/Python_Basics

:snake: Syntax, working with Shell commands, Files, Text Processing, and more...

Primary LanguagePython

Python Basics

Introduction to Python - Syntax, working with Shell commands, Files, Text Processing, and more...

  • Content here is for a one-day workshop for Python beginners
  • Python curated resources for more complete resources list, including tutorials for beginners
  • For more related resources, visit scripting course

Chapters

  • Introduction
    • Installation, Hello World example, Python Interpreter, Python Standard Library
  • Number and String data types
    • Numbers, String, Constants, Built-in Operators
  • Functions
    • def, print function, range function, type function, Variable Scope
  • Getting User input
    • Integer input, Floating point input, String input
  • Executing external commands
    • Calling Shell commands, Calling Shell commands with expansion, Getting command output and redirections
  • Control Structures
    • Condition checking, if, for, while, continue and break
  • Lists
    • Assigning List variables, Slicing and Modifying Lists, Copying Lists, List Methods and Miscellaneous, Looping, List Comprehension, Getting List as user input, Getting random items from list
  • Sequence, Set and Dict data types
    • Strings, Tuples, Set, Dictionary
  • Text Processing
    • String methods, Regular Expressions, Pattern matching and extraction, Search and Replace, Compiling Regular Expressions, Further Reading on Regular Expressions
  • File handling
    • open function, Reading files, Writing to files, Inplace editing with fileinput
  • Command line arguments
    • Known number of arguments, Varying number of arguments, Using program name in code, Command line switches
  • Exception Handling and Debugging
    • Exception Handling, Syntax check, pdb, Importing program
  • Docstrings
    • Style guide, Palindrome example
  • Testing
    • assert statement, Using assert to test a program, Using unittest framework, Using unittest.mock to test user input and program output, Other testing frameworks
  • Further Reading
    • Standard topics not covered, Useful links on coding, Python extensions

ebook

  • Read as ebook on gitbook
  • Download ebook for offline reading - link

Acknowledgements


License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License