Prerequisite For Python Programming
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Programming Python
Provides information and tutorials on Python's application domains and its use in databases, networking, scripting layers, and text processing.
Kickstart Python Programming Fundamentals
Author: Jit Sinha
language: en
Publisher: Orange Education Pvt Ltd
Release Date: 2025-06-24
TAGLINE Keep Calm and Let Us Tame the Python. KEY FEATURES ● Beginner-friendly with clear examples and no prior coding needed. ● Step-by-step projects from basics to real-world applications. ● Hands-on learning with flowcharts, functions, and data tools. DESCRIPTION Python is more than a programming language—it’s a career catalyst. Whether you're aiming to future-proof your skills, automate everyday tasks, or break into tech, Python is the gateway. Kickstart Python Programming Fundamentals is your launchpad, built specifically for absolute beginners, freshers, students, and professionals with no coding background. With crystal-clear explanations, real-world examples, and zero jargon, this book makes programming accessible, engaging, and fun. You’ll start by writing your first Python program and gradually master essential concepts like variables, loops, functions, and data structures. From there, you'll progress to object-oriented programming, file handling, working with databases, and even get a taste of AI and data analysis. Each chapter includes hands-on exercises and mini-projects to solidify your learning. By the end, you'll not only understand Python—you’ll be building real-world solutions, building a project portfolio, and ready to take on academic, personal, or professional challenges. The future is coded—start your journey today and don’t get left behind. WHAT WILL YOU LEARN ● Write and run your first Python programs with confidence. ● Understand and use variables, data types, and Python syntax. ● Build logic-driven programs using loops and conditionals. ● Create clean, reusable code with functions and parameters. ● Organize and manipulate data using lists, dictionaries, tuples, and sets. ● Read and write files, handle errors, and explore basic AI concepts. ● Apply your skills in real-world projects and coding challenges. WHO IS THIS BOOK FOR? This book is for absolute beginners, including students, fresh graduates, hobbyists, career switchers, and professionals from non-technical backgrounds. Whether you're a complete novice, a fresher with no coding experience, or simply curious about programming, this book offers a clear, hands-on path to start your journey with Python—no prior knowledge required. TABLE OF CONTENTS 1. Beginning with Python 2. Introduction to Algorithms and Flowcharts 3. Basic Python 4. Making Choices and Repeating Actions 5. Creating Functions 6. Organizing Data 7. Understanding OOP in Python 8. Using Modules and Packages 9. Error Handling 10. File Handling and String Manipulation 11. Dates and Times 12. Working with JSON and XML 13. Math in Python 14. Managing Packages with PIP 15. Building Web Apps 16. Python and Databases 17. Analyzing Data 18. Python in Artificial Intelligence 19. Conclusion and Next Steps 20. Real-World Project Index
Advanced Python Programming
Author: Dr. Gabriele Lanaro
language: en
Publisher: Packt Publishing Ltd
Release Date: 2019-02-28
Create distributed applications with clever design patterns to solve complex problems Key FeaturesSet up and run distributed algorithms on a cluster using Dask and PySparkMaster skills to accurately implement concurrency in your codeGain practical experience of Python design patterns with real-world examplesBook Description This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: Python High Performance - Second Edition by Gabriele LanaroMastering Concurrency in Python by Quan NguyenMastering Python Design Patterns by Sakis KasampalisWhat you will learnUse NumPy and pandas to import and manipulate datasetsAchieve native performance with Cython and NumbaWrite asynchronous code using asyncio and RxPyDesign highly scalable programs with application scaffoldingExplore abstract methods to maintain data consistencyClone objects using the prototype patternUse the adapter pattern to make incompatible interfaces compatibleEmploy the strategy pattern to dynamically choose an algorithmWho this book is for This Learning Path is specially designed for Python developers who want to build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming language will help you get the most out of this Learning Path.