{ "item_title" : "Python Crash Course", "item_author" : [" Aiden Phillips "], "item_description" : "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", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/80/306/411/1803064110_b.jpg", "price_data" : { "retail_price" : "49.99", "online_price" : "49.99", "our_price" : "49.99", "club_price" : "49.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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