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  • av Saurabh Chandrakar
    522,-

    DESCRIPTION In today's data-driven world, the ability to extract meaningful insights from vast datasets is crucial for success in various fields. This ultimate book for mastering open-source libraries of data science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization.Discover how to use Python libraries like NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. This book also covers scientific computing with SciPy and integrates ChatGPT to boost your data science workflow. Designed for data scientists, analysts, and beginners, it offers a practical, hands-on approach to mastering data science fundamentals. With real-world applications and exercises, you will turn raw data into actionable insights, gaining a competitive edge. This book covers everything you need, including open-source libraries, Visual Explorer tools, and ChatGPT, making it a one-stop resource for Python-based data science.Readers will gain confidence after going through this book and we assure you that all the minute details have been taken into consideration while delivering the content. After reading, learning, and practicing from this book, we are sure that all IT professionals, novices, or job seekers will be able to work on data science projects thus proving their mettle.WHAT YOU WILL LEARN¿ Learn to work with popular IDEs like VS Code and Jupyter Notebook for efficient Python development.¿ Master open-source libraries such as NumPy, SciPy, Matplotlib, and Pandas through advanced, real-world examples.¿ Utilize automated EDA tools like PyGWalker and AutoViz to simplify complex data analysis.¿ Create sophisticated visualizations like heatmaps, FacetGrid, and box plots using Matplotlib and Seaborn.¿ Efficiently handle missing data, outliers, and perform filtering, sorting, grouping, and aggregation using Pandas and Polars.WHO THIS BOOK IS FORThis book is ideal for diploma, undergraduate, and postgraduate students from engineering and science fields to programming and software professionals. It is also perfect for data science, ML, and AI engineers looking to expand their expertise in cutting-edge technologies.

  • av Saurabh Chandrakar
    522,-

    Master the art of GUI development in Python with this comprehensive guide¿¿Python GUI with PyQt is an invaluable guide for both novice and experienced programmers who want to master the art of creating visually appealing and interactive graphical user interfaces (GUIs) for Python applications using the PyQt5 library and the Qt Designer visual layout tool. It covers all the essential concepts of PyQt5 GUI programming in a comprehensive and beginner-friendly manner.The book starts with the basics of GUI programming, such as creating windows, using layout managers, and managing signals and events. It then covers more advanced topics, such as creating dialog and message boxes, using container, input, item views, and display widgets. Then it teaches you to connect signals to slots, the cornerstone of event-driven programming, and discover how to utilize Qt Designer, a visual GUI design tool, to streamline the development process. As you progress, delve into the realm of containers, learning to organize and manage widgets with finesse. Explore the vast array of input widgets, enabling users to seamlessly provide data. You finally conclude your journey by mastering the art of display widgets, empowering you to present information with clarity and elegance. The book is also highly interactive, with practical examples and exercises at the end of each chapter. These help you solidify your understanding of the concepts and gain practical experience in PyQt5 GUI programming.WHAT YOU WILL LEARN¿ Practice your code in various IDEs, such as VS Code and Jupyter Notebook.¿ Write comments against your code to make it more readable and maintainable.¿ Discover different types of widgets available in Qt Designer, such as buttons, labels, text boxes, check boxes, radio buttons, drop-down menus, item views, and container widgets. ¿ Explore the different layout management options available in PyQt5, such as vertical, horizontal, form, and grid layouts.¿ Learn about the unique signals and slots mechanism in PyQt5 for handling events.WHO THIS BOOK IS FORThis book is for students of all levels, whether you're a novice programmer seeking to build your first GUI application or an experienced developer seeking to expand your skillset. From middle school to postgraduate, in any branch of engineering, science, or programming, this book will serve as your indispensable companion in elevating your Python programming prowess.

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