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Beyond Basic Programming - Intermediate Python

So you have taken an initial programming course or have learned the basics on your own. However, when you look at other people's code, or listen to their discussions, you see many concepts that seem a...

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Course Description

So you have taken an initial programming course or have learned the basics on your own. However, when you look at other people's code, or listen to their discussions, you see many concepts that seem alien -- stuff that you don't understand. So, the question is: how do you go from a beginning level programmer to the expert level? How do you become a guru? This course answers this question. In it...

So you have taken an initial programming course or have learned the basics on your own. However, when you look at other people's code, or listen to their discussions, you see many concepts that seem alien -- stuff that you don't understand. So, the question is: how do you go from a beginning level programmer to the expert level? How do you become a guru? This course answers this question. In it, we will be building on top of your existing basic understandingof the Python language (and programming in general). We will cover concepts that will take you to the next level of programming expertise. These will include language constructs that are typically not covered in a beginner level course. Concepts like generators, decorators, callbacks, higher order functions, context managers and others.

What you’ll learn
  • Cross-cutting Tools (logging and testing)
  • Caveats in usage of lists
  • Intermediate Python concepts such as decorators, generators, context managers
  • Parallel programming, multithreading, synchronization, locks
  • Asynchronous programming (asyncio)
  • Plotting data

Covering Topics

1
Section 1 : Introduction
2
Section 2 : Cross-cutting Tools
3
Section 3 : Intermediate Programming Concepts
4
Section 4 : Time Saving Features
5
Section 5 : Parallel and Asynchronous Programming
6
Section 6 : Functional Programming
7
Section 7 : Applications

Curriculum

      Section 1 : Introduction
1
Environment Setup and Jupyter Notebook
      Section 2 : Cross-cutting Tools
2
Logging (and how to debug code in realtime) Preview
3
Testing and Test Driven Development (TDD)
4
Testing Examples
      Section 3 : Intermediate Programming Concepts
5
List Mutability and Deep Copying
6
Generators and Memory Efficiency
7
Generators Case Study Preview
8
Higher-Order Functions
9
Callbacks
      Section 4 : Time Saving Features
10
Decorators
11
Decorator Case Study - Memoize
12
Context Managers
13
More on Context Managers
      Section 5 : Parallel and Asynchronous Programming
14
Multithreading - Multiple Tasks Simultaneously
15
Synchronization Issues and Locks
16
Asynchronous Programming (Asyncio, Async/Await)
      Section 6 : Functional Programming
17
Basics of Functional Programming, Map
18
Filter and Reduce, Rationale for Functional Programming
      Section 7 : Applications
19
Plotting Intro
20
Plotting Case Study
21
Patern Matching with Regular Expressions
22
Modular RegExp (and How Not to Have Headaches with RegExp)
23
Extracting Matched Strings with RegExp

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