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Details for:
Darell A. Practical Guide to Python. From Basics to Advanced Programming 2024
darell practical guide python from basics advanced programming 2024
Type:
E-books
Files:
1
Size:
2.9 MB
Uploaded On:
Aug. 29, 2024, 5:14 a.m.
Added By:
andryold1
Seeders:
1
Leechers:
2
Info Hash:
765C35F43D16F568F60C84E0415A1A0F026465B7
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Textbook in PDF format This book offers a comprehensive path to learning Python, starting from the basics and progressing to more complex concepts and practical applications. It is designed for anyone looking to gain a solid understanding of the Python language, whether they are complete beginners or experienced programmers seeking to deepen their skills. Python is a high-level programming language known for its readability and simple syntax. One of Python's main goals is to make code easy to read. This is achieved through clear and concise syntax that uses indentation to de?ne code blocks, avoiding the use of curly braces or keywords like "begin" and "end." Code readability facilitates maintenance and collaboration among developers, reducing the likelihood of errors and improving so ware quality. Python aims to minimize code complexity, allowing programmers to write e?cient code in less time. Python's simple and intuitive syntax allows complex concepts to be expressed in a few lines of code. This increases developer productivity by allowing them to focus on application logic rather than language details. Python is designed to be a cross-platform language, meaning that Python code can run on a wide range of operating systems without modi?cation. Python is available on numerous platforms, from desktops to servers to mobile devices. Python's portability makes it an ideal choice for developing applications that need to run in di?erent environments. Python is highly extensible, meaning it can easily be integrated with other languages and systems, such as C, C++, and Java. This ?exibility makes Python ideal for a wide range of applications, from web development to data science. Extensions allow critical parts of the code to be optimized for better performance or to leverage existing libraries written in other languages. Numerous frameworks and libraries have been developed for Python, extending its use in areas such as web development (Django, Flask), Data Science (NumPy, Pandas, Matplotlib), Machine Learning (TensorFlow, Scikit-learn), and many others. These tools have made Python a popular choice for a wide range of applications, from web development to scientific research. Introduction to Python Basic Python Syntax Data Structures and Control Flow Functions and Modules Object-Oriented Programming (OOP) Exception Handling Input/Output and Files Python and Datebases Web Development with Python Data Science with Piton Machine Learning with Python Automation and Scripting Testing and Debugging Advanced Python Practical Projects
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Darell A. Practical Guide to Python. From Basics to Advanced Programming 2024.pdf
2.9 MB
