Python Data Science Essentials 3rd Edition PDF

Welcome to the companion website for Python Data Science Essentials – Third Edition, published by Packt.This book is designed to get you up and running with the popular Python data analysis platform. The book is divided into five sections that take you through different aspects of performing effective data science using Python.

Section 1: Getting Started

Section 2: Munging Data

Section 3: Learning from Data

Section 4: Visualization

Section 5: Advanced Topics

The Data Science Essentials In Python Pdf takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow.

About The Python Data Science Essentials Pdf

The Data Science Essentials In Python Pdf starts by introducing you to setting up your essential data science toolbox. Then it will guide you across all the data munging and preprocessing phases. This will be done in a manner that explains all the core data science activities related to loading data, transforming and fixing it for analysis, as well as exploring and processing it. Finally, it will complete the overview by presenting you with the main machine learning algorithms, the graph analysis technicalities, and all the visualization instruments that can make your life easier in presenting your results.

Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.

In this walkthrough, structured as a data science project, you will always be accompanied by clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.

What you will learn

  • Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux
  • Get data ready for your data science project
  • Manipulate, fix, and explore data in order to solve data science problems
  • Set up an experimental pipeline to test your data science hypothesis
  • Choose the most effective and scalable learning algorithm for your data science tasks
  • Optimize your machine learning models to get the best performance
  • Explore and cluster graphs, taking advantage of interconnections and links in your data

Key Features

  • Quickly get familiar with data science using Python
  • Save time – and effort – with all the essential tools explained
  • Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience

Table of Contents for Python Data Science Essentials 3rd Edition PDF

  1. First Steps
  2. Data Munging
  3. The Data Science Pipeline
  4. Machine Learning
  5. Social Network Analysis
  6. Visualization

Leave a Comment Cancel reply

Exit mobile version