Python

Python

Python is a programming language that is interpreted, high-level, and designed for general-purpose use. It was created by Guido van Rossum and was initially released in 1991. Python is known for its design philosophy, which places a strong emphasis on code readability. This is achieved through its distinctive use of significant whitespace, making the structure of the code visually clear and promoting a clean and readable coding style. The language has gained widespread popularity for its simplicity, versatility, and ease of learning, making it a go-to choice for a wide range of applications, from web development and data analysis to artificial intelligence and scientific computing.

COURSE SUMMARY

By the end of this course, participants will have the knowledge and skills to understand and implement the following:

  • Introduction to Python
  • Intermediate Python
  • Introduction to Databases in Python
  • Interactive Data Visualization with Bokeh
  • Python Data Science Toolbox (Part 2)
  • Python Data Science Toolbox (Part 1)
  • Introduction to Importing Data in Python
  • pandas Foundations
  • Manipulating DataFrames with pandas
  • Merging DataFrames with pandas
  • Introduction to Network Analysis in Python
Using the Python Interpreter
  • Invoking the Interpreter
  • The Interpreter and Its Environment
An Informal Introduction to Python
  • Using Python as a Calculator
  • First Steps Towards Programming
More Control Flow Tools
  • Statements
  • Statements
  • The range() Function
  • Statements, and else Clauses on Loops
  • Statements
  • Defining Functions
  • More on Defining Functions
  • Intermezzo: Coding Style
Data Structures
  • More on Lists
  • The del statement
  • Tuples and Sequences
  • Sets
  • Dictionaries
  • Looping Techniques
  • More on Conditions
  • Comparing Sequences and Other Types
Modules
  • More on Modules
  • Standard Modules
  • The dir() Function
  • Packages
Input and Output
  • Fancier Output Formatting
  • Reading and Writing Files
Errors and Exceptions
  • Syntax Errors
  • Exceptions
  • Handling Exceptions
  • Raising Exceptions
  • User-defined Exceptions
  • Defining Clean-up Actions
  • Predefined Clean-up Actions
Classes
  • A Word About Names and Objects
  • Python Scopes and Namespaces
  • A First Look at Classes
  • Random Remarks
  • Inheritance
  • Private Variables
  • Odds and Ends
  • Iterators
  • Generators
  • Generator Expressions
Brief Tour of the Standard Library
  • Operating System Interface
  • File Wildcards
  • Command Line Arguments
  • Error Output Redirection and Program Termination
  • String Pattern Matching
  • Mathematics
  • Internet Access
  • Dates and Times
  • Data Compression
  • Performance Measurement
  • Quality Control
  • Batteries Included
Brief Tour of the Standard Library — Part II
  • Output Formatting
  • Templating
  • Working with Binary Data Record Layouts
  • Logging
  • Weak References
  • Tools for Working with Lists
  • Decimal Floating Point Arithmetic
  • Virtual Environments and Packages
Introduction
  • Creating Virtual Environments
  • Managing Packages with pip
Interactive Input Editing and History Substitution
  • Tab Completion and History Editing
  • Alternatives to the Interactive Interpreter
Floating Point Arithmetic: Issues and Limitations
  • Representation Error
Appendix
  • Interactive Mode