
Python Fast Track
A Complete Guide to Rapidly Mastering and Applying Python Programming
- Publisher's listprice EUR 167.99
-
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 7 126 Ft off)
- Discounted price 64 134 Ft (61 080 Ft + 5% VAT)
71 261 Ft
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Product details:
- Publisher Morgan Kaufmann
- Date of Publication 27 June 2025
- ISBN 9780443338236
- Binding Paperback
- No. of pages250 pages
- Size 235x191 mm
- Language English 700
Categories
Long description:
Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming adopts a simplified writing style and provides clear explanations to ensure ease of understanding, making it an ideal resource for those new to Python. Starting with the basics, the book covers fundamental concepts such as variables, data types, printing and prompting, lists, dictionaries, tuples, control structure, functions, and object-oriented concepts. The book includes everything you need to understand and apply more advanced programming techniques such as file handling, exception handling, and regex.
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
Table of Contents:
1. Breaking down a python program. Keywords, variables, identifiers, comments, escape sequences
2. Data types in Python
3. Printing and Prompting how to print, how to prompt and take user input
4. Lists/Dictionaries/tuples
5. Control structures
6. Functions
7. OOPS in python
8. Files
9. Exception handling
10. Regex matching
11. Numpy
12. Pandas