Python Resources TP
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20 python libraries you arent using but should.pdf
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20 Python Libraries You Aren't Using (But Should)

O`Reilly
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80 Python Interview Questions.pdf
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80 Python Interview Questions
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Python Clean Code.pdf
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Python Clean Code
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Master Python programming in 15 days with Free Resources ๐Ÿ˜„๐Ÿ‘‡

Days 1-3: Introduction to Python
- Day 1: Start by installing Python on your computer.
- Day 2: Learn the basic syntax and data types in Python (variables, numbers, strings).
- Day 3: Explore Python's built-in functions and operators.

Days 4-6: Control Structures
- Day 4: Understand conditional statements (if, elif, else).
- Day 5: Learn about loops (for and while) and iterators.
- Day 6: Work on small projects to practice using conditionals and loops.

Days 7-9: Data Structures
- Day 7: Learn about lists and how to manipulate them.
- Day 8: Explore dictionaries and sets.
- Day 9: Understand tuples and lists comprehensions.

Days 10-12: Functions and Modules
- Day 10: Learn how to define functions in Python.
- Day 11: Understand scope and global vs. local variables.
- Day 12: Explore Python's module system and create your own modules.

Days 13-15: Intermediate Concepts
- Day 13: Work with file handling and I/O operations.
- Day 14: Learn about exceptions and error handling.
- Day 15: Explore more advanced topics like object-oriented programming and libraries such as NumPy, pandas, and Matplotlib.

FREE RESOURCES TO LEARN PYTHON ๐Ÿ‘‡

AI,Data Science & ML Resources: https://topmate.io/learning_resources/1406977

Python Interview Questions & Answers: https://t.me/PythonResourcesTP/23

Harvard course for Python: http://cs50.harvard.edu/python/2022/

Freecodecamp Python course with certificate: https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course

Join for more free courses

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Python Interview questions and answers with code # Python.pdf
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Python Interview questions and answers with code # Python
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20th ๐Ÿ–ฅ Feb 2025 Free Udemy Coupons New Coupons Added
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#10 Python Development and Python Programming Fundamentals
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25th ๐Ÿ–ฅ Feb 2025 Free Udemy Coupons New Coupons Added
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#01 Python For Data Science In 2025 A-Z: EDA With Real Exercises
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#02 Data Analytics for Project Management
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#03 Numpy For Data Science - Real Time Experience
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#04 Big Data Hadoop Course
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#05 Data Lake: Design, Architecture, and Implementation
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#06 Master Python With NumPy For Data Science & Machine Learning
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#07 Hands On Python Data Science - Data Science Bootcamp
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#08 Data Science Career Path
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#09 Unlocking the Power of ChatGPT in Data Science : A-Z Guide
https://techurl.in/lXziA

#10 Dive Into Learning From Data: MNIST with Logistic Regression
https://techurl.in/lAKPk

#11 HR Metrics & Analytics: Data-Driven HR Decision Making
https://techurl.in/YxuWg

#12 Microsoft Fabric Masterclass: A Unified Data &Analytics Tool
https://techurl.in/FPTEf

#13 Clinical Data Management Course
https://techurl.in/mWSAa

#14 Mastering Data Cleansing: Techniques and Best Practices
https://techurl.in/laJpc

#15 Data Mesh - A Modern Decentralized Data Management Concept
https://techurl.in/sNmGl

#16 Looker Studio /Google Data Studio Complete Advanced Tutorial
https://techurl.in/KDTRu
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So Please Join Our Telegram Or Whatsapp Channel To Get An Instant Alert For Coupons.
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Python AI Roadmap

Stage 1 โ€“ Learn Python Basics (Syntax, Data Types)
Stage 2 โ€“ Data Handling (Pandas, NumPy)
Stage 3 โ€“ Machine Learning (Scikit-Learn, Basic Models)
Stage 4 โ€“ Deep Learning (TensorFlow/PyTorch, Neural Networks)
Stage 5 โ€“ Build & Train ML Models
Stage 6 โ€“ Natural Language Processing (NLTK, spaCy)
Stage 7 โ€“ Model Deployment (Flask/FastAPI)
Stage 8 โ€“ AI Testing & Optimization

80 Python Interview Questions: https://t.me/pythonresourcestp/19

Learn Generative AI: https://t.me/AIResourcesTP/27
Python from scratch by University of Waterloo

0. Introduction
1. First steps
2. Built-in functions
3. Storing and using information
4. Creating functions
5. Booleans
6. Branching
7. Building better programs
8. Iteration using while
9. Storing elements in a sequence
10. Iteration using for
11. Bundling information into objects
12. Structuring data
13. Recursion

Link: https://open.cs.uwaterloo.ca/python-from-scratch/

Python Resources: https://t.me/pythonresourcestp
If I were to start Data Analytics in 2025 ๐Ÿ’ซ๐Ÿš€

โฏ Python
http://cs50.harvard.edu/python/2022/

https://www.freecodecamp.org/learn/data-analysis-with-python/

https://t.me/pythonresourcestp

โฏ SQL
http://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql

https://www.freecodecamp.org/learn/relational-database/

https://topmate.io/learning_resources/1456762

https://tinyurl.com/4rwc9v5a

โฏ Excel
https://excel-practice-online.com/

https://t.me/dataanalysisresourcestp/35

โฏ Power BI
https://www.freecodecamp.org/learn/data-visualization/

https://t.me/dataanalysisresourcestp/7

https://www.workout-wednesday.com/power-bi-challenges/

โฏ Tableau
https://t.me/dataanalysisresourcestp/30

https://www.tableau.com/learn/training

โฏ Mathematics (incl. Statistics)
ocw.mit.edu/search/?d=Mathematics&s=department_course_numbers.sort_coursenum

http://www.sherrytowers.com/cowan_statistical_data_analysis.pdf

โฏ Data Science
https://t.me/datascienceresourcestp/25

cognitiveclass.ai/courses/data-science-101

http://kaggle.com/learn

https://t.me/datascienceresourcestp/25

โฏ Machine Learning
http://developers.google.com/machine-learning/crash-course

https://www.freecodecamp.org/learn/machine-learning-with-python/

โฏ Artificial Intelligence
https://t.me/airesourcestp

https://udacity.com/course/intro-to-artificial-intelligence--cs271

introtodeeplearning.com

https://t.me/mlresourcestp

โฏ Data Engineering
https://tinyurl.com/fadtk827

https://t.me/datascienceresourcestp/23

Join for more free resources

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Python Roadmap
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12 Essential Skills For 2025
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