- Heimasíða /
- Bækur /
- Tölvur og tækni /
- Databases & Big Data /
- Data Processing /
- The Pandas Workshop: A comprehensive guide to...
The Pandas Workshop: A comprehensive guide to using Python for data analysis with real-world case studies
ISK 10265
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from Bandaríkin
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
The Pandas Workshop will teach you how to be more productive with data and generate real business insights to inform your decision-making.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
Upplýsingar um vöru
| Item Weight | 1.5 lbs (680 grams) |
VÖRULÝSING
The Pandas Workshop: A comprehensive guide to using Python for data analysis with real-world case studies
Spurningar og svör viðskiptavina
-
spurningu:
Do I need prior knowledge of pandas to start this workshop?
svara: No, previous knowledge of pandas is not necessary. -
spurningu:
What programming language do I need to know before using this book?
svara: You should have prior experience working with the Python programming language. -
spurningu:
What practical skills will I gain from this workshop?
svara: You will learn data retrieval, transformation, visualization, and modeling techniques using pandas.
Data Processing Editorial Review
**** The landscape of data analysis and manipulation has been enriched by the introduction of "The Pandas Workshop," a comprehensive guide that caters to both novices and those with some experience in using Pandas. This book distinguishes itself by offering a hands-on approach, integrating explanations with exercises throughout each chapter. The interactive format keeps readers engaged and allows for practical application of concepts as they are introduced. Readers commend the book for its thoroughness—spanning over 700 pages, it dives deep into not just Pandas, but also touches on essential tools like NumPy and visualization libraries such as Matplotlib and Seaborn. The inclusion of diverse datasets provides a wealth of practical examples that encourages experimentation and enhances understanding. However, some readers noted that the variety of datasets might lead to confusion as they apply different functions, suggesting that a unifying dataset might streamline the learning process. The book excels in breaking down complex topics like date/time handling, with dedicated chapters that reveal the intricacies of these operations, catering to both those new to the subject and seasoned professionals looking for a refresher. Notably, the clear, conversational tone of the book simplifies complex ideas, making it feel accessible and personable. One of the most praised features of "The Pandas Workshop" is how it bolsters hands-on practice with plotting and visualizing data, an essential skill in data science. The structured learning path, combined with reminders and clear examples, ensures that readers do not get lost in the dense material. Overall, "The Pandas Workshop" stands out as a recommended resource for anyone on their data science journey, especially those eager to master Pandas. Whether you are just starting or looking to refine your skills, this book offers valuable insights and practical knowledge necessary for success in the field. **
Customer Reviews & Ratings
-
5 stjarna
100%
-
4 stjarna
0%
-
3 stjarna
0%
-
2 stjarna
0%
-
1 stjarna
0%
Umsögn um þessa vöru
Deildu áliti þínu með öðrum viðskiptavinum
Kostir
- Hands-on learning approach with integrated exercises throughout chapters.
- Comprehensive coverage of Pandas plus additional tools like NumPy and visualization libraries.
- Clear and accessible writing style, engaging tone.
- In-depth treatment of date/time data management.
- Diverse datasets provide rich learning experiences.
- Effective organization and structure enhance understanding.
Gallar
- Extensive use of various datasets may sometimes lead to confusion.
Product Price History
Mikilvægar upplýsingar
- Takmarkanir: Fyrir vörur sem eru sendar á alþjóðavettvangi, vinsamlegast hafðu í huga að framleiðendaábyrgð gæti ekki verið gild; þjónustuvalkostir framleiðanda eru hugsanlega ekki tiltækir; vöruhandbækur, leiðbeiningar og öryggisviðvaranir gætu ekki verið á tungumálum áfangalands; Vörurnar (og meðfylgjandi efni) gætu ekki vera hannaðar í samræmi við staðla, forskriftir og merkingarkröfur ákvörðunarlands; og vörurnar eru hugsanlega ekki í samræmi við spennu áfangastaðarlands og annarra rafstaðla (þarf að nota millistykki eða breytir ef við á). Viðtakandi ber ábyrgð á því að hægt sé að flytja vöruna inn á löglegan hátt til ákvörðunarlands. Þegar pantað er frá Ubuy eða samstarfsfélögum þess er viðtakandinn skráningaraðili og verður að fara að öllum lögum og reglum ákvörðunarlands.
- Ekki eru allar vörur sem skráðar eru á Ubuy til sölu þar sem Ubuy er alþjóðleg leitarvél. Vörur eru háðar útflutnings-/viðskiptareglum.
ISK 10265
Currently unavailable.
We don't know when or if this item will be back in stock.
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.)
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Eiginleikar og kostir
- Learn to analyze real datasets with Python using pandas.
- Unlock deeper insights from diverse data sources like databases and web data.
- Engage in hands-on exercises to build confidence and experience.
- Quickly write clean code and understand practical applications.
- Tackle real-world scenarios to improve data science skills.
- Prepare for real data science projects with practical challenges.
