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.
PCEP – Certified Entry-Level Python Programmer Certification is a comprehensive mock exam with emphasis on using the PCEP-30-02 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 260 questions are based on individual topics in the syllabus and all topics have been covered. Each and every topic in the syllabus have a corresponding question with sufficient representation. Exam block #1: Computer Programming and Python Fundamentals (82 questions) Objectives covered by the block (7 exam items) PCEP 1.1 Understand fundamental terms and definitions PCEP 1.2 Understand Python’s logic and structure PCEP 1.3 Introduce literals and variables into code and use different numeral systems PCEP 1.4 Choose operators and data types adequate to the problem PCEP 1.5 Perform Input/Output console operations Exam block #2: Control Flow – Conditional Blocks and Loops (37 questions) Objectives covered by the block (8 exam items) PCEP 2.1 Make decisions and branch the flow with the if instruction PCEP 2.2 Perform different types of iterations Exam block #3: Data Collections – Tuples, Dictionaries, Lists, and Strings (75 questions) Objectives covered by the block (7 exam items) PCEP 3.1 Collect and process data using lists PCEP 3.2 Collect and process data using tuples PCEP 3.3 Collect and process data using dictionaries PCEP 3.4 Operate with strings Exam block #4: Functions and Exceptions (66 questions) Objectives covered by the block (8 exam items) PCEP 4.1 Decompose the code using functions PCEP 4.2 Organize interaction between the function and its environment PCEP 4.3 Python Built-In Exceptions Hierarchy PCEP 4.4 Basics of Python Exception Handling Questions in the Practice tests are much more difficult than what is included in the Certified Entry-Level Python Programmer 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 will be easier to understand if the code is run on IDLE or your favorite Python IDE if you have another preference.
Time-saving, low-cost solutions for self-paced learning or instructor-led training! Developed for health care professionals who provide care to pregnant women and newborns, the Perinatal Continuing Education Program (PCEP) is a comprehensive, self-paced education program in four volumes. Completely updated and revised with leading-edge procedures and techniques, Book III: Neonatal Care, 3rd Edition features 10 units covering information and skills assessment and initial management of frequently encountered neonatal illnesses, plus the comprehensive unit review Is the Baby Sick?, which ties all.
Developed by a distinguished editorial board, the Perinatal Continuing Education Program (PCEP) is a comprehensive, self-paced education program in four volumes. The PCEP workbooks have been significantly revised and brought up-to-date with leading-edge procedures and techniques. The revised volumes are filled with clear explanations, step-by-step skill instruction, and practice-focused exercises. They offer time- saving, low-cost solutions for self-paced learning or as adjuncts to instructor-led skills training. The new Book III 2nd edition features 10 units covering information and skills for assessment and initial management of frequently encountered neonatal illnesses, plus the comprehensive unit Review: Is the Baby Sick?, which ties all neonatal therapies and skills together for management of sick and at-risk newborns. In addition, Preparation for Neonatal Transport presents care for the newborn and for the baby's family.
SRv6 Network Programming, beginning with the challenges for Internet Protocol version 6 (IPv6) network development, describes the background, roadmap design, and implementation of Segment Routing over IPv6 (SRv6), as well as the application of this technology in traditional and emerging services. The book begins with the development of IP technologies by focusing on the problems encountered during MPLS and IPv6 network development, giving readers insights into the problems tackled by SRv6 and the value of SRv6. It then goes on to explain SRv6 fundamentals, including SRv6 packet header design, the packet forwarding process, protocol extensions such as Interior Gateway Protocol (IGP), Border Gateway Protocol (BGP), and Path Computation Element Protocol (PCEP) extensions, and how SRv6 supports existing traffic engineering (TE), virtual private networks (VPN), and reliability requirements. Next, SRv6 network deployment is introduced, covering the evolution paths from existing networks to SRv6 networks, SRv6 network deployment processes, involved O&M technologies, and emerging 5G and cloud services supported by SRv6. Bit Index Explicit Replication IPv6 encapsulation (BIERv6), an SRv6 multicast technology, is then introduced as an important supplement to SRv6 unicast technology. The book concludes with a summary of the current status of the SRv6 industry and provides an outlook for new SRv6-based technologies. SRv6 Network Programming: Ushering in a New Era of IP Networks collects the research results of Huawei SRv6 experts and reflects the latest development direction of SRv6. With rich, clear, practical, and easy-to-understand content, the volume is intended for network planning engineers, technical support engineers and network administrators who need a grasp of the most cutting-edge IP network technology. It is also intended for communications network researchers in scientific research institutions and universities. Authors: Zhenbin Li is the Chief Protocol Expert of Huawei and member of the IETF IAB, responsible for IP protocol research and standards promotion at Huawei. Zhibo Hu is a Senior Huawei Expert in SR and IGP, responsible for SR and IGP planning and innovation. Cheng Li is a Huawei Senior Pre-research Engineer and IP standards representative, responsible for Huawei's SRv6 research and standardization.
Unlock the power of Python with this comprehensive guide, “Python and Algorithmic Thinking for the Complete Beginner.” It covers everything from computer basics to advanced decision and loop control structures. Key Features Comprehensive coverage from basic computer operations to advanced programming concepts Step-by-step progression of each topic, along with tips and tricks to enhance coding efficiency In-depth exploration of Python and algorithmic thinking with exercises and practical examples Book DescriptionThis course is meticulously designed to take beginners on a journey through the fascinating world of Python programming and algorithmic thinking. The initial chapters lay a strong foundation, starting with the basics of how computers operate, moving into Python programming, and familiarizing learners with integrated development environments like IDLE and Visual Studio Code. Further, the course delves into essential programming constructs such as variables, constants, input/output handling, and operators. You'll gain practical experience with trace tables, sequence control structures, and decision control structures through comprehensive exercises and examples. The curriculum emphasizes hands-on learning with chapters dedicated to manipulating numbers, strings, and understanding complex mathematical expressions. By mastering these concepts, you'll be well-prepared to tackle more advanced topics. The final chapters introduce you to object-oriented programming and file manipulation, rounding out your skill set. Throughout the course, practical tips and tricks are provided to enhance your coding efficiency and problem-solving skills. By the end of this course, you will have a robust understanding of Python programming and the ability to apply algorithmic thinking to solve real-world problems.What you will learn Understand how computers work and the basics of Python programming Install and use integrated development environments (IDEs) Develop skills in decision and loop control structures Manipulate data using lists, dictionaries, and strings Apply algorithmic thinking to solve complex problems Gain proficiency in object-oriented programming & file manipulation Who this book is for This course is ideal for absolute beginners with no prior programming experience. Basic computer literacy is required, but no specific knowledge of programming or algorithms is necessary. It is also suitable for individuals looking to refresh their Python skills and enhance their understanding of algorithmic thinking. High school and college students interested in programming, professionals seeking to upskill, and hobbyists eager to learn a new programming language will all find value in this course.
Modernize and optimize network management with APIs and automation Legacy network management approaches don't scale adequately and can't be automated well. This guide will help meet tomorrow's challenges by adopting network programmability based on Application Programming Interfaces (APIs). Using these techniques, you can improve efficiency, reliability, and flexibility; simplify implementation of high-value technologies; automate routine administrative and security tasks; and deploy services far more rapidly. Four expert authors help you transition from a legacy mindset to one based on solving problems with software. They explore today's emerging network programmability and automation ecosystem; introduce each leading programmable interface; and review the protocols, tools, techniques, and technologies that underlie network programmability. You'll master key concepts through hands-on examples you can run using Linux, Python, Cisco DevNet sandboxes, and other easily accessible tools. This guide is for all network architects, engineers, operations, and software professionals who want to integrate programmability into their networks. It offers valuable background for Cisco DevNet certification—and skills you can use with any platform, whether you have software development experience or not. Master core concepts and explore the network programmability stack Manage network software and run automation scripts in Linux environments Solve real problems with Python and its Napalm and Nornir automation frameworks Make the most of the HTTP protocol, REST architectural framework, and SSH Encode your data with XML, JSON, or YAML Understand and build data models using YANG that offer a foundation for model-based network programming Leverage modern network management protocols, from gRPC and gNMI to NETCONF and RESTCONF Meet stringent service provider KPIs in large-scale, fast-changing networks Program Cisco devices running IOS XE, IOS XR, and NX-OS as well as Meraki, DNA Center, and Webex platforms Program non-Cisco platforms such as Cumulus Linux and Arista EOS Go from “zero to hero” with Ansible network automation Plan your next steps with more advanced tools and technologies
This book constitutes the proceedings of the 6th International ICST Conference, TridentCom 2010, held in Berlin, Germany, in May 2010. Out of more than 100 submitted contributions the Program Committee finally selected 15 full papers, 26 practices papers, and 22 posters. They focus on topics as Internet testbeds, future Internet research, wireless sensors, media and mobility, and monitoring in large scale testbeds.
