Job Ready Python - Softcover

Über die Autorin bzw. den Autor

HAYTHEM BALTI, PhD, is the associate dean at Wiley’s mthree academy. He has created courses used by thousands of Software Guild and mthree alumni to learn Go, Java, Python, and other development and data science skills.

KIMBERLY A. WEISS is a veteran course developer, specializing in Computer Science courses since 2002. She was an assistant professor in Computer Science for over ten years before deciding to focus exclusively on course design. She has worked with multiple universities as well as corporate training settings to develop interactive instructional content appropriate for the target learners and course goals.

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PREPARE FOR A REAL-WORLD PROGRAMMING OR DATA SCIENCE ROLE WITH PYTHON

Python offers one of the most programmer-friendly learning curves of any major language. It combines this with tremendous utility and practicality for data scientists and software developers everywhere. Python’s unique mixture of accessibility and potential has made it one of the most popular languages for data processing and analysis used today.

In Job Ready Python, veteran software educator and developer Haythem Balti delivers an incisive and hands-on approach to Python you can apply immediately to real-world environments. Based on the famous mthree Global Academy and Software Guild training program, this book explores and teaches the basics of Python, loops and data structures, object-oriented programming, and data processing.

The author provides straightforward, step-by-step approaches to dealing with databases―including MySQL and MongoDB―as well as dates and times, CSV files, and JSON files. Readers will also find thorough discussions of the Extract, Transform, and Load (ETL) framework for scripting in Python.

Perfect for Python newbies who want to transition into a new career or job role, Job Ready Python will also prove to be a favorite of amateur and early-career Python developers brushing up on the foundations of their craft and looking for:

• Create a Python programming environment and initial setup
• Understand loops and data structures, including lists, dictionaries, and tuples
• Explore object-oriented programming (OOP) in Python
• Process various forms of data with Python, including dates and times
• Handle exceptions, debug code, and use Lambda functions
• Create pseudocode and install MySQL and MongoDB

The companion website at www.wiley.com/go/jobreadypython provides exercises for each chapter, plus data that can be used to test out the various data mining techniques in the book.

Aus dem Klappentext

PREPARE FOR A REAL-WORLD PROGRAMMING OR DATA SCIENCE ROLE WITH PYTHON

Python offers one of the most programmer-friendly learning curves of any major language. It combines this with tremendous utility and practicality for data scientists and software developers everywhere. Python’s unique mixture of accessibility and potential has made it one of the most popular languages for data processing and analysis used today.

In Job Ready Python, veteran software educator and developer Haythem Balti delivers an incisive and hands-on approach to Python you can apply immediately to real-world environments. Based on the famous mthree Global Academy and Software Guild training program, this book explores and teaches the basics of Python, loops and data structures, object-oriented programming, and data processing.

The author provides straightforward, step-by-step approaches to dealing with databases—including MySQL and MongoDB—as well as dates and times, CSV files, and JSON files. Readers will also find thorough discussions of the Extract, Transform, and Load (ETL) framework for scripting in Python.

Perfect for Python newbies who want to transition into a new career or job role, Job Ready Python will also prove to be a favorite of amateur and early-career Python developers brushing up on the foundations of their craft and looking for:

• Create a Python programming environment and initial setup
• Understand loops and data structures, including lists, dictionaries, and tuples
• Explore object-oriented programming (OOP) in Python
• Process various forms of data with Python, including dates and times
• Handle exceptions, debug code, and use Lambda functions
• Create pseudocode and install MySQL and MongoDB

The companion website at www.wiley.com/go/jobreadypython provides exercises for each chapter, plus data that can be used to test out the various data mining techniques in the book.