Course Outline

Introduction

Setting up the Development Environment

  • Programming locally vs online: Anaconda and Jupyter for government use

Python Programming Fundamentals

  • Control structures, data types, functions, data structures, and operators for government applications

Extending Python's Capabilities

  • Modules and Packages for enhanced functionality in government projects

Your First Python Application

  • Estimating beginning and ending dates and times for government reports and data sets

Accessing External Data with Python

  • Importing and exporting, reading and writing CSV data for government datasets
  • Accessing data in an SQL database for government systems

Organizing Data Using Arrays and Vectors in Python

  • NumPy and vectorized functions for efficient data manipulation in government projects

Visualizing Data with Python

  • Matplotlib for 2D and 3D plotting, pyplot, and SciPy for government data visualization

Analyzing Data with Python

  • Data analysis with scipy.stats and pandas for government datasets
  • Importing and exporting financial data (Excel, website data, etc.) for government financial reporting

Simulating Asset Price Trajectories

  • Monte Carlo simulation for government financial modeling

Asset Allocation and Portfolio Optimization

  • Performing capital allocation, asset allocation, and risk assessment for government investment portfolios

Risk Analysis and Investment Performance

  • Defining and solving portfolio optimization problems for government financial planning

Fixed-Income Analysis and Option Pricing

  • Performing fixed-income analysis and option pricing for government financial instruments

Financial Time Series Analysis

  • Analyzing time series data in financial markets for government economic forecasting

Taking Your Python Application into Production

  • Integrating your application with Excel and other web applications for government use

Application Performance

  • Optimizing your application for government efficiency
  • Parallel Computing and Multiprocessing for enhanced performance in government systems

Troubleshooting

Closing Remarks

Requirements

  • An understanding of financial concepts, including securities and derivatives, for government applications.
  • A foundational knowledge of probability and statistics.
  • Basic skills in differential and integral calculus.
 35 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Testimonials (5)

Experience of the trainer and his way of conveying the content

Roggli Marc - Bechtle Schweiz AG
Course - FinOps

The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)

Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask

Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)

Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI

i like that it was easy to understand - not too technical

Kirthanya Pillay - Woolworths Financial Services
Course - FinOps Certified Practitioner (FOCP) Preparation

he was informative, shared a lot of material to reference

Siphokazi Mnyebeleza
Course - FinOps For Engineers

Upcoming Courses

Python Programming for Finance

2026-02-19 09:30
35 hours
Salt Lake City, UT – Regus at Main Street
$ 5550 (Online)
$ 8550 (Classroom)

Python Programming for Finance

2026-03-05 09:30
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Python Programming for Finance

2026-03-19 09:30
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$ 5550 (Online)
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Python Programming for Finance

2026-04-02 09:30
35 hours
Sioux Falls, SD - Regus - CNA Building
$ 5550 (Online)
$ 8550 (Classroom)

Python Programming for Finance

2026-04-16 09:30
35 hours
Sioux Falls, SD
$ 5550 (Online)
$ 8550 (Classroom)

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