Andi has done a Data Visualization project using Bokeh. Well done, Andi! 😁📊

#m2mtechbytes #coding #design #design thinking #100DaysOfCode #GirlsWhoCode #tech #compsci #3DModelling #STEM #programming #python #javascript #datascience #AR #VR #Cloud #react #AWS #NumPy

6 Python Libraries you should know:

Pandas → Data Analysis
Numpy → Maths
Requests → Making HTTP requests (data from websites)
Selenium → Automation
Matplotlib → Visualisation
Seaborn → Advanced Visualisation

Iterated Function Systems with memory.
Made with #python , #numpy and #matplotlib .

𝐀 𝐟𝐥𝐞𝐞𝐭 𝐨𝐟 𝐒𝐢𝐞𝐫𝐩𝐢𝐧́𝐬𝐤𝐢 𝐬𝐭𝐚𝐫𝐬𝐡𝐢𝐩𝐬
In IFS with memory only some compositions of the IFS transformations are allowed.
They yield nice fractals even starting from simple affine transformations such as those below.
Made with #python , #numpy and #matplotlib .

technetium(てくねちうむ) 【お兄10】 numpyつかえ

Top percentile quant jobs start at $200K+.

Here's the upfront investment you need:

• SciPy: $0
• Zipline: $0
• Python: $0
• NumPy: $0
• PyFolio: $0
• Pandas : $0
• OpenBB: $0
• Empyrical: $0
• AlphaLens: $0
• Statsmodels: $0
• RiskFolio-Lib: $0

Someone asked me a great question:

'What are the first principles I should learn for quant finance?'

My answer:

1. Linear algebra and basic stats
2. Market microstructure and economics
3. pandas, Statsmodels, NumPy, and SQL

What's stopping you to give it a shot in 2024?

Fractals generated using the chaos game of the iterated function system defined by the Möbius transformations below.
Made with #python , #matplotlib and #numpy .

Almost there 🤞🏻 #python #numpy #pandas #letsconnect #webdev #coding

vlite 2 -- a simple fast vector db made in numpy released today(again) and is lighter and faster than ever with binary embeddings and:

- a new file format: CTX -- to make embeddings composable, portable
- langchain support
- 1.1s to search 500k documents, total package <25kb

numpy散策とIEEE散策は新たな趣味になりそう。
#pysap

🔥Kareem Carr | Statistician 🔥 NumPy is for people who wanted to use MATLAB

#Day29 of #100DaysOfALXSE

Mastered importing data in Python today! From .txt and .csv to .mat and .xlsx, I used Python libraries like Pandas and NumPy to handle various file formats. Also used SQLAlchemy for SQLite interactions. Up next? Importing data from the web!

書籍「数値シミュレーションで読み解く統計のしくみ～Rでためしてわかる心理統計」をpythonで実践中！
因果推論からの寄り道ｗ

添付は標本相関係数のFisherのZ変換が正規分布近似するシミュレーション🌹
numpy, scipy.stats, matplotlib.pyplotを使用

#のんびり統計 #数値シミュレーション #Python

Pythonのnumpy配列とリストの違いが分かりにくくないですか？😅

コードとか書いてても、形が似すぎて、分かんなくなります😱

実務でのプログラミングの進め方も、経験を積んで上手くなっていきたいなぁ

#25卒 #駆け出しエンジニア #就活 #Webライター #プログラミング #ブログ初心者 #26卒

numpyの正体はBLASってfortanライブラリ。
pythonでfor文使って行列計算定義したものよりもこのライブラリを介することで１万倍速くなる。
#pysap
ja.wikipedia.org/wiki/Basic_Lin…

𝐀 𝐟𝐫𝐚𝐜𝐭𝐚𝐥 𝐜𝐚𝐫𝐩𝐞𝐭
In IFS with memory only some compositions of the IFS transformations are allowed. They yield nice fractals even starting from simple affine transformations such as those below. Made with #python , #numpy and #matplotlib .

numpyで近似曲線みたいなの引いてみた（数学素人）
PERとSAIは大して差がなかったように見えるな

#f1jp #JapaneseGP

traffic-paradise.net/?year=2024&eve…

The book “ #AlgorithmicTrading With #Python ” discusses modern quant trading methods in Python with a heavy focus on Pandas, Numpy, and scikit-learn.

See the book: amzn.to/3uvYlKk by Chris Conlan

Get free code from the book here: github.com/chrisconlan/al…