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Python

Python has become one of the most popular programming languages for data management and analysis due to its simplicity, versatility, and extensive libraries. With its robust data handling capabilities, Python offers a powerful platform for managing and manipulating large datasets efficiently. This mind map aims to explore the various ways Python can be used for data managementn.

Edited at 2023-03-13 14:59:21

Bujar Raufi

Recent works View more works>>

Python
Python has become one of the most popular programming languages for data management and analysis due to its simplicity, versatility, and extensive libraries. With its robust data handling capabilities, Python offers a powerful platform for managing and manipulating large datasets efficiently. This mind map aims to explore the various ways Python can be used for data managementn.

Python

Bujar Raufi

Recent works View more works>>

Python
Python has become one of the most popular programming languages for data management and analysis due to its simplicity, versatility, and extensive libraries. With its robust data handling capabilities, Python offers a powerful platform for managing and manipulating large datasets efficiently. This mind map aims to explore the various ways Python can be used for data managementn.

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Python for data Management

Unit 1: First programs

Computer Science overview

Algorithms

Why Python

First program

Unit summary

Formative Quiz

Unit 1 Worksheet

Anaconda Installation

Anaconda Documentation

Unit 2: Basic Maths

Variables, Constants and Literals

Variable Resources

Unit2-N01-variables-and-types

Engaging Code Interface (Part 3 - Fix the names)

Engaging Code Interface (Part 4 - Fix the Errors)

Coding Standards

Variables and Literals

Math functions

Arithmetic Operations Resources

Math Operations

Engaging Code Interface (Part 2 - Code the Equations )

Engaging Code Interface (Part 3 - C Fix the code - Brackets)

E01 - Volume of a jug

E02 - Path of a Robot

Strings

Unit2-N02-strings

Strings (Resources)

Same material as strings slides. No reference resources

Engaging Code Interface (Part 1)

Formating Strings

Engaging Code Interface (Part 2)

Engaging Code Interface (Part 3)

Engaging Code Interface (Part 4)

Engaging Code Interface (Part 5)

Unit review

Unit 3: Decisions and Loops

Making SimpleDecisions

Engaging Code Interface (Part 3 - Fix the elevator)

Making complex decisions

EngagingChange the tax rate Code Interface (Part 4 - Add in condition)

EngagingChange the tax rate Code Interface (Part 4 - Change the tax rate)

Flowcharts

Analyzing Strings

Engaging Code Interface (Fix the code - String Processing)

Boolean Data Types

Engaging Code Interface (Fix the code - comparisons)

Engaging Code Interface (Build a truth table)

While Loops

Engaging Code Interface (Part 4 - Calculate the Average number)

For loops

Engaging Code Interface (Part 5 - Find the highest value)

Processing Strings with Loops

Engaging Code Interface (Part 7 - Average Grades)

Unit Review

Test your understanding

Unit 4: Managing Data

Functions

Implementing and testing functions

Parameter passing

Variable Scope

Engaging Code Interface (Part 5 - Complete the functions)

Lists

List Operations

Common List Algorithms

Engaging Code Interface (Part 3 - Complete the functions)

Lists with Functions

Tables of Data

Engaging Code Interface (Part 4 - Print the Population Table)

Unit Review

Error Handling

User Defined Functions

Collections

List Algos

Unit 5: File processing

Reading and Writing text files

Engaging Code Interface (Part 2 - Process the Text File)

Processing Text Input and Output

Engaging Code Interface (Part 4 - Process the Text File)

Reading the entire file methods

Engaging Code Interface (Part 5 - Process the Text File)

File Open Modes in Python

Reading Records from Files

Engaging Code Interface (Part 2 - Process Records)

File Operations

Comma Separated Values (CSV files)

Engaging Code Interface (Part 4 - Process CSV FIles)

Steps to processing text files

Engaging Code Interface (Part 6 - Example - Calculating World Population Density)

Exception Handling

Handling Input Errors

Engaging Code Interface (Part 3 - Catching Exceptions)

The Finally Clause

Test Your Uderstanding

Unit5-N01-files.ipynb

Unit 6: Visualising Data Files

Introduction to numpy

Unit 7: Data visualisation

Unit 8: Data Manipulation