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Python for Finance: Investment Fundamentals and Data Analytics

This is the code repository for Python for Finance: Investment Fundamentals and Data Analytics, published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

About the Video Course

This course will take you on a journey where you'll learn how to code in Python. You will learn how to use Python in a real working environment and explore how Python can be applied in the world of Finance to solve portfolio optimization problems. The first part of the course is ideal for beginners and people who want to brush up on their Python skills. And then, once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks. The Finance block of this course will teach you in-demand, real-world skills employers are looking for. This explains topics such as how to work with Python's conditional statements, functions, sequences, and loops, build investment portfolios, and more.

What You Will Learn

  • Get started with Python from scratch by setting up a code editor, and executing code from the command line
  • Python variables and operators and how to use them well to simulate a simple app such as a calculator
  • Execute program control flows and loops in Python to create your own simple mini-games 
  • Implement the List and Dictionary data types to take text as input and produce a word count
  • Program efficiently in Python by organizing your code in functions to code a game such as rock, paper, and scissors 
  • Work with Python Modules to create your first web-scraping app in Python
  • Handle files using your Python code to build your own Python-based text editor

Instructions and Navigation

Assumed Knowledge

To fully benefit from the coverage included in this course, you will need:
This course is designed for data scientists, programming beginners, people interested in finance and investments, programmers who want to specialize in finance, finance graduates, and professionals who need to know more about how to apply their knowledge in Python

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