Python for Beginners. Python for Everybody. Data Science Python. Data Analytics Python. Web Python. AI Python. ML Python
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A hands-on course to expose you to Python fundamentals and build your confidence with Python
Welcome to the Python Mastery learning path. This is the first of many courses that are practical and hands-on and will help you to learn python efficiently.
The course contains multiple exercises in the form of hands-on practice and is perfectly suitable if you're learning Python for the first time.
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Learn Python 3 From Scratch - Basics And Fundamentals.zip
555.3 MB
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🔅 Python in Excel
🌐 Author: Scott Simpson
🔰 Level: Beginner
⏰ Duration: 30m
📗 Topics: Microsoft Excel, Python
📤 Join @LearnPython3 for more courses
🌐 Author: Scott Simpson
🔰 Level: Beginner
⏰ Duration: 30m
🌀 Get a high-level overview of the Python in Excel features launched in the public beta preview.
📗 Topics: Microsoft Excel, Python
📤 Join @LearnPython3 for more courses
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🔸 Full description 🔸
If you work with data, you know that Excel is one of the most popular and powerful tools at your disposal. Depending on your industry or field, you may also use Python for data analysis, forecasting, running machine learning models, and more. For many people who deal with data, its common to use both tools in the same workflow, and moving your data between the two can be a hassle. Good news! In the new public preview of Excel, you can now use Python directly in Excel, eliminating the need to move your data between the tools. In this course, Scott Simpson explores the Python features launched in the public preview, showing you how to manage your entire data workflow directly inside an Excel worksheet. Join Scott to learn about exciting and powerful features—referencing Excel values in Python, using pandas to analyze data in an Excel worksheet, using Python plotting modules, and more—and see how you can leverage the power of Python in your Excel sheets to gain insights from your data.
If you work with data, you know that Excel is one of the most popular and powerful tools at your disposal. Depending on your industry or field, you may also use Python for data analysis, forecasting, running machine learning models, and more. For many people who deal with data, its common to use both tools in the same workflow, and moving your data between the two can be a hassle. Good news! In the new public preview of Excel, you can now use Python directly in Excel, eliminating the need to move your data between the tools. In this course, Scott Simpson explores the Python features launched in the public preview, showing you how to manage your entire data workflow directly inside an Excel worksheet. Join Scott to learn about exciting and powerful features—referencing Excel values in Python, using pandas to analyze data in an Excel worksheet, using Python plotting modules, and more—and see how you can leverage the power of Python in your Excel sheets to gain insights from your data.
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📖 100+ DSA Interview Questions for Cracking FAANG with Animated Examples for Deeper Understanding and Faster Learning
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01 - Introduction.zip
114.4 MB
01 - Introduction
02 - Recursion.zip
231.8 MB
02 - Recursion
03 - Cracking Recursion Interview Questions.zip
154 MB
03 - Cracking Recursion Interview Questions
04 - Bonus CHALLENGING Recursion Problems.zip
5.4 KB
04 - Bonus CHALLENGING Recursion Problems
05 - Big O Notation.zip
218.9 MB
05 - Big O Notation
06 - Top Big O Interview Questions.zip
85.1 MB
06 - Top Big O Interview Questions
07 - Arrays - Part 01.zip
367.3 MB
07 - Arrays - Part 01
07 - Arrays - Part 02.zip
212.5 MB
07 - Arrays - Part 02
08 - Python Lists.zip
321.1 MB
08 - Python Lists
09 - PROJECT - ArraysLists.zip
53.3 MB
09 - PROJECT - ArraysLists
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