pybacktest - Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier. It allows users to specify trading strategies using full power of pandas, at the same time hiding all boring things like manually calculating trades, equity, performance statistics and creatin...
DABEST is a package forDataAnalysis usingBootstrap-CoupledESTimation. Estimation statisticsare asimple frameworkthat avoids thepitfallsof significance testing. It employs familiar statistical concepts such as means, mean differences, and error bars. More importantly, it focuses on the effect size of one...
Python’s versatility and user-friendly syntax make it a top choice in data science and many other areas. With agrowing demand for Python professionals, many consider certifications to validate their skills. But are Python certifications the key to success, or are there better alternatives? And i...
SL No. Sub-Package Function 1. Interpolation scipy.interpolate 2. Integration scipy.integrate 3. Optimization scipy.optimize 4. Signal processing scipy.signal 5. Statistics scipy.stats 6. Fast Fourier Transforms scipy.fftpack 7. Linear algebra scipy.linalg 8. sparse scipy.sparse 9. Input/output ...
httpstat (🥉21 · ⭐ 5.6K · 💤) - curl statistics made simple. MIT GitHub (👨💻 6 · 🔀 370 · 📥 250 · 📦 16 · 📋 29 - 24% open · ⏱️ 12.06.2023): git clone https://github.com/reorx/httpstat PyPi (📥 2.2K / month · ⏱️ 11.10.2022):...
Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. Developed in 2005 by a group of developers, Django was created to handle the intensive requirements of news-oriented websites. Since then, the framework has grown into one of the most pop...
Orange is a perfect software suite for machine learning & data mining. It best aids the data visualization and is a component based software. It has been written in Python computing language. As it is a component-based software, the components of orange are called ‘widgets’. These widgets ...
PolyAnalystfeatures a balanced combination of statistics, natural language processing, and machine learning technologies to provide the most accurate results. It can handle all conventional text analysis tasks, such as extracting key values from textual contents and performing classification, summarization, ...
• Multivariate statistics • Time series analysis Bottom Line Past is a free open source data analysis package that has an easy to use interface that is used for scientific and data analysis with functions of common statistical, modelling and plotting functions. 7.5 Editor Rating 7.3 Aggregated...
Skills Required:Programming knowledge is not mandatory, but applicants should have a basic understanding of mathematics and statistics. Course Duration:8 Weeks Course Fees:Free or $99 for Certificate 7. Machine Learning A-Z: Hands-On Python & R In Data Science (Udemy) ...