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Author: René Preiße
Publisher: Brainy Software Inc
Published: 2014-10-15
Total Pages: 325
ISBN-13: 1771970006
DOWNLOAD EBOOKGit is the most popular version control system today. This book explains the basic concepts of Git and starts with introductory chapters to get you up to speed on Git. The authors focus on agile development and provide workflows that show the necessary commands and options for solving real-world problems.
Author: Jon Loeliger
Publisher: "O'Reilly Media, Inc."
Published: 2012-08-14
Total Pages: 455
ISBN-13: 1449345042
DOWNLOAD EBOOKGet up to speed on Git for tracking, branching, merging, and managing code revisions. Through a series of step-by-step tutorials, this practical guide takes you quickly from Git fundamentals to advanced techniques, and provides friendly yet rigorous advice for navigating the many functions of this open source version control system. This thoroughly revised edition also includes tips for manipulating trees, extended coverage of the reflog and stash, and a complete introduction to the GitHub repository. Git lets you manage code development in a virtually endless variety of ways, once you understand how to harness the system’s flexibility. This book shows you how. Learn how to use Git for several real-world development scenarios Gain insight into Git’s common-use cases, initial tasks, and basic functions Use the system for both centralized and distributed version control Learn how to manage merges, conflicts, patches, and diffs Apply advanced techniques such as rebasing, hooks, and ways to handle submodules Interact with Subversion (SVN) repositories—including SVN to Git conversions Navigate, use, and contribute to open source projects though GitHub
Author: Scott Chacon
Publisher: Apress
Published: 2014-11-18
Total Pages: 441
ISBN-13: 1484200764
DOWNLOAD EBOOKPro Git (Second Edition) is your fully-updated guide to Git and its usage in the modern world. Git has come a long way since it was first developed by Linus Torvalds for Linux kernel development. It has taken the open source world by storm since its inception in 2005, and this book teaches you how to use it like a pro. Effective and well-implemented version control is a necessity for successful web projects, whether large or small. With this book you’ll learn how to master the world of distributed version workflow, use the distributed features of Git to the full, and extend Git to meet your every need. Written by Git pros Scott Chacon and Ben Straub, Pro Git (Second Edition) builds on the hugely successful first edition, and is now fully updated for Git version 2.0, as well as including an indispensable chapter on GitHub. It’s the best book for all your Git needs.
Author: Eric Sink
Publisher:
Published: 2011-01-01
Total Pages: 277
ISBN-13: 9780983507901
DOWNLOAD EBOOKAuthor: Kedeisha Bryan
Publisher: Packt Publishing Ltd
Published: 2023-11-07
Total Pages: 196
ISBN-13: 1837631077
DOWNLOAD EBOOKGet to grips with the fundamental concepts of data engineering, and solve mock interview questions while building a strong resume and a personal brand to attract the right employers Key Features Develop your own brand, projects, and portfolio with expert help to stand out in the interview round Get a quick refresher on core data engineering topics, such as Python, SQL, ETL, and data modeling Practice with 50 mock questions on SQL, Python, and more to ace the behavioral and technical rounds Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPreparing for a data engineering interview can often get overwhelming due to the abundance of tools and technologies, leaving you struggling to prioritize which ones to focus on. This hands-on guide provides you with the essential foundational and advanced knowledge needed to simplify your learning journey. The book begins by helping you gain a clear understanding of the nature of data engineering and how it differs from organization to organization. As you progress through the chapters, you’ll receive expert advice, practical tips, and real-world insights on everything from creating a resume and cover letter to networking and negotiating your salary. The chapters also offer refresher training on data engineering essentials, including data modeling, database architecture, ETL processes, data warehousing, cloud computing, big data, and machine learning. As you advance, you’ll gain a holistic view by exploring continuous integration/continuous development (CI/CD), data security, and privacy. Finally, the book will help you practice case studies, mock interviews, as well as behavioral questions. By the end of this book, you will have a clear understanding of what is required to succeed in an interview for a data engineering role.What you will learn Create maintainable and scalable code for unit testing Understand the fundamental concepts of core data engineering tasks Prepare with over 100 behavioral and technical interview questions Discover data engineer archetypes and how they can help you prepare for the interview Apply the essential concepts of Python and SQL in data engineering Build your personal brand to noticeably stand out as a candidate Who this book is for If you’re an aspiring data engineer looking for guidance on how to land, prepare for, and excel in data engineering interviews, this book is for you. Familiarity with the fundamentals of data engineering, such as data modeling, cloud warehouses, programming (python and SQL), building data pipelines, scheduling your workflows (Airflow), and APIs, is a prerequisite.
Author: Mariot Tsitoara
Publisher: Apress
Published: 2019-11-30
Total Pages: 294
ISBN-13: 1484253132
DOWNLOAD EBOOKLearn the fundamentals of version control through step-by-step tutorials that will teach you the ins-and-outs of Git. This book is your complete guide to how Git and GitHub work in a professional team environment. Divided into three parts – Version Control, Project Management and Teamwork – this book reveals what waits for you in the real world and how to resolve the problems you may run into. Once past the basics of Git, you'll see how to manage a software project, and finally how to utilize Git and GithHub to work effectively as a team. You'll examine how to plan, follow and execute a project with GitHub, and then apply those concepts to real-world situations. Workaround the pitfalls that most programmers fall into when driving a project with Git by using proven tactics to avoid them. You will also be taught the easiest and quickest ways to resolve merge conflicts. A lot of modern books on Git don’t go into depth about non-technical topics. Beginning Git and GitHub will help you cover all the bases right at the start of your career. What You'll Learn Review basic and advanced concepts of GitApply Project Management skills using GitHub Solve conflicts or, ideally, avoid them altogetherUse advanced concepts for a more boosted workflow Who This book Is For New developers, developers that have never worked in a team environment before, developers with basic knowledge of Git or GitHub, or anyone who works with text documents.
Author: Scott Chacon
Publisher: Apress
Published: 2009-10-06
Total Pages: 276
ISBN-13: 1430218347
DOWNLOAD EBOOKGit is the version control system developed by Linus Torvalds for Linux kernel development. It took the open source world by storm since its inception in 2005, and is used by small development shops and giants like Google, Red Hat, and IBM, and of course many open source projects. A book by Git experts to turn you into a Git expert Introduces the world of distributed version control Shows how to build a Git development workflow
Author: Sankar Srinivasan
Publisher: Srinivasan Sankara Narayanan
Published: 2023-10-24
Total Pages: 70
ISBN-13:
DOWNLOAD EBOOK"Git Basics and Version Control" is your essential companion to mastering the art of version control and understanding the core concepts of Git, written by Sankar Srinivasan. As a certified market professional of the National Stock Exchange of India and a self-taught coding explorer, Sankar brings a unique blend of financial acumen and technical expertise to this comprehensive guide. Explore a journey that demystifies Git and version control systems, making it accessible for both beginners and experienced developers. Whether you're a programmer, software engineer, or just someone interested in the world of coding, this book provides a holistic approach to version control. Order your copy now and join the ranks of developers and financial professionals who have harnessed the true potential of Git and version control. - Version Control for Beginners: Sankar's clear and concise explanations ensure that even those new to the concept of version control can grasp it effortlessly. - Git for Programmers: Dive deep into Git with practical examples, making it an indispensable tool for programmers seeking to streamline their workflow. - Financial Insights for Developers: Benefit from Sankar's background as a certified market professional, with unique insights on how version control can enhance your financial projects. - Effective Code Collaboration: Learn how Git can transform the way you collaborate with your team, ensuring smoother project management and improved code quality. - Mastering Branching and Merging: Explore advanced Git techniques, including branching and merging, to handle complex projects with ease. - Version Control Best Practices: Discover the tips and tricks that professionals like Sankar employ to keep their projects organized and efficient. With "Git Basics and Version Control" you'll gain a profound understanding of Git's power and flexibility, enabling you to enhance your coding skills and advance your career in finance or technology. Don't miss the opportunity to learn from a trusted expert in the field. Take control of your code and projects today with this exceptional guide!
Author: Cyrille Rossant
Publisher: Packt Publishing Ltd
Published: 2014-09-25
Total Pages: 899
ISBN-13: 178328482X
DOWNLOAD EBOOKIntended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.
Author: Cyrille Rossant
Publisher: Packt Publishing Ltd
Published: 2018-01-31
Total Pages: 548
ISBN-13: 1785881930
DOWNLOAD EBOOKLearn to use IPython and Jupyter Notebook for your data analysis and visualization work. Key Features Leverage the Jupyter Notebook for interactive data science and visualization Become an expert in high-performance computing and visualization for data analysis and scientific modeling A comprehensive coverage of scientific computing through many hands-on, example-driven recipes with detailed, step-by-step explanations Book Description Python is one of the leading open source platforms for data science and numerical computing. IPython and the associated Jupyter Notebook offer efficient interfaces to Python for data analysis and interactive visualization, and they constitute an ideal gateway to the platform. IPython Interactive Computing and Visualization Cookbook, Second Edition contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning. The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high-performance computing through just-in-time compilation, parallel computing, and graphics card programming. The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics. What you will learn Master all features of the Jupyter Notebook Code better: write high-quality, readable, and well-tested programs; profile and optimize your code; and conduct reproducible interactive computing experiments Visualize data and create interactive plots in the Jupyter Notebook Write blazingly fast Python programs with NumPy, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA), parallel IPython, Dask, and more Analyze data with Bayesian or frequentist statistics (Pandas, PyMC, and R), and learn from actual data through machine learning (scikit-learn) Gain valuable insights into signals, images, and sounds with SciPy, scikit-image, and OpenCV Simulate deterministic and stochastic dynamical systems in Python Familiarize yourself with math in Python using SymPy and Sage: algebra, analysis, logic, graphs, geometry, and probability theory Who this book is for This book is intended for anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, and hobbyists. A basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.
