MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 10 Lessons (1h 43m) | Size: 1.12 GB

This foundational Python 3: Strings, Lists, and Dictionaries training prepares network administrators to create, access and navigate Python's three different ways of storing dаta: strings, lists, and dictionaries.

This Python 3: Strings, Lists, and Dictionaries training covers a portion of understanding the entire Python programming language. In it, you'll learn about the different ways Python stores variables.
At first, you might wonder why a programming language would store variables differently, but the answer lies in how you use the variables. Somes you need an array of data that doesn't change over , somes your list of data does change over , and other s you might need an index to sort through a large set of data. Take this training to make sense of strings, lists, dictionaries, and tuples.
For anyone who leads a technology team, this Python training can be used to onboard new network administrators, curated into individual or team training plans, or as a Python reference resource.

This Python 3: Strings, Lists, and Dictionaries training has videos that cover topics such as
Understanding the string data type in Python
Building, indexing, adding and removing dictionary keys
Storing data in strings, lists, and dictionaries

This Python 3: Strings, Lists, and Dictionaries training is considered associate-level Python training, which means it was designed for network administrators with 1 to 3 years of experience — or no experience at all. This Python 3: Strings, Lists, and Dictionaries course is valuable for new or aspiring IT professionals, experienced network administrators looking to validate foundational skills, and non-technical professionals.
Python programming user training. If you don't normally work in the world of programming languages, the idea of variables can feel intimidating. But don't worry —this training makes it easy. Some data is like the months of the year — not going to change. Some data is like a list of neighbors — might change over . And some data is like a phonebook — sorted a certain way with an index and a key. Learn to work with these sorts of data and put them to use in your everyday job with this Python 3: Strings, Lists, and Dictionaries training.







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