
Python Fast Track
This great resource is created especially for those who want to apply Python for their research and professional work in scientific computing, data analysis and machine learning, including chapters on NumPy and Pandas, two of the most popular Python application libraries. It demonstrates how to effectively master key applications of Python such as web development, software creation, task automation, and data analysis. The book covers data analysis and machine learning tasks that greatly benefit from Python, thanks to libraries such as TensorFlow and Keras that enable efficient coding.
- Explains the core concepts of Python programming in a simplified way that is suitable for people who have little or no programming experience
- Incorporates a wide range of simple, step-by-step examples and illustrations to highlight fundamental concepts so readers can learn easily
- Provides practice exercises designed to expedite the learning process and provide hands-on application experience
- Offers a wide range of functionality, from basic processes to complex operations, including chapters on Pandas and NumPy, two of the most popular Python libraries for data analysis
Original: $180.00
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Description
This great resource is created especially for those who want to apply Python for their research and professional work in scientific computing, data analysis and machine learning, including chapters on NumPy and Pandas, two of the most popular Python application libraries. It demonstrates how to effectively master key applications of Python such as web development, software creation, task automation, and data analysis. The book covers data analysis and machine learning tasks that greatly benefit from Python, thanks to libraries such as TensorFlow and Keras that enable efficient coding.
- Explains the core concepts of Python programming in a simplified way that is suitable for people who have little or no programming experience
- Incorporates a wide range of simple, step-by-step examples and illustrations to highlight fundamental concepts so readers can learn easily
- Provides practice exercises designed to expedite the learning process and provide hands-on application experience
- Offers a wide range of functionality, from basic processes to complex operations, including chapters on Pandas and NumPy, two of the most popular Python libraries for data analysis









