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WHAT IS PYTHON

Python is a high level, interpreted, object-oriented programming language used for general purpose that has gained popularity because of its clear syntax and readability. It is relatively easy to learn and is portable, meaning its statements can be interpreted in a number of operating systems, including UNIX-based systems, Mac OS, MS-DOS, OS/2, and various versions of Microsoft Windows 98. The source code is freely available and can be modified and reused. Python has a significant number of users.

 

WHY PYTHON IS IMPORTANT

  • Python is processed at runtime by the interpreter and you do not need to compile your before executing it.
  • Python supports technique of programming that encapsulates code within objects.
  • Python is a great language for the beginner programmers and supports the development of a wide range of applications from simple text processing to www browsers to games.
  • Python’s source code is fairly easy-to-maintain.
  • The library is very portable and cross-platform compatible on UNIX, Windows and Macintosh.
  • Python allows interactive testing and debugging of snippets of code.
  • Python has the same interface on all platforms it runs on.
  • You can add low-level modules to the Python interpreter which enable programmers to add to or customize their tools to be more efficient.
  • Python provides interfaces to all major commercial databases.
  • Python provides a better structure and support for large programs than shell scripting.

 

COURSE OBJECTIVE

1. In depth understanding of Python programming

2. Write programs in Python

 

 PROJECT

You will be doing a project which involves all the topics you learned from the course. This is an individual project for which the instructor will be defining the problem statement at the end of the course. This project will not take more than 2 hours to complete it.

 

CAREER BENEFITS

  1. Companies such as Google, Yahoo!, Disney, Nokia, and IBM all use Python.
  2. Python had the largest year-on-year job demand growth at 19%.
  3. The overall hiring demand for IT professionals dipped year over year by 5% as of January 2016, except for Python programmers which increased by 8.7%.
  4. Python developers ranked #8 of the most in-demand tech workers, making an average of $106k/year.

 

WHO SHOULD TAKE THIS COURSE

  1. Developers
  2. Software Engineers
  3. Anyone who wants to build a career in Python

Course Curriculum

Lesson 00 - Course Overview
0.1 Introduction 00:00:00
0.2 Offerings 00:00:00
0.3 Course Objectives 00:00:00
0.4 Course Overview 00:00:00
0.5 Target Audience 00:00:00
0.6 Course Prerequisites 00:00:00
0.7 Need of Python 00:00:00
0.8 Python vs. Rest Other Languages 00:00:00
0.9 Value to the Professionals 00:00:00
0.10 Value to the Professionals (contd.) 00:00:00
0.11 Value to the Professionals (contd.) 00:00:00
0.12 Lessons Covered 00:00:00
0.13 Conclusion 00:00:00
Lesson 01 - Introduction to Python
1.1 Introduction 00:00:00
1.2 Objectives 00:00:00
1.3 An Introduction to Python 00:00:00
1.4 Features of Python 00:00:00
1.5 The History of Python 00:00:00
1.6 Releases 00:00:00
1.7 Installation on Ubuntu-based Machines 00:00:00
1.8 Installation on Windows 00:00:00
1.9 Demo-Install and Run Python 00:00:00
1.10 Demo-Install and Run Python 00:00:00
1.11 Example of a Python Program 00:00:00
1.12 Modes of Python 00:00:00
1.13 Batch Script Mode 00:00:00
1.14 Demo-Run Python in the Batch Mode 00:00:00
1.15 Demo-Run Python in the Batch Mode 00:00:00
1.16 Interpreter Mode 00:00:00
1.17 Demo-Run Python in the Interpreter Mode 00:00:00
1.18 Demo-Run Python in the Interpreter Mode 00:00:00
1.19 Indentation in Python 00:00:00
1.20 Indentation in Python (contd.) 00:00:00
1.21 Writing Comments in Python 00:00:00
1.22 Business Scenario 00:00:00
1.23 Quiz 00:00:00
1.24 Summary 00:00:00
1.25 Conclusion 00:00:00
Lesson 02 - Python Data Types
2.1 Python Data Types 00:00:00
2.2 Objectives 00:00:00
2.3 Variables 00:00:00
2.4 Types of Variables 00:00:00
2.5 Types of Variables-String 00:00:00
2.6 Types of Variables-Numeric Types 00:00:00
2.7 Types of Variables-Boolean Variables 00:00:00
2.8 Types of Variables-Boolean Variables (contd.) 00:00:00
2.9 Types of Variables-List 00:00:00
2.10 Adding Elements to a List 00:00:00
2.11 Accessing the Elements of a List 00:00:00
2.12 Types of Variables-Dictionary 00:00:00
2.13 Adding Elements to a Dictionary 00:00:00
2.14 Accessing the Elements of a Dictionary 00:00:00
2.15 Dictionary Methods 00:00:00
2.16 Dictionary Methods (contd.) 00:00:00
2.17 Operators 00:00:00
2.18 Opeators (contd.) 00:00:00
2.19 Logical Operators 00:00:00
2.20 Logical Operators (contd.) 00:00:00
2.21 Logical Operators (contd.) 00:00:00
2.22 Arithmetic Operations on Numeric Values 00:00:00
2.23 Order of Operands 00:00:00
2.24 Operators on Strings 00:00:00
2.25 Variables Comparison 00:00:00
2.26 Variables Comparison (contd.) 00:00:00
2.27 Variables Comparison (contd.) 00:00:00
2.28 Quiz 00:00:00
2.29 Summary 00:00:00
2.30 Conclusion 00:00:00
Lesson 03 - Control Statements
3.1 Introduction 00:00:00
3.2 Objectives 00:00:00
3.3 Pass Statements 00:00:00
3.4 Conditional Statements 00:00:00
3.5 Types of Conditional Statements 00:00:00
3.6 If Statements 00:00:00
3.7 If…Else Statements 00:00:00
3.8 If…Else If Statements 00:00:00
3.9 If…Else If…Else Statements 00:00:00
3.10 Nested If Statements 00:00:00
3.11 Demo-Use “If…Else” Statement 00:00:00
3.12 Demo-Use “If…Else” Statement 00:00:00
3.13 In Clause 00:00:00
3.14 Ternary Operators 00:00:00
3.15 Quiz 00:00:00
3.16 Summary 00:00:00
3.17 Conclusion 00:00:00
Lesson 04 - Loops
4.1 Introduction 00:00:00
4.2 Objectives 00:00:00
4.3 Loops in Python 00:00:00
4.4 Range Function 00:00:00
4.5 For Loop 00:00:00
4.6 For Loop (contd.) 00:00:00
4.7 While Loop 00:00:00
4.8 Nested Loop 00:00:00
4.9 Demo-Create Loops 00:00:00
4.10 Demo-Create Loops 00:00:00
4.11 Break Statements 00:00:00
4.12 Continue Statements 00:00:00
4.13 Quiz 00:00:00
4.14 Summary 00:00:00
4.15 Conclusion 00:00:00
Lesson 05 - Functions
5.1 Introduction 00:00:00
5.2 Objectives 00:00:00
5.3 Introduction to Functions 00:00:00
5.4 Creating Functions 00:00:00
5.5 Calling Functions 00:00:00
5.6 Arguments and Return Statement 00:00:00
5.7 Variable-Length Arguments 00:00:00
5.8 Variable-Length Arguments (contd.) 00:00:00
5.9 Recursion 00:00:00
5.10 Demo-Create a Function 00:00:00
5.11 Demo-Create a Function 00:00:00
5.12 Quiz 00:00:00
5.13 Summary 00:00:00
5.14 Conclusion 00:00:00
Lesson 06 - Classes
6.1 Introduction 00:00:00
6.2 Objectives 00:00:00
6.3 Classes 00:00:00
6.4 Objects 00:00:00
6.5 Creating a Basic Class 00:00:00
6.6 Accessing Variables of a Class 00:00:00
6.7 Adding Functions to a Class 00:00:00
6.8 Built-in Class Attributes 00:00:00
6.9 Init Function 00:00:00
6.10 Example of Defining and Using a Class 00:00:00
6.11 Example of Defining and Using a Class (contd.) 00:00:00
6.12 Demo-Create a Class 00:00:00
6.13 Demo-Create a Class 00:00:00
6.14 Quiz 00:00:00
6.15 Summary 00:00:00
6.16 Conclusion 00:00:00
Lesson 07 - Imports and Modules
7.1 Introduction 00:00:00
7.2 Objectives 00:00:00
7.3 Modules 00:00:00
7.4 Creating Modules 00:00:00
7.5 Using Modules 00:00:00
7.6 Using Modules (contd.) 00:00:00
Python Interpreter Module Search 00:00:00
Demo-Create and Import a Module 00:00:00
Namespace and Scoping 00:00:00
Dir() Function 00:00:00
Dir() Function (contd.) 00:00:00
Global and Local Functions 00:00:00
Reload a Module 00:00:00
Packages in Python 00:00:00
Quiz 00:00:00
Summary 00:00:00
Conclusion 00:00:00
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