How To Define A Variable In Python
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Python in a Nutshell
Author: Alex Martelli
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2006-07-14
This volume offers Python programmers a straightforward guide to the important tools and modules of this open source language. It deals with the most frequently used parts of the standard library as well as the most popular and important third party extensions.
Dead Simple Python
The complete core language for existing programmers. Dead Simple Python is a thorough introduction to every feature of the Python language for programmers who are impatient to write production code. Instead of revisiting elementary computer science topics, you’ll dive deep into idiomatic Python patterns so you can write professional Python programs in no time. After speeding through Python’s basic syntax and setting up a complete programming environment, you’ll learn to work with Python’s dynamic data typing, its support for both functional and object-oriented programming techniques, special features like generator expressions, and advanced topics like concurrency. You’ll also learn how to package, distribute, debug, and test your Python project. Master how to: Make Python's dynamic typing work for you to produce cleaner, more adaptive code. Harness advanced iteration techniques to structure and process your data. Design classes and functions that work without unwanted surprises or arbitrary constraints. Use multiple inheritance and introspection to write classes that work intuitively. Improve your code's responsiveness and performance with asynchrony, concurrency, and parallelism. Structure your Python project for production-grade testing and distribution The most pedantically pythonic primer ever printed, Dead Simple Python will take you from working with the absolute basics to coding applications worthy of publication.
PYTHON PROGRAMMING
Author: KUMARI, LALITA
language: en
Publisher: PHI Learning Pvt. Ltd.
Release Date: 2025-01-01
This comprehensive text on Python programming is designed for undergraduate and postgraduate students in Computer Science and Information Technology. Whether you are a beginner or have limited programming knowledge, this book offers a structured learning experience, starting from foundational concepts and advancing to complex topics like machine learning. Divided into three parts, the book ensures a smooth progression from Basics and Core concepts of Python to Machine Learning with Python. It covers fundamental topics such as data types, variables, operators, and interactive input-output, enabling readers to write simple yet effective Python programs. Subsequently, the text explores advanced concepts like control flow, functions, file handling, object-oriented programming, modules, and data visualization through graph plotting empowering readers to develop robust and complex Python applications. Finally, the book introduces its readers to the world of machine learning, covering essential topics like data preprocessing, supervised and unsupervised learning, and implementing algorithms. The book equips students to excel in Python programming and seamlessly transition into machine learning, enabling them to design and implement customized algorithms for their datasets. KEY FEATURES • A practical approach to learn and practice python programming. • Chapter-wise example code/program with explanation and output discussion to explain each topic in easy way. • Includes data visualization through Plotly and Matplotlib. • File handling covers creation, read/view, modification of multiple file types—excel, csv, image, pdf, etc. • Includes Regular expression and Regular Expression Function, Lambda Function, and so on. • Explains data preprocessing steps—Data cleaning, Data transformation, Feature engineering, and Data splitting. • Covers, in detail, the supervised learning and unsupervised learning supported with example code and explanation. TARGET AUDIENCE • B.Tech Computer Science & Engineering • B.Sc. Computer Science • B.Tech Computer Science & Engineering with specialisation in Machine Learning • BCA/MCA