- Pagina principala /
- Cărți /
- Calculatoare și tehnologie /
- Știința informatică /
- AI & Machine Learning /
- Ultimate Data Science Programming in Python: ...
Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools (English Edition)
MDL 782
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from SUA
Ubuy depune eforturi pentru a vă proteja securitatea și confidențialitatea. Sistemul nostru avansat de securitate a plăților asigură confidențialitatea prin criptarea informațiilor dvs. în timpul transmisiei folosind protocoalele AES (Advanced Encryption Standards) și SSL (Secure Socket Layer). Detaliile dvs. de plată sunt 100% sigure, deoarece nu partajăm datele dvs. de plată cu vânzători terți.
This ultimate book for mastering open-source libraries of data science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization.
Fast
Shipping
Retur
gratuit*
Ambalaj sigur
Produse originale 100%
PCI DSS Compliance
ISO 27001 Certified
Ce Iese în Evidență
Detalii produs
- DescriptionIn today's data-driven world, the ability to extract meaningful insights from vast datasets is crucial for success in various fields. This ultimate book for mastering open-source libraries of data science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization.Discover how to use Python libraries like NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. This book also covers scientific computing with SciPy and integrates ChatGPT to boost your data science workflow. Designed for data scientists, analysts, and beginners, it offers a practical, hands-on approach to mastering data science fundamentals. With real-world applications and exercises, you will turn raw data into actionable insights, gaining a competitive edge. This book covers everything you need, including open-source libraries, Visual Explorer tools, and ChatGPT, making it a one-stop resource for Python-based data science.Readers will gain confidence after going through this book and we assure you that all the minute details have been taken into consideration while delivering the content. After reading, learning, and practicing from this book, we are sure that all IT professionals, novices, or job seekers will be able to work on data science projects thus proving their mettle.Key Features● Master key Python libraries like NumPy, Pandas, and Seaborn for effective data analysis and visualization.● Understand complex data science concepts through simple explanations and practical examples.● Get hands-on experience with 300+ solved examples to solidify your Python data science skills.What you will learn● Learn to work with popular IDEs like VS Code and Jupyter Notebook for efficient Python development.● Master open-source libraries such as NumPy, SciPy, Matplotlib, and Pandas through advanced, real-world examples.● Utilize automated EDA tools like PyGWalker and AutoViz to simplify complex data analysis.● Create sophisticated visualizations like heatmaps, FacetGrid, and box plots using Matplotlib and Seaborn.● Efficiently handle missing data, outliers, and perform filtering, sorting, grouping, and aggregation using Pandas and Polars.Who this book is forThis book is ideal for diploma, undergraduate, and postgraduate students from engineering and science fields to programming and software professionals. It is also perfect for data science, ML, and AI engineers looking to expand their expertise in cutting-edge technologies.Table of Contents1. Environmental Setup for Using Data Science Libraries in Python2. Exploring Numpy Library for Data Science in Python3. Exploring Array Manipulations in Numpy4. Exploring Scipy Library for Data Science in Python5. Line Plot exploration with Matplotlib Library6. Charting Data With Various Visuals Using Matplotlib7. Exploring Pandas Series for Data Science in Python8. Exploring Pandas Dataframe for Data Science in Python9. Advanced Dataframe Filtering Techniques10. Exploring Polars Library for Data Science in Python11. Exploring Expressions in Polars12. Exploring Seaborn Library for Data Science in Python13. Crafting Seaborn Plots: KDE, Line, Violin and Facets14. Integrating Data Science Libraries with ChatGPT Prompts15. Exploring Automated EDA Libraries for Machine Learning16. Case Study Using Python Data Science Libraries
| Publisher | BPB Publications |
| Publication date | September 25, 2024 |
| Language | English |
| Print length | 556 pages |
| ISBN-10 | 9365895669 |
| ISBN-13 | 978-9365895667 |
| Item Weight | 1.95 pounds (880 grams) |
| Dimensions | 7.5 x 1.26 x 9.25 inches (19.1 x 3.2 x 23.5 cm) |
Cine Ar Trebui să Cumpere?
-
Aspiring Data Scientists
Those looking to build a strong foundation in data science programming and practical application using Python.
-
Intermediate Programmers
Programmers familiar with Python who want to delve deeper into data science libraries and their functionalities.
-
Self-learners
Individuals interested in self-paced learning through hands-on projects and extensive example codes provided in the product.
-
Complete Beginners
Beginners with no programming skills may find the content overwhelming without prior knowledge in Python.
-
Advanced Data Scientists
Experienced practitioners may not find value in basic concepts and introductory examples covered in this product.
-
Non-Python Users
Individuals who do not intend to use Python for data science will find this guide irrelevant and unhelpful.
DESCRIEREA PRODUSULUI
Întrebări și răspunsuri ale clienților
-
întrebare:
What is covered in the 'Ultimate Data Science Programming in Python' book?
Răspuns: The book is a comprehensive guide to Python programming for data science, covering key libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. It includes 300 programs to provide hands-on experience, making it suitable for beginners and advanced users alike. Readers will also find two intricate projects and extensive coverage of Exploratory Data Analysis (EDA) using GUI tools. This blend ensures a practical understanding of theoretical concepts, allowing readers to apply their skills in real-world scenarios. -
întrebare:
Who is the target audience for this book?
Răspuns: This book caters to a diverse audience, including aspiring data scientists, students in computer science and analytics, as well as professionals looking to upskill in Python and data science applications. With its carefully structured content, it serves both novices who need foundational knowledge and experienced programmers seeking to master data science libraries. The practical examples prepare readers for projects in various domains, ranging from finance to healthcare analytics. -
întrebare:
What programming languages do I need to know before starting this book?
Răspuns: While prior knowledge of Python is highly beneficial, the book is designed for users at all skill levels. Beginners can follow along with foundational programming concepts introduced in the early chapters, making it accessible. For those familiar with Python, the book deepens understanding of data science techniques using Python libraries. This dual approach ensures that all readers find value, whether they are just starting or looking to enhance their programming capabilities. -
întrebare:
Are there real-world projects included in this book?
Răspuns: Yes, the book features two detailed projects designed to integrate and apply the concepts learned throughout the chapters. These projects guide the reader through the entire data science workflow, from data gathering and processing to analysis and visualization. The inclusion of real-world applications helps reinforce learning by empowering readers to implement solutions to challenges they may face in professional environments. Completing these projects builds confidence and practical skills in data science. -
întrebare:
What data science libraries are emphasized in the book?
Răspuns: The book emphasizes several fundamental Python libraries essential for data science, including Pandas for data manipulation, NumPy for numerical computing, Matplotlib, and Seaborn for data visualization, and Scikit-learn for machine learning. Each library's capabilities are explored through 300 practical examples, allowing readers to explore various functions and their applications. Mastering these libraries equips readers with robust tools to analyze and manipulate data effectively. -
întrebare:
How does the book address Exploratory Data Analysis (EDA)?
Răspuns: Exploratory Data Analysis (EDA) is crucial for understanding the data before modeling, and this book dedicates significant attention to it. Using GUI tools, the book teaches readers to visualize data distributions and relationships intuitively. EDA helps identify patterns, anomalies, and insights that guide analytical decision-making. The focus on GUI tools makes EDA more approachable for readers who may prefer graphical overcoding-intensive methods, thus broadening its appeal. -
întrebare:
Is this book suitable for someone who's not technically inclined?
Răspuns: Absolutely! The book is structured to accommodate readers with varying technical backgrounds. Complex concepts are broken down into manageable sections, with thorough explanations and practical examples promoting understanding. The hands-on approach through numerous coding exercises further aids retention and learning. This makes the book ideal for anyone interested in data science, regardless of their initial confidence in programming or analytical skills. -
întrebare:
Can this book help in preparing for data science job interviews?
Răspuns: Yes, the insights and skills gained from 'Ultimate Data Science Programming in Python' are invaluable for preparing for data science job interviews. The book covers essential topics that employers often prioritize, such as coding in Python, data manipulation, machine learning techniques, and EDA. By working through the exercises and projects, readers can build a solid portfolio of practical skills to showcase at interviews, helping them demonstrate their competence and readiness for data science roles. -
întrebare:
What are the benefits of using GUI tools for learning data science?
Răspuns: Using GUI tools in learning data science offers several advantages, notably enhancing interactivity and visual learning. GUI tools provide immediate feedback on data visualizations and manipulations, making it easier to grasp complex concepts. They enable users to explore data in an intuitive manner without deep coding requirements, appealing to those who benefit from visual aids. This approach helps demystify data science, making it more approachable for students and professionals alike. -
întrebare:
Where can I buy 'Ultimate Data Science Programming in Python'?
Răspuns: You can purchase 'Ultimate Data Science Programming in Python: Master data science libraries with 300 programs, 2 projects, and EDA GUI tools English Edition' on Ubuy. Ubuy is a reliable online platform offering a range of products, and it provides easy access to this insightful book tailored for both aspiring and experienced data scientists in Moldova.
AI & Machine Learning Editorial Review
Recenziile și evaluările clienților
-
5 stele
100%
-
4 stele
0%
-
3 stele
0%
-
2 stele
0%
-
1 stele
0%
Faceți o recenzie pentru acest produs
Spuneți-vă părerile și altor clienți
Pro
- Extensive library coverage
- Hands-on projects included
- User-friendly EDA tools
- Clear and concise explanations
- Great for beginners and advanced
Contra
- Some examples may feel repetitive.
Platform Trust & Buyer Confidence
“The product received very good packaging & safe…Thank You”
“Accurate delivery timing given”
“Not madly expensive like I thought, and much quicker than promised.”
“Never dealt with Ubuy before, but everything worked out great. Seamless cross border purchasing and shipping. Thanks!”
“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”
Istoric de Preț al Produsului
Important
- Limite: Pentru produsele expediate la nivel internațional, vă rugăm să rețineți că este posibil ca garanția producătorului să nu fie valabilă; este posibil ca opțiunile de service ale producătorului să nu fie disponibile; este posibil ca manualele, instrucțiunile și avertismentele de siguranță ale produsului să nu fie în limba țării de destinație; este posibil ca produsele (și materialele însoțitoare) să nu fie proiectate în conformitate cu standardele, specificațiile și cerințele privind etichetarea din țara de destinație; este posibil ca produsele să nu fie conforme cu voltajul și cu alte standarde electrice din țara de destinație (necesitând utilizarea unui adaptor sau convertor, dacă este cazul). Destinatarul este responsabil pentru asigurarea faptului că produsul poate fi importat legal în țara de destinație. Când comandați de pe Ubuy sau de la afiliații acestuia, destinatarul este importatorul înregistrat și trebuie să respecte toate legile și reglementările din țara de destinație
- Nu toate produsele listate pe Ubuy sunt de vânzare, deoarece Ubuy este un motor de căutare global. Produsele sunt supuse reglementărilor privind exportul/comerțul.
MDL 782
Comandați acum și primiți Joi, Iulie 23
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Caracteristici și avantaje
- Master essential Python libraries like NumPy, Pandas, and Matplotlib.
- Learn data manipulation, analysis, and visualization with hands-on exercises.
- Integrate ChatGPT to enhance your data science workflow.
- Suitable for beginners, data scientists, and analysts looking to excel.
- Includes real-world applications to turn raw data into actionable insights.
- Complete resource covering everything needed for Python-based data science.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.

