Treading on Python Volume 1: Foundations of Python

Description

Treading on Python is designed to bring developers and others who are anxious to learn Python up to speed quickly. Not only does it teach the basics of syntax, but it condenses years of experience. You will learn warts, gotchas, best practices and hints that have been gleaned through the years in days. You will hit the ground running and running in the right way.

Get the book

Amazon.com

Search the book

eBay.com

Search the book

Similar books

• 

  Treading on Python Volume 2: Intermediate Python

  By Matt Harrison

  Do you want to take your Python to the next level?

• 

  Beginning Python: From Novice to Professional

  By Magnus Lie Hetland

  * Totaling 900 pages and covering all of the topics important to new and intermediate users, Beginning Python is intended to be the most comprehensive book on the Python ever written. * The 15 sample projects in Beginning Python are ...

• 

  Getting to Know Python

  By Simone Payment

  Head First Programming: A Learner's Guide to Programming Using the Python Language. ... Briggs, Jason R. Python for Kids: A Playful Introduction to Programming. ... Treading on Python, Volume 1: Foundations of Python.

• 

  Beginning Programming with Python For Dummies

  By John Paul Mueller

  Due to its ease of use and flexibility, Python is constantly growing in popularity—and now you can wear your programming hat with pride and join the ranks of the pros with the help of this guide.

• 

  Late Bloomer

  By Carol Tyler

  This new book presents the biggest, richest and most delightful collection of Tyler's work to date featuring many new and previously unpublished works. p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 13.9px Arial; color: #424242}

• 

  Pandas for Everyone: Python Data Analysis

  By Daniel Y. Chen

  Meier Fitter () kmf1 . fit (rx1 [' stop' ], event_observed=rx1 ['event" |) kmf2 = Kaplan.Meier Fitter () kmf2. fit (rx2[' stop' ], event observed=rx2['event' |) fig, axes = plt. subplots () # put both plots on the same axes kmf 1.

• 

  Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

  By Wes McKinney

  You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python.

• 

  Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization

  By Stefanie Molin

  This book will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn.

• 

  Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python, 2nd Edition

  By Matt Harrison, Theodore Petrou

  This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.

• 

  Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights

  By Michael Walker

  The book shows you how to view data from multiple perspectives, including data frame and column attributes.