Updated 27 Aug
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Mastering the Art of Programming in Python 3
Learn advanced Python 3 techniques, explore built-in data structures, and delve into functional and object-oriented programming. Discover iterables, generators, and coroutines through projects.
4.4
63 lessons
4 projects
12h
Created by Educative
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What You'll Learn
- Apply list comprehensions to build and filter lists with clear Python 3 scoping
- Use tuples and namedtuples to store records and unpack values with parallel and star assignment
- Select and use stacks, queues, sets, Counter, and dict variants to solve data-structure challenges
- Implement functional patterns using first-class functions, *args/**kwargs, decorators, closures, and lambdas
- Process datasets using built-in data structures to clean, filter, group, and compute summary statistics
- Build custom iterators, generators, pipelines, and context managers to control flow and manage resources
- Create coroutines and coroutine pipelines with priming and exception handling for streaming computations
Learning Roadmap
2.
Built-in Data Structures
Built-in Data Structures
Unpack the core of Python's built-in data structures for clean, efficient code.
3.
Functional Programming
Functional Programming
9 Lessons
9 Lessons
Master the steps to leverage first-class functions, decorators, closures, and anonymous functions in Python.
4.
Project I: Data Science with Data Structures
Project I: Data Science with Data Structures
2 Lessons
2 Lessons
Apply your skills to process and analyze datasets using Python for real-world data science tasks.
5.
Project I Review
Project I Review
3 Lessons
3 Lessons
Solve problems in data analysis, task automation, and dataset refinement using Python programming.
6.
Object-Oriented Idioms
Object-Oriented Idioms
12 Lessons
12 Lessons
See how it works in object references, copying, methods, exceptions, and operator overloading in Python.
7.
Iterables and Generators
Iterables and Generators
11 Lessons
11 Lessons
Build on concepts of iterables, iterators, generators, and context managers to enhance Python fluency.
8.
Coroutines
Coroutines
5 Lessons
5 Lessons
Learn how to use Python coroutines for asynchronous programming and exception handling.
10.
Project II Review
Project II Review
2 Lessons
2 Lessons
Work your way through implementing matrix operations with Python, including addition, multiplication, and coroutines.
11.
Meta-Programming
Meta-Programming
5 Lessons
5 Lessons
Enhance your skills in metaprogramming with dynamic classes, custom metaclasses, and performance tracking.
Certificate of Completion
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