https://github.com/axect/datacs
DataScience Coding Study
https://github.com/axect/datacs
cpp data-science julia python
Last synced: about 2 months ago
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DataScience Coding Study
- Host: GitHub
- URL: https://github.com/axect/datacs
- Owner: Axect
- Created: 2017-10-13T09:09:01.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-10-14T07:54:25.000Z (over 8 years ago)
- Last Synced: 2025-08-19T15:55:16.820Z (10 months ago)
- Topics: cpp, data-science, julia, python
- Language: Julia
- Size: 2.93 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# DataScience Coding & Math Study
**In 2017 Winter**
## 1. Programming
### - Language
1. Master Python & Julia
2. Master C++
3. Use another language - Go, Scalar, Rust and etc.
### - Process
1. Basic Types - int, float64, string and etc.
2. Basic I/O - scan, print any types
3. Make Function - make basic functions
4. If statement
5. For & While Loop
6. Switch Statement
7. Handle Sequences - Fibonacci, Eratostenes Prime
8. Use various data types - List, Tuple, Map or Dict
9. Use array well
10. Advanced I/O - CSV
11. Plotting
* Python: Matplotlib, Seaborn, Plotly
* Julia: Winston, Gadfly
12. External Packages & Statistics
* Python: Numpy, Scipy, Pandas
* Julia: DataFrames, Distributions, Dierckx
13. Object Oriented Programming
14. Parallel Programming
15. Memory & Pointer (C++, Go, Rust)
## 2. Mathematics
### - Subject
1. Statistics and Data Analysis
2. Linear Algebra
### - Process
* Study whole part of Statistics & Data Analysis
* Lecture for Linear Algebra
1. Vector
2. Introduce matrix with system eq
3. Basic operation
4. Determinant
5. Inverse
6. Transform with matrix
## 3. ETC
### - Subject
* Markdown
* Virtualenv
* Git
* IDE - VSCode