Python list

Python TensorFlow Roadmap

Stage 1 - Learn Python basics
Stage 2 - Understand ML concepts
Stage 3 - Install TensorFlow, explore Keras & TensorBoard
Stage 4 - Build simple models (regression/classification)
Stage 5 - Learn tensors & computational graphs
Stage 6 - Train deep models (CNNs/RNNs)
Stage 7 - Optimize with GPU/TPU
Stage 8 - Deploy with TensorFlow Lite/Serving

🏆 – Python TensorFlow Expert

Pandas Functions

Matplotlib Functions

Python Code to remove Image Background
—————————————————————-
from rembg import remove
from PIL import Image

image_path = 'Image Name' ## ---> Change to Image name

output_image = 'ImageNew' ## ---> Change to new name your image

input = Image.open(image_path)

output = remove(input)

output.save(output_image)

Please go through this top 10 SQL projects with Datasets that you can practice and can add in your resume

📌1. Social Media Analytics:
(https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset)

🚀2. Web Analytics:
(https://www.kaggle.com/zynicide/wine-reviews)

📌3. HR Analytics:
(https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-
attrition-dataset)

🚀4. Healthcare Data Analysis:
(https://www.kaggle.com/cdc/mortality)

📌5. E-commerce Analysis:
(https://www.kaggle.com/olistbr/brazilian-ecommerce)

🚀6. Inventory Management:
(https://www.kaggle.com/datasets?
search=inventory+management)

📌 7.Customer Relationship Management:
(https://www.kaggle.com/pankajjsh06/ibm-watson-
marketing-customer-value-data)

🚀8. Financial Data Analysis:
(https://www.kaggle.com/awaiskalia/banking-database)

📌9. Supply Chain Management:
(https://www.kaggle.com/shashwatwork/procurement-analytics)

🚀10. Analysis of Sales Data:
(https://www.kaggle.com/kyanyoga/sample-sales-data)

Small suggestion from my side for non tech students: kindly pick those datasets which you like the subject in general, that way you will be more excited to practice it, instead of just doing it for the sake of resume, you will learn SQL more passionately, since it’s a programming language try to make it more exciting for yourself.

Join for more: https://news.1rj.ru/str/DataPortfolio

Hope this piece of information helps you

Python Cryptography Roadmap

Stage 1 – Learn Python (Basics, File Handling)
Stage 2 – Understand Encryption/Decryption Basics (Symmetric, Asymmetric)
Stage 3 – Explore Python Libraries (cryptography, PyCrypto, hashlib)
Stage 4 – Implement Symmetric Ciphers (AES, DES)
Stage 5 – Use Asymmetric Ciphers (RSA, ECC)
Stage 6 – Learn Digital Signatures & Certificates
Stage 7 – Secure Data Transmission (SSL/TLS)
Stage 8 – Explore Hashing Algorithms (SHA, MD5)

🏆 – Python Cryptography Developer

Python Patterns

Python Data Science Roadmap

Stage 1 - Master Python basics (syntax, OOP).
Stage 2 - Learn data manipulation with Pandas and NumPy.
Stage 3 - Understand data visualization using Matplotlib & Seaborn.
Stage 4 - Study probability, statistics, and data distributions.
Stage 5 - Explore machine learning with Scikit-learn.
Stage 6 - Work with SQL databases and data querying.
Stage 7 - Implement big data tools like PySpark.
Stage 8 - Develop predictive models and deploy them.

🏆 – Python Data Scientist

Top 8 Github Repos to Learn Data Science and Python 👇👇
https://news.1rj.ru/str/github_coding/7

Best way to prepare for Python interviews 👇👇

1. Fundamentals: Strengthen your understanding of Python basics, including data types, control structures, functions, and object-oriented programming concepts.

2. Data Structures and Algorithms: Familiarize yourself with common data structures (lists, dictionaries, sets, etc.) and algorithms. Practice solving coding problems on platforms like LeetCode or HackerRank.

3. Problem Solving: Develop problem-solving skills by working on real-world scenarios. Understand how to approach and solve problems efficiently using Python.

4. Libraries and Frameworks: Be well-versed in popular Python libraries and frameworks relevant to the job, such as NumPy, Pandas, Flask, or Django. Demonstrate your ability to apply these tools in practical situations.

5. Web Development (if applicable): If the position involves web development, understand web frameworks like Flask or Django. Be ready to discuss your experience in building web applications using Python.

6. Database Knowledge: Have a solid understanding of working with databases in Python. Know how to interact with databases using SQLAlchemy or Django ORM.

7. Testing and Debugging: Showcase your proficiency in writing unit tests and debugging code. Understand testing frameworks like pytest and debugging tools available in Python.

8. Version Control: Familiarize yourself with version control systems, particularly Git, and demonstrate your ability to collaborate on projects using Git.

9. Projects: Showcase relevant projects in your portfolio. Discuss the challenges you faced, solutions you implemented, and the impact of your work.

10. Soft Skills: Highlight your communication and collaboration skills. Be ready to explain your thought process and decision-making during technical discussions.

Best Resource to learn Python

Python Interview Questions with Answers

Freecodecamp Python Course with FREE Certificate

Python for Data Analysis and Visualization

Python course for beginners by Microsoft

Python course by Google

Please give us credits while sharing: -> https://news.1rj.ru/str/free4unow_backup

ENJOY LEARNING 👍👍