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Introduction to Python Programming

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Course Overview

Python is a very powerful programming language used for many different applications. Over time, the huge community around this open source language has created quite a few tools to efficiently work with Python. In recent years, a number of tools have been built specifically for data science. As a result, analyzing data with Python has never been easier.

Course Length: 4 Days

Audience: Individuals interested in data science, or those who could benefit by adding Python to their tool belt.

Prerequisites: Some experience in working with data from Excel, databases, or text files.

What You're Going To Learn

  • Explore Python language fundamentals, including basic syntax, variables, and types
  • Create and manipulate regular Python lists
  • Use functions and import packages
  • Build Numpy arrays, and perform interesting calculations
  • Create and customize plots on real data
  • Supercharge your scripts with control flow, and get to know the Pandas DataFrame

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Course Outline

Lesson 1: Introduction to Python

  • Python Setup, Anaconda and Spyder
  • Quick tour of Spyder
  • History of Python
  • Variables, Types
  • Type conversion
  • Type specific functions
  • Functions, Methods and Attributes
  • Built-in functions, keywords
  • Methods vs. functions
  • Importing modules
  • Importing Modules
  • Data Structures

Lesson 2: Control Flow

  • If, elif, else, for, while
  • Exception Handling

Lesson 3: Data structures (Lists, Tuples, Sets, Dictionaries)

  • Conversions
  • Slicing

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Great energy from staff and teacher. Class went smoothly, questions and concerns were answered immediately. Candy, snacks, and drinks were a great touch.
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