Python
Python is one of the easiest programming languages to learn for a beginner, but it is also one of the most difficult to master. Anyone can learn Python if they put in the effort, but becoming a Python developer requires a lot of patience and perseverance.
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About Python
Compiler code takes a back seat to research. Python is an inscribed and compiled language, whereas Java is statically typed and parsed. Because of this one difference, Java is faster in real-time and easier to troubleshoot, yet Python is easier to use and comprehend. Python is an open programming language with an interpreted programming language that is widely used, interpretative, object-oriented, and elevated computer language. Guido van Rossum initially introduced it on February 20, 1991.
1. Python is a very easy-to-understand programming language.
2. Python is a simple to learn programming language since it is expressive and high-level, making it easy to grasp and learn.
3. Python is available on a variety of operating systems, including Mac, Windows, Linux, and Unix, and can run on them all. As a result, it is portable and cross-platform.
4. Python is a programming language that is both free and open-source.
5. Python includes a large standard library with a number of useful codes and functions that we can use when writing Python programmes.
6. Python course classes in Australia imply that it is completely free to download and use as a programming language.
This implies that once you've downloaded it, you're free to use it in your app. For further information, see the Open Source Python License. Python is a FLOSS (Free/Libre Open Source Software) programme, which means you can freely distribute, view, and modify it.
7. List comprehensions and generators that are supported. These traits will be examined in more detail later.
8. The Python programming language course in Australia has initiated automated memory management, which implies that memory is emptied and released automatically. The cache does not need to be removed.
Python classes in Australia has been carefully developed to help you learn Python Programming Language in the most effective way possible, with topics ranging from the basics to the advanced (such as web scraping, Django, Deep Learning, and so on) and examples.
The following are some interesting facts concerning the Python programming language:
Python is the most extensively used high-level programming language for a variety of purposes.
Python supports both Object-Oriented and Procedural programming paradigms.
Python course enlightens us on the fact that Python programmes are typically smaller than those written in other programming languages such as Java. Programmers have to type less, and the language's indentation requirement ensures that their code is always readable.
Almost every major tech company, including Google, Amazon, Facebook, Instagram, Dropbox, Uber, and others, uses the Python programming language.
Python's greatest strength is its large standard library, which may be used for the following:
GUI Applications for Machine Learning (like Kivy, Tkinter, PyQt etc. )
Django is a web framework (used by YouTube, Instagram, and Dropbox)
Processing of images (like OpenCV, Pillow)
Scraping the internet (like Scrapy, BeautifulSoup, Selenium)
Frameworks for testing
Scientific computing with multimedia
Text processing is just one example.
What does Python have to offer?
Python can be used to construct web applications on a server.
Python may be used to develop workflows in conjunction with other software.
Python has the ability to connect to database systems. It also has the ability to read and change files.
Python may be used to work with large amounts of data and execute complex calculations.
Python may be used for rapid prototyping as well as the creation of production-ready software.
What makes Python so special?
Python may be used on a variety of platforms (Windows, Mac, Linux, Raspberry Pi, etc).
Python has a basic grammar that is similar to that of English.
Python's syntax enables programmers to write programmes in fewer lines than other programming languages.
Python is an interpreter language, which means that code can be run as soon as it is written. As a result, prototyping can be done relatively quickly.
Python can be approached in three ways: procedural, object-oriented, and functional.
Online Classes
In Python, a range of high-quality training facilities provide a choice of online Python courses. One of these high-quality training facilities is the SevenMentor training institute in Australia. Our firm is involved in a wide range of technical courses, including networking and software development. Students can acquire the most up-to-date technical information and learn how to use it here. Students can use lab tests to help them study all of the courses in a practical way. Our instructors place a strong emphasis on the abilities that must be acquired. Trainers, who encourage students to achieve, multiply their abilities. For young graduates wishing to advance their professions, SevenMentor is the most highly recommended training institute.
Course Eligibility
- Freshers
- BE/ Bsc Candidate
- Any Engineers
- Any Graduate
- Any Post-Graduate
- Working Professionals
Syllabus of Python
- Session 1: Introduction to Python
- What are Python and the history of Python?
- Unique features of Python
- Python-2 and Python-3 differences
- Install Python and Environment Setup
- First Python Program
- Python Identifiers, Keywords, and Indentation
- Comments and document interlude in Python
- Command-line arguments
- Getting User Input
- Python Data Types
- What are the variables?
- Python Core objects and Functions
- Number and Maths
- Week 1 Assignments
- Session 2: Control Statements
- If-else
- If-elif-else
- while loop
- for loop
- Break
- Continue
- Assert
- Pass
- return
- Session 3: List, Ranges & Tuples in Python
- Introduction
- Lists in Python
- More about Lists
- Understanding Iterators
- Generators, Comprehensions and Lambda Expressions
- Introduction
- Generators and Yield
- Next and Ranges
- Understanding and using Ranges
- More About Ranges
- Ordered Sets with tuples
- Session 4: Python Dictionaries and Sets
- Introduction to the section
- Python Dictionaries
- More on Dictionaries
- Sets
- Python Sets Examples
- Session 5: Input and Output in Python
- Reading and writing text files
- Writing Text Files
- Appending to Files and Challenge
- Writing Binary Files Manually
- Using Pickle to Write Binary Files
- Session 6: Python built-in function
- Python user-defined functions
- Python packages functions
- Defining and calling Function
- The anonymous Functions
- Loops and statement in Python
- Python Modules & Packages
- Session 7: Python Object Oriented
- Overview of OOP
- The self variable
- Constructor
- Types Of Variables
- Namespaces
- Creating Classes and Objects
- Inheritance
- Types of Methods
- Instance Methods Static Methods Class Methods
- Accessing attributes
- Built-In Class Attributes
- Destroying Objects
- Abstract classes and Interfaces
- Abstract Methods and Abstract class
- Interface in Python
- Abstract classes and Interfaces
- Session 8: Exceptions
- Errors in Python
- Compile-Time Errors
- Runtime Errors
- Logical Errors
- What is Exception?
- Handling an exception
- Try …except…else
- try-finally clause
- The argument of an Exception
- Python Standard Exceptions
- Raising an exceptions
- User-Defined Exceptions
- Session 9: Python Regular Expressions
- What are regular expressions?
- The match Function
- The search Function
- Matching vs searching
- Search and Replace
- Extended Regular Expressions
- Wildcard
- Session 10: Python Multithreaded Programming
- What is multithreading?
- Difference between a Process and Thread
- Concurrent Programming and GIL
- Uses of Thread
- Starting a New Thread
- The Threading Module
- Thread Synchronization
- Locks
- Semaphore
- Deadlock of Threads
- Avoiding Deadlocks
- Daemon Threads
- Session 11: Using Databases in Python
- Python MySQL Database Access
- Install the MySQLdb and other Packages
- Create Database Connection
- CREATE, INSERT, READ Operation
- DML and DDL Operation with Database
- Graphical User Interface
- GUI in Python
- Button Widget
- Label Widget
- Text Widget
- Session 12: Django Web Framework in Python
- Introduction to MVC and MVT architecture on web development.
- Django folder structure flow of control.
- Session 13: Web scraping in python
- Session 14: Introduction to Data Science
Trainer Profile of Python
Our Trainers explains concepts in very basic and easy to understand language, so the students can learn in a very effective way. We provide students, complete freedom to explore the subject. We teach you concepts based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates can learn in our one to one coaching sessions and are free to ask any questions at any time.
- Certified Professionals with more than 8+ Years of Experience
- Trained more than 2000+ students in a year
- Strong Theoretical & Practical Knowledge in their domains
- Expert level Subject Knowledge and fully up-to-date on real-world industry applications
Python Exams & Certification
SevenMentor Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.
Our certification at SevenMentor is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.
Proficiency After Training
- Code in Python
- Create Python Program for Enterprise Application
- Web Application Development
- Game Development
- You can build more complex apps with minimal lines of code
- Can develop more secure web solutions with Python
- Python helps you in secure programming and fixes problems
- How to reduce the chances of cyber-attacks
- Will learn the calculation of most complex problems with ease
Key Features
Skill Level
Beginner, Intermediate, Advance
We are providing Training to the needs from Beginners level to Experts level.
Course Duration
90 Hours
Course will be 90 hrs to 110 hrs duration with real-time projects and covers both teaching and practical sessions.
Total Learners
2000+ Learners
We have already finished 100+ Batches with 100% course completion record.
Frequently Asked Questions
Batch Schedule
DATE | COURSE | TRAINING TYPE | BATCH | CITY | REGISTER |
---|---|---|---|---|---|
16/12/2024 |
Python |
Online | Regular Batch (Mon-Sat) | Australia | Book Now |
17/12/2024 |
Python |
Online | Regular Batch (Mon-Sat) | Australia | Book Now |
21/12/2024 |
Python |
Online | Weekend Batch (Sat-Sun) | Australia | Book Now |
21/12/2024 |
Python |
Online | Weekend Batch (Sat-Sun) | Australia | Book Now |
Students Reviews
In terms of comprehension, SevenMentor's Python Course training was a huge success.
- Rekha Tupe
It's a well-designed course that's really very easy to understand!
- Ujwala Naik
The course structure was amazing and well-designed!
- Irfan Khan
Course video & Images
Corporate Training
Professionals and employees have access to a variety of training facilities. If employees are required to study more technical topics by their companies, they will. Python training for employees in Python is a vital part of their employment. Professionals can improve their abilities by taking classes at a respected training facility. The SevenMentor training Institute educates both students and employees. Corporate Python training in Australia is planned according to manpower availability. Exams and tests assist the professional in becoming more interested in the subject and achieving better results. In Data Science, a corporate Python course in Australiais a large field with several subtopics.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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