Python Certification Course at Simplilearn Overview
Duration | 8 hours |
Total fee | ₹9,999 |
Mode of learning | Online |
Credential | Certificate |
Python Certification Course at Simplilearn Highlights
- Industry-recognized course completion certificate
- Lifetime access to high-quality self-paced e-learning content curated by industry experts
- Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
- 24x7 learner assistance and support
- English-like commands and easy to learn.
Python Certification Course at Simplilearn Course details
- For Professionals or Anyone interested in learning Python for software development or data science job roles
- Web scraping
- Object oriented programming
- Operators & Methods
- Django
- Indexing
- Sets and Dictionaries
- Conditional statements
- Loops
- Functions & File handling
- Errors and exceptions
- Shell scripting
- A powerful set of libraries available for game development, data science, and more
- Python can be used for many applications like building web applications, game development, machine learning, scientific and numerical computing.
- The modules, lesson-end projects, and assignments comprising the curriculum cover data operations in Python, strings, conditional statements, error handling, shell scripting, web scraping and the commonly used Python web framework Django
- 5 lesson-end knowledge checks and 1 real-life course-end project
- This course is also available as Online Bootcamp with90 days of flexible access to online classes
- The Fee structure for online Bootcamp ( INR 17999)
- 30 hours of instructor-led training
Python Certification Course at Simplilearn Curriculum
Lesson 01: Python Basics
1.1 Course Introduction
1.2 Learning Objectives
1.3 Introduction to Python and It s Features
1.4 Python Introduction - Uses and Flavours
1.5 Python Introduction - Why Python
1.6 Software Installation and Environment Setup
1.7 Demo: Software Installation and Environment setup
1.8 Data Types
1.9 Input Output Functions
1.10 Demo: Data Types and Input Output Functions
Lesson 02: Data Operations
2.1 Learning Objectives
2.2 Data Type Conversion
2.3 Arithematic Operators
2.4 Comparision Operators
2.5 Assignment Operators
2.6 Bitwise Operators
2.7 Demo: Data Operations
2.8 String Methods
2.9 Demo: String Operations
2.10 List Methods
2.11 Demo: List Operations
2.12 Tuple Methods
2.13 Demo: Tuple Operations
2.14 Sets Methods
2.15 Dictionary Methods
2.16 Demo: Dictionary Operations
Lesson 03: Conditional Statements and Functions
3.1 Learning Objective
3.2 Expressions
3.3 Conditional Statement
3.4 Demo - Conditional Statement
3.5 Loops - for loop
3.6 Loops - while loop
3.7 Demo - Loops
3.8 Functions
3.9 Demo - Functions
Lesson 04: Error Handling and File Operations
4.1 Learning Objective
4.2 File Handling
4.3 Demo - File Handling
4.4 Errors
4.5 Exceptions
4.6 Demo - Errors and Exceptions
4.7 Logging
4.8 Demo - Logging
4.9 Python Debugger(Pdb Module)
4.10 Demo - Python Debugger
4.11 Objects and Classes
4.12 Objects and functions
4.13 Demo - Object Oriented Programming
Lesson 05: Shell Scripting and Django
5.1 Learning Objective
5.2 Shell Scripting
5.3 Sys, OS and Sub-Process module
5.4 Reading Writing Files and Working with Date-time Module
5.5 Demo - Shell Scripting in Python
5.6 Web Scrapping
5.7 Demo - Web Scrapping using Beautiful Soup
5.8 Django - Intro and Architecture
5.9 Demo - Django Installation
Lesson 06: Logging Infrastructure
6.01 Learning Objectives
6.02 Introduction to Python Logging
6.03 Concepts of Python Logging
6.04 Changing the Format of Logs
6.05 Python Logger
6.06 Using Python Logging
6.07 Logging Handlers and Formatters
6.08 Logging Flow
6.09 Configuring Logging
6.10 Extending Logging
6.11 Buffering Logs
6.12 Logging Best Practices
6.13 Rotating Log Files
6.14 Logging to a File
Lesson 07: Unittest Infrastructure
7.01 Learning Objective
7.02 Introduction to Unit Testing
7.03 Introduction to Unittest Framework
7.04 Concept of Unittest Framework
7.05 Command Line
7.06 Python Unittest
7.07 Using Python Unittest
7.08 Testing for Exceptions
7.09 Test Fixtures
7.10 Python Assertions
7.11 Classes and Functions
7.12 Pros and Cons
7.13 Mock object library
Lesson 08: Networking Concepts
8.01 Learning Objective
8.02 Introduction to Python Networking
8.03 Sockets
8.04 Socket Programming
8.05 Working with Python Networking
8.06 Data Models
8.07 Building Client-Server Communication
8.08 Socket Types
8.09 TCP Sockets
8.10 The Tornado Frameworrk
8.11 Building a Python Chat Server
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