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Certified Associate in Python Programming certification focuses on the Object-Oriented Programming approach to Python, and shows that the individual is familiar with the more advanced aspects of programming, including the essentials of OOP, the essentials of modules and packages, the exception handling mechanism in OOP, advanced operations on strings, list comprehensions, lambdas, generators, closures, and file processing. PCAP certification gives its holders confidence in their programming skills, helps them stand out in the job market, and gives them a head start on preparing for and advancing to the professional level. Certified Associate in Python Programming certification is a professional, high-stakes credential that measures the candidate's ability to perform intermediate-level coding tasks in the Python language, including the ability to design, develop, debug, execute, and refactor multi-module Python programs, as well as measures their skills and knowledge related to analyzing and modeling real-life problems in OOP categories with the use of the fundamental notions and techniques available in the object-oriented approach. The PCAP certification shows that the individual is familiar with the following concepts: modules, packages, and PIP, character encoding, strings and string processing, generators, iterators, closures, files, file streams, and file processing, exception hierarchies, and exception classes and objects, working with selected Standard Library modules, and the fundamentals of the Object-Oriented Programming (OOP) approach. PCAP: Exam Information Exam Duration: 65 minutes, NDA/Tutorial: 10 minutes Number of Questions : 40 Format : single- and multiple-select questions Python 3.x Passing score: 70% Language: English
PCAP Certified Associate in Python Programming Certification is a comprehensive mock exam with emphasis on using the PCAP-31-03 Syllabus as guide on the question topic. The audience should have basic knowledge in Python or have a good grasp on other programming language because this is not a tutorial. All questions are based on individual topics and all topics have been covered. Some of the topics may not be thoroughly covered but each and every topic in the syllabus have a corresponding question with sufficient representation. Exam block #1: Modules and Packages Objectives covered by the block (6 items) import variants; advanced qualifiying for nested modules dir(); sys.path variable math: ceil(), floor(), trunc(), factorial(), hypot(), sqrt(); random: random(), seed(), choice(), sample() platform: platform(), machine(), processor(), system(), version(), python_implementation(), python_version_tuple() idea, __pycache__, __name__, public variables, __init__.py searching for modules/packages; nested packages vs directory tree Exam block #2: Exceptions Objectives covered by the block (5 items) except, except:-except; except:-else:, except (e1,e2) the hierarchy of exceptions raise, raise ex, assert event classes, except E as e, arg property self-defined exceptions, defining and using Exam block #3: Strings Objectives covered by the block (8 items) ASCII, UNICODE, UTF-8, codepoints, escape sequences ord(), chr(), literals indexing, slicing, immutability iterating through, concatenating, multiplying, comparing (against strings and numbers) in, not in .isxxx(), .join(), .split() .sort(), sorted(), .index(), .find(), .rfind() Exam block #4: Object-Oriented Programming Objectives covered by the block (12 items) ideas: class, object, property, method, encapsulation, inheritance, grammar vs class, superclass, subclass instance vs class variables: declaring, initializing __dict__ property (objects vs classes) private components (instance vs classes), name mangling methods: declaring, using, self parameter instrospection: hasattr() (objects vs classes), __name__, __module__, __bases__ properties inheritance: single, multiple, isinstance(), overriding, not is and is operators constructors: declaring and invoking polymorphism __name__, __module__, __bases__ properties, __str__() method multiple inheritance, diamonds Exam block #5: Miscellaneous (List Comprehensions, Lambdas, Closures, and I/O Operations) Objectives covered by the block (4 items) list comprehension: if operator, using list comprehensions lambdas: defining and using lambdas, self-defined functions taking lambda as as arguments; map(), filter(); closures: meaning, defining, and using closures I/O Operations: I/O modes, predefined streams, handles; text/binary modes open(), errno and its values; close() .read(), .write(), .readline(); readlines() (along with bytearray()) Bonus block Objectives covered by the block (1 item) Uncategorized topics from PCAP-31-01, PCAP-31-02 and PCAP-NP-31-02 Questions in the Practice tests are much more difficult than what is included in the Certified Associate in Python Programming Certification. I recommend doing hands-on to test the validity of the answers and emphasize on the importance of coding different permutations and combinations on the examples given. All questions are self-explanatory and it will be easier to understand if the code is run on IDLE or the user's preferred Python IDE.
PCEP - Certified Entry-Level Python Programmer certification is a professional credential that measures your ability to accomplish coding tasks related to the essentials of programming in the Python language. A test candidate should demonstrate sufficient knowledge of the universal concepts of computer programming, the syntax and semantics of the Python language as well as the skills in resolving typical implementation challenges with the help of the Python Standard Library.
This book is designed to help you to Pass your PCAP Exam from the 1st try, and get your Certification in the easiest way.The PCAP - Certified Associate in Python Programming certification is a professional credential that measures your ability to accomplish coding tasks related to the basics of programming in the Python language and the fundamental notions and techniques used in object-oriented programming.
PCAP - Certified Associate in Python Programming certification is a professional credential that measures your ability to accomplish coding tasks related to the basics of programming in the Python language and the fundamental notions and techniques used in object-oriented programming. firewalls.It is especially useful for those leading or participating in projects. Preparing for the PCAP - Certified Associate in Python Programming certification exam? Here we have brought Best Exam Questions for you so that you can prepare well for this Exam of PCAP. Unlike other online simulation practice tests, you get a eBook version that is easy to read & remember these questions. You can simply rely on these questions for successfully certifying this exam.
Immerse yourself in some of the more advanced Python concepts, master Object-Oriented Programming, and gear up for the prestigious PCAP™ – Certified Associate Python Programmer certification. By the end of this book, you'll be equipped with the expertise to carry out more sophisticated Software Development, Security, Networking, IoT, and engineering roles. Additionally, this book will prepare you to tackle the PCAP qualification exam and take your programming skills to the next level. Being PCAP qualified means that both employers and your fellow programmers will be able to recognize your programming aptitude and rely on you to get jobs done. Python Essentials 2 takes you through some of the more advanced Python concepts and arms you with skills such as: Algorithmic and Analytical Thinking, to help you design and create your own applications Multi-Module Application Development and Debugging, to ensure that your coding skills are second-to-none Best Programming Practices of Python Professionals Solutions Architecture, so that you can successfully scale up your projects, collaborate with other programmers, and consistently deliver high-performing code Object-Oriented Programming, to ensure that your software is robust and adheres to the latest industry standards. This book builds upon your knowledge from Python Essentials 1, covering advanced techniques such as modules, packages, exceptions, file processing, and object-oriented programming. By learning these skills, you will become a proficient Python programmer and a valued member of the Python Programming Community, well-equipped to handle complex projects and codebases. With 24 chapters split into four parts, 22 lab exercises with hints and sample solutions and 23 quizzes, this book sets you on the path to becoming a certified python programmer. Elevate your coding prowess for future success; embark on your next Python journey now.
The Official (ISC)2 Guide to the CISSP-ISSEP CBK provides an inclusive analysis of all of the topics covered on the newly created CISSP-ISSEP Common Body of Knowledge. The first fully comprehensive guide to the CISSP-ISSEP CBK, this book promotes understanding of the four ISSEP domains: Information Systems Security Engineering (ISSE); Certifica
Learn Python Quickly, A Programmer-Friendly Guide Key features Strengthens the foundations, as detailed explanation of programming language concepts are given. Lists down all important points that you need to know related to various topics in an organized manner. Prepares you for coding related interview and theoretical questions. Provides In depth explanation of complex topics and Questions. Focuses on how to think logically to solve a problem. Follows systematic approach that will help you to prepare for an interview in short duration of time. Description Most Programmer's learning Python are usually comfortable with some or the other programming language and are not interested in going through the typical learning curve of learning the first programming language. Instead, they are looking for something that can get them off the ground quickly. They are looking for similarities and differences in a feature that they have used in other language(s). This book should help them immediately. It guides you from the fundamentals of using module through the use of advanced object orientation. What will you learn Data types, Control flow instructions, console & File Input/Output Strings, list & tuples, List comprehension Sets & Dictionaries, Functions & Lambdas Dictionary Comprehension Modules, classes and objects, Inheritance Operator overloading, Exception handling Iterators & Generators, Decorators, Command-line Parsing Who this book is forStudents, Programmers, researchers, and software developers who wish to learn the basics of Python programming language. Table of contents1. Introduction to Python2. Python Basics3. Strings4. Control Flow Instructions5. Console Input/Output6. Lists7. Tuples8. Sets9. Dictionaries10. Functions11. Modules12. Classes and Objects13. Intricacies of Classes and Objects14. Inheritance15. Exception Handling16. File Input/Output17. MiscellanyAbout the authorYashavant KanetkarThrough his books and Quest Video Courses on C, C++, Java, Python, Data Structures, .NET, IoT, etc. Yashavant Kanetkar has created, moulded and groomed lacs of IT careers in the last three decades. Yashavant's books and Quest videos have made a significant contribution in creating top-notch IT manpower in India and abroad. Yashavant's books are globally recognized and millions of students / professionals have benefitted from them. Yashavant's books have been translated into Hindi, Gujarati, Japanese, Korean and Chinese languages. Many of his books are published in India, USA, Japan, Singapore, Korea and China. Yashavant is a much sought after speaker in the IT field and has conducted seminars/workshops at TedEx, IITs, IIITs, NITs and global software companies. Yashavant has been honored with the prestigious "e;Distinguished Alumnus Award"e; by IIT Kanpur for his entrepreneurial, professional and academic excellence. This award was given to top 50 alumni of IIT Kanpur who have made significant contribution towards their profession and betterment of society in the last 50 years. In recognition of his immense contribution to IT education in India, he has been awarded the "e;Best .NET Technical Contributor"e; and "e;Most Valuable Professional"e; awards by Microsoft for 5 successive years. Yashavant holds a BE from VJTI Mumbai and M.Tech. from IIT Kanpur. Yadhavant's current affiliations include being a Director of KICIT Pvt Ltd. And KSET Pvt Ltd. His Linkedin profile: linkedin.com/in/yashavant-kanetkar-9775255 Aditya Kanetkar holds a Master's Degree in Computer Science from Georgia Tech, Atlanta. Prior to that, he completed his Bachelor's Degree in Computer Science and Engineering from IIT Guwahati. Aditya started his professional career as a Software Engineer at Oracle America Inc. at Redwood City, California. Currently he works with Microsoft Corp., USA. Aditya is a very keen programmer since his intern fays at Redfin, Amazon Inc. and Arista Networks. His current passion is anything remotely connected to Python, Machine Learning and C# related technologies. His Linkedin Profile: linkedin.com/in/aditya-kanetkar-a4292397
Violent Python shows you how to move from a theoretical understanding of offensive computing concepts to a practical implementation. Instead of relying on another attacker's tools, this book will teach you to forge your own weapons using the Python programming language. This book demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts. It also shows how to write code to intercept and analyze network traffic using Python, craft and spoof wireless frames to attack wireless and Bluetooth devices, and how to data-mine popular social media websites and evade modern anti-virus. - Demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts - Write code to intercept and analyze network traffic using Python. Craft and spoof wireless frames to attack wireless and Bluetooth devices - Data-mine popular social media websites and evade modern anti-virus
Python programmers will improve their computer science skills with these useful one-liners. Python One-Liners will teach you how to read and write "one-liners": concise statements of useful functionality packed into a single line of code. You'll learn how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert. The book's five chapters cover tips and tricks, regular expressions, machine learning, core data science topics, and useful algorithms. Detailed explanations of one-liners introduce key computer science concepts and boost your coding and analytical skills. You'll learn about advanced Python features such as list comprehension, slicing, lambda functions, regular expressions, map and reduce functions, and slice assignments. You'll also learn how to: • Leverage data structures to solve real-world problems, like using Boolean indexing to find cities with above-average pollution • Use NumPy basics such as array, shape, axis, type, broadcasting, advanced indexing, slicing, sorting, searching, aggregating, and statistics • Calculate basic statistics of multidimensional data arrays and the K-Means algorithms for unsupervised learning • Create more advanced regular expressions using grouping and named groups, negative lookaheads, escaped characters, whitespaces, character sets (and negative characters sets), and greedy/nongreedy operators • Understand a wide range of computer science topics, including anagrams, palindromes, supersets, permutations, factorials, prime numbers, Fibonacci numbers, obfuscation, searching, and algorithmic sorting By the end of the book, you'll know how to write Python at its most refined, and create concise, beautiful pieces of "Python art" in merely a single line.