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Python Programming – Intermediate
Course Description
Overview
Python has recently become the most popular language. It excels at data science, artificial intelligence, and other tasks but is also an outstanding language for web and service programming and general application development.This course will be helpful for those moving beyond Python language basics to doing analytics and application development in Python.
Objectives
- Intermediate Python Language
- Web Programming
- Database Programming
- Data Analysis
- Visualization
- Deployment
Audience
Prerequisites
- Some background with Unix or Linux including the command line
- Python Intro Class
Topics
- Installing Python
- Python Versions
- IDEs
- Jupyter Notebook
- Introducing NumPy
- Numpy Arrays and Matrices
- Introducing SciPy
- Using SciPy
- Statsmodels
- Doing Stats in Python
- Matplotlib
- Seaborn
- DataFrames
- Schema inferences
- Data exploration
- Database Connectivity
- Pandas and DB
- ORM
- Python Web Frameworks
- Flask
- Restful API with Flask
- Making Your Own Packages
- Deployment
- Environments
- How to use Containers with Python
- Dockerizing Python
- Writing C Modules
- Using Python with Other Languages
- TDD and Python
- Unit test Frameworks
- Best practices-Future
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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