Useful Python Make your Life easier with practical Python techniques (2023) [Team-IRA]

Python How-To: 63 techniques to improve

📁 Python How-To: 63 techniques to improve your Python code [Team-IRA]

✍ Yong Cui 📂 Library 📅 2023 🏛 Manning 🌐 English

Have you ever asked yourself, “How do I do that in Python?” If so, you’ll love this practical collection of the most important Python techniques. Python How-To includes over 60 detailed answers to questions like: <ul><li><span

Data Wrangling Using Python: Tips and To

📁 Data Wrangling Using Python: Tips and Tools to Make Your Life Easier

✍ Jacqueline Kazil; Katharine Jarmul 📂 Library 📅 2015 🏛 O'Reilly Media 🌐 English

Digging into data does not have to be painful. With Data Wrangling Using Python, you'll learn how to clean and analyze data, create compelling stories, and scale that data as necessary. There are awesome discoveries to be made in unassuming datasets and stories to be told. You don’t have to be a pro

Data Wrangling with Python: Tips and Too

📁 Data Wrangling with Python: Tips and Tools to Make Your Life Easier

✍ Jacqueline Kazil, Katharine Jarmul 📂 Library 📅 2016 🏛 O’Reilly Media 🌐 English

Data Wrangling with Python: Tips and Too

📁 Data Wrangling with Python: Tips and Tools to Make Your Life Easier

✍ Jacqueline Kazil, Katharine Jarmul 📂 Library 📅 2016 🏛 O’Reilly Media 🌐 English

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You dont need to know a thing about the Python

Data wrangling with Python tips and tool

📁 Data wrangling with Python tips and tools to make your life easier

✍ Jarmul, Katharine;Kazil, Jacqueline 📂 Library 📅 2016;2015 🏛 O'Reilly Media 🌐 English

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that's initially too messy or difficult to access. You don't need to know a thing about the Pyt

Data Wrangling with Python: Tips and Too

📁 Data Wrangling with Python: Tips and Tools to Make Your Life Easier

✍ Jacqueline Kazil, Katharine Jarmul 📂 Library 📅 2016 🏛 O'Reilly Media 🌐 English

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You dont need to know a thing about the Python