The AVTE School The most trusted Python training institute located in Australia, India, USA, UK and Canada offers job-focused instruction to students, making their skills proficient in Python programming abilities. The school is renowned for offering the most effective Python training at Australia, India, USA, UK and Canada with 100 percent help with placement. The Python content of AVTE SCHOOL is based on industry’s recommendations and regularly revised to stay current with the ever-changing technological developments. It is among the top Python training institutes located in Australia, India, USA, UK and Canada which offers a both a basic and a more advanced Python classesThe Python trainers at AVTE SCHOOL are experts in the field with over 8 years of experience managing real-time Python-based projects.

It is widely used for general programming language, Python is a high-level programming language that is able to efficiently integrates with systems. It can be used on nearly all operating systems, including: Windows, Mac OS and Linux/Unix, etc. Python is also portable onto .NET as well as Java virtual machine. Since Python is an open-source programming language, it is able to be used for commercial use. Python Programmers can code specific functions in less lines of code using Python in comparison to different programming languages. Furthermore, Python enhances the readability of code, and facilitates making programming simple and compact for both large and small-scale programs.

Python actively supports various programming styles, including functional or procedural, object-oriented and imperative designs. It has an automated memory management and a dynamic system. The extensive and vast library of Python allows programmers to create any type of program with ease. It is used extensively as a scripting program and is also used in non-scripting programming programs, too.

What is the reason for Python?

Python is a very popular language in the present. Therefore, in order to be successful in this competitive world it is essential to stay up-to-date with new languages that assist in high-level programming. It is easy for experts to master Python. In addition, beginners can learn Python quickly because it’s:

  • Easy to master
  • Code is easy to write and to read
  • Modular code is simple to comprehend.

The starting salary for an Python developer is about 70k to 70k plus. It has been one of the fastest growing skills in the last 3 months. So, it is advisable to take the time to learn Python at a reputable institute with instructors who have hands-on knowledge of the subject. The instructors at AVTTE SCHOOL PVT LTD place more emphasis on the specific requirements of the student.

AVTE SCHOOL Australia, India, USA, UK and Canada is one of the most reputable online Python training centers located in Australia, India, USA, UK and Canada that offers 100% placement assistance. AVTE SCHOOL has well defined courses and instruction sessions for students. At AVTE SCHOOL, Python training is offered during daytime classes, weekends classes, in evening batch classes, as well as speed-track training classes.

Career Scope After Python Course within Australia, India, USA, UK and Canada in the AVTE SCHOOL:

Python is the most popular programming language that provides the best opportunities for techno-savvy. The opportunities for career advancement in Python have seen steady growth around the globe. The language is commonly referred to as a high-level programming language Python encourages speed and brevity. code readability, which enables programmers to create better designs by using fewer code lines. Businesses in India and overseas are constantly searching for qualified, educated and experienced individuals to cope with the ever-changing requirements of technology of their clients. The ability to master a new programming languages in addition to Python is always an advantage since it gives one a an edge in competition.

After you have mastered the skills required for professional work and acquire a solid background with Python Programming, some of the possible job descriptions that are offered to you include:

  • Software Engineer
  • Django Back-End Developer
  • Data Engineer
  • Django also known as Python Developer
  • Application Reliability Engineer
  • Full-Stack Developer


Course Content and Syllabus for Python Testing Training

Python Course Content Module I:

Python Introduction


Open Source Tools

  • Anaconda
  • Spyder
  • Jupyter Notebook
  • Create and Share Jupyter Notebook

Python Basics

  • Expressions and Variables
  • String Operations
  • Indexing
  • Slicing

Python Data Structure

  • a. List and Tuples
    • i. Nested or Multi-Dimensional List
    • ii. List Comprehension
  • b. Dictionaries
  • c. Sets

Python Programming Fundamentals

  • a. Conditions and Branching
  • b. Loops
  • c. User Define Functions
  • d. Computing Sum, Max, Min, Mean of a list
  • e. Special Variables in Python
    • i. Understanding _ , __ , and __xyz__ in Python
    • ii. __init__
    • iii. __name__
    • v. __self__ etc.
  • f. Code Reusability
  • i. Creating and Importing Modules

Functional Programming in Python

  • a. Map, Zip, Reduce, Filter, and Lambda Functions in Python
  • b. Working with Standard Python Modules
    • i. Itertools
    • ii. Functools
    • iii. Operator

Object Oriented Programming

  • a. Objects and Classes
  • b. Regular, Static, Special, and Class Methods
  • c. Inheritance, Polymorphism, and Abstraction in Python

Working with Data Storage System in Python

  • a. Reading and Writing Text Files
  • b. Reading and Writing CSV Files
  • c. Working with SQL Database in Python
    • i. Connecting with SQL Database
    • ii. Creating Table
    • iii. Reading, Writing, and Updating Tables

Working with Directory and File Management

  • a. Working with os, sys and shutil Module
  • b. Creating, Renaming, and Listing All Directories
  • c. Manage Large Files

Working with Date and Time in Python

  • a. Fundamentals of datetime module
  • b. Working with Date and Time
  • c. Calculating difference between two dates/times
  • d. Converting timestamp into date and time

Module II:

This advanced course in Python will give you all the tools you need to get started for APIs development. In this course first, you will learn the basic purpose of APIs, and where it applies to solve real-world problems. Second, you will learn how to create your own custom APIs on deploy your APIs as a web service in production on Linode, Amazon AWS, Microsoft Azure, Google Cloud etc.

Use Python as a Developer

  • a. Working with command line (command windows and Linux terminal)
    • i. Fundamentals and advantage of working with command line
    • ii. Basics of command line functions
  • b. Installing and integrating python with command line
  • c. Creating and running python program from command line
  • d. Working with virtual environment

Command Line Arguments in Python

  • a. Fundamentals of argparse and argv module
  • b. Add and execute command line arguments

Requests Module in Python

  • a. Introduction to APIs (Application Programming Interfaces) or Web Services
  • b. Why are APIs important
  • c. Key APIs concepts
    • i. Representation State Transfer (REST)
    • ii. Webhooks
    • iii. JavaScript Object Notation (JSON)
  • d. Fundamentals of RESTful APIs
  • e. Fundamentals of requests module
  • f. Sending APIs requests using POSTMAN
  • g. Sending HTTP requests from python
  • h. Receiving and parsing data
  • i. Working with APIs using Python
  • j. Integrating existing web APIs into application
    • i. Air Quality Index (AQI) API
    • ii. Temperature and Humidity API
    • iii. Google/Microsoft/Amazon APIs
    • iv. and many more
  • k. JSON (Java Script Object Notation) format in Python

Building RESTful APIs using Flask

  • a. Installing Flask
  • b. Creating a basic Flask application
  • c. Running the application
  • d. Introduction to templating engine in Flask
    • i. Introduction of HTML,CSS, and Java Script
    • ii. Introduction to Jinja2
  • e. Creating a basic template based Flask application
  • f. Running the application
  • g. Setting up the database
  • h. Understanding requests and responses
  • i. Creating and running RESTful APIs

Deploying APIs on Cloud (Linode, AWS, and Microsoft Azure etc.)

  • a. Introduction to cloud computing
  • b. Getting started with Linode/AWS/Microsoft Azure
  • c. Fundaments of client and server
  • d. Cloud system configuration
  • e. Installing and configuring MySQL
  • f. Installing and configuring Object Storage/S3
  • g. Deploying APIs

Module III

In this course you will learn how to analyse data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform statistical analysis, create meaningful data visualizations, and many more!

Python for Data Analysis [Numpy, Pandas]

Why Python for Data Analysis

Essential Python Libraries

  • a. NumPy
  • b. Pandas
  • c. Matplotlib
  • d. Seaborn
  • e. Bokeh
  • f. Plotly

Numpy Basics: Arrays and Vectorized Computation

  • a. Creating ndarrays
  • b. Data types of ndarrays
  • c. Operations between arrays and scalars
  • d. Basic indexing
  • e. Boolean indexing
  • f. Data processing using arrays
  • g. File input and output with arrays
  • h. Linear algebra

Data Processing with Pandas

  • a. Introduction to pandas data structures
  • b. Essential functionality
  • c. Summarizing and computing descriptive statistics
  • d. Exploratory data analysis
    • i. Calculating percentiles
    • ii. Quartile and box plots
    • iii. Using IQR (Inter Quartile Range) for outliers detection
    • iv. Skewness and Kurtosis for univariate analysis
    • v. Correlation for bivariate analysis
  • e. Handling missing data
  • f. Data loading, storage and file formats
  • g. Data wrangling: Clear, Transform, Merge, Reshape

Python for Data Visualization (Matplotlib, Seaborn, Plotly)

The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Plotly.

Data Visualization

  • a. Introduction to data visualization
  • b. Visualization using matplotlib
  • c. Statistical data visualization using seaborn

Web Based Visualizations using Plotly

  • a. Why another visualization library?
  • b. When to use plotly
  • c. Advantage of plotly
  • d. Basic Fundamentals of HTML, CSS, and Java Script
  • e. How to incorporate custom design with plotly visualization

Education Programs

These are just a few examples. There are many other possibilities that Python experts can take advantage of in the event that they have experience with other programming tools, languages, and software. You can choose to take Python instruction at Australia, India, USA, UK and Canada with AVTE SCHOOL. It is the most reputable Python training institution located in Australia, India, USA, UK and Canada which offers Python training that is followed by practical working in real-time Python project under the supervision of industry experts who serve as instructors. AVTE SCHOOL offers complete Python training in Australia, India, USA, UK and Canada starting from the basic level to advanced levels.

Activities Involved

  • Regular Track