In this thread, I will tell you how to learn python for data science in 1 hour 👇 1/N
More from Machine learning
Happy 2⃣0⃣2⃣1⃣ to all.🎇
For any Learning machines out there, here are a list of my fav online investing resources. Feel free to add yours.
Let's dive in.
⬇️⬇️⬇️
Investing Services
✔️ @themotleyfool - @TMFStockAdvisor & @TMFRuleBreakers services
✔️ @7investing
✔️ @investing_city
https://t.co/9aUK1Tclw4
✔️ @MorningstarInc Premium
✔️ @SeekingAlpha Marketplaces (Check your area of interest, Free trials, Quality, track record...)
General Finance/Investing
✔️ @morganhousel
https://t.co/f1joTRaG55
✔️ @dollarsanddata
https://t.co/Mj1owkzRc8
✔️ @awealthofcs
https://t.co/y81KHfh8cn
✔️ @iancassel
https://t.co/KEMTBHa8Qk
✔️ @InvestorAmnesia
https://t.co/zFL3H2dk6s
✔️
Tech focused
✔️ @stratechery
https://t.co/VsNwRStY9C
✔️ @bgurley
https://t.co/NKXGtaB6HQ
✔️ @CBinsights
https://t.co/H77hNp2X5R
✔️ @benedictevans
https://t.co/nyOlasCY1o
✔️
Tech Deep dives
✔️ @StackInvesting
https://t.co/WQ1yBYzT2m
✔️ @hhhypergrowth
https://t.co/kcLKITRLz1
✔️ @Beth_Kindig
https://t.co/CjhLRdP7Rh
✔️ @SeifelCapital
https://t.co/CXXG5PY0xX
✔️ @borrowed_ideas
For any Learning machines out there, here are a list of my fav online investing resources. Feel free to add yours.
Let's dive in.
⬇️⬇️⬇️
Investing Services
✔️ @themotleyfool - @TMFStockAdvisor & @TMFRuleBreakers services
✔️ @7investing
✔️ @investing_city
https://t.co/9aUK1Tclw4
✔️ @MorningstarInc Premium
✔️ @SeekingAlpha Marketplaces (Check your area of interest, Free trials, Quality, track record...)
General Finance/Investing
✔️ @morganhousel
https://t.co/f1joTRaG55
✔️ @dollarsanddata
https://t.co/Mj1owkzRc8
✔️ @awealthofcs
https://t.co/y81KHfh8cn
✔️ @iancassel
https://t.co/KEMTBHa8Qk
✔️ @InvestorAmnesia
https://t.co/zFL3H2dk6s
✔️
Tech focused
✔️ @stratechery
https://t.co/VsNwRStY9C
✔️ @bgurley
https://t.co/NKXGtaB6HQ
✔️ @CBinsights
https://t.co/H77hNp2X5R
✔️ @benedictevans
https://t.co/nyOlasCY1o
✔️
Tech Deep dives
✔️ @StackInvesting
https://t.co/WQ1yBYzT2m
✔️ @hhhypergrowth
https://t.co/kcLKITRLz1
✔️ @Beth_Kindig
https://t.co/CjhLRdP7Rh
✔️ @SeifelCapital
https://t.co/CXXG5PY0xX
✔️ @borrowed_ideas
10 PYTHON 🐍 libraries for machine learning.
Retweets are appreciated.
[ Thread ]
1. NumPy (Numerical Python)
- The most powerful feature of NumPy is the n-dimensional array.
- It contains basic linear algebra functions, Fourier transforms, and tools for integration with other low-level languages.
Ref: https://t.co/XY13ILXwSN
2. SciPy (Scientific Python)
- SciPy is built on NumPy.
- It is one of the most useful libraries for a variety of high-level science and engineering modules like discrete Fourier transform, Linear Algebra, Optimization, and Sparse matrices.
Ref: https://t.co/ALTFqM2VUo
3. Matplotlib
- Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
- You can also use Latex commands to add math to your plot.
- Matplotlib makes hard things possible.
Ref: https://t.co/zodOo2WzGx
4. Pandas
- Pandas is for structured data operations and manipulations.
- It is extensively used for data munging and preparation.
- Pandas were added relatively recently to Python and have been instrumental in boosting Python’s usage.
Ref: https://t.co/IFzikVHht4
Retweets are appreciated.
[ Thread ]
1. NumPy (Numerical Python)
- The most powerful feature of NumPy is the n-dimensional array.
- It contains basic linear algebra functions, Fourier transforms, and tools for integration with other low-level languages.
Ref: https://t.co/XY13ILXwSN
2. SciPy (Scientific Python)
- SciPy is built on NumPy.
- It is one of the most useful libraries for a variety of high-level science and engineering modules like discrete Fourier transform, Linear Algebra, Optimization, and Sparse matrices.
Ref: https://t.co/ALTFqM2VUo
3. Matplotlib
- Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
- You can also use Latex commands to add math to your plot.
- Matplotlib makes hard things possible.
Ref: https://t.co/zodOo2WzGx
4. Pandas
- Pandas is for structured data operations and manipulations.
- It is extensively used for data munging and preparation.
- Pandas were added relatively recently to Python and have been instrumental in boosting Python’s usage.
Ref: https://t.co/IFzikVHht4