- الصفحة الرئيسية /
- الكتب /
- الكمبيوتر والتكنولوجيا /
- Databases & Big Data /
- Data Processing /
- Python Tools for Scientists An Introduction t...
0 ratings
منتج #:
97733425
Python Tools for Scientists An Introduction to Using Anaconda, JupyterLab, and Pythons Scientific Libraries
87% من المشترين سيوصون بهذا المنتج لصديق
منتج #:
97733425
KWD 19
تفاصيل السعر
باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )
*سيتم استيراد جميع العناصر من أمريكا
0 ratings
اكتب رأيك
متوفر فى المخزون
مستورد من متجر USA
كمية:
اطلب الآن واحصل عليه حول الإثنين, سبتمبر 14
معاملة آمنة
تعمل يوباي جاهدة لحماية أمنك وخصوصيتك. يضمن نظام أمان الدفع المتقدم لدينا السرية من خلال تشفير معلوماتك أثناء النقل باستخدام بروتوكولات AES (معايير التشفير المتقدمة) وSSL (طبقة المنافذ الآمنة). تفاصيل الدفع الخاصة بك آمنة بنسبة %100 لأننا لا نشارك تفاصيل الدفع الخاصة بك مع بائعين تابعين لجهات خارجية
أفضل شركائنا اللوجستيين
This book cuts through the noise to help you deliver results.
شحن
سريع
استرجاع
مجاني*
تغليف آمن
منتجات أصلية %100
الامتثال لمعيار PCI DSS
حاصل على شهادة ISO 27001
Note: Step Down Voltage Transformer required for using electronics products of أمريكا store (110-120). Recommended power converters اشتري الآن.
مايفيد
Integrated Environment
Utilizes Anaconda and JupyterLab to provide a seamless experience for data scientists, combining library management, coding, and visualization in one platform, which enhances productivity and streamlines workflows.
Comprehensive Libraries
Offers extensive coverage of Python's scientific libraries like NumPy and Pandas, empowering users to perform complex data analysis and scientific computations efficiently, saving time and improving accuracy.
User-Friendly Approach
Designed for beginners and advanced users alike, this guide simplifies the learning curve for Python in scientific contexts, making it accessible and practical for scientists without extensive programming backgrounds.
تفاصيل المنتج
| Publisher | No Starch Press |
| Publication date | January 17, 2023 |
| Language | English |
| Print length | 744 pages |
| ISBN-10 | 1718502664 |
| ISBN-13 | 978-1718502666 |
| Item Weight | 13 ounces (368.55 grams) |
| Dimensions | 7 x 1.32 x 9.25 inches (17.8 x 3.4 x 23.5 cm) |
من يجب أن يشتري؟
-
Beginner Scientists
This product is ideal for scientists who are new to Python and wish to utilize data analysis tools effectively.
-
Data Analysts
Data analysts looking to enhance their skill set with Python's libraries for data manipulation and visualization will benefit significantly.
-
Academic Researchers
Researchers in academia needing efficient tools for data processing and visualization will find value in this comprehensive guide.
-
Advanced Programmers
Experienced programmers may find the content too basic and not sufficiently challenging or in-depth for their skill level.
وصف المنتج
Python Tools for Scientists An Introduction to Using Anaconda, JupyterLab, and Pythons Scientific Libraries
هل لديك أي استفسار؟ تحدث معنا
أسئلة العملاء & الإجابات
-
سؤال:
What is included in 'Python Tools for Scientists'?
إجابه: The book covers essential tools such as Anaconda, JupyterLab, and various scientific libraries like NumPy, Pandas, and Matplotlib. Each tool is designed to help scientific computing and data analysis. Anaconda provides a robust environment to manage packages and dependencies, JupyterLab offers an interactive platform for coding, and libraries help perform complex mathematical calculations and data visualizations efficiently. -
سؤال:
Who is this book intended for?
إجابه: This book is primarily aimed at scientists, data analysts, and researchers who are new to Python or looking to enhance their skills. It’s suitable for a wide range of disciplines, including biology, chemistry, physics, and engineering, where data analysis and computational tools are increasingly becoming essential. It bridges the gap between theoretical knowledge and practical application in scientific research. -
سؤال:
How can I benefit from using Anaconda?
إجابه: Anaconda simplifies package management and deployment for Python. With thousands of scientific packages available, you can quickly set up an environment tailored to your project needs. This is especially valuable when working on collaborative projects, where ensuring environment consistency is crucial. Using Anaconda allows for efficient dependency resolution and package management, streamlining the workflow for data scientists. -
سؤال:
What are the main advantages of using JupyterLab?
إجابه: JupyterLab provides an interactive working environment that allows you to write and execute code simultaneously while visualizing results. Its modular interface supports working with notebooks, code editors, text editors, and terminals all in one place. This enhances productivity, making it easier to document your process while experimenting with data, which is invaluable for data exploration and presentation. -
سؤال:
Can I use this book for learning Python from scratch?
إجابه: While the book focuses on tools used in scientific applications, it begins with foundational concepts of Python essential for understanding advanced tools. If you are a beginner, it serves as a guided introduction, illustrating how Python is applied within the context of scientific work, which can enhance your learning experience and motivate you to delve deeper into Python programming. -
سؤال:
What are Python's scientific libraries, and why are they important?
إجابه: Python's scientific libraries include NumPy, Pandas, SciPy, and Matplotlib, each serving distinct purposes. NumPy provides efficient array computation, Pandas excels in data manipulation and analysis, SciPy focuses on scientific computing, and Matplotlib is great for creating visualizations. These libraries are crucial for conducting data-intensive research, allowing scientists to handle large datasets efficiently and effectively communicate findings. -
سؤال:
Is this book suitable for advanced users?
إجابه: While 'Python Tools for Scientists' is designed for those new to the tools, advanced users may still find it beneficial as a reference. It provides insights into best practices and advanced functionalities that may not be immediately obvious. Furthermore, integrating these tools into existing workflows can streamline processes and improve productivity, making it useful for users at any expertise level. -
سؤال:
What practical projects can I work on after reading this book?
إجابه: After engaging with the book, you can undertake various projects such as data analysis of scientific datasets, simulations of physical phenomena, or visualizing complex biological data. For example, using Pandas for data cleaning and manipulation followed by Matplotlib for creating insightful visualizations can enhance your research presentations, making your findings more accessible and impactful. -
سؤال:
How does this book handle complex scientific concepts?
إجابه: The book simplifies complex scientific concepts by breaking them down into digestible sections that relate directly to practical applications in Python. Each chapter typically presents theoretical explanations followed by hands-on examples or coding exercises that reinforce learning, ensuring that readers not only understand the theory but also how to apply it in real-world scenarios. -
سؤال:
Where can I buy 'Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries'?
إجابه: You can purchase 'Python Tools for Scientists' from Ubuy in Kuwait. Ubuy offers a convenient shopping experience with a wide selection of books, including scientific literature. Furthermore, their platform ensures you have access to reliable product details and customer reviews, enhancing your buying decision.
Data Processing Editorial Review
**** "Python Tools for Scientists" serves as an accessible entry point into the realm of Python programming for individuals venturing into scientific or research work. The book excels in providing a well-organized and methodical introduction, making it particularly valuable for beginners. Reviewers have noted that while the author presents the foundational aspects of Python with clarity, those seeking in-depth mastery of the language will need to look elsewhere. The exhaustive detail regarding setting up the Python development environment is both a strength and a weakness; it's beneficial for newcomers but can feel drawn out for those already familiar with programming. The content is favorably structured, with clear divisions between instructional chapters and reference material, aiding readers in navigating the toolset effectively. Many users have expressed that the book minimizes learning efforts and efficiently equips them to utilize Python's extensive scientific libraries. The inclusion of visualization techniques received positive remarks, particularly for its supportive charts that guide selection of appropriate libraries. However, for more experienced programmers, the book may seem overly focused on basic tutorials, leading to a desire for more complex problem-solving content. Overall, "Python Tools for Scientists" is well-received as a practical guide, especially for those just starting their journey in the Python ecosystem. It provides the essential groundwork and introduces critical libraries, making it a recommended resource for aspiring data scientists and researchers. **
مراجعات العملاء وتقييماتهم
1 تقييمات العملاء
-
5 نجمة
0%
-
4 نجمة
100%
-
3 نجمة
0%
-
2 نجمة
0%
-
1 نجمة
0%
أضف تقييم لهذا المنتج
شارك أفكارك مع عملاء آخرين
إيجابيات
- Well-organized and didactic structure
- Detailed introduction to setting up the Python environment
- Useful reference material for Python libraries
- Includes visualization chapters with helpful charts
سلبيات
- Best suited for beginners; deeper insights into Python may be lacking
منصة موثوقة وثقة كاملة للمشتري
A
Ahmad
مشتري موثّق
“Fast delivery, great experience overall.”
03-Jul-26 · عبر Trustpilot
AM
abbas
مشتري موثّق
“Excellent item received as expected and before the estimated time. Thanks for the great service.”
19-Jul-26 · عبر Trustpilot
WA
Waleed
مشتري موثّق
“Thank you for your message. I received the product and it is very good ? I?m really impressed with how great it works! I will be happy to share my feedback on the website.”
11 February 2026 · عبر Trustpilot
AA
Ahmed
مشتري موثّق
“Very good the same exact product that i wanted good shipping and delivery”
10 June 2026 · عبر Trustpilot
AN
Ambhita
مشتري موثّق
“Package delivered on time”
10 July 2026 · عبر Trustpilot
الخروج الآمن
شحن عالمي
إسترجاع سهل
منتجات أصلية
تاريخ سعر المنتج
معلومات مهمة
- القيود: بالنسبة للمنتجات التي يتم شحنها دولياً، يُرجى ملاحظة أن أي ضمان من الشركة المصنعة قد لا يكون صالحاً؛ قد لا تتوفر خيارات خدمة الشركة المصنعة؛ قد لا تكون أدلة المنتج والتعليمات وتحذيرات السلامة مكتوبة بلغة بلد المقصد؛ قد لا يتم تصميم المنتجات (والمواد المصاحبة لها) وفقاً لمعايير بلد الوجهة والمواصفات ومتطلبات الملصقات؛ وقد لا تتوافق المنتجات مع الجهد الكهربي المستخدم في بلد الوجهة والمعايير الكهربائية الأخرى (تتطلب استخدام محوّل كهربي أو جهاز تحويل إذا كان ذلك مناسباً). المستلم مسؤول عن ضمان إمكانية استيراد المنتج بشكل قانوني إلى بلد الوجهة. عند الطلب من يوباي أو الشركات التابعة لها، يكون المستلم هو المستورد المسجل ويجب أن يلتزم بجميع القوانين واللوائح الخاصة ببلد الوجهة.
- ليست كل المنتجات المدرجة على يوباي معروضة للبيع، لأن يوباي هو محرك بحث عالمي. المنتجات تخضع للوائح التصدير / التجارة.
KWD 19
اطلب الآن واحصل عليه حول الإثنين, سبتمبر 14
هذا المنتج غير ممنوع في بلدي. (الرجاء الضغط على الرابط أعلاه إذا لم يكن هذا المنتج ممنوعاً في بلدك ، لذلك سيقوم فريقنا بمراجعته والسماح به.)
كمية:
معاملة آمنة
نوفر لك مدفوعات مشفّرة، وحماية متكاملة للمشتري، مع الالتزام بمعايير PCI DSS وشهادة ISO 27001:2022 لضمان أعلى مستويات الأمان في كل عملية شراء.
أفضل شركائنا اللوجستيين
أسرع توصيل عبر الحدود
المميزات والفوائد
- Comprehensive introduction to Python for scientific applications.
- Covers essential tools like Anaconda, JupyterLab, and key Python libraries.
- Easy-to-follow writing and organized material for effective learning.
- Empowers users to handle data visualization, analysis, and simulations.
- Perfect for beginners aiming to become Python experts.
- Develop practical skills for scientific research and collaboration.
ضمان Ubuy
تسوّق بثقة مع منتجات أصلية %100، ومدفوعات آمنة متوافقة مع معيار PCI DSS، وحماية بيانات معتمدة وفق ISO 27001، وشحن دولي سريع، وإرجاع مجاني*، وتغليف آمن لكل طلب.