Python complete tutorial
  • Python Complete Tutorial
  • About this book
  • What you need to prepare
  • 1️⃣Try python for the first time
    • Install python
    • Hello world!
    • Hello world in a nutshell
    • The first simple python project
    • most useful libraries
    • Recommended websites
  • 2️⃣Data structure and basic operations
    • Python data structure
    • Data structure without hash table
    • Data structure with hash table
    • Variability and address
    • basic python programming
    • basic python programming 2
    • basic python programming 3
    • some additions
    • Fibonacci sequence
    • Judging prime numbers
    • txt/csv file operation
  • 🐍Practice program
    • 🚩fancy print
    • 🚩Remove duplicate elements
    • 🚩Palindrome detection
  • 😎leetcode
    • what is leetcode
  • 3️⃣Data mining and machine learning
    • What is data mining
    • iris data set
    • Mean median mode
    • Harmonic mean
    • Histogram
    • Correlation algorithm
    • Gaussian distribution data set
    • projection
    • PCA
    • MDS
    • Bayesian and Frequentist
    • Data normalization
    • binary SVM
    • One Hot Encoding
    • Multi-class SVM
    • Accuracy and error rate
    • Confusion matrix & Accuracy, Precision, Recall
    • F1 score
    • ROC and AUC
  • 4️⃣big data and data visualization
    • line chart
    • Parallel coordinates
    • Histogram chart
  • 5️⃣Mathematical algorithm and digital signal processing
    • Mathematical constants and basic operations
    • Normal distribution
    • Permutation and combination
    • Bernoulli distribution
    • Chaotic system
  • 6️⃣Classes and design patterns
    • Classes and design patterns
  • 7️⃣Operate the database with python
    • MySQL
      • Install MySQL
      • First try MySQL
      • MySQL Architecture
      • database operations
      • database
  • 8️⃣Cryptography
    • beginning of Cryptography
  • 9️⃣deep learning
    • What is Deep Learning
    • basic
  • 💔algorithm
    • Algorithms and Data Structures
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  1. Practice program

Remove duplicate elements

Use of sets

When we are programming, we often need to remove duplicate elements, so what should we do? Let's look at the following example:

>>> a = list(range(10))
>>> a
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

>>> a = a * 2
>>> a
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

>>> a = list(set(a))
>>> a
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> 

We first create a list, and then repeat the list, so that each element has a redundancy.

We take advantage of the fact that there are no repeating elements in the set, and convert the list into a set to remove the repeating elements.

Because our previous data structure was a list, for the unification, the final output still uses a list. So we need to transform the collection into a list again.

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Start time of this page: December 19, 2021

Completion time of this page: December 19, 2021

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