Python: 3 books in 1- Your complete guide to python programming with Python for Beginners, Python Data Analysis and Python Machine Learning (Programming Languages for Beginners)
Python: 3 books in 1- Your complete guide to python programming with Python for Beginners, Python Data Analysis and Python Machine Learning (Programming Languages for Beginners)
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.
Python: 3 books in 1- Your complete guide to python programming with Python for Beginners, Python Data Analysis and Python Machine Learning (Programming Languages for Beginners)
Numéro d'article: 103146199

Python: 3 books in 1- Your complete guide to python programming with Python for Beginners, Python Data Analysis and Python Machine Learning

Numéro d'article: 103146199

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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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Ce qui se démarque

Comprehensive Coverage
This book combines three essential aspects of Python programming, ensuring readers acquire foundational skills, data analysis techniques, and machine learning concepts in one comprehensive guide.
Beginner-Friendly
Designed for novices, this guide features clear explanations, practical examples, and step-by-step instructions that demystify complex programming topics, making learning swift and approachable.
Cost-Effective Learning
With three books in one, readers benefit from extensive content at a fraction of the cost, providing exceptional value for those eager to enhance their programming knowledge efficiently.

Détails du produit

Shop Python: 3 books in 1- Your complete guide to python programming with Python for Beginners, Python Data Analysis and Python Machine Learning (Programming Languages for Beginners) online at a best price in Switzerland. B09RLRHNGS
  • 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

À qui est-ce destiné ?

Suitable For
  • Beginners in Python

    Ideal for individuals starting with programming, offering foundational knowledge in Python essentials and functions.

  • Data Analysts

    Useful for those interested in extracting insights from data, covering data analysis techniques and libraries.

  • Aspiring ML Practitioners

    Great for users wanting to delve into machine learning concepts, providing practical applications and algorithms in Python.

Not Suitable For
  • Experienced Developers

    Not suitable for seasoned programmers seeking advanced Python techniques or specialized frameworks beyond the basics.

DESCRIPTION DU PRODUIT

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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. **

Avis et évaluations clients

4.2
97 évaluations des clients
  • 5 étoile
    62%
  • 4 étoile
    19%
  • 3 étoile
    12%
  • 2 étoile
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  • 1 étoile
    7%

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Avantages

  • 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.

Les inconvénients

  • Contains numerous typos and coding errors.

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