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This Python Training course covers the fundamentals of Python and how to apply it to real-world applications. 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.

Python Development Training Key Features

100% Money Back Guarantee
No questions asked refund*
At Fiesttech, we value the trust of our patrons immensely. But, if you feel that this Python Development Training does not meet your expectations, we offer a 7-day money-back guarantee. Just send us a refund request via email within 7 days of purchase and we will refund 100% of your payment, no questions asked!
  • 20+ assisted practices on all modules
  • Industry-recognized course completion certificate
  • 5 lesson-end knowledge checks and 1 real-life course-end project
  • 8X higher interaction in live online classes conducted by industry experts

Skills Covered

  • Web scraping
  • Objectoriented programming
  • Operators
  • Methods
  • Django
  • Indexing
  • Sets
  • Dictionaries
  • Conditional statements
  • Loops
  • Functions
  • File handling
  • Errors and exceptions
  • Shell scripting

 

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Benefits

The StackOverflow’s developer survey of 2019 states that Python is the second most loved programming language in the world. Also, it is the most sought after programming language for Data Scientists, AI engineers, and Machine Learning engineers. Python developers earn around $115,000 per annum.

Designation
Annual Salary
Hiring Companies
Annual Salary
3.96L
7.01L
14.87L
Min
Average
Max
Hiring Companies

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Training Options

Explore all of our training options and pick your suitable ones to enroll and start learning with us! We ensure that you will never regret it!

SELF-PACED LEARNING
ONLINE BOOTCAMP
.
  • 90 days of flexible access to online classes
  • Lifetime access to high-quality self-paced e-learning content and live class recordings
  • 24x7 learner assistance and support
  • Classes starting from:-

7th May: Weekend Class

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CORPORATE TRAINING
  • Blended learning delivery model (self-paced eLearning and/or instructor-led options)
  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

Course Curriculum

Eligibility

Anyone interested in learning Python for software development or data science job roles will benefit from this Python certification. This Python course also is well-suited for:
Software developers
Software engineers
Technical leads
Architects
Programming enthusiasts

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Pre-requisites

No prior programming knowledge or experience is necessary to take this online Python course.

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Course Content

Lesson 01: Python Basics
0 Preview
Lesson 02: Data Operations
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Lesson 03: Conditional Statements and Functions
0
Lesson 04: Error Handling and File Operations
0
Lesson 05: Shell Scripting and Django
0
Lesson 06: Logging Infrastructure
0
Lesson 07: Unittest Infrastructure
0
Lesson 08: Networking Concepts
0
1.1 Course Introduction
01:21
1.2 Learning Objectives
02:49
1.3 Introduction to Python and It s Features
08:22
1.4 Python Introduction - Uses and Flavours
06:22
1.5 Python Introduction - Why Python
00:55
1.6 Software Installation and Environment Setup
01:11
1.7 Demo: Software Installation and Environment setup
05:55
1.8 Data Types
08:44
1.9 Input Output Functions
01:43
1.10 Demo: Data Types and Input Output Functions
10:11
1.11 Key Takeaways
00:33
2.1 Learning Objectives
00:34
2.2 Data Type Conversion
04:34
2.3 Arithematic Operators
02:49
2.4 Comparision Operators
03:55
2.5 Assignment Operators
04:55
2.6 Bitwise Operators
01:49
2.7 Demo: Data Operations
00:49
2.8 String Methods
05:11
2.9 Demo: String Operations
05:33
2.10 List Methods
03:55
2.11 Demo: List Operations
02:11
2.12 Tuple Methods
03:11
2.13 Demo: Tuple Operations
01:11
2.14 Sets Methods
01:49
2.15 Dictionary Methods
01:49
2.16 Demo: Dictionary Operations
02:11
2.17 Key Takeaway
00:23
3.1 Learning Objective
00:20
3.2 Expressions
03:23
3.3 Conditional Statement
03:05
3.4 Demo - Conditional Statement
04:44
3.5 Loops - for loop
02:49
3.6 Loops - while loop
01:49
3.7 Demo - Loops
02:11
3.8 Functions
02:49
3.9 Demo - Functions
02:49
3.10 Key Takeaway
02:49
4.1 Learning Objective
00:24
4.2 File Handling
02:49
4.3 Demo - File Handling
04:22
4.4 Errors
04:56
4.5 Exceptions
05:22
4.6 Demo - Errors and Exceptions
05:56
4.7 Logging
06:11
4.8 Demo - Logging
04:54
4.9 Python Debugger(Pdb Module)
03:49
4.10 Demo - Python Debugger
04:54
4.11 Objects and Classes
04:44
4.12 Objects and functions
05:11
4.13 Demo - Object Oriented Programming
10:45
4.14 Key Takeaway
00:33
5.1 Learning Objective
02:49
5.2 Shell Scripting
02:49
5.3 Sys, OS and Sub-Process module
04:44
5.4 Reading Writing Files and Working with Date-time Module
01:49
5.5 Demo - Shell Scripting in Python
05:34
5.6 Web Scrapping
03:49
5.7 Demo - Web Scrapping using Beautiful Soup
01:49
5.8 Django - Intro and Architecture
05:34
5.9 Demo - Django Installation
07:43
5.10 Key Takeaway
02:49
6.01 Learning Objectives
02:49
6.02 Introduction to Python Logging
01:49
6.03 Concepts of Python Logging
04:12
6.04 Changing the Format of Logs
05:55
6.05 Python Logger
05:54
6.06 Using Python Logging
02:49
6.07 Logging Handlers and Formatters
02:49
6.08 Logging Flow
05:54
6.09 Configuring Logging
01:23
6.10 Extending Logging
02:49
6.11 Buffering Logs
00:49
6.12 Logging Best Practices
03:49
6.13 Rotating Log Files
01:49
6.14 Logging to a File
02:49
6.15 Summary
00:11
7.01 Learning Objective
02:49
7.02 Introduction to Unit Testing
05:49
7.03 Introduction to Unittest Framework
02:49
7.04 Concept of Unittest Framework
01:23
7.05 Command Line
02:49
7.06 Python Unittest
02:49
7.07 Using Python Unittest
06:43
7.08 Testing for Exceptions
03:49
7.09 Test Fixtures
02:49
7.10 Python Assertions
01:22
7.11 Classes and Functions
06:11
7.12 Pros and Cons
07:11
7.13 Mock object library
01:43
7.14 Summary
02:11
8.01 Learning Objective
00:31
8.02 Introduction to Python Networking
04:49
8.03 Sockets
03:11
8.04 Socket Programming
06:54
8.05 Working with Python Networking
06:11
8.06 Data Models
00:56
8.07 Building Client-Server Communication
06:11
8.08 Socket Types
02:11
8.09 TCP Sockets
04:22
8.10 The Tornado Frameworrk
06:11
8.11 Building a Python Chat Server
10:12
8.12 Summary
00:11

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Python Development Training Exam & Certification

To obtain the Python certification, you must:

Complete 85 percent of the online self-learning course or attend 1 complete batch of this training
Successful evaluation in the project


You must have a computer with:

Chrome or Chromium browser
Strong internet access
Webcam
Microphone, speakers, and headset

FAQS

Python Development Training Course FAQs

Python language has a simple syntax and English-like commands which makes it easy to learn. However, to become a Python programmer, you need a higher level of expertise and understand how to use it in a variety of applications. This Python course can help you get hands-on experience in using Python and its powerful libraries that is required to become a Python programmer.

Fiesttech’s Python training is offered by highly qualified trainers who have years of proven experience in Python programming and have worked on various industry projects. They also have rich experience in training students and giving them the best learning environment.

This Python certification course is ideal for professionals willing to become software developers or preparing for any data-related role like data scientist, data analyst, or AI engineer.

According to ZipRecruiter, the average annual salary of a Python Programmer in the United States is $115,066. By getting Python certified, such professionals can further increase their salary.

If you miss any session, you can refer to the recordings that are provided after each class.

Yes, we do provide Data Science with Python course for the aspirants who are looking to make their career in Data Science. It is recommended to enroll in this course to gain knowledge in data analysis, machine learning, data visualization, web scraping, and natural language processing.

 

Among the various programming languages available in the market, Python has made its way to become one of the fastest-growing languages. Python can be used for many applications like building web applications, game development, machine learning, scientific and numerical computing. Learning Python is beneficial whether you want to become a data scientist, machine learning engineer, data analyst, or even a software developer.

The key features of Python include:

  • English-like commands and easy to learn.
  • The language is open-source.
  • A powerful set of libraries available for game development, data science, and more.
  • Used to make Graphical User Interfaces (GUI).
  • Dynamically-types language.

After deducing the administration fee, the remaining course fee will be refunded on canceling the enrollment. Please go through our Refund Policy to find out more.

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