Products related to Python:
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Business Analytics with R and Python
This book provides an overview of data mining methods in the field of business.Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions.Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability.Chapter 1 provides an overview of business management problems.Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems.Chapter 3 describes initial data visualization tools.Chapter 4 describes association rules and software support.Chapter 5 describes cluster analysis with software demonstration.Chapter 6 discusses time series analysis with software demonstration.Chapter 7 describes predictive classification data mining tools.Applications of the context of management are presented in Chapter 8.Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence.
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DevOps in Python : Infrastructure as Python
Take advantage of Python to automate complex systems with readable code.This new edition will help you move from operations/system administration into easy-to-learn coding. You'll start by writing command-line scripts and automating simple DevOps-style tasks followed by creating reliable and fast unit tests designed to avoid incidents caused by buggy automation.You’ll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel and writing Ansible and Salt extensions. The updated information in this book covers best practices for deploying and updating Python applications.This includes Docker, modern Python packaging, and internal Python package repositories.You'll also see how to use the AWS API, and the Kubernetes API, and how to automate Docker container image building and running.Finally, you'll work with Terraform from Python to allow more flexible templating and customization of environments. What You'll LearnUnderstand operating system automation with PythonPackage Python applicationsUse Python as a DevOps consoleReview Cloud automation with PythonWho This Book Is ForDevOps engineer.Site Reliability Engineer, or similar (including Platform, Production, and Systems), and whose organization uses Python.
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Business Analytics with Python : Essential Skills for Business Students
Data-driven decision-making is a fundamental component of business success.Use this textbook to learn the core knowledge and techniques for analyzing business data with Python programming. Business Analytics with Python assumes no prior knowledge or experience in computer science, presenting the technical aspects of the subject in an accessible, introductory way for students on business courses.It features chapters on linear regression, neural networks and cluster analysis, with a running case study that enables students to apply their knowledge.Students will also benefit from real-life examples to show how business analysis has been used for such tasks as customer churn prediction, credit card fraud detection and sales forecasting. This book presents a holistic approach to business analytics: in addition to Python, it covers mathematical and statistical concepts, essential machine learning methods and their applications.Business Analytics with Python comes complete with practical exercises and activities, learning objectives and chapter summaries as well as self-test quizzes.It is supported by online resources that include lecturer PowerPoint slides, study guides, sample code and datasets and interactive worksheets. This textbook is ideal for students taking upper level undergraduate and postgraduate modules on analytics as part of their business, management or finance degrees.
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Business Analytics with Python : Essential Skills for Business Students
Data-driven decision-making is a fundamental component of business success.Use this textbook to learn the core knowledge and techniques for analyzing business data with Python programming. Business Analytics with Python assumes no prior knowledge or experience in computer science, presenting the technical aspects of the subject in an accessible, introductory way for students on business courses.It features chapters on linear regression, neural networks and cluster analysis, with a running case study that enables students to apply their knowledge.Students will also benefit from real-life examples to show how business analysis has been used for such tasks as customer churn prediction, credit card fraud detection and sales forecasting. This book presents a holistic approach to business analytics: in addition to Python, it covers mathematical and statistical concepts, essential machine learning methods and their applications.Business Analytics with Python comes complete with practical exercises and activities, learning objectives and chapter summaries as well as self-test quizzes.It is supported by online resources that include lecturer PowerPoint slides, study guides, sample code and datasets and interactive worksheets. This textbook is ideal for students taking upper level undergraduate and postgraduate modules on analytics as part of their business, management or finance degrees.
Price: 147.00 £ | Shipping*: 0.00 £
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How can one search through a directory in Python 3?
In Python 3, you can search through a directory using the `os` module. First, import the `os` module and use the `os.listdir()` function to get a list of all the files and directories in the specified directory. Then, you can iterate through the list and use the `os.path.join()` function to create the full path of each file or directory. Finally, you can use the `os.path.isfile()` and `os.path.isdir()` functions to check if each item is a file or a directory, and perform the necessary actions based on the result.
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Why do many companies use the programming language Python?
Many companies use the programming language Python because it is versatile and can be used for a wide range of applications, from web development to data analysis and machine learning. Python is known for its simplicity and readability, making it easier for developers to write and maintain code. Additionally, Python has a large and active community that provides support, resources, and a wide range of libraries and frameworks that can help companies develop applications more efficiently.
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How can one determine the directory depth of a folder in Python?
You can determine the directory depth of a folder in Python by using the `os` module. First, you can use the `os.path.abspath()` function to get the absolute path of the folder. Then, you can use the `os.path.relpath()` function to get the relative path of the folder. Finally, you can split the relative path using the `os.path.sep` to get the directory depth. The number of elements in the resulting list will give you the directory depth of the folder.
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How can one control other Python programs with Python?
One can control other Python programs with Python by using the subprocess module, which allows you to spawn new processes, connect to their input/output/error pipes, and obtain their return codes. You can use the subprocess module to run other Python scripts or any other command line programs from within your Python program. Additionally, you can use libraries like os and sys to interact with the file system, environment variables, and command line arguments of other Python programs. Lastly, you can also use inter-process communication mechanisms like sockets, pipes, or shared memory to establish communication between different Python programs.
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Python Swallowed Whole : Core Developers Define Python
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Python Challenge
Learn to program fast in 155 challenges, 53 examples and 85 pages.There's no substitute for practice when it comes to learning a new skill!Python syntax is simple to learn, but becoming an expert in writing programs to solve different kinds of problems takes a bit longer.That's why this book has a short explanation of each new statement or technique, followed by one or more examples and then loads of practice challenges.Some of the challenges will take you only a minute or two, using the Python Interactive window to try out new statements and get immediate results.As you get further into the book, you will be challenged to write programs to perform different kinds of tasks - for example to find the results of a calculation, write a program for a simplified cash machine, sort a list of items into alphabetical order, or to record data in a text file to be read, formatted, and printed.The programming solutions to some challenges have been helpfully simplified for an inexperienced programmer to modify rather than to write from scratch.This builds your confidence in problem-solving. That's why 35 challenges consist of partially written programs for you to complete.
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Programming Python
Once you've come to grips with the core Python language, learning how to build Python applications presents a far more interesting challenge.Tap this book's wealth of practical advice, snippets of code, and patterns of program design to take your Python skills to the next level.You'll start with in-depth discussions of core concepts and then progress toward complete programs in different application domains, including: * GUI programming * Internet scripting * Parallel processing * Database management * Networked applications * System administration * Text processing Most programming experts consider this classic book, now updated for Python 3.x, to be the industry standard for learning Python application programming.With clear and concise explanations of Python syntax and programming techniques, and numerous examples that illustrate both correct usage and common idioms, Programming Python shows you the right way to code with Python.
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Python Love
Python Love weaves together experiences of childhood abuse, birth trauma, and recovery from the perspective of a medical doctor who is also a mother.In this debut collection of visceral originality, Shannon Arntfield delves into the many ways in which the body recalls what has been done to it.The terror and confusion of unexpected flashbacks is felt alongside the grip of labor contractions; a mother, near death during childbirth, shivers uncontrollably.Long, breathtaking sequences set within medical facilities during labour and delivery are juxtaposed with spare, lyrical reflections on ideas of memory, natural spaces, implicit love, and the relationships between parents and children.Full of precise observations and careful renderings, Python Love is focused on how the body and mind are inextricably linked, how the past can overwhelm and inform the present, and how recovery is tied to love and connection.
Price: 15.99 £ | Shipping*: 3.99 £
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'Python or Kotlin?'
Both Python and Kotlin are popular programming languages with their own strengths. Python is known for its simplicity and readability, making it a great choice for beginners and for tasks like data analysis, machine learning, and web development. On the other hand, Kotlin is a modern language that is fully interoperable with Java, making it a good choice for Android app development and backend services. Ultimately, the choice between Python and Kotlin depends on the specific requirements of the project and the developer's familiarity with the language.
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Is Python difficult?
Python is generally considered to be one of the easier programming languages to learn due to its simple and readable syntax. It is often recommended as a good language for beginners. However, like any programming language, mastering Python can still be challenging, especially when working on more complex projects or diving into advanced topics. With practice and dedication, Python can be a very rewarding language to learn.
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Python or Kotlin?
The choice between Python and Kotlin depends on the specific use case and requirements. Python is a versatile language known for its simplicity and readability, making it a popular choice for tasks like data analysis, machine learning, and web development. On the other hand, Kotlin is a modern language that is fully interoperable with Java and is often used for Android app development due to its conciseness and safety features. Ultimately, the decision between Python and Kotlin should be based on the specific project needs and the developer's familiarity with the language.
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'Kotlin or Python?'
Both Kotlin and Python are popular programming languages with their own strengths. Kotlin is known for its strong type system, interoperability with Java, and modern language features, making it a good choice for Android development and backend services. On the other hand, Python is known for its simplicity, readability, and extensive libraries, making it a great choice for web development, data analysis, and artificial intelligence. The choice between Kotlin and Python ultimately depends on the specific requirements of the project and the developer's familiarity with the language.
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