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Optimization Techniques in Python
course content

Course Content

Optimization Techniques in Python

Optimization Techniques in Python

1. Understanding and Measuring Performance
Introduction to Python PerformanceTiming and Benchmarking BasicsMeasuring Function PerformanceChallenge: Implementing Benchmarking
2. Efficient Use of Data Structures
Lists and NumPy ArraysSets and TuplesChallenge: Choosing Optimal Data StructuresUsing the collections Module
3. Optimizing with Python's Built-in Features
Leveraging map() and List ComprehensionsHandling Large FilesMaximizing Sorting Efficiency

bookChallenge: Choosing Optimal Data Structures

Task

Your task is to choose the most appropriate data structure (list, ndarray, set, or tuple) for each of the different scenarios below. Based on the nature of the data and the specific requirements for each collection, fill in the blanks (___) to create the correct data structures. Make sure to use the appropriate brackets for each structure, and if creating a NumPy array, initialize it based on a list.

Here are the requirements:

  1. For monthly_sales, the data is numerical, and you will need to perform frequent calculations on it.
  2. user_ids, each ID should be unique, and you will need to frequently check if a certain ID is present.
  3. product should be a fixed (unchangeable) record.
  4. tasks should be an ordered collection and allow for frequent additions and removals.

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Section 2. Chapter 3
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bookChallenge: Choosing Optimal Data Structures

Task

Your task is to choose the most appropriate data structure (list, ndarray, set, or tuple) for each of the different scenarios below. Based on the nature of the data and the specific requirements for each collection, fill in the blanks (___) to create the correct data structures. Make sure to use the appropriate brackets for each structure, and if creating a NumPy array, initialize it based on a list.

Here are the requirements:

  1. For monthly_sales, the data is numerical, and you will need to perform frequent calculations on it.
  2. user_ids, each ID should be unique, and you will need to frequently check if a certain ID is present.
  3. product should be a fixed (unchangeable) record.
  4. tasks should be an ordered collection and allow for frequent additions and removals.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 2. Chapter 3
toggle bottom row

bookChallenge: Choosing Optimal Data Structures

Task

Your task is to choose the most appropriate data structure (list, ndarray, set, or tuple) for each of the different scenarios below. Based on the nature of the data and the specific requirements for each collection, fill in the blanks (___) to create the correct data structures. Make sure to use the appropriate brackets for each structure, and if creating a NumPy array, initialize it based on a list.

Here are the requirements:

  1. For monthly_sales, the data is numerical, and you will need to perform frequent calculations on it.
  2. user_ids, each ID should be unique, and you will need to frequently check if a certain ID is present.
  3. product should be a fixed (unchangeable) record.
  4. tasks should be an ordered collection and allow for frequent additions and removals.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Task

Your task is to choose the most appropriate data structure (list, ndarray, set, or tuple) for each of the different scenarios below. Based on the nature of the data and the specific requirements for each collection, fill in the blanks (___) to create the correct data structures. Make sure to use the appropriate brackets for each structure, and if creating a NumPy array, initialize it based on a list.

Here are the requirements:

  1. For monthly_sales, the data is numerical, and you will need to perform frequent calculations on it.
  2. user_ids, each ID should be unique, and you will need to frequently check if a certain ID is present.
  3. product should be a fixed (unchangeable) record.
  4. tasks should be an ordered collection and allow for frequent additions and removals.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 3
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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