Hristo Gatsinski @gonrah - Twitter Profile

gonrah retweeted

16 days ago

Essential Python Libraries Every Developer Should Know 🐍 Python has a rich ecosystem of libraries that simplify everything from data analysis to AI. Choosing the right library depends on the problem you're solving. Here's a quick overview of the major categories shown in the infographic: 1. Data Manipulation: Libraries like Pandas, Polars, CuPy, and Modin help clean, transform, and process structured data efficiently. These are the foundation of most data projects. 2. Data Visualization: Matplotlib, Seaborn, Plotly, Bokeh, and Altair turn raw data into meaningful charts and interactive dashboards for analysis and reporting. 3. Statistical Analysis: SciPy, Statsmodels, PyMC, and related libraries provide statistical tests, probability models, optimization, and scientific computing. 4. Machine Learning: Scikit-learn is ideal for classical ML, while TensorFlow, Keras, JAX, and XGBoost are widely used for deep learning and high-performance AI applications. 5. Natural Language Processing (NLP): NLTK, spaCy, TextBlob, and BERT help build applications for sentiment analysis, text classification, translation, chatbots, and language understanding. 6. Big Data & Distributed Computing: PySpark, Ray, Dask, Kafka, and Hadoop process massive datasets across multiple machines, making them essential for large-scale analytics. 7. Time Series Analysis: Prophet, Darts, sktime, and tsfresh are designed for forecasting trends, anomaly detection, and feature extraction from time-based data. 8. Web Scraping: BeautifulSoup, Scrapy, Selenium, and Octoparse automate data collection from websites, making them useful for research, price monitoring, and data gathering.

PythonDvz's tweet photo. Essential Python Libraries Every Developer Should Know 🐍

Python has a rich ecosystem of libraries that simplify everything from data analysis to AI. Choosing the right library depends on the problem you're solving. Here's a quick overview of the major categories shown in the infographic:

1. Data Manipulation: Libraries like Pandas, Polars, CuPy, and Modin help clean, transform, and process structured data efficiently. These are the foundation of most data projects.

2. Data Visualization: Matplotlib, Seaborn, Plotly, Bokeh, and Altair turn raw data into meaningful charts and interactive dashboards for analysis and reporting.

3. Statistical Analysis: SciPy, Statsmodels, PyMC, and related libraries provide statistical tests, probability models, optimization, and scientific computing.

4. Machine Learning: Scikit-learn is ideal for classical ML, while TensorFlow, Keras, JAX, and XGBoost are widely used for deep learning and high-performance AI applications.

5. Natural Language Processing (NLP): NLTK, spaCy, TextBlob, and BERT help build applications for sentiment analysis, text classification, translation, chatbots, and language understanding.

6. Big Data & Distributed Computing: PySpark, Ray, Dask, Kafka, and Hadoop process massive datasets across multiple machines, making them essential for large-scale analytics.

7. Time Series Analysis: Prophet, Darts, sktime, and tsfresh are designed for forecasting trends, anomaly detection, and feature extraction from time-based data.

8. Web Scraping: BeautifulSoup, Scrapy, Selenium, and Octoparse automate data collection from websites, making them useful for research, price monitoring, and data gathering.

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gonrah retweeted

Brilliant Maps

@BrilliantMaps

16 days ago

US States With A Smaller Population Than Los Angeles County Although the county went 64.8% for Harris vs 32.2% for Trump; Trump still got more votes in the county than in Alaska, Wyoming, North Dakota and South Dakota combined. See the reason why: https://t.co/COpQ5ruzTX

BrilliantMaps's tweet photo. US States With A Smaller Population Than Los Angeles County

Although the county went 64.8% for Harris vs 32.2% for Trump; Trump still got more votes in the county than in Alaska, Wyoming, North Dakota and South Dakota combined.

See the reason why: https://t.co/COpQ5ruzTX https://t.co/I1H9pREgiE

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gonrah retweeted

Simon Kuestenmacher

@simongerman600

17 days ago

This map is a vivid reminder of the magnitude of WWII. Shipwrecks around the world during the Second World War. Many Europeans are unaware of the Pacific theatre. Source: https://t.co/L7N0eOyBN3

simongerman600's tweet photo. This map is a vivid reminder of the magnitude of WWII. Shipwrecks around the world during the Second World War. Many Europeans are unaware of the Pacific theatre. Source: https://t.co/L7N0eOyBN3 https://t.co/yOKqlrgLNo

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gonrah retweeted

PyCharm, a JetBrains IDE

@pycharm

20 days ago

Django turns 21 today. 🚀 Old enough to have onboarded a generation of developers, launched countless careers, and quietly run more of the internet than most people realize. Happy 21st birthday, @djangoproject! What was your first Django project? Tell us in the comments 👇

pycharm's tweet photo. Django turns 21 today. 🚀

Old enough to have onboarded a generation of developers, launched countless careers, and quietly run more of the internet than most people realize. Happy 21st birthday, @djangoproject!

What was your first Django project? Tell us in the comments 👇 https://t.co/bpJU0nAgxm

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Who to follow

SJ C

@sjcflawless

SJ | Instrumentals & Sounds | Sound Engineer

Professor Alan Jones 🇺🇦🇺🇦PPRIBA PPRSUA

@AlanJonesFRIBA

Charity Trustee & past chair of board | Professor | Architect | Organisational Leadership | Design development, review, expert witness.

Alana Whidden

@Alana_3_3_3

Sometimes, the greatest journey, is the distance between 2 people

gonrah retweeted

nixCraft 🐧 @nixcraft

over 3 years ago

The real message of Jurassic Park is that you get the Unix and IT support you pay for. Also, Jurassic Park is a cautionary tale about how you compensate your IT staff.