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Item #:
91385524
Python Crash Course: The Perfect Beginner's Guide to Learning Programming with Python on a Crash Course Even If You're New to Programming
Item #:
91385524
MYR 290
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This is the most complete Python guide with 2 Manuscripts in 1 book: Python For Beginners and Python Programming.
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What Stands Out
Beginner-Friendly
Designed specifically for newcomers to programming, providing a clear, structured learning path that simplifies complex concepts and facilitates easy understanding.
Comprehensive Curriculum
Covers essential Python programming topics, empowering users with practical skills and knowledge needed to build real-world applications quickly and effectively.
Hands-On Projects
Includes engaging projects that reinforce learning by allowing readers to apply their skills in practical situations, enhancing retention and confidence in programming.
Product Details
- Do you want to learn Python Programming well and fast?Are you looking for the best Python for Data Analysis and Analytics course?If yes, then this Python Crash Course is for you. This is the most complete Python guide with 2 Manuscripts in 1 book: 1-Python For Beginners2- Python ProgrammingA great opportunity: Simplicity, Best Order and Selection of topics to Learn Fast and Selected Practice Exercises and Examples.In Manuscripts 1 Python For Beginners you'll learn: What is PythonHow to install Python and what is the best distributionWhat are data types and variablesHow to work with numbers in PythonWhat operators there are in Python and when to use themHow to manipulate StringsHow to implement Program Flow ControlsHow to implement loops in PythonWhat are Python lists, Tuples, Sets, Dictionaries, and how to use themHow to create modules and functionsHow to program according to the Object-Oriented paradigmHow to create classesWhat are and how to use Inheritance, Polymorphism, Abstraction, and EncapsulationAnd much more...In Manuscript 2 Python programming you'll learn: What Data Analysis is and why it is importantWhat are the different types of Data AnalysisWhat are the 6 key steps of the Data Analysis process that you should followWhat are the applications of Data Analysis and AnalyticsHow to set up the Python environment for Data AnalysisWhat are and how to use Python Data StructuresHow to work with IPython/Jupyter NotebookHow to work with NumPyHow to visualize data with MatplotlibWhat other visualization libraries are out thereWhy is Big Data important and how to get the best out of itHow to leverage Neural Networks for Data AnalysisAnd much more...Click the BUY button and download the book now to start learning well and fast!
| Publisher | Aiden Phillips |
| Publication date | December 10, 2021 |
| Language | English |
| Print length | 266 pages |
| ISBN-10 | 1803064110 |
| ISBN-13 | 978-1803064116 |
| Item Weight | 1.71 pounds (780 grams) |
| Dimensions | 8 x 0.63 x 10 inches (20.3 x 1.6 x 25.4 cm) |
| Country of Origin | This item will be imported from US |
| What is in the box | Python Crash Course: The... For more details, please check description/product details |
Who Should Buy?
-
Complete Beginners
Ideal for individuals with no prior programming experience, offering a thorough introduction to Python.
-
Fast Learners
Well-suited for those who need to quickly grasp programming concepts and apply them in real-world scenarios.
-
Hobby Developers
Perfect for casual programmers looking to develop skills for personal projects or to enhance their creativity.
-
Seasoned Programmers
Not ideal for those with extensive programming knowledge who may find the content too simplistic or slow.
Product Description
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MYR 290
Order now and get it around Monday, October 19
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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Features & Benefits
- Learn Python programming quickly and effectively.
- Two comprehensive manuscripts covering all essential topics.
- Includes beginner-friendly topics and advanced data analysis techniques.
- Practical exercises to enhance learning and application.
- Guidance on leveraging Python for real-world data analysis.
- Perfect for anyone eager to master programming with Python.
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