Forwarded from Artem Ryblov’s Data Science Weekly
python-patterns
A collection of design patterns and idioms in Python.
Remember that each pattern has its own trade-offs. And you need to pay attention more to why you're choosing a certain pattern than to how to implement it.
Link: GitHub
Navigational hashtags: #armsite
General hashtags: #python #programming #patterns #development #engineering
@data_science_weekly
A collection of design patterns and idioms in Python.
Remember that each pattern has its own trade-offs. And you need to pay attention more to why you're choosing a certain pattern than to how to implement it.
Link: GitHub
Navigational hashtags: #armsite
General hashtags: #python #programming #patterns #development #engineering
@data_science_weekly
Forwarded from Кодим на Коленке | Уроки по программированию
ПОЛНЫЙ КУРС ПО SELENIUM
Добро пожаловать на бесплатный курс по Selenium, в данном видеокурсе/плейлисте будут рассмотрены практически все аспекты Selenium, включая фишки, лайфаки и прочее!
🗝 Курс живет здесь
Кодим на Коленке | #Python
Добро пожаловать на бесплатный курс по Selenium, в данном видеокурсе/плейлисте будут рассмотрены практически все аспекты Selenium, включая фишки, лайфаки и прочее!
🗝 Курс живет здесь
Кодим на Коленке | #Python
Forwarded from Artem Ryblov’s Data Science Weekly
Problem Solving with Algorithms and Data Structures using Python by Brad Miller and David Ranum, Luther College
This textbook is about computer science. It is also about Python. However, there is much more.
The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence.
This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving.
Authors cover abstract data types and data structures, writing algorithms, and solving problems. They look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.
Links:
- Site
- Book
Navigational hashtags: #armbooks #armcourses
General hashtags: #python #algorithms #datastructures #programming #cs #computerscience
@data_science_weekly
This textbook is about computer science. It is also about Python. However, there is much more.
The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence.
This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving.
Authors cover abstract data types and data structures, writing algorithms, and solving problems. They look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.
Links:
- Site
- Book
Navigational hashtags: #armbooks #armcourses
General hashtags: #python #algorithms #datastructures #programming #cs #computerscience
@data_science_weekly