# Tag: matplotlib

### iPython Notebooks

Cheat Sheets / References, Learning Guides, Etc. / TutorialFrom GitHub: “This repo contains various iPython notebooks I’ve created to experiment with libraries and work through exercises, and explore subjects that I find interesting.” The notebooks include: Popular Python data science libraries NumPy SciPy Matplotlib Pandas Statsmodels Scikit-learn Seaborn NetworkX PyMC NLTK DEAP Genism Machine Learning Exercises Tensorflow Deep Learning Exercises Spark Big Data Labs Miscellaneous

### Learning Python for Data Analysis and Visualization

Courses / Self-paced online courseFrom Udemy: “Learn python and how to use it to analyze, visualize and present data. Includes tons of sample code and hours of video. What Will I Learn? Have an intermediate skill level of Python Programming Use the Jupyter Notebook Environment Use the numpy library to create and manipulate arrays. Use the pandas module with Python to create and structure data. Learn how to work with various data formats within Python, … Continue Reading

### Python for Data Science and Machine Learning Bootcamp

Courses / Self-paced online courseFrom Udemy: “Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more! What Will I Learn? Use Python for Data Science and Machine Learning Use Spark for Big Data Analysis Implement Machine Learning Algorithms Learn to use NumPy for Numerical Data Learn to use Pandas for Data Analysis Learn to use Matplotlib for Python Plotting Learn to use Seaborn for statistical plots Use Plotly for interactive … Continue Reading

### Comprehensive learning path – Data Science in Python

Curricula / References, Learning Guides, Etc.From Analytics Vidhya: “So, you want to become a data scientist or may be you are already one and want to expand your tool repository. You have landed at the right place. The aim of this page is to provide a comprehensive learning path to people new to python for data analysis. This path provides a comprehensive overview of steps you need to learn to use Python for data analysis. … Continue Reading

### Python Data Science Handbook: Essential Tools for Working with Data

Books / physical books or multiple formatsFrom Amazon: “For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this … Continue Reading

### DataCamp – Introduction to Data Visualization with Python

Courses / Interactive tutorial style courseFrom DataCamp: “This course extends Intermediate Python for Data Science to provide a stronger foundation in data visualization in Python. The course provides a broader coverage of the Matplotlib library and an overview of Seaborn (a package for statistical graphics). Topics covered include customizing graphics, plotting two-dimensional arrays (e.g. pseudocolor plots, contour plots, images, etcl), statistical graphics (e.g., visualizing distriubtions & regressions), and working with time series and image data.” This … Continue Reading

### DataCamp – Intermediate Python for Data Science

Courses / Interactive tutorial style courseFrom DataCamp: “The intermediate python course is crucial to your data science curriculum. Learn to visualize real data with matplotlib’s functions and get to know new data structures such as the dictionary and the Pandas DataFrame. After covering key concepts such as boolean logic, control flow and loops in Python, you’re ready to blend together everything you’ve learned to solve a case study using hacker statistics.” This course consists of 5 … Continue Reading

### Coursera Applied Data Science with Python Specialization

Courses / Scheduled online courseFrom Coursera: The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.” The … Continue Reading

### Applied Plotting, Charting and Data Representation in Python

Courses / Scheduled online courseThis course is #2 of 5 in the Applied Data Science with Python Specialization from the University of Michigan. From Coursera: “This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of … Continue Reading

### Metis Data Science Bootcamp

In-Person Bootcamp / ProgramsLearn Data Science in 12 weeks with 100% in-person instruction from expert data scientists.

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