Top 150 Python Interview Questions
This PDF covers the most frequently asked Python questions with answers to help you prepare for upcoming interviews.
🔸Link to PDF
👉 @DataScience4
This PDF covers the most frequently asked Python questions with answers to help you prepare for upcoming interviews.
🔸Link to PDF
👉 @DataScience4
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python-docx: Create and Modify Word Documents #python
python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files.
Installation
Example
https://t.iss.one/DataScienceN 🚗
python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files.
Installation
pip install python-docx
Example
from docx import Document
document = Document()
document.add_paragraph("It was a dark and stormy night.")
<docx.text.paragraph.Paragraph object at 0x10f19e760>
document.save("dark-and-stormy.docx")
document = Document("dark-and-stormy.docx")
document.paragraphs[0].text
'It was a dark and stormy night.'
https://t.iss.one/DataScienceN 🚗
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Data scientists, this is for you — I dug up LeetCode for DS
DataLemur — a powerful platform that collects real interview problems from Tesla, Facebook, Twitter, Microsoft, and other top companies
Inside: practical tasks on SQL, statistics, Python, and ML. You can filter by difficulty level and company
Top-notch for those preparing for interviews for Data Scientist / Data Analyst roles. Get it here🍯
👉 https://t.iss.one/CodeProgrammer 👍
DataLemur — a powerful platform that collects real interview problems from Tesla, Facebook, Twitter, Microsoft, and other top companies
Inside: practical tasks on SQL, statistics, Python, and ML. You can filter by difficulty level and company
Top-notch for those preparing for interviews for Data Scientist / Data Analyst roles. Get it here
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Python library that adds Generative AI capabilities to Pandas!
PandasAI analyzes complex data frames and plot visualizations just by using natural language.
GitHub: https://github.com/sinaptik-ai/pandas-ai
https://t.iss.one/CodeProgrammer🖕
PandasAI analyzes complex data frames and plot visualizations just by using natural language.
GitHub: https://github.com/sinaptik-ai/pandas-ai
https://t.iss.one/CodeProgrammer
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🔥 Trending Repository: awesome-transformer-nlp
📝 Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
🔗 Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp
📖 Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme
📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 41
🍴 Forks: 131 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
🔗 Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp
📖 Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme
📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 41
🍴 Forks: 131 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#nlp #natural_language_processing #awesome #transformer #neural_networks #awesome_list #llama #transfer_learning #language_model #attention_mechanism #bert #gpt_2 #xlnet #pre_trained_language_models #gpt_3 #gpt_4 #chatgpt
==================================
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🔥 Trending Repository: awesome-deeplearning-resources
📝 Description: Deep Learning and deep reinforcement learning research papers and some codes
🔗 Repository URL: https://github.com/endymecy/awesome-deeplearning-resources
📖 Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme
📊 Statistics:
🌟 Stars: 2.9K stars
👀 Watchers: 221
🍴 Forks: 666 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceN
📝 Description: Deep Learning and deep reinforcement learning research papers and some codes
🔗 Repository URL: https://github.com/endymecy/awesome-deeplearning-resources
📖 Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme
📊 Statistics:
🌟 Stars: 2.9K stars
👀 Watchers: 221
🍴 Forks: 666 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#nlp #video #reinforcement_learning #deep_learning #neural_network #code #paper #corpus #modelzoo
==================================
🧠 By: https://t.iss.one/DataScienceN
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🔥 Trending Repository: awesome-deep-vision
📝 Description: A curated list of deep learning resources for computer vision
🔗 Repository URL: https://github.com/kjw0612/awesome-deep-vision
📖 Readme: https://github.com/kjw0612/awesome-deep-vision#readme
📊 Statistics:
🌟 Stars: 11K stars
👀 Watchers: 1.1k
🍴 Forks: 2.8K forks
💻 Programming Languages: Not available
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.iss.one/DataScienceN
📝 Description: A curated list of deep learning resources for computer vision
🔗 Repository URL: https://github.com/kjw0612/awesome-deep-vision
📖 Readme: https://github.com/kjw0612/awesome-deep-vision#readme
📊 Statistics:
🌟 Stars: 11K stars
👀 Watchers: 1.1k
🍴 Forks: 2.8K forks
💻 Programming Languages: Not available
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.iss.one/DataScienceN
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✨ Download a Free Python Cheat Sheet ✨
📖 Download a free Python 3 cheat sheet PDF put together by the Real Python team.
🏷️ #Python
📖 Download a free Python 3 cheat sheet PDF put together by the Real Python team.
🏷️ #Python
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Get top-tier market analysis: world events meet technical trading.
I'm Michael 👋. My team and I share our market insights daily on our Telegram channel. Over the past weekend, our strategies delivered up to +39% gains.
We will tell you everything on the channel, even for beginners.
Join the channel below! 👇
https://t.iss.one/+9mZure1faNRkOTE8
I'm Michael 👋. My team and I share our market insights daily on our Telegram channel. Over the past weekend, our strategies delivered up to +39% gains.
We will tell you everything on the channel, even for beginners.
Join the channel below! 👇
https://t.iss.one/+9mZure1faNRkOTE8
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Let's Learn MCP with Python - Tutorial Series
Here's your comprehensive guide to understanding and building Model Context Protocol (MCP) Servers for Python developers through interactive learning experiences.
Repo: https://github.com/microsoft/lets-learn-mcp-python?tab=readme-ov-file
https://t.iss.one/CodeProgrammer🧠
Here's your comprehensive guide to understanding and building Model Context Protocol (MCP) Servers for Python developers through interactive learning experiences.
Repo: https://github.com/microsoft/lets-learn-mcp-python?tab=readme-ov-file
https://t.iss.one/CodeProgrammer
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🔥 $10.000 WITH LISA!
Lisa earned $200,000 in a month, and now it’s YOUR TURN!
She’s made trading SO SIMPLE that anyone can do it.
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❗️Earn $1,000+ in your first week – GUARANTEED!
🚨 BONUS: Lisa is giving away $10,000 to her subscribers!
Don’t miss this once-in-a-lifetime opportunity. Free access for the first 500 people only!
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Lisa earned $200,000 in a month, and now it’s YOUR TURN!
She’s made trading SO SIMPLE that anyone can do it.
❗️Just copy her signals every day
❗️Follow her trades step by step
❗️Earn $1,000+ in your first week – GUARANTEED!
🚨 BONUS: Lisa is giving away $10,000 to her subscribers!
Don’t miss this once-in-a-lifetime opportunity. Free access for the first 500 people only!
👉 CLICK HERE TO JOIN NOW 👈
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230+ Power BI Interview Questions.pdf
4.3 MB
30+ Power BI Interview Questions to Land Your Job!
Power BI mastery is key to landing your dream job, and understanding the right interview questions can make all the difference!
https://t.iss.one/CodeProgrammer 🔴
Power BI mastery is key to landing your dream job, and understanding the right interview questions can make all the difference!
https://t.iss.one/CodeProgrammer 🔴
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One of the best free courses on LLMs is the Recent Advances on Foundation Models course from the University of Waterloo, and it has 21 lectures under these five sections:
1. Introduction to Foundation Models
2. Transformer Architecture
3. Large Language Models
4. (Large) Multimodal Models
5. Augmenting Foundation Models
➡️ Course link: https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/
https://t.iss.one/CodeProgrammer🔗
1. Introduction to Foundation Models
2. Transformer Architecture
3. Large Language Models
4. (Large) Multimodal Models
5. Augmenting Foundation Models
➡️ Course link: https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/
https://t.iss.one/CodeProgrammer
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📌 How to Create a Real-Time Gesture-to-Text Translator Using Python and Mediapipe
✍️ OMOTAYO OMOYEMI
🏷️ #Computer_Vision
✍️ OMOTAYO OMOYEMI
🏷️ #Computer_Vision
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This GitHub repo is a gold mine for EVERY data scientist!
DS Interactive Python repo has interactive dashboards to learn statistics, ML models, and other DS concepts.
Topics include PCA, bagging & boosting, clustering, neural networks, etc.
Fully open-source and free!
https://github.com/GeostatsGuy/DataScienceInteractivePython
https://t.iss.one/CodeProgrammer 🔗
DS Interactive Python repo has interactive dashboards to learn statistics, ML models, and other DS concepts.
Topics include PCA, bagging & boosting, clustering, neural networks, etc.
Fully open-source and free!
https://github.com/GeostatsGuy/DataScienceInteractivePython
https://t.iss.one/CodeProgrammer 🔗
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Eye control with Python
EyeGestures is an open-source Python library for gaze tracking. It uses regular cameras, webcams, or smartphone cameras to track eye movement, fixations, and blinks, and convert these into events such as cursor control by eye movement.
The JavaScript version allows running everything directly in the browser.
Installation:
or
Open source code, documentation, and usage examples - click
👉 https://t.iss.one/DataScienceN
EyeGestures is an open-source Python library for gaze tracking. It uses regular cameras, webcams, or smartphone cameras to track eye movement, fixations, and blinks, and convert these into events such as cursor control by eye movement.
The JavaScript version allows running everything directly in the browser.
Installation:
$ git clone https://github.com/NativeSensors/EyeGestures.git
$ cd EyeGestures
$ pip install -r requirements.txt
or
python3 -m pip install eyeGestures
Open source code, documentation, and usage examples - click
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