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Knowledge map for course Python for Science

The foundation of Hyperskill — thousands of topics organized by domain and connected by prerequisites. Expand any category to find topics, check their prerequisites, and see how concepts connect to each other. Representation of a knowledge map with trees of topics
4.3306 already learning 3 weeks ago last updated

Dive into Python for Science, a unique course for biologists, mathematicians, and all enthusiasts eager to learn essential data skills through popular science projects.

Discover the power of the Knowledge map! Monitor your progress in real-time, grasp topic connections, and get a clear picture of your learning journey.
Computer science 0 / 139
Software development foundations 0 / 14
Programming languages 0 / 84
Python 0 / 84
Basics 0 / 14
Working with data 0 / 32
Data types and operations 0 / 15
Collections 0 / 13
Lists 0 / 7
Sets and tuples 0 / 2
Dictionaries 0 / 3
Advanced collections 0 / 1
Working with files 0 / 4
Control flow 0 / 18
Code quality 0 / 5
Additional instruments 0 / 3
Coding environments 0 / 3
Object-oriented programming 0 / 9
Python libraries 0 / 3
System administration and DevOps 0 / 3
Command line 0 / 3
Data science 0 / 38
Math 0 / 39
Natural science 0 / 10
  2. Computer science
  3. Programming languages
  4. Python
  5. Working with data
  6. Collections
  7. Sets and tuples
Sets and tuples