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A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer.
Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems.
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A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code.
With its emphasis on project-based practice, Real World Python will take you from playing with syntax to writing complete programs in no time. You'll conduct experiments, explore statistical concepts, and solve novel problems that have frustrated geniuses throughout history, like detecting distant exoplanets, as you continue to build your Python skills.
Chapters begin with a clearly defined project goal and a discussion of ways to attack the problem, followed by a mission designed to make you think like a programmer. You'll direct a Coast Guard search-and-rescue effort, plot and execute a NASA flight to the moon, protect access to a secure lab using facial recognition, and more.
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English | 2020 | ISBN-13 : 978-1718501027 | 608 Pages | True (PDF, MOBI) | 106 MB
A guide to using the Ghidra software reverse engineering tool suite. The result of more than a decade of research and development within the NSA, the Ghidra platform was developed to address some of the agency's most challenging reverse-engineering problems. With the open-source release of this formerly restricted tool suite, one of the world's most capable disassemblers and intuitive decompilers is now in the hands of cybersecurity defenders everywhere -- and The Ghidra Book is the one and only guide you need to master it. In addition to discussing RE techniques useful in analyzing software and malware of all kinds, the book thoroughly introduces Ghidra's components, features, and unique capacity for group collaboration.
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English | 2020 | ISBN-13 : 978-1718501041 | 272 Pages | True MOBI | 36.01 MB
A detailed introduction to the C programming language for experienced programmers. The world runs on code written in the C programming language, yet most schools begin the curriculum with Python or Java. Effective C bridges this gap and brings C into the modern era--covering the modern C17 Standard as well as potential C2x features. With the aid of this instant classic, you'll soon be writing professional, portable, and secure C programs to power robust systems and solve real-world problems. Robert C. Seacord introduces C and the C Standard Library while addressing best practices, common errors, and open debates in the C community. Developed together with other C Standards committee experts, Effective C will teach you how to debug, test, and analyze C programs. You'll benefit from Seacord's concise explanations of C language constructs and behaviors, and from his 40 years of coding experience.
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English | 2019 | ISBN-13 : 978-1593278670 | 304 Pages | True MOBI | 43.94 MB
Learn math by getting creative with code! Use the Python programming language to transform learning high school-level math topics like algebra, geometry, trigonometry, and calculus! Math Adventures with Python will show you how to harness the power of programming to keep math relevant and fun. With the aid of the Python programming language, you'll learn how to visualize solutions to a range of math problems as you use code to explore key mathematical concepts like algebra, trigonometry, matrices, and cellular automata. Once you've learned the programming basics like loops and variables, you'll write your own programs to solve equations quickly, make cool things like an interactive rainbow grid, and automate tedious tasks like factoring numbers and finding square roots. You'll learn how to write functions to draw and manipulate shapes, create oscillating sine waves, and solve equations graphically.
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English | 2020 | ISBN-13: 978-1718500389 | 656 Pages | True (PDF, MOBI) | 43.37 MB
Thinking Low-Level, Writing High-Level, the second volume in the landmark Write Great Code series by Randall Hyde, covers high-level programming languages (such as Swift and Java) as well as code generation on 64-bit CPUsARM, the Java Virtual Machine, and the Microsoft Common Runtime. Today's programming languages offer productivity and portability, but also make it easy to write sloppy code that isn't optimized for a compiler. Thinking Low-Level, Writing High-Level will teach you to craft source code that results in good machine code once it's run through a compiler.
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English | 2020 | ISBN-13 : 978-1718500808 | 377 Pages | PDF | 3.84 MB
A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Programming is about using a computer to solve problems, and algorithms and data structures are the building blocks of computer programs. For each problem that a programmer wants to solve, they employ an algorithm: a sequence of steps for solving the problem. Many books teach algorithms independently of specific problems, but this book uses careful explanations, examples, and arguments, rather than formal mathematics and proofs which make it difficult for you to connect what you are learning to what you can do with that learning. Algorithmic Thinking: A Problem-Based Introduction teaches you to use the best algorithms and data structures for a given situation by walking you through solving problems pulled from international programming competitions, such as how to determine whether snowflakes are unique; how to win a game in the minimum number of moves; how to find the number of ways to get to someone's house; how to escape a cave in as few steps as possible; and so on.
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English | 2020 | ISBN-13 : 978-1718500624 | 322 Pages | PDF | 53.21 MB
A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code. You've mastered the basics. Now you're ready to explore some of Python's more powerful tools. Real-World Python will show you how. Through a series of hands-on projects, you'll investigate and solve real-world problems using sophisticated computer vision, machine learning, data analysis, and language processing tools. You'll be introduced to important modules like OpenCV, NumPy, Pandas, NLTK, Bokeh, Beautiful Soup, Requests, HoloViews, Tkinter, turtle, matplotlib, and more. You'll create complete, working programs and think through intriguing projects that show you how to..
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