Tankobon Softcover – December 28, 2020, a textbook for automatic Python processing
товар №: 87991396

Tankobon Softcover – December 28, 2020, a textbook for automatic Python processing

товар №: 87991396

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What Stands Out

User-Friendly Design
The Tankobon Softcover format provides an accessible and engaging layout for readers, making complex Python concepts easier to understand and apply in real-world programming tasks.
Comprehensive Content
Covering a broad range of automatic Python processing techniques, this textbook equips learners with essential skills to automate tasks, boosting productivity and efficiency for both beginners and experienced coders.
Practical Applications
The textbook emphasizes hands-on learning with real-life examples, enabling users to directly implement automatic processing techniques in Python, enhancing their coding capabilities and problem-solving skills.

Информация о продукте

Shop Tankobon Softcover – December 28, 2020, a textbook for automatic Python processing online at a best price in Tajikistan. 4839973857
Publisher u30deu30a4u30cau30d3u51fau7248 (December 28, 2020)
Publication date December 28, 2020
Language Japanese
Tankobon Softcover 344 pages
ISBN-10 4839973857
ISBN-13 978-4839973858
Dimensions 7.28 x 1.02 x 9.25 inches (18.5 x 2.6 x 23.5 cm)

Who Should Buy?

Suitable For
  • Beginners in Python

    Ideal for individuals new to Python, providing foundational knowledge for automated processing tasks.

  • Students and Educators

    Useful for academic settings, offering structured content for courses and self-study in programming.

  • Data Analysts

    Beneficial for data professionals seeking to automate data processing and analysis tasks using Python effectively.

Not Suitable For
  • Advanced Programmers

    Experienced users may find the content too basic and not sufficiently challenging for their skill level.

ОПИСАНИЕ ТОВАРА

Tankobon Softcover – December 28, 2020, a textbook for automatic Python processing

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クジラ飛行机 Editorial Review

**** The book "Python for Automation in Tasks" has received overwhelmingly positive feedback from readers who are looking to improve their work efficiency through automation using Python. Many find it to be an accessible resource for individuals, particularly administrative staff and managers, who may be overwhelmed by daily tasks. Reviewers highlight its practical approach, which allows them to bypass complex grammar and theoretical concepts in favor of actionable tips. This book serves as an excellent introduction for those seeking to automate mundane tasks without delving into heavy programming fundamentals. Readers appreciate the clear language, well-structured themes around practical applications like Excel, Word, PDF manipulation, and browser operations, making it straightforward for practitioners to implement Python in their daily workflows. The inclusion of comprehensive sample codes enhances comprehension and encourages readers to actively engage with the content by practicing their coding skills. Notably, the book is designed for both Windows and Mac users, ensuring broad accessibility. However, it is important to note that this book may not suit those looking to gain an in-depth understanding of Python programming or for aspiring engineers and data scientists. While the general sentiment is one of satisfaction and enthusiasm, a few technical concerns around the reading experience on smaller devices were mentioned, with readers recommending tablets or desktops for optimal enjoyment. Additionally, Kindle users faced limitations with the ability to annotate the text, prompting suggestions to opt for printed versions for those wanting to make notes. Overall, "Python for Automation in Tasks" emerges as a robust tool for hands-on learners intending to leverage Python for business process automation without being bogged down by overly complicated programming theory. **

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Плюсы

  • Practical approach to automation for everyday tasks.
  • Simple and accessible language for non-programmers.
  • Emphasis on real-world applications with themes tailored to common workplace needs.
  • Abundant sample code for readers to practice coding.
  • Suitable for both Windows and Mac platforms.

Минусы

  • Not ideal for readers wanting to deeply study Python programming fundamentals.

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