omnoid00/python_for_dh

INTRODUCTION TO PYTHON FOR BEGINNERS

This course is an introduction to Python. It presumes no knowledge on the part of the viewer. I presume that you do not have any prior knowledge about programming in general or knowledge of data. This repo goes along with my 3-hour video on Python. If you watch the video in its entirety and follow along with the lessons at Python-Textbook.PythonHumanities.com, then you will be in a good position to begin working with Python on your own projects.

While this course was originally designed for humanists, it is equally valuable to anyone who is interested in getting started with Python. Below, you will find an outline for the course. Within this repo are Jupyter Notebooks. Each notebook correspondsd to a specific lesson.

OUTLINE OF COURSE

PART ONE: KEY CONCEPTS AND TERMS

1. Introduction
2. Introduction to Me
3. Introduction to Course
4. Introduction to the PythonHumanities.com
5. Why Python?
6. Programming Languages
7. What is Python used for?
8. How to Install Python
9. Online Compilers

PART TWO: DATA and DATA STRUCTURES

1. What is Data?
2. Strings
3. Numbers
   1. Integers
   2. Floats
4. Booleans
5. String Methods
6. Mathematical Operations
7. Types of Division
8. What are Data Structures?
9. Lists
10. Tuples
11. Sets
12. Dictionaries

PART THREE: LOOPING AND CONDITIONALS

1. What are Loops?
2. Why are Loops Useful?
3. For Loops
4. While Loops
5. What are conditionals?
6. If-Then

PART FOUR: FUNCTIONS AND CLASSES

1. What are Functions?
2. When do we Use Functions?
3. How do we Create Functions?
4. How do we call Functions?
5. What are Classes?
6. When do we Use Classes?
7. How do we Create Classes?
8. How do we call Classes?

PART FIVE: LOADING AND SAVING DATA

1. Why Save Data?
2. The with opereator

PART SIX: LIBRARIES and TABULAR DATA (EXCEL, CSV, TSV)

1. What are Libraries

2. Why are Libraries Useful

3. What is Tabular Data?

4. Pandas and the DataFrame

5. What is JSON?

6. Why is JSON important?

7. The Basics of the JSON Library

PART SEVEN: WORKING WITH WEB DATA

1. What is Web Scrapping?
2. Requests
3. BeautifulSoup

PART NINE: FINAL PROJECT - EXTRACTING TABLE FROM WIKIPEDIA

1. How to Find Data
2. Extracting theh Data
3. Saving the Data
4. Loading Data in Excel

Lesson Number	Lesson Title
01.01	Introduction to Python for DH
01.02	How to Install Python
02.01	Introduction to Data
02.02	Strings
02.03	Numbers (Integers and Floats)
03.01	Introduction to Data Structures
03.02	Lists, Tuples, and Sets
03.03	Dictionaries
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