• Title Python 201: (Slightly) Advanced Python Topics
• Author(s) Dave Kuhlman
• Publisher: DaveKuhlman.org (2018)
• Paperback N/A
• eBook HTML
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
• Share This:  

Book Description

This document is a syllabus for a second course in Python programming. This course contains discussions of several advanced topics that are of interest to Python programmers: regular expressions, unit tests, extending and embedding Python, parsing, GUI applications, guidance on packages and modules.

• N/A

• Amazon

• Python Programming
• Data Analysis and Data Mining
• Data Structures and Algorithms
• Computational Complexity

• Python 201: (Slightly) Advanced Python Topics (Dave Kuhlman)
• Book Homepage

• Intermediate Python (Obi Ike-Nwosu)

  Provides a reader with a holistic and in-depth knowledge of the Python language. It explains how methods and functions are related, how sequences can be created elegantly, the tools for functional programming, how user defined objects can be used.

• Intermediate Python (Muhammad Yasoob Ullah Khalid)

  Python is an amazing language with a strong and friendly community of programmers. This book aims to give you bits of information about some interesting topics which you can further explore after getting the basics of Python down your throat,

• Introduction to Computer Programming with Python (Harris Wang)

  This introduction to computer programming with Python begins with some of the basics of computing and programming before diving into the fundamental elements and building blocks of computer programs in Python language.

• Fundamentals of Python Programming (Richard L. Halterman)

  It focuses on introducing programming techniques and developing good habits. To that end, our approach avoids some of the more esoteric features of Python and concentrates on the programming basics that transfer directly to other imperative programming.

• Introduction to Python Programming (Udayan Das, et al.)

  This book provides a comprehensive foundation in programming concepts and skills, teaches basic programming concepts, problem-solving skills, and the Python language using hands-on activities.

• Automate the Boring Stuff with Python (Albert Sweigart)

  Learn how to use Python to write programs that do in minutes what would take you hours to do by hand - no prior programming experience required. You'll create Python programs that effortlessly perform useful and impressive feats of automation.

• Python for Everybody: Exploring Data in Python 3

  This book is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.

• Python for Data Analysis: Pandas, NumPy, and Jupyter

  The focus is specifically on Python programming, libraries, and tools as opposed to data analysis methodology. This is the Python programming you need for data analysis. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.

• O'Reilly® Python Data Science Handbook: Essential Tools

  Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all - IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.

• Architecture Patterns with Python (Harry Percival, et al.)

  Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices, it introduces proven architectural design patterns to help Python developers manage application complexity, and get the most value out of their test suites.

• Clean Architectures in Python: Better Software Design

  The clean architecture is the opposite of spaghetti code, where everything is interlaced and there are no single elements that can be easily detached from the rest and replaced without the whole system collapsing.

• Problem Solving with Algorithms/Data Structures using Python

  This is a textbook about computer science. It is also about Python. However, there is much more. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.

• Data Structures and Algorithms in Python (Michael Goodrich)

  A comprehensive, definitive introduction to data structures in Python. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation using Python.