70002 Python Advanced Programming

Course: 7002

Learn the advanced features of Python: functional programming, Object-Oriented Programming (OOP), data analysis, database programming. At completion you will be able to write professional Python scripts and applications that can manipulate file based (JSON, XML, and CSV) or database backed data and present the results in beautiful graphs using matplotlib.

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  • Duration: 2 days
  • Price: $1,490.00
Get This Course $1,490.00
August 8 - 9

9:00 AM – 4:00 PM CST

September 12 - 13

9:00 AM – 4:00 PM CST

October 10 - 11

9:00 AM – 4:00 PM CST

November 14 - 15

9:00 AM – 4:00 PM CST

December 12 - 13

9:00 AM – 4:00 PM CST

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  • Virtual instructor Led Training
  • Complete Hands-on Labs
  • Softcopy of Courseware
  • Learning Labs
  • Virtual instructor Led Training
  • Complete Hands-on Labs
  • Softcopy of Courseware
  • Learning Labs
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  • The GSA Contract Number: 47QTCA20D000D
  • Call 800-453-5961 for details
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Course Overview Python Advanced Programming

Learn the advanced features of Python: functional programming, Object-Oriented Programming (OOP), data analysis, database programming. At completion you will be able to write professional Python scripts and applications that can manipulate file based (JSON, XML, and CSV) or database backed data and present the results in beautiful graphs using matplotlib.

Prerequisite

  • You must be able to write a Python script that could open a text file, iterate through the lines, and output the ones containing, for example, email addresses.
  • You must have previously written a minimum of 1,000 lines of Python code

Agenda Topics

Unit 1- The Basics

In this section, we learn Python idioms and Python functional programming, Object-Oriented Programming (OOP), and unit testing.

  • Idiomatic Python
  • Functional Programming
  • Object-Oriented Programming (OOP)
  • Unit Testing

Unit 2 – Networking in Python

In this section, we learn network programming using Python.

  • Network Basics and Protocols
  • Sockets
  • Multi-threading
  • Client-Server Programming

Unit 3 – Data Analysis in Python

In this section, we study the key concepts of data analysis in Python using well known libraries.

  • Handling JSON, XML, and CSV data
  • Data Exploration and Wrangling with pandas
  • Data Visualization with matplotlib

Unit 4 – Database Programming in Python

In this section, we learn how to develop database applications using Python. We will use MySQL for SQL and MongoDB for NoSQL backend databases.

  • Working with Relational Databases
  • Working with noSQL Databases

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