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Covers Data Science concepts, processes, and the real-world hands-on use cases. Key Features -Covers the journey from a basic programmer to an effective Data Science developer. -Applied use of Data Science native processes like CRISP-DM and Microsoft TDSP. -Implementation of MLOps using Microsoft Azure DevOps. Description "How is the Data Science project to be implemented?" has never been more conceptually sounding, thanks to the work presented in this book. This book provides an in-depth look at the current state of the world's data and how Data Science plays a pivotal role in everything we do. This book explains and implements the entire Data Science lifecycle using well-known data science processes like CRISP-DM and Microsoft TDSP. The book explains the significance of these processes in connection with the high failure rate of Data Science projects. The book helps build a solid foundation in Data Science concepts and related frameworks. It teaches how to implement real-world use cases using data from the HMDA dataset. It explains Azure ML Service architecture, its capabilities, and implementation to the DS team, who will then be prepared to implement MLOps. The book also explains how to use Azure DevOps to make the process repeatable while we're at it. By the end of this book, you will learn strong Python coding skills, gain a firm grasp of concepts such as feature engineering, create insightful visualizations and become acquainted with techniques for building machine learning models. What you will learn -Organize Data Science projects using CRISP-DM and Microsoft TDSP. -Learn to acquire and explore data using Python visualizations. -Get well versed with the implementation of data pre-processing and Feature Engineering. -Understand algorithm selection, model development, and model evaluation. -Hands-on with Azure ML Service, its architecture, and capabilities. -Learn to use Azure ML SDK and MLOps for implementing real-world use cases. Who this book is for This book is intended for programmers who wish to pursue AI/ML development and build a solid conceptual foundation and familiarity with related processes and frameworks. Additionally, this book is an excellent resource for Software Architects and Managers involved in the design and delivery of Data Science-based solutions. Table of Contents 1. Data Science for Business 2. Data Science Project Methodologies and Team Processes 3. Business Understanding and Its Data Landscape 4. Acquire, Explore, and Analyze Data 5. Pre-processing and Preparing Data 6. Developing a Machine Learning Model 7. Lap Around Azure ML Service 8. Deploying and Managing Models
Master python programming language in easy steps Key Features Start from basics of Python Control statement, loop structure, break, continue, and pass statement Detailed description of Python data types: string, tuple, list, and dictionary with the help of example Organizing code using function, modules, and packages Saving text and complex data in text, pickle, and JSON files Learn the use of time and time zones Parallel execution with the help of threading, multiprocessing, and subprocessing Helpful modules for industry Description It is said that learning Python is easy, but if a learner did not get the right path, then things can get complicated. This book is designed in such a way that you start from basics, followed by advance levels and then move on to some industry-related modules. The initial chapters are written in a simple manner, some chapters are of advance level. Start from the data structure of Python, such as string, list, tuple, and dictionary. The function and module chapter will let you know how to organize a large code. The built-in functions and modules like collections will give you greater flexibility to write efficient codes. The "time" chapter is very important when we deal with time-related things. The mid-chapter contains the advance chapters such as regular expressions, interaction with OS, and multithreading. These chapters are helpful when we want to search the pattern, run the OS commands, and execute the program in parallel. The last chapters are specially designed from an industry point of view. In order to ensure a high quality of code, we use config-parser to avoid hard-coding and logger to log the events. In the multiprocessing and subprocess chapter, you will learn creation, execution, and communication between the processes. What will you learn Python for developers is created by taking beginner and intermediate programmers. The book starts from scratch and takes you to the advanced level. After learning advance levels, you will learn parallel programming using multithreading, multiprocessing, and sub-processing. The book will provide information on modules which will be helpful form industry perspective. The book also contains the question for the preparation of the interview. You will also learn the difference between Python 2.7 and Python 3.7. Some of the chapters include an advance part, which will give an in-depth knowledge of the chapters. Who this book is for This book is for whoever wants to learn Python and aspires to become a developer or work on projects. Beginners can read this book easily, however, a little knowledge about the programming concepts would be helpful. Basic knowledge of computers would suffice. Table of Contents 1. Introduction to Python 2. Python Operators 3. Control statements and loop 4. Strings 5. List and tuple 6. Dictionary and sets 7. Functions 8. Modules 9. Exception handling 10. File handling 11. Collection 12. Random modules and built-in function 13. Time 14. Regular expression 15. Operating system interfaces 16. Class 17. Threads 18. Queue 19. Multiprocessing and Subprocess 20. Useful Modules About the Author Mohit (mohitraj.cs@gmail.com) is a Python programmer with a keen interest in the field of information security. He has completed his Bachelor's degree (B.tech)in Computer Science from Kurukshetra University, Kurukshetra, and a Master’s in Engineering (2012) in Computer Science from Thapar University, Patiala. He is a CEH, ECSA from EC-Council USA. He has worked in IBM, Teramatrix (Startup), and Sapient. LinkedIn Profile: https://www.linkedin.com/in/mohit-990a852a/
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 “Python In-Depth” 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. 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.
Concise Interpretation of every essential element of Python with Use-cases Key Features -Numerous examples and solutions to assist beginners in understanding the concept. -Contains visual representations of data structures. -Demonstrations of how to use data structures with a Python implementation. Description This book will aid you in your learning of the Python 3.x programming language. The chapters in this book will benefit every aspect of a programmer's or developer's life by preparing them to solve problems using Python programming and its key data structures and internals. This book explains the built-in and user-defined data structures in Python 3.x. The book begins by introducing Python, its fundamental data structures, and asymptotic notations. Once you master the fundamentals of Python, you'll be able to fully comprehend the built-in data structures. The book covers real-world applications to understand user-defined data structures and their actual implementation. Towards the end, it will help you investigate how to solve practical problems by first comprehending the issue at hand. After reading this book, you will be able to identify data structures and utilize them to solve a specific problem. You will learn about various algorithm implementations in Python and use this knowledge to advance your Python skills. After reading this book you will be able to plan your application’s migration to containers, prepare for Docker and Kubernetes Certifications, or apply for six digit DevOps jobs. What you will learn -Calculate the complexity of time and space using asymptotic notations. -Discover Python 3.x's built-in and user-defined data structures. -Create user-defined data structures from the bottom up. -Make use of libraries to create new user-defined data structures. -Determine and implement the most appropriate data structure for resolving issues. Who this book is for This book caters to those who want to enhance their careers as application developers, machine learning engineers, or researchers. Knowing basic programming concepts will be good, but not mandatory. Table of Contents 1. Python 2. Data Types 3. Algorithm Analysis 4. Data Structure Introduction 5. List 6. Dictionary 7. Tuple 8. Sets 9. Arrays 10. Stack 11. Queue 12. Trees 13. Linked Lists 14. Graphs 15. HashMaps 16. Practical Problem Solutions
A pragmatic guide that will teach you to implement Agile, SCRUM and Kanban in your organization. Key Features Expert-guided techniques for successful Agile transformation in your organization. Solution-focused responses on interview questions of Agile SCRUM, XP, DSDM, KANBAN and SCRUMBAN. Reference guide to prepare for leading PMI-ACP and SAFe Certification exam. Description This book is for businesses that aspire to improve agility, deliver fit-for-purpose products and services, delight customers, and provide the security of long-term survival associated with mature businesses that consistently meet or exceed customer expectations. Learn a lean approach by seeing how Kanban made a difference in four real-world situations. You'll explore how different teams used Kanban to make paradigm-changing improvements in software development. These teams were struggling with overwork, unclear priorities, and a lack of direction. As you discover what worked for them, you'll understand how to make significant changes in real-life situations. The Artefact has been developed as a resource to understand, evaluate, and use Agile and Hybrid Agile approaches. This practice guide will help you understand when, where, and how to apply Agile approaches and provides practical tools for practitioners and organizations wanting to increase agility. What you will learn Explore and learn how to build Organizational Resilience and Enterprise Maturity Model. Step-by-step solutions to implement Portfolio Kanban and Upstream Kanban. Deep dive into Agile SHIFT framework and Hybrid Agile framework. Exciting case studies and practical demonstrations on Agile SCRUM & KANBAN. Expert-ready guidance on overcoming common Agile project management misconceptions. Who this book is for This book is appealing to decision makers, product owners, project team members who can make use of this guide in improvising the productivity and efficient management of business operations without much of hassle. Table of Contents 1. Key success factors for adopting Agile SCRUM Kanban in any organization 2. Lessons learnt and pragmatic approach – Agile Scrum Kanban 3. Tricky real-world Agile SCRUM & KANBAN case studies, demos and tools 4. Agile SCRUM KANBAN Maturity assessment Nuts & Bolts 5. Useful tips & techniques for successful Agile transformation in any organization and the art of Agile development 6. Use of Agile for students and parents 7. Common Agile SCRUM KANBAN misconceptions 8. Key takeaways 9. Interview questions and answers on Agile SCRUM KANBAN 10. Glossary 11. Quiz session 12. Test your knowledge About the Authors Sudipta Malakar is an accomplished SAP practice area head, Certified IT Sr. program manager, Agile coach – Advanced level, Harvard Business School, USA, alumnus, patent holder, and an International bestselling author & speaker with more than 17 years of experience in directing SAP DEV teams in supporting many major Global fortune 500 clients in multiple large accounts. He is a certified sr. program manager (MSP practitioner), a sr. project manager (PRINCE2 Practitioner), PMP®, CSP®, ITIL(F), a certified Agile Leader(CDL), CLMM, CMM, and an advanced certified Scrum Master (A-CSM) ®, CSPO®, CSM®, KMP2, KMP1, ICP-ACC®, TKP®, ISO 9001 Lead Auditor, Lean Six Sigma Master Black Belt, CMMi (Expert). He worked in various IT companies like IBM, Wipro, Satyam, Tech Mahindra, Patni, and Syntel, and he played a crucial sr. management/Agile coach role for various global clients like Sterlite, Lufthansa, Nestle, PMI, Suncor, IPA, Canadian Pacific railways, Sony, Volvo, Allstate, and BOC Linde. LinkedIn Profile: https://www.linkedin.com/in/sudipta-malakar-csp-klmm-cdl-kmm-cspo-kmp-a-csm-icp-acc-tkp-3a794213a/
Take tiny steps to enter the big world of data science through this interesting guide Key Features Acquire basic concepts related to python programming Understand the core functionalities of Python Programming Provide the information regarding idle IDE Computational Problem solving in Python Object oriented concepts in Python Database connectivity with Python Description In the last few years, python gained popularity and became the first choice of the students, teachers as well as professionals. It is being used in different fields such as education, software development, website development and also in various advanced research. In the field of education it allows students to learn the programming language in an easier and efficient manner. In the information technology field it can be used as a language for creating softwares as well as for web developments. It can be integrated with different platforms like Django. In research, Python programming can be used in simulation or it can be used for machine learning techniques. The primary goal of this text is to create a pedagogically sound and accessible textbook that emphasises on core concepts of Python programming. The book contains lots of practical examples to show the working of a particular code construct. The book can be very helpful in order to learn the basic and advance concepts of python programming. In the beginning of the book the focus is on the basic concepts related to core python programming starting from the installation phase of python interpreter to building the concepts for the reader towards python programming. Then the book moves towards the concept of different statements and programming conditions that python programming can handle in an easier manner. It then moves to the concepts related to object oriented programming and at last the reader will get to know about the database connectivity with the python program. What you will learn You can learn the core concept related to python programming You will get to learn how to program in python You can learn how Python programming helps to solve computational problems By reading this book you can learn how to work with python You will get familiarity with the python programming concepts. You will learn how to operate idle IDE and how it can be used to write python program in easier way. Who This Book is For The book is intended for anyone who wish to learn python programming language. This book also covers the syllabus of various universities and readers can use this book as a help in their academic education. This book can be used by readers to start with python programming from basics to advanced level even without having any prior knowledge of python programming. Table of Contents Introduction to Python Python Fundamentals Expression and Operators Control Statements Functions List Processing Tuple Processing Dictionary Processing String Processing File Processing Exception Handling Object Oriented Programming Inheritance & Polymorphism Database Design in Python About the Author Rydhm Beri teaches in BBK DAV College for Women, Amritsar, as an Assistant Professor, since last three years and has 5 years of experience in the field of education and 3 years of experience in research. Her research interests include MANETs, Cloud computing, IOT, Fog Computing. She has done M.Sc. Computer Science from BBK DAV College for Women, Amritsar and MCA from Lovely Professional University and is currently pursuing Ph.D. in the field of IOT and embedded systems. She has a deep knowledge of programming and has worked for different projects in languages like, .Net, Java, PHP and Python. Currently she is working on Python programming and relate it to IOT and Machine learning field. She has published 19 research papers out of which 17 are international and 2 are national research papers. She has also been working as a reviewer in conferences and journals. In her leisure time, she likes to attend workshops and conferences and likes to program applications. Blog links: https://rydhmberi.weebly.com/
Quick solutions to frequently asked algorithm and data structure questions. Description Python is the most popular programming language, and hence, there is a huge demand for Python programmers. Even if you have learnt Python or have done projects on AI, you cannot enter the top companies unless you have cleared the Algorithms and data Structure coding test. This book presents 75 most frequently asked coding questions by top companies of the world. It not only focuses on the solution strategy, but also provides you with the working code. This book will equip you with the skills required for developing and analyzing algorithms for various situations. This book teaches you how to measure Time Complexity, it then provides solutions to questions on the Linked list, Stack, Hash table, and Math. Then you can review questions and solutions based on graph theory and application techniques. Towards the end, you will come across coding questions on advanced topics such as Backtracking, Greedy, Divide and Conquer, and Dynamic Programming. After reading this book, you will successfully pass the python interview with high confidence and passion for exploring python in future. What you will learn -Design an efficient algorithm to solve the problem. -Learn to use python tricks to make your program competitive. -Learn to understand and measure time and space complexity. -Get solutions to questions based on Searching, Sorting, Graphs, DFS, BFS, Backtracking, Dynamic programming. Who this book is for This book will help professionals and beginners clear the Data structures and Algorithms coding test. Basic knowledge of Python and Data Structures is a must. Table of Contents 1. Lists, binary search and strings 2. Linked lists and stacks 3. Hash table and maths 4. Trees and graphs 5. Depth first search 6. Breadth first search 7. Backtracking 8. Greedy and divide and conquer algorithms 9. Dynamic programming About the Authors Professor Shyamkant Limaye spent 18 years in the computer industry and 30 years in teaching electronics engineering students. His experience includes a two-year stint as a system analyst in the USA. In 1971, he graduated from Visvesvaraya National Institute of Technology in Electrical Engineering with a gold medal. He did masters from IIT Kanpur and Doctorate in electronics from RTM Nagpur University. He has guided ten students for PhD. He published a text book on VHDL programming in 2007. He has also published a thriller novel titled “Dual reality” in 2011. Currently, he is a Professor in the Electronics and Telecomm Department at St. Vincent Pallotti College of Engineering and Technology, Nagpur. LinkedIn profile: https://www.linkedin.com/in/shyam-limaye-35816ba/ Blog links: limayesir.wordpress.com
Step by step directions to get started with Selenium using Python as a programming language. Key Features Get introduced to the world of Selenium Understand the concept of locators in Selenium Learn how to write scripts using Selenium WebDriver in Python Learn the concepts of synchronization Learn how to handle different HTML elements like form, table, alert, frame, and dropdown Learn about design patterns like the page object model, data-driven tests, and adding assertions. Description Selenium is the most popular open source test automation tool available in the market. In the last decade, its usage has dramatically increased in the IT sector across all types of organizations. The reason for its popularity is mainly because it supports multiple programming languages, test executions on multiple browsers and operating systems. In this book, we will learn about the different components of Selenium. We will discuss the concepts of WebDriver and learn how to apply test automation concepts with it to automate the testing of our application. We will learn the process of recognizing the test objects on the screen and writing Selenium commands using Python as a programming language We will also discuss how to use design patterns like the page object mode and data-driven testing to ensure building a robust test framework, which is modular and scalable in nature. What You Will Learn The objective is to introduce the world of Selenium to a manual tester who knows Python as a programming language. You will learn to demystify the concept of identifying test objects and writing Selenium commands to create robust test scripts. This book will help learn to automate different HTML elements, which we come across in the web applications we need to test. You will understand how to build a good test suite by learning the concept of design patterns like the page object model and data-driven tests to ensure maintainability of code. Who this book is for This book is for people who have experience in manual testing and knowledge in Python as a programming language. This book will also be helpful for a developer who knows Python as a programming language and is looking for test automation as a career option. Table of Contents 1. Selenium - Important Conceptual Background 2. Selenium IDE 3. Locators in Selenium 4. Installation and Setup 5. Selenium WebDriver 6. Unit Test Creation n Python 7. Synchronizing Tests 8. Parameterization of Tests 9. Handling Different Web Elements 10. Working with Frames 11. Concept of the Page Object Model 12. Implementing Selenium Grid About the Author Pallavi has an overall professional experience of 14 years. She has worked in varied roles as a product/project manager in the presales team and marketing team for solutions on test automation tools. She holds two provisional patents along with other contributors for her work on building tool agnostic test automation framework solutions. Currently, she is acting as a test automation coach, writer, speaker and owner at 5 Elements Learning where she collaborates and works with test automation enthusiasts across the globe. As an avid learner, she likes to keep herself updated to the latest trends and Technologies. She is a firm believer in a larger good and likes to live by example. She volunteers her time for the organization eVidyaloka where she acts as a centre administrator. She is a lifetime member for the Jabarkhet forest reserve and People for Animals. Website: http://5elementslearning.com LinkedIn Profile: https://www.linkedin.com/in/pallavirsharma/