We're still working on our article for Python 2. Please check back soon for more information.
Find a path to becoming a Python 2. Learn more at:
OpenCourser.com/topic/ikqqes/python
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Python 2.
Guide to the Python programming language that focuses on writing clear, concise, and effective code. It covers a wide range of topics, from the basics of the language to more advanced topics such as metaprogramming and concurrency.
Practical guide to data analysis with Python. It covers a wide range of topics, from data cleaning and wrangling to data visualization and machine learning.
Practical introduction to machine learning with Python. It covers a wide range of topics, from supervised learning and unsupervised learning to deep learning.
Hands-on introduction to deep learning with Python. It covers a wide range of topics, from the basics of deep learning to more advanced topics such as convolutional neural networks and recurrent neural networks.
Comprehensive guide to the Python programming language, covering all the major features of the language in detail. It great resource for anyone who wants to learn Python or improve their Python skills.
Collection of recipes for solving common programming problems in Python. It covers a wide range of topics, from basic tasks such as working with strings and files to more advanced topics such as concurrency and network programming.
Comprehensive introduction to the Python programming language, covering the basics of the language as well as more advanced topics such as object-oriented programming and data structures.
Practical guide to automating tasks with Python. It covers a wide range of topics, from web scraping and data analysis to automating social media and email.
Practical guide to data analysis and modeling in finance with Python. It covers a wide range of topics, from financial data analysis and visualization to financial modeling and forecasting.
Concise and comprehensive reference to the Python programming language, covering all the major features of the language in a clear and concise way.
Comprehensive introduction to the Python programming language and computer science concepts. It great resource for anyone who wants to learn Python and computer science fundamentals.
Beginner-friendly introduction to the Python programming language and computer science concepts. It great resource for anyone who wants to learn Python and computer science fundamentals.
Beginner-friendly introduction to the Python programming language. It uses a visual and interactive approach to teaching Python, making it a great resource for anyone who wants to learn Python in a fun and engaging way.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/ikqqes/python
Save
