Python 3 – Fundamentals






This Python 3 Foundation course gives you a fast and effective introduction to Python v3, regardless if it is your first programming language or if you already have experience with other languages like C, C++, C#, Java or similar.
Python is an open source (C & Python) portable scripting and general purpose high-level language with compilation/interpretation similar to that of Java (.pyc bytecode files). Python is more similar to plain English than most other programming languages, i.e Python provides for logical, readable and maintainable code.
Course introduction
The focus of this course is to give you as a participant a fast introduction to history and usefullness of Python as a programming language and also give you a box of tools to work with directly in your own business.
During the course we discuss and highlight the differences in between Python v2 and v3. Exercises are done using Python v3. The exercises could also be done usinge Python v2 if requested
Utbildningsformer
Remote
Längd
3 dagar
Pris
22450 kr
Target Audience
Programmers, testers and others involved in projects that will involve Python as a coding language.
Prerequisites
Knowledge of one "major" programming languages is positive but not mandatory.
Course Content: Python 3 - Fundamentals
Day 1
- Python - history/ overview
- Basic Data Types
- type-checking
- base types
- bindings
- built-in objects
- sequences
- lists
- tuples
- strings - mappings
- dictionaries - assignment
- Flow Control
- comments
- statements
- operators
- conditionals
- loops
- range
- Sequences and Mappings
- mutable vs immutable
- indexing sequences
- slices
- IN, NOT IN
- list initialisation & methods
- fast enumeration
- iterations over lists
- tuple initialisation & methods
- strings
- dictionaries
- iteration over dictionaries
Day 2
- Basic Input/Output
- input vs Raw_input
- eval
- the print statement
- the print function
- command line arguments
- reading from STDIN
- reading from files
- writing to files
- seek, tell
- basic string formatting
- Functions
- def keyword
- LGB scope
- return values
- arguments & parameters
- lambda functions
- map
- Exceptions
- raise
- assert
- try / except
- exception object hierachy
- warnings
Day 3
- Modules & Packages
- standard modules
- paths
- packages vs modules
- __init__ files
- import keyword
- namespaces
- user-defined modules
- docstring
- pydoc
- Object-oriented Programming
- basic principles
- classes
- instances
- attributes
- methods
- self
- instance attributes
- class attributes
- id
- type
- inheritance
- Subprocess
- os.system
- deprecated modules
- sub.call
- sub.check
- sub.popen
- redirect streams
- subprocess32
Referenser