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Data Wrangling with Python: Tips and Tools to Make Your Life Easier (1st Edition)

Author: Jacqueline Kazil
Binding: Paperback
Paper Quality: Black & White Paper
Category: Data Science / Programming / Python
Recommended For: Data analysts, data scientists, Python programmers, and students looking to improve their data cleaning and manipulation skills.

Key Points

  • Practical Approach – Focuses on real-world data wrangling problems and how to solve them efficiently using Python.

  • Hands-On Examples – Includes numerous examples with step-by-step code to demonstrate cleaning, parsing, and transforming messy datasets.

  • Covers Popular Libraries – Uses powerful Python libraries such as Pandas, NumPy, and BeautifulSoup to manipulate data effectively.

  • Data Pipeline Concepts – Teaches how to build and manage data pipelines from ingestion to transformation.

  • Beginner-Friendly – Suitable for early-career professionals or students transitioning into data science roles.

  • Insightful Tips – Offers valuable insights into handling inconsistencies, missing data, and common pitfalls in real datasets.

  • Versatile Use Cases – Applicable to web data, public datasets, and business analytics problems across industries.

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