Python Application Series: Python Made Simple
MP4 | Video: AVC 1018 x 572 | Audio: AAC 44 KHz 2ch | Duration: 04:26:41 | 914.51 MB
Genre: eLearning | Language: English

The following 14 topics will be covered through a combination of lecture and hands-on to maximize your learning of the Python language:

Introducing Python. This first topic in the Python Made Simple series introduces you to the world of Python. Learn the history of Python, Python core features, and how Python compares with Java. Follow along with Rohit as he shows you how to download Python and where to find the official Python documentation.

Setting up the Python Environment. This second video in the Python Made Simple series explains how to install and set up the Python environment on the Linux, Windows (using Anaconda), and Mac operating systems.
Applying the Basic Syntax of Python. This third video in the Python Made Simple series shares the basic syntax of Python including the syntax standards for lines, indentation, multiline statements, strings, comments, and multiple statements on a single line. Basic commands are also covered including the conditional, loop, and print statements. Variables and operators are explained. Follow along with Rohit in this hands-on session and write your first Python programs!

Writing Python Functions. This fourth video in the Python Made Simple series explains functions in detail. Define and call a function (both with and without arguments). Write code containing functional arguments and return statements. Use both global and local variables. Follow along with Rohit and build upon the application you created in the last session.
Creating Python Modules. This fifth video in the Python Made Simple series explains modules in detail. Master creating modules and the import and from.import statements. Follow along with Rohit in this hands-on session and build upon your application from the previous session.

Creating Python Lists. This sixth video in the Python Made Simple series explains how to work with lists and arrays in Python. Follow along with Rohit in this hands-on session and build upon your application from the previous session.

Creating Python Tuples. This seventh video in the Python Made Simple series explains how to create Python tuples. Practice applying the tuple operations of length, concatenation, membership, and iteration. Use indexing and slicing in accessing lists. Follow along with Rohit in this hands-on session.

Understanding the Python Dictionary. This eighth video in the Python Made Simple series covers the Python Dictionary. Practice accessing values from the dictionary, applying the length and type operations, and using the Clear(), Copy(), Keys(), and Values() methods. Follow along with Rohit in this hands-on session.

Working with Strings in Python. This ninth video in the Python Made Simple series explains how to work with strings in Python. Practice accessing values from strings and applying string operators and methods. Follow along with Rohit in this hands-on session.

Applying Date and Time in Python. This tenth video in the Python Made Simple series explains how to code for date and time in Python. Practice getting the current date and time, and using a number of built-in time and date Python modules such as Time.clock and Calendar.month. Follow along with Rohit in this hands-on session.

Creating Classes in Python. This 11th video in the Python Made Simple series explains how to create classes in Python. Create classes, objects, and functions. Understand how class inheritance works. Follow along with Rohit in this hands-on session and build upon your application from the earlier session.

Coding for Exception Handling in Python. This 12th video in the Python Made Simple series explains the concept of an exception, how to handle an exception in Python, and the Try-finally clause. Follow along with Rohit in this hands-on session and build upon your application from the previous session.

Performing File I/O in Python. This 13th video in the Python Made Simple series explains how to perform file input/output (I/O) in Python. Practice opening and closing files. Read and write data to files, and delete files. Follow along with Rohit in this hands-on session and build upon your application from the previous session.

Mastering Numpy. This 14th video in the Python Made Simple series covers the Python package Numpy. Practice working with Numpy attributes (including shape, reshape, arrange, and item size) and Numpy arrays (including empty, zeros, and ones). Follow along with Rohit in this hands-on session and build upon your application from the previous session.