1. python for data science
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This document provides an overview of a Python for Data Science course taught by Dr. Nisha Arora. The course covers Python basics, data structures, libraries for data science like NumPy, Pandas, Matplotlib and Scikit-learn. It includes lessons on data analysis and processing in Pandas, data visualization, coding best practices, and tips/tricks. The course materials will include presentations, code files, data files, use cases, recommended readings and bonus introductory videos on installing Python and getting started with Jupyter notebooks.
![String Slicing
1. Indexing/counting starts with 0. First character gets counted as zero
2. `[a:b]` means starting at ath position and extracting until (b-1)th position
3. `[a:]` means starting at ath position till end
4. `[:a]` means starting at the beginning until (a-1)th position
DR NISHA ARORA](https://image.slidesharecdn.com/1-210710155029/85/1-python-for-data-science-24-320.jpg)
![String Slicing
5. negative sign with indices mean counting from right instead of natural left.
6. `[:-a]` means starting at the beginning and going up til ath position from end. Counting from end also starts
with 0.
7. `[-a:]` means starting at (a+1)th character from the end and going up till last character.
8. `[a:-b]` means starting at ath character at the beginning and going till bth position from end
9. `[-a:-b]` means starting at (a+1)th character from the end and going up till bth position from end
DR NISHA ARORA](https://image.slidesharecdn.com/1-210710155029/85/1-python-for-data-science-25-320.jpg)
1. python for data science
- 1. Help me understand your requirement ✓ Your Background ✓ Objective ✓ Expectation from the course ✓ Anything Else?
- 2. PYTHON FOR DATA SCIENCE - Dr Nisha Arora
- 3. Dr. Nisha Arora is a proficient educator, passionate trainer, You Tuber, occasional writer, and a learner forever. ✓ PhD in Mathematics. ✓ Works in the area of Data Science, Statistical Research, Data Visualization & Storytelling ✓ Creator of various courses ✓ Contributor to various research communities and Q/A forums ✓ Mentor for women in Tech Global 4 About Me An educator by heart & a trainer by profession.
- 4. ✓ In-depth Technical Answers ✓ Coding Queries ✓ Layman’s Term Explanation ✓ Research Queries ✓ Blog Posts ✓ Slide Decks ✓ Publications ✓ Tutorials /My Talks ✓ Mentoring ✓ Articles & Much More My Contribution to the Community
- 5. Data Science Job Roles ✓ Product Owner ✓ Data Engineer ✓ Data Analysts ✓ Data Scientist/ ML Engineer ✓ Visualization Expert/ Storyteller ✓ Software Engineer ✓ Domain Expert ✓ Operations Team
- 6. Required Technical Skills Data Analysts Data Scientists Data Engineer Excel Statistical Analysis Python/ R Databases Data Viz & Storytelling SQL/ Databases R/Python/SAS EDA/Data Wrangling/Data Prep Data Warehousing/Data Architecture Tableau/PowerBI Machine Learning/Deep Learning Distributed Computing (Hadoop/Map Reduce) Statistical Analysis SQL Data Management & Data Security Data Viz & Storytelling R, Python, SAS (sometimes) Docker, Kubernaties, Kafka, Spark, Git GitHub EDA/Data Wrangling/Data Prep Tensorflow, Keras Cloud Tech (AWS/Azure/GCP) Dashboards & Reporting Git/ GitHub Big Data Services 11 Soft Skills Domain Knowledge
- 7. Top companies using Python DR NISHA ARORA
- 8. Python is used for DR NISHA ARORA ❑ Web development ❑ Desktop Application ❑ IOT Programming ❑ Data Science & Analytics ❑ Game development
- 9. Popularity of Python DR NISHA ARORA https://insights.stackoverflow.com/trends?tags=python
- 10. Python for Data Science 15 Coding Best Practices Tips & Tricks ✓ Programming Basics ✓ Data Science/ML Concepts ✓ Libraries for Data Science/ML ✓ Projects
- 11. Agenda 1. Getting started with Google Colab for Python 2. Python Basics 3. Data Structure in Python 4. Numpy, Pandas, Matplotlib, Seaborn, Scikit- learn 5. Data Analysis & Processing in Pandas 6. Data Visualization & Storytelling with Python Bonus for Python Beginners 1. Downloading & Installing Python 2. Selecting the IDE 3. Python files (.py files) Vs ipython notebooks (.ipynb files) 4. Getting started with Jupyter & Jupyter Labs 5. Setting-up start-up folder in Jupyter 6. Getting started with Spyder DR NISHA ARORA
- 12. What will you get? DR NISHA ARORA ✓ Presentations ✓ Quick Summary of each lesson ✓ Code Files ✓ Data Files ✓ Use-cases ✓ Web-resources ✓ Recommended Readings ✓ Tips & Tricks ✓ Bonus Videos
- 14. Data Types in Python Numbers – int, float, complex Strings Boolean Object DR NISHA ARORA
- 15. Data Types in Python DR NISHA ARORA
- 16. Operators in Python DR NISHA ARORA
- 17. Mathematical Operators DR NISHA ARORA
- 18. Comparison Operators DR NISHA ARORA
- 19. Boolean/Logical Operators DR NISHA ARORA
- 20. Strings in Python DR NISHA ARORA
- 21. Strings Strings in Python are immutable, iterable and ordered. which means - we can not updates or delete values from a string - we can iterate over elements of a string - we can perform indexing & slicing over a string DR NISHA ARORA
- 22. Escape Sequence Escape character `` Escaping allows the normal interpretation of the character to be suspended and that string to be defined as normal. DR NISHA ARORA
- 23. String Methods Check with dir(str) DR NISHA ARORA
- 24. String Slicing 1. Indexing/counting starts with 0. First character gets counted as zero 2. `[a:b]` means starting at ath position and extracting until (b-1)th position 3. `[a:]` means starting at ath position till end 4. `[:a]` means starting at the beginning until (a-1)th position DR NISHA ARORA
- 25. String Slicing 5. negative sign with indices mean counting from right instead of natural left. 6. `[:-a]` means starting at the beginning and going up til ath position from end. Counting from end also starts with 0. 7. `[-a:]` means starting at (a+1)th character from the end and going up till last character. 8. `[a:-b]` means starting at ath character at the beginning and going till bth position from end 9. `[-a:-b]` means starting at (a+1)th character from the end and going up till bth position from end DR NISHA ARORA
- 26. String Slicing _ stride The optional, third number in a slice specifies the stride. If omitted, the default is 1: return every character in the requested range To return every kth letter, set the stride to k. Negative values of k reverse the string. DR NISHA ARORA