Download or read book SYMMETRIC KEY CRYPTOGRAPHY WITH PYTHON AND TKINTER written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2024-08-24 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the evolving landscape of data security, encryption algorithms play a crucial role in safeguarding sensitive information. This book delves into several prominent encryption algorithms, including AES, DES, 3DES, Blowfish, and CAST. Each algorithm offers unique strengths and is suitable for different use cases. Advanced Encryption Standard (AES) stands out for its robust security and efficiency, making it a preferred choice for many modern applications. Data Encryption Standard (DES), while historically significant, has largely been replaced by Triple DES (3DES), which enhances DES's security by applying it multiple times. Blowfish, a versatile and fast cipher, and CAST, known for its flexibility in key lengths, are also explored for their practical applications in various security scenarios. To provide a hands-on approach, this book includes detailed Python examples and Tkinter-based graphical user interfaces for each encryption algorithm. These practical examples illustrate how to implement these ciphers in real-world applications, from basic encryption and decryption processes to more complex use cases involving secure data handling and user interaction. Through these examples, readers will gain a comprehensive understanding of both the theoretical and practical aspects of encryption, empowering them to implement secure solutions tailored to their specific needs. In chapter two, we discussed the development of a Tkinter-based GUI application for AES encryption and decryption of synthetic data. The application consists of multiple tabs: one for displaying original data, one for showing encrypted data, another for decrypted data, and a fourth for entering and managing passwords. Key functionalities include generating a synthetic dataset with various attributes like UserID, Name, and Email, encrypting and decrypting this data using AES encryption in GCM mode, and displaying the results in a ttk.Treeview. The application also features password management, allowing users to set a password, generate an encryption key from it, and update the displays accordingly. The code includes several methods for data encryption and decryption, key derivation, and DataFrame management. The generate_data_intelligence_dataset method creates synthetic data, while encrypt_data and decrypt_data methods handle AES encryption and decryption. The update_displays method updates the DataFrame with encrypted and decrypted data and saves these to Excel files. The display_dataframe method dynamically displays DataFrames in the Tkinter GUI, with alternating row colors for better readability. This session detailed how each part of the code contributes to creating a rich and interactive application for handling encrypted data. In chapter three, we explored a detailed Tkinter application designed for managing and visualizing Bitcoin transaction data. The application generates synthetic data including wallet addresses, transaction types, dates, Bitcoin amounts, and their USD equivalents. Users enter an 8-byte DES key to encrypt Bitcoin amounts using DES encryption. The encrypted data is displayed in a tab within the Tkinter GUI, and users can view a histogram showing the distribution of Bitcoin amounts, both before and after encryption. The application leverages various Python libraries: tkinter for the GUI, pandas for data manipulation, Crypto.Cipher.DES for encryption, and matplotlib for plotting. Key functions include generating synthetic Bitcoin data, encrypting data with DES, and visualizing data distributions. The GUI is structured with tabs for entering the password, viewing original and encrypted data, and displaying distribution graphs. The session detailed how each function works, from generating Bitcoin addresses and transaction data to encrypting and decrypting data and plotting results. In chapter four, we discussed a Python code that integrates a Tkinter GUI with Triple DES (3DES) encryption and SQLite database management. The code encompasses the setup of an SQLite database, encryption and decryption of transaction data using 3DES, and functions for saving and retrieving encrypted transaction records. Key functions include generating a 3DES key, encrypting and decrypting data with appropriate padding, and handling database operations with retry logic to manage potential locking issues. We explored the database setup with table creation, and transaction management, and incorporated robust error handling to ensure reliable operation. The GUI implementation leverages Tkinter for user interaction and display, including functions to generate 3DES keys, handle encryption/decryption operations, and manage transaction records in an SQLite database. The session covered detailed explanations of how each part of the code operates, from database setup and key generation to data encryption/decryption and transaction storage. This comprehensive approach ensures secure handling of sensitive data and integrates encryption functionalities within a user-friendly interface, demonstrating practical applications of cryptographic techniques in a real-world scenario. In chapter five, we detailed a Python script using Tkinter for a secure cloud storage application leveraging Blowfish encryption. The script includes several core functionalities: user authentication, file upload and download, and cryptographic operations. Key aspects include helper functions for generating and verifying HMACs, as well as Blowfish encryption and decryption. The GUI is organized into tabs for user login/register, file upload, file download, and logs. Functions are defined to handle file selection, encryption, upload, HMAC generation, and downloading, ensuring that data integrity is maintained through HMAC verification and secure file handling. The Tkinter-based GUI is designed to provide a user-friendly interface for interacting with the secure cloud storage system. The SecureCloudStorageApp class initializes and configures the GUI with tabs for different functionalities. It manages user login, registration, file selection, and storage operations. The application supports encryption and decryption of files, storing encrypted data and HMACs, and provides feedback through a log and message boxes. This setup ensures secure data handling and user management, integrating cryptographic functions seamlessly into a functional application interface. In chapter six, we discussed and refined a Python script for managing file encryption and decryption using the CAST cipher, implemented with a Tkinter graphical user interface (GUI). The script includes functions for generating encryption keys, encrypting and decrypting files, and handling file uploads and downloads. It also features user authentication and registration mechanisms, utilizing bcrypt for password hashing and checking. The GUI allows users to perform these actions through a series of buttons and input fields, with status updates and error messages displayed in a scrollable text area. We further improved the script by adding error handling for file operations and ensuring proper file path management. Enhancements included better user feedback through message boxes for errors related to file reading, JSON decoding, and user actions. These improvements aimed to make the application more robust and user-friendly, ensuring reliable file management and secure encryption practices. The final version also addressed exceptions and edge cases to enhance the overall reliability and functionality of the Tkinter-based application.

Download or read book ELLIPTIC CURVE CRYPTOGRAPHY ECC KEY GENERATION ENCRYPTION DECRYPTION AND DIGITAL SIGNATURES LEARN BY EXAMPLES WITH PYTHON AND TKINTER written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2024-08-30 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to the development of a sophisticated and feature-rich Tkinter GUI that leverages Elliptic Curve Cryptography (ECC) for various cryptographic operations, including key generation, encryption, decryption, signing, and verifying data. The primary goal is to create an interactive application that allows users to perform these operations on synthetic financial data, demonstrating the practical use of ECC in securing sensitive information. The GUI is meticulously designed with multiple tabs, each corresponding to a different cryptographic function, enabling users to navigate through key generation, data encryption/decryption, and digital signature processes seamlessly. The GUI starts with the key generation tab, where users can generate ECC key pairs. These key pairs are essential for the subsequent encryption and signing operations. The GUI provides feedback on the generated keys, displaying the public and private keys in hexadecimal format. This feature is crucial for understanding the foundational role of ECC in modern cryptography, where small key sizes provide strong security. The key generation process also highlights the advantages of ECC over traditional RSA, particularly in terms of efficiency and security per bit length. In the encryption and decryption tab, the GUI enables users to encrypt synthetic financial data using the previously generated ECC keys. The encryption process is performed using AES in Cipher Feedback (CFB) mode, with the AES key derived from the ECC private key through key derivation functions. This setup showcases the hybrid approach where ECC is used for key exchange or key derivation, and AES is employed for the actual encryption of data. The GUI displays the generated ciphertext in a hexadecimal format, along with the Initialization Vector (IV) used in the encryption process, providing a clear view of how the encrypted data is structured. The signing and verifying tab demonstrates the use of ECC for digital signatures. Here, users can sign the synthetic financial data using the ECDSA (Elliptic Curve Digital Signature Algorithm), a widely recognized algorithm for ensuring data integrity and authenticity. The GUI displays the generated digital signature in hexadecimal format, offering insights into how ECC is applied in real-world scenarios like secure messaging and digital certificates. The verification process, where the signature is checked against the original data using the ECC public key, is also integrated into the GUI, emphasizing the importance of digital signatures in verifying data authenticity. The synthetic financial data used in these operations is generated within the GUI, simulating transaction records that include fields such as transaction ID, account number, amount, currency, timestamp, and transaction type. This dataset is crucial for demonstrating the encryption and signing processes in a context that mirrors real-world financial systems. By encrypting and signing this data, users can understand how ECC can be applied to protect sensitive information in financial transactions, ensuring both confidentiality and integrity. Finally, the GUI’s design incorporates user-friendly elements such as scrolled text widgets for displaying long hexadecimal outputs, entry fields for user inputs, and clear labels for guiding the user through each cryptographic operation. The application provides a comprehensive and interactive learning experience, allowing users to explore the intricacies of ECC in a controlled environment. By integrating ECC with AES for encryption and ECDSA for signing, the GUI offers a practical demonstration of how modern cryptographic techniques can be combined to secure data, making it an invaluable tool for anyone looking to understand or teach the principles of ECC-based cryptography.

Download or read book IMAGE STEGANOGRAPHY Least Significant Bit LSB with AES DES RSA ECC and ELGAMAL Cryptosystem LEARN BY EXAMPLES WITH PYTHON AND TKINTER written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2024-09-03 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving field of digital security, image steganography has emerged as a vital technique for embedding secret information within digital images, ensuring both privacy and data integrity. "IMAGE STEGANOGRAPHY: Least Significant Bit (LSB) with AES, DES, RSA, ECC, and ELGAMAL Cryptosystem: LEARN BY EXAMPLES WITH PYTHON AND TKINTER" delves into the intricate world of steganography, exploring how the Least Significant Bit (LSB) method can be employed in conjunction with robust cryptographic algorithms to enhance data concealment. This book provides a comprehensive guide to integrating classic and modern encryption techniques, including AES, DES, RSA, ECC, and ElGamal, within the realm of image steganography. Through practical examples and hands-on projects using Python and Tkinter, readers will gain a deep understanding of how to implement these cryptographic systems to securely encode and decode hidden messages within images. The book is designed to cater to both novices and experienced developers, offering clear explanations, detailed code examples, and user-friendly Tkinter interfaces for building and testing steganographic applications. By the end of this journey, readers will not only master the art of image-based data hiding but also develop a strong foundation in integrating advanced cryptographic methods with real-world applications. Project 1 and 2 successfully combines user-friendly design with effective data concealment techniques. By leveraging the Least Significant Bit (LSB) method, the application allows users to encode and decode text messages within images with ease. The integration of the Python Imaging Library (PIL) for image manipulation and Tkinter for the graphical interface ensures that users can interact with the program effortlessly, focusing on the functionality rather than the underlying technical complexities. The application’s dual-tab interface for encoding and decoding provides a seamless user experience, allowing users to visually compare original and encoded images, and retrieve hidden messages with immediate feedback. As an educational tool, it offers practical insight into the principles of steganography and image processing, making it accessible to individuals with varying levels of technical expertise. Overall, this project demonstrates a successful implementation of steganographic techniques in a user-friendly and interactive format, enhancing both learning and practical application of data concealment methods. Project 3 and 4 successfully merges DES encryption with steganography through a graphical user interface (GUI) to create a practical and secure method for encoding and decoding messages within images. By utilizing the Least Significant Bit (LSB) technique, the application ensures that encrypted messages are subtly embedded in image pixels, preserving the visual integrity of the images while keeping the hidden information discreet and secure. The use of DES encryption enhances the security of the messages, ensuring that only individuals with the correct password can decrypt and access the hidden content. The GUI facilitates an intuitive user experience, allowing users to seamlessly encode and decode messages while providing visual comparisons of the original and encoded images. The application’s error handling and feedback mechanisms ensure a smooth and user-friendly process. Overall, this project not only highlights the effective integration of cryptographic and steganographic techniques but also demonstrates how such technology can be made accessible and practical for secure digital communication. The combination of Tkinter's ease of use and DES encryption's robust security offers a valuable tool for confidential information management. Project 5 and 6 delivers a comprehensive and user-friendly solution for embedding and extracting encrypted messages within images using AES encryption. The application effectively combines advanced cryptographic techniques with steganography to ensure that sensitive information is both securely hidden and easily retrievable. With its intuitive Tkinter-based interface, users can seamlessly encode messages into images and decrypt them with confidence, knowing that their data is protected by robust encryption and concealed through the Least Significant Bit (LSB) technique. By supporting various image formats and providing features for image browsing and saving, the application enhances the user experience while addressing potential errors with informative guidance. As both an educational tool and a practical solution, the ImageSteganographyApp underscores the critical role of integrating data security and privacy measures in digital communications, demonstrating the practical applications of combining cryptography and steganography in a single, accessible platform. Project 7 and 8 delivers a powerful solution for secure communication by combining RSA encryption with image steganography using the Least Significant Bit (LSB) technique. By first encrypting messages with RSA's robust asymmetric algorithm and then embedding the encrypted data within an image, the application ensures that sensitive information is both confidential and covert. The use of RSA provides strong encryption that protects the message from unauthorized access, while LSB steganography discreetly hides the encrypted data, making it nearly invisible to casual observers. The Tkinter-based graphical user interface enhances user accessibility by simplifying complex cryptographic and steganographic processes. Users can generate RSA key pairs, select images for embedding or extracting messages, and manage encryption and decryption tasks through an intuitive interface. This combination of advanced encryption and stealthy data embedding is particularly valuable in fields where secure and unobtrusive communication is critical, such as in government, military, and corporate settings. Overall, the project offers a robust and practical approach to safeguarding sensitive information, blending security and secrecy effectively. Project 9 and 10 showcases an innovative approach to secure communication by integrating Elliptic Curve Cryptography (ECC) with image-based steganography within a Tkinter-based graphical user interface (GUI). The application provides a seamless and secure method for encoding confidential messages into images, leveraging ECC's strong encryption capabilities to ensure message confidentiality while using steganography to discreetly conceal the encrypted data. This dual-layer approach enhances security by not only encrypting the message but also hiding its presence, making unauthorized access significantly more challenging. The user-friendly GUI enhances the overall experience by allowing users to easily generate ECC key pairs, encrypt and embed messages, and decode hidden information without requiring extensive technical knowledge. Supporting various image formats and incorporating additional features like password protection and potential future enhancements, the application is both versatile and robust. Ultimately, this project represents a significant advancement in secure message transmission, offering a practical and accessible tool for safeguarding sensitive information through a combination of advanced cryptographic and steganographic techniques. Project 11 and 12 represents a significant advancement in secure message transmission by seamlessly integrating ElGamal encryption with image-based steganography. The graphical user interface (GUI) developed with Tkinter facilitates a straightforward and intuitive approach to managing cryptographic operations, enabling users to encode and decode messages within images effortlessly. By leveraging the ElGamal algorithm's robust encryption capabilities alongside the subtlety of steganographic techniques, the application offers a comprehensive solution for confidential communication. The practical implementation of this tool demonstrates the powerful synergy between encryption and steganography, making it accessible to users without requiring deep technical expertise. With dedicated tabs for key generation, message encoding, and decoding, the application ensures that users can securely hide and retrieve information while maintaining a user-friendly experience. This project not only highlights the potential of combining these technologies but also serves as a practical example of how advanced cryptographic methods can be effectively applied in real-world scenarios.

Download or read book Practical Cryptography in Python written by Seth James Nielson and published by Apress. This book was released on 2019-09-27 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop a greater intuition for the proper use of cryptography. This book teaches the basics of writing cryptographic algorithms in Python, demystifies cryptographic internals, and demonstrates common ways cryptography is used incorrectly. Cryptography is the lifeblood of the digital world’s security infrastructure. From governments around the world to the average consumer, most communications are protected in some form or another by cryptography. These days, even Google searches are encrypted. Despite its ubiquity, cryptography is easy to misconfigure, misuse, and misunderstand. Developers building cryptographic operations into their applications are not typically experts in the subject, and may not fully grasp the implication of different algorithms, modes, and other parameters. The concepts in this book are largely taught by example, including incorrect uses of cryptography and how "bad" cryptography can be broken. By digging into the guts of cryptography, you can experience what works, what doesn't, and why. What You’ll Learn Understand where cryptography is used, why, and how it gets misused Know what secure hashing is used for and its basic propertiesGet up to speed on algorithms and modes for block ciphers such as AES, and see how bad configurations breakUse message integrity and/or digital signatures to protect messagesUtilize modern symmetric ciphers such as AES-GCM and CHACHAPractice the basics of public key cryptography, including ECDSA signaturesDiscover how RSA encryption can be broken if insecure padding is usedEmploy TLS connections for secure communicationsFind out how certificates work and modern improvements such as certificate pinning and certificate transparency (CT) logs Who This Book Is For IT administrators and software developers familiar with Python. Although readers may have some knowledge of cryptography, the book assumes that the reader is starting from scratch.

Download or read book Python Cryptography written by Anish Nath and published by Anish Nath. This book was released on 2018-10-26 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning cryptography and security is fun instead of saying it hard or complex. This book is written in cookbook style and covers all the major crypto function with the sample code using the major python crypto libraray like (cryptography/pycrypo/jwcrypto), which will come handy for python crypto developers from beginner to advanced in their daily use.

Download or read book RSA CRYPTOSYSTEM KEY GENERATION ENCRYPTION DECRYPTION AND DIGITAL SIGNATURES LEARN BY EXAMPLES WITH PYTHON AND TKINTER written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2024-08-28 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the secrets of modern cryptography explored in this book, a comprehensive guide that takes you from the fundamentals to advanced applications in encryption, decryption, and digital signatures. Whether you're a beginner or an experienced developer, this book offers hands-on examples, real-world scenarios, and detailed explanations that make complex concepts accessible and engaging. Dive into the world of RSA, as you learn to build secure systems and protect sensitive information with confidence. Perfect for anyone looking to master the art of cryptography, this book is your key to the future of digital security. In chapter one, we implemented RSA key generation within a Tkinter-based GUI application. This example was designed to be user-friendly, allowing users to generate RSA keys with a simple button click. The process involved generating a private key and a corresponding public key, which were then displayed within a text widget for easy copying and saving. This example demonstrated the ease with which RSA keys can be generated programmatically, making cryptography more accessible to users who may not be familiar with command-line interfaces. In chapter two, we embarked on a journey to create a sophisticated RSA encryption and decryption project. We began by constructing a comprehensive Tkinter-based GUI application that allows users to generate RSA key pairs, create and sign transactions, verify signatures, and securely store transactions. The initial focus was on setting up the graphical user interface, with multiple tabs dedicated to different functionalities, ensuring that the application was both user-friendly and feature-rich. The core functionality of the application revolves around RSA key generation, transaction creation, and digital signing. The RSA keys are generated using the cryptography library, and users can generate private and public keys, which are then displayed in the application. This setup forms the foundation for securely signing transactions. The transaction creation process involves entering details like the sender, receiver, amount, and currency, after which the transaction data is signed using the private key, producing a digital signature. This digital signature ensures the authenticity and integrity of the transaction, preventing any tampering or forgery. Once transactions are signed, they can be stored in a secure manner. The application allows users to save these transactions, along with their digital signatures, in a JSON file, providing a permanent and verifiable record. This storage mechanism is crucial for maintaining the integrity of financial transactions or any sensitive data, as it ensures that each transaction is accompanied by a corresponding signature and public key, enabling later verification. The verification process is another key component of the project. The application retrieves stored transactions and verifies the digital signature against the stored public key. This process ensures that the transaction has not been altered since it was signed, confirming its authenticity. The verification feature is critical in real-world applications, where data integrity and authenticity are paramount, such as in financial systems, legal documents, or secure communications. Throughout the chapter, the project was designed with a strong emphasis on real-world applicability, robustness, and security. The example provided not only serves as a practical guide for implementing RSA encryption and decryption with digital signatures but also highlights the importance of secure key management, transaction integrity, and data authenticity in modern cryptographic applications. This project demonstrates the power of RSA in securing sensitive data and transactions in a user-friendly and accessible way, making it an essential tool for developers working with encryption in real-world scenarios. In chapter three, we some projects focused on RSA digital signatures, delving into the creation of synthetic datasets, key generation, data signing, and verification processes. The project’s primary objective is to demonstrate how RSA digital signatures can be applied in a real-world scenario by securely signing and verifying user data. This example uses a synthetic dataset of user information, including user IDs, names, emails, and registration dates, to illustrate the practical implementation of RSA cryptography. The project begins with generating RSA keys using the generate_rsa_keys function. This function creates a pair of keys: a private key used for signing data and a public key for verifying the signature. These keys are essential for the RSA cryptographic process, where the private key ensures that the data remains authentic and unaltered, while the public key is used to verify the authenticity of the signed data. The keys are serialized into PEM format, a widely-used encoding standard that facilitates the secure storage and transmission of cryptographic keys. Next, a synthetic user dataset is generated using the create_synthetic_user_dataset function. This dataset comprises a specified number of user records, each containing a unique user ID, name, email address, and registration date. The purpose of this synthetic data is to simulate a realistic environment where user information needs to be securely signed and verified. By using a synthetic dataset, we ensure that the example remains versatile and adaptable to various scenarios without relying on actual sensitive information. Once the dataset is generated, the sign_data function is employed to sign each user's data using the RSA private key. This process involves creating a digital signature for each record, ensuring that any alteration to the data after signing would invalidate the signature. The digital signature serves as a cryptographic proof of the data’s integrity and authenticity, providing a robust mechanism to detect tampering or unauthorized modifications. The signatures are then stored alongside the user data for subsequent verification. Finally, the project includes a mechanism for storing the signed data and public key in a JSON file, and a function for retrieving and verifying the data. The store_user_data function saves the user data, corresponding signatures, and the public key to a file, allowing for secure storage and later retrieval. The retrieve_and_verify_user_data function reads the stored data, verifies each signature using the public key, and confirms whether the data remains unaltered. This final step completes the demonstration of how RSA digital signatures can be effectively used to secure user data, making it a comprehensive example for those learning about cryptographic techniques in real-world applications.

Download or read book Python In Depth written by Ahidjo Ayeva and published by BPB Publications. This book was released on 2020-10-06 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build it with Python, the popular and batteries-included programming tool Key Features _ Get familiar with the fundamentals of Python. _ Understand the OOP paradigm and learn to write your custom object classes. _ Explore tools and techniques to measure code execution for Performance Optimization. _ Understand how Python is used in the main Cryptographic mechanisms. Description ÒPython In-DepthÓ gives you a detailed presentation of the possibilities for solving everyday problems, even complex ones using Python. You will begin by setting up Python in your system and then learn about the fundamentals of Python so that you have a rock-solid foundation to build upon. You will explore the foundations of Python programming, such as the built-in data types, functions, objects and classes, files, etc. You will then explore the different programming paradigms such as OOP, Functional, and Concurrent, and find the best approach given a situation. You will also learn how to utilize an interchange format to exchange data and understand how to carry out performance optimization, effective debugging, and security, among other techniques. Towards the end, you will enjoy two chapters dedicated to two domains where Python usage is currently very strong: Data Science and Web Development. What will you learn _ Learn how to improve your Python Code Quality. _ Explore the techniques and frameworks for Python GUI Programming. _ Solve Data Science and Machine Learning problems using Python. _ Get familiar with Python web frameworks; Django and Flask. Who this book is for This book is for anyone who is new to Software Development and wants to learn Python. Existing Python users can also use this book for a quick reference for the fundamentals and the features introduced in Python 3.7. Table of Contents 1. Getting Started with Python 2. Program Flow and Error Handling 3. Functions, Modules, and Functional Programming 4. Useful Modules and Libraries 5. Object Orientation 6. Decorators and Iterators 7. Files and Data Persistence 8. Context Managers 9. Performance Optimization 10. Cryptography 11. Concurrent Execution 12. Logging and Debugging 13. Code Style and Quality Assurance 14. Code Packaging and Dependencies 15. GUI Programming 16. Web Development 17. Data Science

Download or read book Learning Python written by Mark Lutz and published by "O'Reilly Media, Inc.". This book was released on 2009-10-06 with total page 1218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly -- whether you're new to programming or just new to Python. It's an easy-to-follow self-paced tutorial, based on author and Python expert Mark Lutz's popular training course. Each chapter contains a stand-alone lesson on a key component of the language, and includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go. You'll find lots of annotated examples and illustrations to help you get started with Python 3.0. Learn about Python's major built-in object types, such as numbers, lists, and dictionaries Create and process objects using Python statements, and learn Python's general syntax model Structure and reuse code using functions, Python's basic procedural tool Learn about Python modules: packages of statements, functions, and other tools, organized into larger components Discover Python's object-oriented programming tool for structuring code Learn about the exception-handling model, and development tools for writing larger programs Explore advanced Python tools including decorators, descriptors, metaclasses, and Unicode processing

Download or read book Python For Dummies written by Stef Maruch and published by John Wiley & Sons. This book was released on 2011-05-09 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python is one of the most powerful, easy-to-read programming languages around, but it does have its limitations. This general purpose, high-level language that can be extended and embedded is a smart option for many programming problems, but a poor solution to others. Python For Dummies is the quick-and-easy guide to getting the most out of this robust program. This hands-on book will show you everything you need to know about building programs, debugging code, and simplifying development, as well as defining what actions it can perform. You’ll wrap yourself around all of its advanced features and become an expert Python user in no time. This guide gives you the tools you need to: Master basic elements and syntax Document, design, and debug programs Work with strings like a pro Direct a program with control structures Integrate integers, complex numbers, and modules Build lists, stacks, and queues Create an organized dictionary Handle functions, data, and namespace Construct applications with modules and packages Call, create, extend, and override classes Access the Internet to enhance your library Understand the new features of Python 2.5 Packed with critical idioms and great resources to maximize your productivity, Python For Dummies is the ultimate one-stop information guide. In a matter of minutes you’ll be familiar with Python’s building blocks, strings, dictionaries, and sets; and be on your way to writing the program that you’ve dreamed about!

Download or read book Introduction to Python for Engineers and Scientists written by Sandeep Nagar and published by Apress. This book was released on 2017-12-06 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. What You'll Learn Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops Who This Book Is For Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.

Download or read book Python for R Users written by Ajay Ohri and published by John Wiley & Sons. This book was released on 2017-11-13 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations—complete with sample code—of R to Python and Python to R. Following an introduction to both languages, the author cuts to the chase with step-by-step coverage of the full range of pertinent programming features and functions, including data input, data inspection/data quality, data analysis, and data visualization. Statistical modeling, machine learning, and data mining—including supervised and unsupervised data mining methods—are treated in detail, as are time series forecasting, text mining, and natural language processing. • Features a quick-learning format with concise tutorials and actionable analytics • Provides command-by-command translations of R to Python and vice versa • Incorporates Python and R code throughout to make it easier for readers to compare and contrast features in both languages • Offers numerous comparative examples and applications in both programming languages • Designed for use for practitioners and students that know one language and want to learn the other • Supplies slides useful for teaching and learning either software on a companion website Python for R Users: A Data Science Approach is a valuable working resource for computer scientists and data scientists that know R and would like to learn Python or are familiar with Python and want to learn R. It also functions as textbook for students of computer science and statistics. A. Ohri is the founder of Decisionstats.com and currently works as a senior data scientist. He has advised multiple startups in analytics off-shoring, analytics services, and analytics education, as well as using social media to enhance buzz for analytics products. Mr. Ohri's research interests include spreading open source analytics, analyzing social media manipulation with mechanism design, simpler interfaces for cloud computing, investigating climate change and knowledge flows. His other books include R for Business Analytics and R for Cloud Computing.

Download or read book Text Processing in Python written by David Mertz and published by Addison-Wesley Professional. This book was released on 2003 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: bull; Demonstrates how Python is the perfect language for text-processing functions. bull; Provides practical pointers and tips that emphasize efficient, flexible, and maintainable approaches to text-processing challenges. bull; Helps programmers develop solutions for dealing with the increasing amounts of data with which we are all inundated.

Download or read book Python in High School written by Arnaud Bodin and published by . This book was released on 2020-03-10 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python is the ideal language to learn programming. It is a powerful language that will immerse you in the world of algorithms. This book guides you step by step through original mathematical and computer activities adapted to high school. It is complemented by online resources: all the Python codes and colourful chapters. You have everything you need to succeed!* Hello world! * Turtle (Scratch with Python) * If ... then ... * Functions * Arithmetic - While loop - I * Strings - Analysis of a text * Lists I * Statistics - Data visualization * Files * Arithmetic - While loop - II * Binary I * Lists II * Binary II * Probabilities - Parrondo's paradox * Find and replace * Polish calculator - Stacks * Text viewer -Markdown * L-systems * Dynamic images * Game of life * Ramsey graphs and combinatorics * Bitcoin * Random blocks *

Download or read book Solidity Programming Essentials written by Ritesh Modi and published by Packt Publishing Ltd. This book was released on 2018-04-20 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the most powerful and primary programming language for writing smart contracts and find out how to write, deploy, and test smart contracts in Ethereum. Key Features Get you up and running with Solidity Programming language Build Ethereum Smart Contracts with Solidity as your scripting language Learn to test and deploy the smart contract to your private Blockchain Book Description Solidity is a contract-oriented language whose syntax is highly influenced by JavaScript, and is designed to compile code for the Ethereum Virtual Machine. Solidity Programming Essentials will be your guide to understanding Solidity programming to build smart contracts for Ethereum and blockchain from ground-up. We begin with a brief run-through of blockchain, Ethereum, and their most important concepts or components. You will learn how to install all the necessary tools to write, test, and debug Solidity contracts on Ethereum. Then, you will explore the layout of a Solidity source file and work with the different data types. The next set of recipes will help you work with operators, control structures, and data structures while building your smart contracts. We take you through function calls, return types, function modifers, and recipes in object-oriented programming with Solidity. Learn all you can on event logging and exception handling, as well as testing and debugging smart contracts. By the end of this book, you will be able to write, deploy, and test smart contracts in Ethereum. This book will bring forth the essence of writing contracts using Solidity and also help you develop Solidity skills in no time. What you will learn Learn the basics and foundational concepts of Solidity and Ethereum Explore the Solidity language and its uniqueness in depth Create new accounts and submit transactions to blockchain Get to know the complete language in detail to write smart contracts Learn about major tools to develop and deploy smart contracts Write defensive code using exception handling and error checking Understand Truffle basics and the debugging process Who this book is for This book is for anyone who would like to get started with Solidity Programming for developing an Ethereum smart contract. No prior knowledge of EVM is required.

Download or read book Python Essential Reference written by David M Beazley and published by Addison-Wesley Professional. This book was released on 2009-06-29 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python Essential Reference is the definitive reference guide to the Python programming language — the one authoritative handbook that reliably untangles and explains both the core Python language and the most essential parts of the Python library. Designed for the professional programmer, the book is concise, to the point, and highly accessible. It also includes detailed information on the Python library and many advanced subjects that is not available in either the official Python documentation or any other single reference source. Thoroughly updated to reflect the significant new programming language features and library modules that have been introduced in Python 2.6 and Python 3, the fourth edition of Python Essential Reference is the definitive guide for programmers who need to modernize existing Python code or who are planning an eventual migration to Python 3. Programmers starting a new Python project will find detailed coverage of contemporary Python programming idioms. This fourth edition of Python Essential Reference features numerous improvements, additions, and updates: Coverage of new language features, libraries, and modules Practical coverage of Python's more advanced features including generators, coroutines, closures, metaclasses, and decorators Expanded coverage of library modules related to concurrent programming including threads, subprocesses, and the new multiprocessing module Up-to-the-minute coverage of how to use Python 2.6’s forward compatibility mode to evaluate code for Python 3 compatibility Improved organization for even faster answers and better usability Updates to reflect modern Python programming style and idioms Updated and improved example code Deep coverage of low-level system and networking library modules — including options not covered in the standard documentation

Download or read book Meet Me in Paradise written by Libby Hubscher and published by Penguin. This book was released on 2021-03-23 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marin Cole has never: Seen the ocean Climbed a mountain Taken a risk on love ....But if her sister's plan works, she just might do all three. Ever since her journalist mother died on assignment, Marin has played it safe, refusing to set foot outside the state of Tennessee. Her wild-child younger sister, Sadie, has trotted the globe as a photographer, living off of art and adrenaline. When Sadie returns from a tough assignment abroad and looks a little worse for wear, Marin reluctantly agrees to a sisters' spa weekend on the tropical island of Saba. But her lifelong fear of travel is affirmed when Sadie misses the flight, Marin's luggage gets mixed up with another passenger's, and an episode of turbulence sends her hurtling into the lap of Lucas Tsai, the handsome stranger who stole her sister's seat. For the first time in a long time, Marin has to step outside of her comfort zone as she explores the island with Lucas and learns what she's been missing out on. With each breathtaking new experience, Marin gets closer to her real self, the man she’s falling for, and the heart-wrenching truth about why she’s there in the first place.

Download or read book 40 Algorithms Every Programmer Should Know written by Imran Ahmad and published by Packt Publishing Ltd. This book was released on 2020-06-12 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental algorithms, such as sorting and searching, to modern algorithms used in machine learning and cryptography Key Features Learn the techniques you need to know to design algorithms for solving complex problems Become familiar with neural networks and deep learning techniques Explore different types of algorithms and choose the right data structures for their optimal implementation Book DescriptionAlgorithms have always played an important role in both the science and practice of computing. Beyond traditional computing, the ability to use algorithms to solve real-world problems is an important skill that any developer or programmer must have. This book will help you not only to develop the skills to select and use an algorithm to solve real-world problems but also to understand how it works. You’ll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, such as searching and sorting, with the help of practical examples. As you advance to a more complex set of algorithms, you'll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms, understanding the math and logic behind them. Further on, case studies such as weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. Finally, you’ll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.What you will learn Explore existing data structures and algorithms found in Python libraries Implement graph algorithms for fraud detection using network analysis Work with machine learning algorithms to cluster similar tweets and process Twitter data in real time Predict the weather using supervised learning algorithms Use neural networks for object detection Create a recommendation engine that suggests relevant movies to subscribers Implement foolproof security using symmetric and asymmetric encryption on Google Cloud Platform (GCP) Who this book is for This book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code. Whether you are a beginner looking to learn the most commonly used algorithms in a clear and concise way or an experienced programmer looking to explore cutting-edge algorithms in data science, machine learning, and cryptography, you'll find this book useful. Although Python programming experience is a must, knowledge of data science will be helpful but not necessary.