Opening book details…
Can I read Introduction to Python for Econometrics, Statistics and Data Analysis. on EtoBox?
Introduction to Python for Econometrics, Statistics and Data Analysis. by Kevin Sheppard. is a nonfiction available to read on EtoBox.
What is Introduction to Python for Econometrics, Statistics and Data Analysis. about?
These notes are designed for someone new to statistical computing wishing to develop a set of skills necessary to perform original research using Python. They should also be useful for students, researchers or practitioners who require a versatile platform for econometrics, statistics or general numerical analysis (e.g. numeric solutions to economic models or model simulation).Python is a popular general purpose programming language which is well suited to a wide range of problems.Recent developments have extended Python's range of applicability to econometrics, statistics and general numerical analysis. Python – with the right set of add-ons – is comparable to domain-specific languages such as R, MATLAB or Julia.
Who reads Introduction to Python for Econometrics, Statistics and Data Analysis.?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Kevin Sheppard.
- Publisher
- University of Oxford.
- Published
- 2021
- Language
- EN
- Category
- nonfiction
- Subjects
- Computer Science, Programming, Stem
More by Kevin Sheppard.
Browse all works by Kevin Sheppard.
Similar books
- Introduction to Statistics and Econometrics — Takeshi Amemiya (1994)
- An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing) — Thomas Haslwanter (auth.) (2016)
- Python for Econometrics: Bridging Data Science and Economic Analysis: A comprehensive guide to Python for Econometrics — Van Der Post, Hayden (2023)
- Statistics and Data Visualisation with Python — Jesús Rogel-Salazar (2023)
- A Python Data Analyst’s Toolkit : Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics — Gayathri Rajagopalan (2020)
- Statistics for Data Scientists and Analysts: Statistical Approach to Data-driven Decision Making Using Python — Suresh Kumar Mukhiya Dipendra Pant (2025)