by
Sathaye, Ninad.
Call Number
006.76 22
Publication Date
2010
Format:
Electronic Resources
Relevance:
4.8252
by
Idris, Ivan.
Call Number
006.76
Publication Date
2012
Summary
Written in Cookbook style, the code examples will take your NumPy skills to the next level. This book will take Python developers with basic NumPy skills to the next level through some practical recipes.
Format:
Electronic Resources
Relevance:
4.7169
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by
Molina, Alessandro, author.
Call Number
005.133 23
Publication Date
2018
Format:
Electronic Resources
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4.6687
by
Fine, Mike Ohlson de.
Call Number
005.133 22
Publication Date
2010
Format:
Electronic Resources
Relevance:
4.6664
by
Dop, Thomas, author.
Call Number
006.35 23
Publication Date
2020
Format:
Electronic Resources
Relevance:
4.5922
by
López, Félix.
Call Number
005.133 23
Publication Date
2014
Summary
A short and straight to the point guide that explains the implementation of Regular Expressions in Python. This book is aimed at Python developers who want to learn how to leverage Regular Expressions in Python. Basic knowledge of Python is required for a better understanding.
Format:
Electronic Resources
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4.5722
by
Phillips, Dusty.
Call Number
005.117 22
Publication Date
2010
Summary
Annotation Object Oriented Programming is a very important aspect of modern programming languages. The basic principles of Object Oriented Programming are relatively easy to learn. Putting them together into working designs can be challenging.<br /><br />This book makes programming more of a pleasure than a chore using powerful Python 3 object-oriented features of Python 3. It clearly demonstrates the core OOP principles and how to correctly implement OOP in Python.<br /><br />Object Oriented Programming ranks high in importance among the many models Python supports. Yet, many programmers never bother learning the powerful features that make this language object oriented.<br /><br />The book teaches when and how OOP should be correctly applied. It emphasizes not only the simple syntax of OOP in Python, but also how to combine these objects into well-designed software.<br /><br />This book will introduce you to the terminology of the object-oriented paradigm, focusing on object-oriented design with step-by-step examples. It will take you from simple inheritance, one of the most useful tools in the object-oriented programmer's toolbox, all the way through to cooperative inheritance, one of the most complicated. You will be able to raise, handle, define, and manipulate exceptions.<br /><br />You will be able to integrate the object-oriented and the not-so-object-oriented aspects of Python. You will also be able to create maintainable applications by studying higher level design patterns. You'll learn the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems will be introduced to you. You'll understand the joy of unit testing and just how easy they are to create. You'll even study higher level libraries such as database connectors and GUI toolkits and how they apply object-oriented principles.<br /><br />Harness the power of Python 3 objects; it's not just a scripting language.
Format:
Electronic Resources
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4.5425
by
Richert, Willi.
Call Number
006.76
Publication Date
2013
Summary
This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML-based systems by actually working on them. This book primarily targets Python developers who want to learn about and build Machine Learning into their projects, or who want to pro.
Format:
Electronic Resources
Relevance:
4.5347
by
Buelta, Jaime, author.
Call Number
005.133 23
Publication Date
2020
Summary
This new and updated edition includes 75 recipes that cover the entire spectrum of skills you need for enterprise process automation and save time wasted in performing recurrent tasks. This book also features three new chapters that focus on using Python for automating testing routines, machine learning projects, and for working with messy ...
Format:
Electronic Resources
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4.4967
by
Harbour, Jonathan S. (Jonathan S. Harbour).
Call Number
005.133 23
Publication Date
2011
Format:
Electronic Resources
Relevance:
4.4903
by
Romano, Fabrizio, author.
Call Number
005.133 23ENG20230201
Publication Date
2021
Summary
Get up and running with Python through concise tutorials and practical projects in this fully updated edition Key Features Discover how to think like a Python programmer Extensively revised with richer examples, Python 3.9 syntax, and new chapters on APIs and packaging and distributing Python code Learn the fundamentals of Python through real-world projects in API development, GUI programming, and data science Book Description Learn Python Programming, Third Edition is both a theoretical and practical introduction to Python, an extremely flexible and powerful programming language that can be applied to many disciplines. This book will make learning Python easy and give you a thorough understanding of the language. You'll learn how to write programs, build modern APIs, and work with data by using renowned Python data science libraries. This revised edition covers the latest updates on API management, packaging applications, and testing. There is also broader coverage of context managers and an updated data science chapter. The book empowers you to take ownership of writing your software and become independent in fetching the resources you need. You will have a clear idea of where to go and how to build on what you have learned from the book. Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned. What you will learn Get Python up and running on Windows, Mac, and Linux Write elegant, reusable, and efficient code in any situation Avoid common pitfalls like duplication, complicated design, and over-engineering Understand when to use the functional or object-oriented approach to programming Build a simple API with FastAPI and program GUI applications with Tkinter Get an initial overview of more complex topics such as data persistence and cryptography Fetch, clean, and manipulate data, making efficient use of Python's built-in data structures Who this book is for This book is for anyone who has some programming experience, but not necessarily with Python. Some knowledge of basic programming concepts will come in handy, although it is not a requirement.
Format:
Electronic Resources
Relevance:
4.4726
by
Freeman, Richard Takashi, author.
Call Number
005.133 23
Publication Date
2019
Summary
Here we show how an end-to-end serverless application can be built at scale in a production environment with a few lines of Python configuration. We show you how to set up, configure and create different parts of the stack, including using the AWS Management Console and AWS Serverless Application Model (SAM). We also provide Python code, which ...
Format:
Electronic Resources
Relevance:
4.4590
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