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Data Analysis with Python: A Modern Approach
Data Analysis with Python: A Modern Approach

Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.

Key Features

  • Bridge your data analysis...
Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition
Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition

Learn to implement complex data structures and algorithms using Python

Key Features

  • Understand the analysis and design of fundamental Python data structures
  • Explore advanced Python concepts such as Big O notation and dynamic programming
  • Learn functional...
Mastering PostgreSQL 11: Expert techniques to build scalable, reliable, and fault-tolerant database applications, 2nd Edition
Mastering PostgreSQL 11: Expert techniques to build scalable, reliable, and fault-tolerant database applications, 2nd Edition

Master the capabilities of PostgreSQL 11 to efficiently manage and maintain your database

Key Features

  • Master advanced concepts of PostgreSQL 11 with real-world datasets and examples
  • Explore query parallelism, data replication, and database performance while working with...
Microservices for the Enterprise: Designing, Developing, and Deploying
Microservices for the Enterprise: Designing, Developing, and Deploying
Understand the key challenges and solutions around building microservices in the enterprise application environment. This book provides a comprehensive understanding of microservices architectural principles and how to use microservices in real-world scenarios.

Architectural challenges using microservices with service
...
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Numerical Computing with Python: Harness the power of Python to analyze and find hidden patterns in the data
Numerical Computing with Python: Harness the power of Python to analyze and find hidden patterns in the data

Understand, explore, and effectively present data using the powerful data visualization techniques of Python

Key Features

  • Use the power of Pandas and Matplotlib to easily solve data mining issues
  • Understand the basics of statistics to build powerful predictive data...
Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition
Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition

Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.

Key Features

  • Learn the fundamentals of Python programming with interactive projects
  • Apply Python to data...
Python Interviews: Discussions with Python Experts
Python Interviews: Discussions with Python Experts

Mike Driscoll takes you on a journey talking to a hall-of-fame list of truly remarkable Python experts. You'll be inspired every time by their passion for the Python language, as they share with you their experiences, contributions, and careers in Python.

Key Features

  • Hear from these...
Python Descriptors: Understanding and Using the Descriptor Protocol
Python Descriptors: Understanding and Using the Descriptor Protocol
Create descriptors and see ideas and examples of how to use descriptors effectively. In this short book, you’ll explore descriptors in general, with a deep explanation of what descriptors are, how they work, and how they're used. Once you understand the simplicity of the descriptor protocol, the author delves into...
Modern Python Standard Library Cookbook: Over 100 recipes to fully leverage the features of the standard library in Python
Modern Python Standard Library Cookbook: Over 100 recipes to fully leverage the features of the standard library in Python

Build optimized applications in Python by smartly implementing the standard library

Key Features

  • Strategic recipes for effective application development in Python
  • Techniques to create GUIs and implement security through cryptography
  • Best practices for...
Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python
Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python

Enhance your data analysis and predictive modeling skills using popular Python tools

Key Features

  • Cover all fundamental libraries for operation and manipulation of Python for data analysis
  • Implement real-world datasets to perform predictive analytics with Python
  • ...
Python Data Analytics: With Pandas, NumPy, and Matplotlib
Python Data Analytics: With Pandas, NumPy, and Matplotlib
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. 

This revision is fully updated with new content on social media data analysis, image
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