Python Programming For Advanced
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Advance Core Python Programming
Mastering Advanced Python Programming KEY FEATURES ● In-depth coverage on fundamentals of functions, recursion, classes, inheritance, and files. ● Mastery of advanced topics - Database connectivity, Errors and Exception, Testing and Debugging, threads, Data visualization, and Data analysis. ● In-depth coverage of advanced concepts such as data structures, and algorithms. ● Simplifies GUI and Widgets. ● Learn to connect GUI with MySQL to create a complete working application. ● Introduction to Flask. ● Thorough, detailed, and complete coverage of all topics along with ample coding examples and illustrations. DESCRIPTION Advance Core Python Programming is designed for Programmers who have a good understanding of Python basics and are ready to take the next steps. For entry-level Python programmers willing to dive deeper into programming, this book provides a path that will help them to add innovative features to their applications. This book starts by introducing you to the concept of Functions and Recursion and then moves on to higher levels of introducing you to OOP concepts, Files, integrating Python with database, threading, errors, exceptions, testing, debugging, data visualization, data analysis, GUI, data structures and algorithms. All these topics are the need of the hour and this book simplifies all these critical and essential concepts of Python for you. Knowledge of these topics will ease the functioning of your envisioned application. Throughout the book, you will have access to several coding examples which will help you to understand the real practical application of advanced Python concepts and you will be able to work on any kind of Python project with confidence. WHAT YOU WILL LEARN ● Learn advanced Python topics in simple language. ● Learn how to code in easy-to-follow steps. ● Learn to create your own classes and functions. ● Learn to work with Files. ● Learn to configure MySQL and make Python programs interact with the MySQL database. ● Get to know different types of errors, exceptions, and ways to test, debug and rectify them. ● Learn how to use Python for Data Visualization and Data Analysis. ● Learn to Create GUI features and add Widgets. ● Learn about data structures and algorithms. ● Learn to create and develop stack, queues, trees, and linked lists. ● Explore Flask, its features, and how to use it to build web applications. ● Learn to work on complex code by following simple step-by-step instructions. ● Prepare for theory and practical exams related to advanced Python Concepts. WHO THIS BOOK IS FOR This book is highly appealing to all tech-savvy students, programming enthusiasts, IT graduates, and computer science professionals who want to build strong proficiency in building Python applications. Prior understanding of Python basic coding concepts like variables, expressions, and control structures is required to begin with this book. You can also read Basic Core Python Programming to develop strong fundamentals before you start with this book. TABLE OF CONTENTS 1. Functions and Recursion 2. Classes, Objects, and Inheritance 3. Files 4. MySQL for Python 5. Python Threads 6. Errors, Exceptions, Testing, and Debugging 7. Data Visualization and Data Analysis 8. Creating the GUI form and Adding Widgets 9. MySQL and Python Graphical User Interface 10. Stack, Queue, and Deque 11. Linked List 12. Trees 13. Searching and Sorting 14. Getting Started with Flask
Learning Python Programming | Basic to Advance 2025
"Learning Python Programming | Basic to Advance 2025" by A. Khan is a complete and practical guide for mastering Python programming. This book is specially designed for beginners, intermediate learners, and even aspiring professionals who want to build real-world Python skills from scratch.
Python Programming For Advanced
Are you looking for a complete guide on python? Then keep reading... Python is a programming language that has several features that makes it very attractive to programmers and developers. First of all, Python is a free programming language which means it is available for anybody. Python is also an open-source language which means you can contribute to the source code if you wish. In fact, Python is a language that is supported by a community that gathers its effort through the internet to improve this language. Python is a language that belongs to the category of high-level languages. This implies that Python does not require compiling like other languages such as C or C++, Fortran, and so on. It implies also that the syntax of Python is very easy to use and learn. These features make Python programs to be easily developed, interpreted, and maintained at low cost. Therefore, it allows sharing and collaborating to develop applications based on Python very efficient. Being an easy syntax and high-level programming language does not mean that Python is a very slow programming language. In fact, Python is considered a very competitive and productive language. When compared to other programming languages that are low-level and known to be fast, a Python script can be 3rd or 5th size of a similar script developed with C++ or Java. In addition to requiring less typing and debugging, Python does not require compiling. Once a Python script is developed, it can be run directly without additional steps of compiling or linking to other tools or libraries. In this book You will be able to learn about: Getting Started with Phyton Machine Learning with Phyton Types of Learning Machine Data Analysis with Machine Learning Data Science and How It Fits in Machine Learning Data science Algorithms and Models Data Analysis with Phyton How machine learning works for data science Use Phyton in Machine Learning Functions in Python Tips and Tricks for an Expert Phyton Programming Performed Python programming exercises on functions, strings, lists and mathematical calculations and much more! Python comes with a default library called the standard library which includes a set of modules like the math module for mathematical and numerical programming. Moreover, Python supports using other libraries developed by third parties. There is a wide range of third parties' packages that are available online and allows using advanced tools for a specific domain (e.g. Numpy library for Numerical programming with Python, Pandas, Matplotlib for developing figures and so on). Hence, when coding with Python language, you have access to a wide set of tools and pre-coded and built-in objects that can be easily used. You never start from scratch because there is a high chance that the function you want to use was already coded and made available for use by anybody. Python can be considered as a hybrid language in the context that it allows integrating and to be integrated with other programming languages. For instance, you can use pre-coded or compiled libraries that are written in C or C++ within Python. You can also call Python codes from scripts that are written in C or C++. Are you curious about Phyton Programming? Start learning now by clicking the "Buy Now" button.