Python Training in Austin

Watch Intro Video

8,784 Learners

Aligned to

Talk to our advisor

Group Enrollment with Friends or Colleagues |Get a quote

Aligned to

Python Course Overview

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 Certification Key Features

100% Money Back Guarantee

No questions asked refund*

At Simplilearn, we value the trust of our patrons immensely. But, if you feel that a course 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

5 lesson-end knowledge checks and 1 real-life course-end project

Industry-recognized course completion certificate

8X higher interaction in live online classes conducted by industry experts

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

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

Operators

Django

Sets

Conditional statements

Functions

Errors and exceptions

Objectoriented programming

Methods

Indexing

Dictionaries

Loops

File handling

Shell scripting

Web scraping

Objectoriented programming

Operators

Methods

Django

Indexing

Sets

Dictionaries

Conditional statements

Loops

Functions

File handling

Errors and exceptions

Shell scripting

Web scraping

Objectoriented programming

Operators

Methods

Django

Indexing

Sets

Dictionaries

Conditional statements

Loops

Functions

File handling

Errors and exceptions

Shell scripting

Take the first step to your goals

Lifetime access to self-paced e learning content

Benefits

According to the 2019 StackOverflow developer survey, Python is the second most popular programming language. Data Scientists, AI and Machine Learning Engineers prefer Python training in Austin for enhancing their career. Programmers with this Python course in Austin earn an annual salary of $115,000.

Designation
Annual Salary
Hiring Companies

Python Developer
Annual Salary
$68KMin
$92KAverage
$128KMax
Source: Glassdoor
Hiring Companies
Source: Indeed

Training Options

Self Paced Learning

Lifetime access to high-quality self-paced e-learning content curated by industry experts
24x7 learner assistance and support

58% Off$499$1,199

Corporate Training

Upskill or reskill your teams

Flexible pricing & billing options
Private cohorts available
Training progress dashboards
Skills assessment & benchmarking
Platform integration capabilities
Dedicated customer success manager

Python Course Curriculum

Eligibility

Python certification in Austin is beneficial to anybody interested in studying Python for software development or data science jobs. The Python course in Austin is also suitable for Software developers, Software engineers, Technical leads, Architects and Programming enthusiasts. Due to its simplicity and application in Data Science, programmers consider the Python course in Austin to be adequate.

Pre-requisites

To take the Python training in Austin, no prior programming expertise or experience is required. The Python course in Austin is often regarded as one of the easiest programming languages to learn, and it is also one of the most challenging programs to master. Learning python is easy when a proper training is given, but becoming a Python developer takes a lot of effort and patience. Hence, consider taking this Python course in Austin that helps you to master the Python language.

Course Content

Section 01 - Self Paced Learning Curriculum
Preview
- Lesson 01: Python Basics
  32:11Preview
  - 1.1 Course Introduction
    01:50
  - 1.2 Learning Objectives
    00:49
  - 1.3 Introduction to Python and It s Features
    06:10
  - 1.4 Python Introduction - Uses and Flavours
    06:16
  - 1.5 Python Introduction - Why Python
    00:55
  - 1.6 Software Installation and Environment Setup
    01:42
  - 1.7 Demo: Software Installation and Environment setup
    05:13
  - 1.8 Data Types
    04:24
  - 1.9 Input Output Functions
    01:23
  - 1.10 Demo: Data Types and Input Output Functions
    02:57
  - 1.11 Key Takeaways
    00:32
- Lesson 02: Data Operations
  01:11:35Preview
  - 2.1 Learning Objectives
    00:26
  - 2.2 Data Type Conversion
    04:36
  - 2.3 Arithematic Operators
    02:35
  - 2.4 Comparision Operators
    03:14
  - 2.5 Assignment Operators
    03:02
  - 2.6 Bitwise Operators
    02:16
  - 2.7 Demo: Data Operations
    26:54
  - 2.8 String Methods
    05:01
  - 2.9 Demo: String Operations
    04:37
  - 2.10 List Methods
    02:37
  - 2.11 Demo: List Operations
    02:43
  - 2.12 Tuple Methods
    01:40
  - 2.13 Demo: Tuple Operations
    02:50
  - 2.14 Sets Methods
    01:50
  - 2.15 Dictionary Methods
    03:25
  - 2.16 Demo: Dictionary Operations
    03:28
  - 2.17 Key Takeaway
    00:21
- Lesson 03: Conditional Statements and Functions
  30:57Preview
  - 3.1 Learning Objective
    00:20
  - 3.2 Expressions
    03:28
  - 3.3 Conditional Statement
    03:08
  - 3.4 Demo - Conditional Statement
    04:32
  - 3.5 Loops - for loop
    04:34
  - 3.6 Loops - while loop
    01:00
  - 3.7 Demo - Loops
    04:47
  - 3.8 Functions
    02:42
  - 3.9 Demo - Functions
    06:08
  - 3.10 Key Takeaway
    00:18
- Lesson 04: Error Handling and File Operations
  01:04:13Preview
  - 4.1 Learning Objective
    00:25
  - 4.2 File Handling
    05:48
  - 4.3 Demo - File Handling
    04:12
  - 4.4 Errors
    04:45
  - 4.5 Exceptions
    04:51
  - 4.6 Demo - Errors and Exceptions
    05:56
  - 4.7 Logging
    03:02
  - 4.8 Demo - Logging
    04:59
  - 4.9 Python Debugger(Pdb Module)
    03:44
  - 4.10 Demo - Python Debugger
    07:46
  - 4.11 Objects and Classes
    03:35
  - 4.12 Objects and functions
    04:12
  - 4.13 Demo - Object Oriented Programming
    10:35
  - 4.14 Key Takeaway
    00:23
- Lesson 05: Shell Scripting and Django
  36:17Preview
  - 5.1 Learning Objective
    00:24
  - 5.2 Shell Scripting
    04:21
  - 5.3 Sys, OS and Sub-Process module
    03:35
  - 5.4 Reading Writing Files and Working with Date-time Module
    04:42
  - 5.5 Demo - Shell Scripting in Python
    04:38
  - 5.6 Web Scrapping
    02:24
  - 5.7 Demo - Web Scrapping using Beautiful Soup
    06:22
  - 5.8 Django - Intro and Architecture
    03:59
  - 5.9 Demo - Django Installation
    05:31
  - 5.10 Key Takeaway
    00:21
- Lesson 06: Logging Infrastructure
  52:58Preview
  - 6.01 Learning Objectives
    00:28
  - 6.02 Introduction to Python Logging
    04:48
  - 6.03 Concepts of Python Logging
    05:25
  - 6.04 Changing the Format of Logs
    05:00
  - 6.05 Python Logger
    07:12
  - 6.06 Using Python Logging
    05:21
  - 6.07 Logging Handlers and Formatters
    03:52
  - 6.08 Logging Flow
    05:16
  - 6.09 Configuring Logging
    02:09
  - 6.10 Extending Logging
    01:20
  - 6.11 Buffering Logs
    00:29
  - 6.12 Logging Best Practices
    06:13
  - 6.13 Rotating Log Files
    02:23
  - 6.14 Logging to a File
    02:35
  - 6.15 Summary
    00:27
- Lesson 07: Unittest Infrastructure
  38:08Preview
  - 7.01 Learning Objective
    00:22
  - 7.02 Introduction to Unit Testing
    05:26
  - 7.03 Introduction to Unittest Framework
    02:16
  - 7.04 Concept of Unittest Framework
    02:51
  - 7.05 Command Line
    02:19
  - 7.06 Python Unittest
    07:51
  - 7.07 Using Python Unittest
    02:15
  - 7.08 Testing for Exceptions
    01:03
  - 7.09 Test Fixtures
    01:44
  - 7.10 Python Assertions
    03:29
  - 7.11 Classes and Functions
    06:13
  - 7.12 Pros and Cons
    00:42
  - 7.13 Mock object library
    01:15
  - 7.14 Summary
    00:22
- Lesson 08: Networking Concepts
  45:47Preview
  - 8.01 Learning Objective
    00:31
  - 8.02 Introduction to Python Networking
    04:02
  - 8.03 Sockets
    02:37
  - 8.04 Socket Programming
    06:05
  - 8.05 Working with Python Networking
    05:39
  - 8.06 Data Models
    00:58
  - 8.07 Building Client-Server Communication
    06:05
  - 8.08 Socket Types
    02:35
  - 8.09 TCP Sockets
    04:10
  - 8.10 The Tornado Frameworrk
    01:39
  - 8.11 Building a Python Chat Server
    10:59
  - 8.12 Summary
    00:27

Programme Syllabus

Python Reallife Projects

Project 1
Python Decorators
Implement a Python decorator that should take whatever the decorated function returns, and writes it to a file in a new line.
Project 2
Manage the Password
Develop a new version of a password manager that can keep track of all the passwords that have been set for the respective accounts.
Project 3
Patient Management Application
Write an application in Django for a hospital receptionist that has features, including checking if the patient is already registered. If not register the patient.

prevNext

Python Exam & Certification

What should I do to have my Simplilearn Python training in Austin certification unlocked?
To obtain the certificate after the Python training in Austin, you must complete one entire batch of this program or complete 85 per cent of the online self-learning course, along with successful project evaluation. The Python course in Austin was meant as a beginner's introduction to Python, allowing novices to learn the fundamental concepts, ideas, and applications of Python.
What system requirements are there to take the Python certification in Austin?
The system requirements to take up the Python certification exam after Python training in Austin are the computer with a Webcam, chrome browser, microphone, speaker, headsets and internet access that is reliable. On getting an 85% score in the assessment of the Python course in Austin, you will receive the certification from SimpliLearn.

Python Course Reviews

Cynthia Joseph
Senior I & IT Architect, Fairfield
Staying updated with evolving IT technologies motivates me to upskill. The Python Training course was a game-changer, blending theory and practice, and strengthening my ability to tackle complex projects. It’s been a valuable addition to my toolkit, enhancing my contributions to my organization’s goals.
Charlotte Martinez
New York City
This is a good course for beginners as well as experts with all the basic concepts explained clearly. It's a good starter to move to python programming for programmers as well as non- programmers
Avery Anderson
New York City
It was very well constructed, concise and to the point course. Great courseware
Sofia Taylor
New York City
This is one of the best courses I've taken on Simpliearn. The courseware is very well organized with a clearly thought-out learning progression. Simplilearn's Python course experience was great overall.
Dinesh Singh Kunwar
Dy. Manager (IT Applications) at Mahindra Comviva, Gurgaon
Simplilearn's Python Certification Training was great overall, The curriculum was Nice and compact!
Peter Seboyeng
Cape Town
After I completed the python course, there was a 20% increase in the number of freelance projects, I got. Also, my earnings increased by 30%.

prevNext

Why Join this Program

Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Python Certification FAQs

Who delivers the Python Training in Austin?
Simplilearn’s Python Course in Austin 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.
Who Should take this Python Certification Course in Austin?
This Python certification course in Austin is ideal for professionals willing to become software developers or preparing for any data-related role like data scientist, data analyst, or AI engineer.
What is the salary of a Software Developer in Austin?
The salary of a software Developer in Austin is $1,01,406 per year. Candidates with python training courses in Austin are highly preferred by the companies for the jobs.
What are the major companies hiring for Software development in Austin?
The major companies are Anaplan, General Motors (GM), Google, Dell, and IBM for the software developer jobs. The python training course in Austin helps the candidates to develop the required skills.
What are the major industries in Austin?
The major industries are in Austin are 3M, Buffalo Technology, Apple, Bigcommerce, AMD, eBay, Dropbox, Cisco Systems, Apartment Ratings, Cirrus Logic, Applied Materials, BioWare, Blizzard Entertainment, Arm Holdings, Flextronics, and Nvidia.
How to become a Software Developer in Austin?
To become a software developer, having a certification on a Software Developer course in Austin is necessary. In addition to this, having a basic degree in computer science and information technology is mandatory.
How to Find a Software Developer in Austin?
The Python Training Course from Simplilearn will teach you the fundamentals of Python, shell scripting, conditional expressions, data operations, and Django. The course will provide you with experience of practical programming and prepare you for a rewarding career as a professional Python programmer.

Python Training in Austin

Austin has a population of 1,011,790 people. It is Texas' fourth-largest metropolis and the United States' tenth-largest city. Austin is the capital of the United States' state of Texas. Austin's GDP grew by 3.1 percent in 2019, making it the nation's 12th fastest growing large metropolitan area.

Austin's elevation varies from 425 feet to 1,000 feet . In the United States, the average is 6.0 percent. In the last year, the job market in Austin has risen by 3.5 percent.

In the United States, the average annual rainfall is 38 inches. On average, Austin receives 0 inches of snow each year. In the United States, the average quantity of snowfall is 28 inches per year. In the United States, there are an average of 205 sunny days every year.

The landmarks in Austin are The Visitors Center and the State Capitol, Zilker Metropolitan Park and Lady Bird Lake. The bats may be seen from the Congress Avenue Bridge. Austin is an interior city on the outskirts of the hill country. It's the coolest spot on the planet. It is located in Texas. Unique attractions and world-class museums can be found here.

Acknowledgement
PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.

Python Training in Austin

Aligned to

Aligned to

Python Course Overview

Python Certification Key Features

Skills Covered

Take the first step to your goals

Benefits

Training Options

Self Paced Learning

Corporate Training

Python Course Curriculum

Eligibility

Pre-requisites

Course Content

Section 01 - Self Paced Learning 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

1.11 Key Takeaways

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

2.17 Key Takeaway

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

3.10 Key Takeaway

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

4.14 Key Takeaway

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