Python x Julia 完美整合
Python x Julia 完美整合，工程師必學！改善效能的超強神器，從程式碼評測開始，一步一步改善程式效能，手把手實作教學，寫出兼具美觀與效率的程式碼
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集數
30集
第一章 - Julia 預習課程
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1. 開頭介紹 Introduction
1. 開頭介紹 Introduction
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2. Machine learning system 效能
2. Machine learning system 效能
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3. Python projects for performance
3. Python projects for performance
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4. Essential elements for performance in machine learning system
4. Essential elements for performance in machine learning system
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5. Small benchmarks 介紹
5. Small benchmarks 介紹
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6. Matrix multiplication
6. Matrix multiplication
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7. Correlation
7. Correlation
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8. Training linear regression model
8. Training linear regression model
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9. Inferring linear regression model
9. Inferring linear regression model
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10. Improving Julia code performance
10. Improving Julia code performance
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11. Performance summary
11. Performance summary
第二章 - Array
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1. Storage and Speed
1. Storage and Speed
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2. Enhancing Performance of Numerical Computing
2. Enhancing Performance of Numerical Computing
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3. Optimization Strategy
3. Optimization Strategy
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4. Formulating into array operations
4. Formulating into array operations
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5. Formulating into series operations
5. Formulating into series operations
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6. Dot Operations and StaticArray
6. Dot Operations and StaticArray
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7. Multidimensional Array and Memory Allocation
7. Multidimensional Array and Memory Allocation
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8. Pre-allocation and FillArrays
8. Pre-allocation and FillArrays
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9. Boundary Checking and Write Kernel Function
9. Boundary Checking and Write Kernel Function
第三章 - Julia Compilation
第四章 - Type Stability