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IPython and Jupyter Notebook In Practice: 3-in-1

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  • At udemy.com you can purchase IPython and Jupyter Notebook In Practice: 3-in-1 for only $10.00
  • The lowest price of IPython and Jupyter Notebook In Practice: 3-in-1 was obtained on January 12, 2026 8:45 am.

Original price was: $39.99.Current price is: $10.00.

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Last updated on January 12, 2026 8:45 am
IPython and Jupyter Notebook In Practice: 3-in-1
IPython and Jupyter Notebook In Practice: 3-in-1

Original price was: $39.99.Current price is: $10.00.

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IPython and Jupyter Notebook In Practice: 3-in-1

★★★★★
$39.99
$10.00
 in stock
Udemy.com
as of January 12, 2026 8:45 am

Use IPython and Jupyter Notebook to sharpen your skills for your data analysis and visualization tasks

Created by: Packt Publishing
Tech Knowledge in Motion
Rating:4.17 (46reviews)     400students enrolled

What Will I Learn?

  • Use the IPython notebook to modernize the way you interact with Python
  • Perform highly efficient computations with NumPy and Pandas
  • Optimize your code using parallel computing and Cython
  • Code better: write high-quality, readable, and well-tested programs; profile and optimize your code; and conduct reproducible interactive computing experiments
  • Visualize data and create interactive plots in the Jupyter Notebook
  • Write blazingly fast Python programs with NumPy, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA), parallel IPython, Dask, and more
  • Analyze data with Bayesian or frequentist statistics (Pandas, PyMC, and R), and learn from actual data through machine learning (scikit-learn)
  • Gain valuable insights into signals, images, and sounds with SciPy, scikit-image, and OpenCV
  • Simulate deterministic and stochastic dynamical systems in Python
  • Familiarize yourself with math in Python using SymPy and Sage: algebra, analysis, logic, graphs, geometry, and probability theory

Requirements

  • Knowledge of Python is required, whereas no knowledge of IPython is necessary.

Target audience

  • This course is for Python developers, data scientists, and analysts who use Python as a scripting language or for software development, and are interested in learning IPython and Jupyter Notebook for numerical computing and data science.

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