Python ΠΊΠ½ΠΈΠ³ΠΈ
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3 143
Python Clean Code: Best Practices and Techniques for Writing Clear, Concise, and Maintainable Code
ΠΠ²ΡΠΎΡ: Nash Maverick (2023)
3 143
The Pandas Workshop: A comprehensive guide to using Python for data analysis with real-world case studies
ΠΠ²ΡΠΎΡ: Blaine Bateman (2022)
3 143
The Pandas Workshop: A comprehensive guide to using Python for data analysis with real-world case studies
ΠΠ²ΡΠΎΡ: Blaine Bateman (2022)
3 143
Web Development with Django: A definitive guide to building modern Python web applications using Django 4
ΠΠ²ΡΠΎΡ: Ben Shaw (2023)
3 143
Full Stack Django and React: Get hands-on experience in full-stack web development with Python, React, and AWS
ΠΠ²ΡΠΎΡ: Kolawole Mangabo (2023)
3 143
Pandas for Everyone: Python Data Analysis, 2nd Edition
ΠΠ²ΡΠΎΡ: Daniel Chen (2023)
3 143
Beginning Programming with Python For Dummies, 3rd Edition
ΠΠ²ΡΠΎΡ: John Paul Mueller (2023)
3 143
The Python Workbook: A Brief Introduction with Exercises and Solutions
ΠΠ²ΡΠΎΡ: Ben Stephenson (2019)
3 143
Publishing Python Packages: Test, share, and automate your projects (2023)
ΠΠ²ΡΠΎΡ: Dane Hillard
3 143
Pass The Python Interview: 69 Python Coding Questions, Solutions and Explanations
ΠΠ²ΡΠΎΡ: Lionel Osamba (2023)
3 143
Python Data Science Handbook: Essential Tools for Working with Data, 2nd Edition
ΠΠ²ΡΠΎΡ: Jake VanderPlas (2023)
3 143
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
ΠΠ²ΡΠΎΡ: Robert Johansson (2019)
3 143
Machine Learning Pocket Reference
Working with Structured Data in Python
Matt Harrison (2019)
3 143
Python Continuous Integration and Delivery: A Concise Guide with Examples
Moritz Lenz (2018)
3 143
Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming
ΠΠ²ΡΠΎΡ: Eric Matthes (2019)
