About this Track
Stretch your Python skills to new heights with this intermediate track. It focusses on local development and best practices.
An entry-level salary for the technologies covered in this track is about $70,000 / yr on average. Some companies that use these technologies regularly include: Google, NASA, Nokia, IBM, Digg, Dropbox, Pinterest, Reddit, Yelp, Apple, and Amazon
| From | Treehouse |
|---|---|
| Hours | 10 |
| Instructor | Kenneth Love |
| Language | English |
| Subjects | Programming |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Local Substitute Teacher $20k
Local Agent $38k
Local Artist $56k
Local Marketing $60k
Local Organizer $62k
Assistant Local Marketing & Development, Fundraising Projects Coordinator $63k
Local IT $83k
Local Utility $91k
Market Development Manager, Solution Provider Program, Local Success $102k
Local IT Technician $108k
Senior Business Development Executive, State and Local Government $147k
Local Counsel $171k
Courses in this Track
Listed in the order in which they should be taken
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Regular expressions are one of the tools that every programmer needs, but is often scared of. In this course, we'll explore the module that Python provides and learn to write... Treehouse |
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On Demand |
You're likely to find that, sooner or later, you're going to need to read and write data to and from files. Python makes that easy so let me show you how. Segments in this... Treehouse |
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On Demand |
CSV and JSON files are two very common formats for storing and retrieving data. Both have great support in the Python language. Let's see how to take advantage of each of these... Treehouse |
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When you want to store data from a program, you have two general choices: files or databases. In this course, we're going to explore using a database from within Python by using... Treehouse |
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On Demand |
Every project can benefit from testing and Python's testing library is solid, strong, and easy to learn and use. In this course, we'll learn about doctests, Python's library,... Treehouse |
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On Demand |
Comprehensions are a convenient way to work with iterables in Python. Comprehensions let you skip the for loop and start creating lists, dicts, and sets straight from your... Treehouse |
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On Demand |
Decorators in Python are a common way of wrapping repeated functionality around your functions, methods, and classes. They're also one of the trickier things to learn how to build... Treehouse |
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On Demand |
Pythonistas have always relied on duck typing to handle different values in variables. Starting with Python 3.0, continuing in 3.5, and wrapping up in 3.6, type hints have been... Treehouse |
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On Demand |
Functional Python (You were viewing this course) Functional programming is a great addition to any programmer's toolset. FP allows you to quickly filter lists, modify values, find answers, and other repetitious tasks with less... Treehouse |
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| From | Treehouse |
|---|---|
| Hours | 10 |
| Instructor | Kenneth Love |
| Language | English |
| Subjects | Programming |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Local Substitute Teacher $20k
Local Agent $38k
Local Artist $56k
Local Marketing $60k
Local Organizer $62k
Assistant Local Marketing & Development, Fundraising Projects Coordinator $63k
Local IT $83k
Local Utility $91k
Market Development Manager, Solution Provider Program, Local Success $102k
Local IT Technician $108k
Senior Business Development Executive, State and Local Government $147k
Local Counsel $171k
Similar Courses
Sorted by relevance
