). He has also served as the chairperson of PyLondinium, PyConES17, and PyCon Charlas at PyCon 2018. Mario is passionate about the Python community, open source, and inner source.

**Andrew Bird**
is the data and analytics manager at Vesparum Capital. He leads the software and data science teams at Vesparum, overseeing full-stack web development in Django and React. He is an Australian actuary (FIAA, CERA) who has previously worked with Deloitte Consulting in financial services. Andrew also currently works as a full-stack developer for Draftable Pvt. Ltd. He voluntarily manages the ongoing development of the donation portal for the Effective Altruism Australia website.

**Dr. Lau Cher Han**
is a chief data scientist and is currently the CEO of LEAD, an institution that provides programs on data science, full-stack web development, and digital marketing. Well-versed in programming languages such as JavaScript, Python, C#, and so on, he is experienced in MEAN Stack, ASP.NET, and Python Django web frameworks. He is multilingual and speaks English, Chinese, and Bahasa fluently. His knowledge of Chinese even includes its dialects of Hokkien, Teochew, and Cantonese.

**Graham Lee**
is an experienced programmer and writer. He has written several books, including Professional Cocoa Application Security, Test-Driven iOS Development, APPropriate Behaviour, and APPosite Concerns. He is a developer who's been programming for long enough to want to start telling other people about the mistakes he's made in the hope that they'll avoid repeating them. In his case, this means having worked for about 12 years as a professional. His first programming experience can hardly be called professional at all, as it was in BASIC on a Dragon 32 microcomputer.

## Other books by the authors
* [Hands-On Gradient Boosting with XGBoost and scikit-learn](https://www.packtpub.com/product/hands-on-gradient-boosting-with-xgboost-and-scikit-learn/9781839218354?utm_source=github&utm_medium=repository&utm_campaign=9781839218354)
* [The Python Workshop](https://www.packtpub.com/product/the-python-workshop/9781839218859?utm_source=github&utm_medium=repository&utm_campaign=9781839218859)

### Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost. Simply click on the link to claim your free PDF.
 <a href="https://packt.link/free-ebook/9781804610619">https://packt.link/free-ebook/9781804610619 </a>

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