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Hands-On Financial Trading with Python

You're reading from  Hands-On Financial Trading with Python

Product type Book
Published in Apr 2021
Publisher Packt
ISBN-13 9781838982881
Pages 360 pages
Edition 1st Edition
Languages
Authors (2):
Jiri Pik Jiri Pik
Profile icon Jiri Pik
Sourav Ghosh Sourav Ghosh
Profile icon Sourav Ghosh
View More author details
Toc

Table of Contents (15) Chapters close

Preface 1. Section 1: Introduction to Algorithmic Trading
2. Chapter 1: Introduction to Algorithmic Trading 3. Section 2: In-Depth Look at Python Libraries for the Analysis of Financial Datasets
4. Chapter 2: Exploratory Data Analysis in Python 5. Chapter 3: High-Speed Scientific Computing Using NumPy 6. Chapter 4: Data Manipulation and Analysis with pandas 7. Chapter 5: Data Visualization Using Matplotlib 8. Chapter 6: Statistical Estimation, Inference, and Prediction 9. Section 3: Algorithmic Trading in Python
10. Chapter 7: Financial Market Data Access in Python 11. Chapter 8: Introduction to Zipline and PyFolio 12. Chapter 9: Fundamental Algorithmic Trading Strategies 13. Other Books You May Enjoy Appendix A: How to Setup a Python Environment

Learning essential pandas.DataFrame operations

This section describes the essential operations done on DataFrames. Knowing they exist and how to use them will save you an enormous amount of time.

Indexing, selection, and filtering of DataFrames

pandas data structures are indexed by special Index objects (while numpy.ndarrays and Python list objects are only indexable by integers). The steps for this lesson are as follows:

  1. Let's inspect the contents of the df2 DataFrame created earlier in the chapter:
    df2

    The output is as follows:

    uppercase A    B     C      D
    lowercase                
    a         1    10    100    1000
    b         2    20 &...
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