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Job Ready Python 1st Edition by Haythem Balti, Kimberly A Weiss ISBN 1119817382 978-1119817383

Name: Job Ready Python 1st Edition by Haythem Balti, Kimberly A Weiss ISBN 1119817382 978-1119817383
SKU: EB-36073976
Availability: InStock

Original price was: $50.00.Current price is: $25.00.

Job Ready Python 1st Edition Haythem Balti Kimberly A Weiss Digital Instant Download

Author(s): Haythem Balti Kimberly A Weiss

Edition: 1

File Details: EPUB, 17.04 MB

Year: 2021

Language: english

Sell by: Penelope Ward

SKU: EB-36073976 Category: Computers - Programming Tag: Haythem Balti Kimberly A Weiss

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Job Ready Python 1st Edition by Haythem Balti, Kimberly A. Weiss – Ebook PDF Instant Download/Delivery: 1119817382, 978-1119817383

Full download Job Ready Python 1st Edition after payment

Product details:

ISBN 10: 1119817382

ISBN 13: 978-1119817383

Author: Haythem Balti, Kimberly A. Weiss

Get ready to take on Python with a practical and job-focused guide

Job Ready Python offers readers a straightforward and elegant approach to learning Python that emphasizes hands-on and employable skills you can apply to real-world environments immediately.

Based on the renowned mthree Global Academy and Software Guild training program, this book will get you up to speed in the basics of Python, loops and data structures, object-oriented programming, and data processing. You’ll also get:

Thorough discussions of Extract, Transform, and Load (ETL) scripting in Python
Explorations of databases, including MySQL, and MongoDB―all commonly used database platforms in the field
Simple, step-by-step approaches to dealing with dates and times, CSV files, and JSON files

Ideal for Python newbies looking to make a transition to an exciting new career, Job Ready Python also belongs on the bookshelves of Python developers hoping to brush up on the fundamentals with an authoritative and practical new handbook.

Part II: Loops and Data Structures
7. Controlling Program Flow with Loops
8. Understanding Basic Data Structures: Lists
9. Understanding Basic Data Structures: Tuples
10. Diving Deeper into Data Structures: Dictionaries
11. Diving Deeper into Data Structures: Sets
12. Pulling It All Together: Prompting for an Address
13. Organizing with Functions

Part III: Object-Oriented Programming in Python
14. Incorporating Object-Oriented Programming
15. Including Inheritance
16. Pulling It All Together: Building a Burger Shop

Part IV: Data Processing with Python
17. Working with Dates and Times
18. Processing Text Files
19. Processing CSV Files
20. Processing JSON Files

Part V: Data Analysis and Exception Handling
21. Using Lambdas
22. Handling Exceptions
23. Pulling It All Together: Word Analysis in Python
24. Extracting, Transforming, and Loading with ETL Scripting
25. Improving ETL Scripting

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Tags: Haythem Balti, Kimberly A Weiss, Job, Ready, Python