Description
Book SynopsisTable of ContentsBasic Python for Data Management, Finance, and Marketing1. Getting started with Python- Variables and numeric data types - Python containers to hold our data- Definite loops- Building a mortgage calculator
2. Writing your own Python scripts- Custom functions- Indefinite loops- Immutable containers - tuples- Pseudo code to problem solving
3. Extending Excel with Python- Dictionaries- Reading and writing csv files with Python- CSV and Urllib modules
4. Data Analysis with NumPy and Pandas- NumPy as an extension of Python - Series and DataFrame- Manipulate and plot data with Pandas
5. Solving common problems with Pandas - Concatinate and merge datasets
- Group by keys- How to use logic in Pandas
6. Gathering data with Python- Web Scraping with Python - Reading PDF files with Python- Cleaning data- Storing data
7. Building predictive models - User authentication- Linear reression- K-nearest- CART – decision tree- Matplotlib to plot data
8. Automating tasks with Python- Sending emails- Deploying your script to a server- Running tasks at specific time
