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Python: 3 books in 1- Your complete guide to python programming with Python for Beginners, Python Data Analysis and Python Machine Learning
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A crash course to learn Python Programming in 1 Week will take you through the basics of getting started with Python programming step by step.
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- Unlock endless career opportunities with our comprehensive Python Language book! Python is one of the most versatile and in-demand programming languages in the world. Whether you're a beginner looking to learn a new skill or an experienced developer seeking to expand your knowledge, this Python Bundle book has everything you need to take your skills to the next level.This comprehensive guide covers all aspects of the Python language, from the basics of programming to more advanced topics like data analysis and machine learning. With clear, concise explanations and practical examples, this book is perfect for anyone looking to learn Python from scratch or enhance their existing skills.With a strong foundation in Python programming and data analysis, you'll be in high demand in a wide range of industries, from finance and technology to healthcare and retail. This Python Bundle book will equip you with the skills you need to succeed, no matter what your career goals may be!In this book, you'll find:A beginner-friendly introduction to the Python language, including data types, variables, functions, and control structures.A deep dive into data analysis with Python, including how to work with popular data analysis libraries like Pandas, NumPy, and Matplotlib.A comprehensive guide to machine learning with Python, including how to build and train machine learning models, as well as how to apply them to real-world problems.Whether you're looking to start a new career in data science or just want to improve your coding skills, this Python book has everything you need to succeed. With its engaging and accessible writing style, this book is the perfect resource for anyone looking to take their Python skills to the next level.THIS BOOK INCLUDES:Python for Beginners: A crash course to learn Python Programming in 1 WeekPython for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and IpythonPython Machine Learning: A Step by Step Beginner’s Guide to Learn Machine Learning Using PythonHere's what you'll learn through this book:Python for BeginnersIn this book You will learn:Getting started with the basicsStatements, Comments, Variables, IndexData Types: Strings and NumbersData Types: List and TupleData Types: Set and DictionaryOperatorsFunctionsLoopsPython Practice Projectsand much morePython for Data AnalysisIn this book You will learn:Data Science/Analysis and its applicationsIPython and Jupyter - an introduction to the basic tools and how to navigate and use them. You will also learn about its importance in a data scientist’s ecosystem.Pandas - a powerful data management Python library that lets you do interesting things with data. You will learn all the basics you need to get started.NumPy - a powerful numerical library for Python. You will learn more about its advantages.Python Machine LearningIn this book You will learn:Machine learning fundamentalsHow to set up the development environmentHow to use Python libraries and modules like Scikit-learn, TensorFlow, Matplotlib, and NumPyHow to explore dataHow to solve regression and classification problemsDecision treesk-means clusteringFeed-forward and recurrent neural networksWith our comprehensive approach, you'll have all the tools you need to excel in the world of Python. So why wait? Get your copy today and start your journey to becoming a skilled Python programmer!Get your copy now!
| Publisher | Independently published |
| Publication date | 4 Feb. 2022 |
| Language | English |
| Print length | 472 pages |
| ISBN-13 | 979-8410695930 |
| Item weight | 740 g |
| Dimensions | 15.24 x 2.72 x 22.86 cm |
| Book 4 of 5 | Programming Languages for Beginners |
Für wen ist das Produkt geeignet?
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Beginners in Python
Ideal for individuals starting with programming, offering foundational knowledge in Python essentials and functions.
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Data Analysts
Useful for those interested in extracting insights from data, covering data analysis techniques and libraries.
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Aspiring ML Practitioners
Great for users wanting to delve into machine learning concepts, providing practical applications and algorithms in Python.
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Experienced Developers
Not suitable for seasoned programmers seeking advanced Python techniques or specialized frameworks beyond the basics.
PRODUKTBESCHREIBUNG
Kundenfragen und -antworten
-
Frage:
Is this book suitable for complete beginners in Python programming?
Antworten: Yes, it is designed as a crash course to help beginners learn Python programming step by step. -
Frage:
Does it cover practical examples and use of Python libraries?
Antworten: Yes, it includes practical examples and the use of Python libraries and modules for data analysis and machine learning. -
Frage:
What can be expected from the section on machine learning?
Antworten: The section on machine learning covers fundamentals, practical use of Python libraries for machine learning, data exploration, and problem-solving techniques such as regression and classification.
Introduction Editorial Review
** Python: 3 Books in 1** The product "Python: 3 Books in 1" aims to serve as a comprehensive guide for beginners venturing into the world of Python programming, as well as those interested in data analysis and machine learning. While some users have found value in the book, particularly as a supplementary resource alongside formal courses, the overall reception has been notably mixed. On the positive side, some readers appreciate the book's intention to provide a cohesive overview of Python and its applications in data analysis and machine learning, which can be beneficial in the initial stages of learning. The promise of inclusivity—covering Beginner concepts alongside more advanced data analysis techniques—appeals to a broad audience eager to enhance their programming skills. However, the negatives seem to overshadow the potential benefits. Multiple reviewers have highlighted significant issues with the book, including a high incidence of typos and errors, particularly in sample codes. Such inaccuracies can create substantial hurdles for learners attempting to grasp coding concepts. Additionally, concerns about the print quality and the presence of overly simplistic or unnecessary content have been noted, contributing to a frustrating reading experience. These factors have led several users to regret not heeding prior critiques and opting for alternative resources. In summary, while "Python: 3 Books in 1" endeavors to offer a solid foundational guide for Python learners, the prevalence of errors and print quality issues may hinder its effectiveness, making it a less favorable choice for those serious about learning programming. **
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Vorteile
- Provides a cohesive overview of Python for beginners.
- Useful as a supplementary resource alongside formal courses.
- Covers multiple aspects of Python, including data analysis and machine learning.
Nachteile
- Contains numerous typos and coding errors.
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Merkmale und Vorteile
- Learn Python programming in just 1 week
- Step-by-step guide for beginners
- Covers Python basics, data analysis, and machine learning
- Includes practical examples and use of Python libraries and modules
- Teaches machine learning fundamentals and problem-solving techniques
- Great resource for gaining working knowledge of Python and data science
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