Python Training in Austin

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Python Course Overview

Python training in Austin covers the principles of Python and the methods of applying them to real-world applications. The lesson-end projects, curriculum and assignments in the Python course in Austin covers conditional statements, strings, Python data operations, error handling, web scraping, shell scripting, and 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

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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
  • Annual Salary
    $68KMin
    $92KAverage
    $128KMax
    Source: Glassdoor
    Hiring Companies
    Microsoft hiring for Python Developer professionals in Austin
    Wells Fargo hiring for Python Developer professionals in Austin
    IBM hiring for Python Developer professionals in Austin
    Mindtree hiring for Python Developer professionals in Austin
    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.
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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.
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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

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.

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Python Exam & Certification

Python Certificate in Austin
  • 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

  • Charlotte Martinez

    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

  • Sofia Taylor

    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.

  • Avery Anderson

    Avery Anderson

    New York City

    It was very well constructed, concise and to the point course. Great courseware

  • Dinesh Singh Kunwar

    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

    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%.

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Why Online Bootcamp

  • 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.

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