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Introduction to Data Analysis in Python
course content

Course Content

Introduction to Data Analysis in Python

Introduction to Data Analysis in Python

1. Basics
What is Python?Hello, Python!CommentsChallengeMath SkillsVariablesNaming Rules and Conventions
2. Data Types
Data Types in PythonNumeric TypesWhat is a String?Multiline StringsConcatenationAccessing String ElementsWhat is a List?Updating Lists
3. Control Flow
Boolean TypeIf/else StatementsIndentationIf/elif/elseChallenge 1Challenge 2For LoopIncrementing and DecrementingWhile Loop
4. Functions and Modules
Built-in FunctionsImporting ModulesUsing ModulesChallengeDefining FunctionsChallengeLambda Functions
5. Introduction to NumPy
What is the NumPy?NumPy ArraysArrays OperationsAggregate Functions2-D ArraysAggregating in 2-D Arrays

bookWhat is the NumPy?

NumPy (Numerical Python) is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects, and many fast operations on arrays (including statistics, linear algebra, sorting, transforming, and much more).

To get started with NumPy, you need to import this library. A common convention is to use the np alias: import numpy as np.

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Section 5. Chapter 1
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