Utvidet returrett til 31. januar 2025

Python Programming Crash Course

- A Crash Course Guide to Learn Programming Python, all you Need to Learn for Introducing you in the Programming World.

Om Python Programming Crash Course

Do your customers want to learn Python Programming well and fast?Do you want to make sure that by buying just one book they will come back to buy again and again?Then, You Need This Book in Your Library and... Your Customers Will Never Stop to Use and Gift It! ? - WHY THIS BOOK CAN HELP YOUR CUSTOMERS This Python Programming Crash Course is for you. This is the most complete Python guide with 2 Manuscripts in 1 book: 1- Python Programming For Beginners 2- Python for Data Analysis A great opportunity: Simplicity, Best Order and Selection of topics to Learn Fast and Selected Practice Exercises and Examples. In Manuscripts 1 "Python Programming 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 for Data Analysis" 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... Buy it NOW and let Your Customers get addicted to this amazing book

Vis mer
  • Språk:
  • Engelsk
  • ISBN:
  • 9781803062242
  • Bindende:
  • Paperback
  • Sider:
  • 230
  • Utgitt:
  • 17. august 2021
  • Dimensjoner:
  • 203x254x12 mm.
  • Vekt:
  • 463 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 18. desember 2024

Beskrivelse av Python Programming Crash Course

Do your customers want to learn Python Programming well and fast?Do you want to make sure that by buying just one book they will come back to buy again and again?Then, You Need This Book in Your Library and... Your Customers Will Never Stop to Use and Gift It!
? - WHY THIS BOOK CAN HELP YOUR CUSTOMERS
This Python Programming Crash Course is for you. This is the most complete Python guide with 2 Manuscripts in 1 book:
1- Python Programming For Beginners
2- Python for Data Analysis

A great opportunity: Simplicity, Best Order and Selection of topics to Learn Fast and Selected Practice Exercises and Examples.

In Manuscripts 1 "Python Programming 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 for Data Analysis" 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...

Buy it NOW and let Your Customers get addicted to this amazing book

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