Python Data Structures (training)

Dev colleagues, join over 1 million students who have enrolled in the popular “Python Data Structures” training program. Learn to explain the principles of data structures & how they are used, create programs that are able to read and write data from files, store data as key/value pairs using Python dictionaries and accomplish multi-step tasks like sorting or looping using tuples. Gain high-demand skills including Python Syntax And Semantics, Data Structures, Tuples and Python Programming. This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. Training modules address: 1) Python Strings - install Python if you want to actually run the applications on your desktop or laptop. If you choose not to install Python, you can just skip to the third week and get a head start, 2)  Installing and Using Python - write and test Python programs in the browser using the "Python Code Playground" in this lesson, 3) Files - write your first programs that read, scan, and process real data, 3) Lists - store many values in a single variable using an indexing scheme to store, organize, and retrieve different values from within a single variable. We call these multi-valued variables "collections" or "data structures", 4) Dictionaries - the Python dictionary is one of its most powerful data structures. Instead of representing values in a linear list, dictionaries store data as key / value pairs. Using key / value pairs gives us a simple in-memory "database" in a single Python variable, and 5) Tuples - simple version of lists. We often use tuples in conjunction with dictionaries to accomplish multi-step tasks like sorting or looping through all of the data in a dictionary.

Enroll today (teams & executives are welcome): https://imp.i384100.net/oq1ydm 

Download your free complimentary Python, R, TensorFlow and Pytorch - Career Transformation Guide. 

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Much career success, Lawrence E. Wilson - Online Learning Central (share with your team)