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This intermediate-level course builds directly on Python Hacking fundamentals, guiding learners from coding essentials to practical cipher cracking. Students begin by strengthening programming foundations—creating utilities, handling strings, and managing files—before applying mathematical concepts like the Greatest Common Divisor (GCD) and modular inverses to break multiplicative and affine ciphers. Finally, learners will tackle substitution cipher secrets, leveraging digraphs, trigraphs, and word-pattern analysis.

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This intermediate-level course builds directly on Python Hacking fundamentals, guiding learners from coding essentials to practical cipher cracking. Students begin by strengthening programming foundations—creating utilities, handling strings, and managing files—before applying mathematical concepts like the Greatest Common Divisor (GCD) and modular inverses to break multiplicative and affine ciphers. Finally, learners will tackle substitution cipher secrets, leveraging digraphs, trigraphs, and word-pattern analysis.

What makes this course unique is its blend of theory and hands-on practice. Instead of abstract explanations, every concept is implemented in Python step by step, ensuring learners gain both practical coding skills and cryptographic insight. With quizzes, graded exercises, and structured modules, this course transforms abstract cryptography into applied problem-solving—ideal for aspiring cybersecurity professionals, ethical hackers, and Python enthusiasts looking to level up their skills.

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What's inside

Syllabus

Cracking the Foundations
This module introduces learners to the essential coding practices in Python for cryptography, focusing on building a strong foundation in program structure, logic, and utility creation. Students will explore how to verify English text, decompose code into functions, and apply basic text and file operations to support cryptographic applications.
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Learners who complete Python Cryptography: Analyze & Break Ciphers will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python Cryptography: Analyze & Break Ciphers.
This advanced textbook explores the advanced topics in modular number theory, such as elliptic curves and cryptography. It is suitable for graduate students and researchers seeking a deep understanding of the subject.
Is an excellent starting point for anyone new to Python or programming in general. It covers fundamental programming concepts and Python basics with a hands-on, project-based approach, making it very practical for beginners. The third edition is updated to cover newer Python versions and is widely recommended for its clear explanations and engaging projects. It's often used as an introductory textbook.
Provides a comprehensive overview of cybersecurity, covering the threats, risks, and challenges facing governments and businesses. It is written by two former Secretaries of Homeland Security and provides insights from their experience in leading the nation's cybersecurity efforts.
A comprehensive guide to ethical hacking, covering advanced techniques and methodologies used by professional penetration testers.
Considered a standard textbook for introductory cryptography courses at the undergraduate and graduate levels. provides a rigorous theoretical foundation with an emphasis on formal definitions and proofs of security. It's essential for students seeking a deep understanding of cryptographic principles.
Is an excellent starting point for high school students and undergraduates new to number theory. It introduces fundamental concepts like prime numbers, congruences, and Diophantine equations in an accessible and engaging way with numerous examples. It's widely used as a textbook and is great for solidifying basic understanding before moving to more rigorous texts.
Considered a standard graduate text in algebraic number theory, this book provides a comprehensive and modern treatment of the subject. It's crucial for students specializing in this area and serves as an excellent reference for researchers.
Ideal for beginners who want to quickly apply Python to practical tasks. focuses on using Python to automate everyday computer tasks, such as working with files, web scraping, and sending emails. It assumes no prior programming experience and is highly regarded for its clear, step-by-step instructions and focus on immediate productivity gains. The second edition widely used and practical resource.
Provides a practical introduction to modern cryptography with a focus on real-world applications and implementation pitfalls. It is suitable for undergraduate students and working professionals, particularly those with a programming background. It covers essential concepts and valuable reference for understanding how cryptographic primitives are used securely.
Focuses on the practical aspects of designing and implementing secure cryptographic systems. It's an excellent resource for software engineers and system architects, bridging the gap between theoretical cryptography and real-world deployment. It highlights common pitfalls and provides guidance on building secure systems.
A practical guide to implementing security best practices, covering a wide range of topics from network security to incident response.
Is highly recommended for intermediate to advanced Python programmers looking to write more idiomatic and efficient code. It explores Python's often-overlooked features and best practices, delving into topics like data structures, the Python data model, and metaprogramming. It's a valuable resource for deepening understanding and is considered a must-read for those aiming for mastery.
Delves into the principles, algorithms, and applications of frequency analysis in natural language processing, offering a comprehensive treatment of the subject.
A comprehensive and advanced graduate textbook covering modern analytic number theory. This key reference for researchers and students specializing in this area, providing deep insights and covering a wide range of topics.
Focuses on the cryptography used in real-world systems and applications. It's a practical guide for developers and security professionals, covering topics like TLS, cryptocurrencies, and secure messaging. It provides insights into how cryptographic concepts are applied in practice.
Provides a practical guide to cybersecurity for businesses. It covers a wide range of topics, including risk assessment, threat intelligence, and incident response. It is written by a cybersecurity expert with over 15 years of experience.
A comprehensive and popular textbook for undergraduates, this book covers a wide range of topics in elementary number theory, including cryptography and primality testing. Its clear exposition and wealth of exercises make it highly effective for solidifying understanding and it is frequently used in academic settings.
This advanced textbook explores the connections between modular forms and Fermat's Last Theorem. It provides a detailed treatment of the subject, suitable for graduate students and researchers in number theory.
A comprehensive guide to penetration testing, with a focus on practical techniques and real-world scenarios.
A comprehensive textbook on computer security, covering fundamental concepts, cryptography, and ethical hacking.
An excellent introduction to elliptic curves, a topic of major importance in modern number theory and cryptography. Suitable for advanced undergraduates and beginning graduate students, this book is crucial for understanding contemporary research areas.
Key resource for understanding the emerging field of post-quantum cryptography, which focuses on cryptographic algorithms resistant to attacks by quantum computers. It is suitable for graduate students and researchers interested in contemporary cryptographic challenges.
Provides a practical introduction to machine learning using Python and the scikit-learn library. It's ideal for Python programmers interested in entering the field of machine learning and data science. It covers essential concepts and provides hands-on examples.
A classic and comprehensive survey of cryptographic protocols and algorithms. While some of the algorithms covered may be outdated for current implementation, this book remains an invaluable reference for understanding the breadth of cryptography and its historical development. It's particularly useful for those interested in the practical application of cryptography.
A classic graduate textbook covering the basic material of classical algebraic and analytic number theory. While challenging, it provides a strong foundation for advanced topics and valuable reference for graduate students and professionals.
Offers a clear and accessible introduction to modern cryptography, suitable for undergraduate students. It focuses on the fundamental concepts and provides a good balance between theory and practical examples.
Bridges the gap between elementary and advanced number theory, making it suitable for strong undergraduates and graduate students. It covers a wide array of topics, including algebraic number theory and modular forms, providing a solid foundation for more contemporary areas.
A widely used and comprehensive textbook for undergraduate number theory courses. It covers a broad range of topics with rigor and clarity, making it excellent for gaining a solid understanding and providing a good foundation for further study.
A practical guide to ethical hacking, focusing on the tools and techniques used by white hat hackers.
Offers a collection of tips and tricks to help intermediate Python developers write more professional and Pythonic code. It provides concise explanations and practical examples of various Python features, making it a useful resource for leveling up coding skills and discovering best practices.
This advanced textbook focuses on modular equations and their applications in solving Diophantine equations. It provides a comprehensive treatment of the subject, suitable for graduate students and researchers in number theory.
This classic textbook provides a concise and accessible introduction to number theory, including a chapter on modular arithmetic. It is suitable for undergraduate students and those seeking a broad overview of the subject.
This approachable textbook introduces graduate students to number theory, covering modular arithmetic as a fundamental building block. It emphasizes applications in cryptography and other fields, making it a valuable resource for those interested in practical aspects.
Provides a solid introduction to the theory and practice of cryptography, suitable for advanced undergraduate and graduate students. It covers a wide range of topics and includes a good balance of theoretical concepts and practical algorithms.
Integrates computational aspects with theoretical number theory and algebra, making it highly relevant for students interested in cryptography and computational mathematics. It's suitable for advanced undergraduates and graduate students and is available for free online.
A concise and influential graduate-level text covering fundamental results in number theory, including quadratic forms and modular forms. It's a classic that is essential for students looking to delve into more advanced and abstract areas of the subject.
Considered a monumental classic in number theory, this book offers a vast and deep exploration of the subject, suitable for advanced undergraduates and graduate students. While older, its breadth and rigor make it invaluable for deepening understanding and as a comprehensive reference.
This textbook covers cryptography, which heavily relies on modular arithmetic. It provides an accessible introduction to the subject, suitable for undergraduate students and those seeking an overview of cryptographic techniques.
A well-regarded introduction to algebraic number theory focusing on number fields. is accessible to advanced undergraduates and beginning graduate students and is praised for its clear exposition and problem sets.
This graduate-level book provides a comprehensive introduction to cyclotomic fields, a key area in algebraic number theory with connections to Fermat's Last Theorem. It's essential for students pursuing advanced topics in the field.
A graduate-level text focusing on modular forms and Dirichlet series, key tools in analytic number theory. is essential for students delving deeper into the analytic aspects and their connections to other areas of mathematics.
This guide provides a collection of best practices, development workflows, and recommendations for writing idiomatic Python code. It's a valuable resource for developers who want to follow community conventions and improve their overall Python development process.
Provides a clear introduction to the methods of analytic number theory, suitable for advanced undergraduates and graduate students. It covers topics like Dirichlet series, zeta functions, and the distribution of primes, essential for understanding this branch of number theory.
Focuses on the algorithmic aspects of breaking cryptographic systems. It is suitable for advanced undergraduate and graduate students with a strong algorithmic and mathematical background. It provides insights into the techniques used to analyze the security of cryptographic schemes.
A collection of recipes for common Python programming tasks. is an excellent reference for experienced Python developers looking for practical solutions to a wide range of problems. It covers various domains and provides idiomatic Python code examples.

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