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Python Training Online

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With the Python Certification Course online, participants can apply their knowledge and skills to real-world projects, solving problems and building applications that simulate industry scenarios. This hands-on approach reinforces learning and provides valuable experience, making graduates of the course highly desirable candidates in the job market.

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  • 40+ Hrs Hands On Learning
  • 3+ Live Best Industry Projects
  • 25+ Practical Assignments
  • 24/7 Student Helpdesk

Online Classroom Batches Preferred

20- May- 2024
Monday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

15- May- 2024
Wednesday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

18- May- 2024
Saturday (Saturday - Sunday)

Weekend Regular

11:00 AM (IST)

(Class 3hr - 3:30Hrs) / Per Session

18- May- 2024
Saturday (Saturday - Sunday)

Weekend Fasttrack

11:00 AM (IST)

(Class 4:30Hr - 5:00Hrs) / Per Session

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Python Course Overview And Insights

Our Python course with placement is a comprehensive gateway to mastering Python programming in online. It is tailored to accommodate individuals at all skill levels, whether they are novices taking their first steps into coding or seasoned programmers looking to expand their repertoire. Through a meticulously structured curriculum, participants embark on a journey through the fundamental concepts of Python syntax, data structures, control flow mechanisms, and the principles of object-oriented programming. The best way to learn the Python approach ensures that learners build a solid foundation of knowledge that serves as a springboard for their Python programming endeavors.

Additional Info

Exploring Advanced Python Concepts

  • Functional Programming: Functional programming is a programming paradigm that treats computation as the evaluation of mathematical functions. Python supports functional programming concepts such as first-class functions, higher-order functions, lambda expressions, and list comprehensions. Functional programming can lead to more concise, modular, and maintainable code.
  • Generators and Iterators: Generators are iterable, allowing you to generate values on the fly rather than store them in memory. Iterators are objects that allow you to traverse through all the elements of a collection. Understanding how to create custom iterators and generators can lead to more memory-efficient and scalable code.
  • Metaprogramming: Metaprogramming refers to writing code that manipulates code during runtime. In Python, this can be achieved using techniques like decorators, class decorators, metaclasses, and introspection. Metaprogramming is often used for tasks like code generation, aspect-oriented programming, and framework development.
  • Concurrency and Parallelism: Concurrency involves executing multiple tasks simultaneously, while parallelism involves executing multiple tasks simultaneously on multiple CPU cores. Python provides several libraries for concurrent and parallel programming, including threading, multiprocessing, asyncio, and concurrent. Futures.
  • Descriptors: Descriptors are a powerful mechanism for customizing attribute access in Python. They allow you to define how attribute access, assignment, and deletion are handled for a class. Descriptors are commonly used for implementing properties, validators, and custom access control.
  • Magic Methods (dunder methods): Magic methods are special methods in Python that are invoked implicitly in response to certain operations. For example, __init__ is called when an object is initialized, __str__ is called when an object is converted to a string, and __add__ is called when two objects are added together. Understanding and implementing magic methods can help you create more expressive and intuitive classes.
  • Type Annotations and Type Hints: Type annotations and type hints allow you to specify the expected types of variables, function parameters, and return values in Python code. While Python is dynamically typed, type annotations can be used for static type checking and documentation purposes. Type hints are supported natively in Python 3.6 and above, and tools like MyPy can be used for static type checking.
  • Asynchronous Programming: Asynchronous programming allows you to write non-blocking, concurrent code that can perform I/O-bound tasks efficiently. Python's asyncio module provides support for asynchronous programming using coroutines, event loops, and asynchronous I/O operations. Asynchronous programming is particularly useful for building highly scalable and responsive network applications.

Tools And Technologies Used In Python

  • Integrated Development Environments (IDEs): IDEs are all-in-one software tools for coding, offering features like code editing, debugging, and project management in a unified environment, enhancing developers' efficiency. Popular IDEs include Visual Studio Code, IntelliJ IDEA, and Eclipse, providing extensive customization and support for various programming languages.
  • Text Editors: Text editors are fundamental tools for writing and editing code, offering features tailored to developers' needs. With functionalities like syntax highlighting, code completion, and customization options, text editors enhance productivity and readability while coding. Popular text editors such as Visual Studio Code, Sublime Text, and Atom provide intuitive interfaces and extensibility through plugins, catering to diverse programming preferences and workflows.
  • Package Managers: Package managers are essential tools for managing software dependencies in development projects. They automate installing, updating, and removing packages, streamlining the setup and maintenance of project environments. Widely used package managers like npm for Node.js, pip for Python, and apt for Linux simplify the integration of external libraries and modules, facilitating efficient development workflows.
  • Version Control Systems: Version control systems are essential tools for managing and tracking changes to code and files in software development projects. They enable collaboration among team members by providing a centralized repository where changes can be recorded, tracked, and reverted if necessary. Popular version control systems like Git offer branching, merging, and tagging features, enhancing code management and ensuring project integrity throughout its lifecycle.
  • Web Development Frameworks: Web development frameworks are essential tools that streamline the process of building websites and web applications. They provide developers with pre-built components and libraries to expedite development, reducing the need for repetitive coding tasks. Popular frameworks like Django, Ruby on Rails, React.js, and Vue.js offer robust features and conventions, enabling developers to create scalable, efficient, and maintainable web solutions quickly.
  • Data Analysis and Visualization: Data analysis and visualization are crucial processes in extracting meaningful insights from data. Analysts can uncover trends, patterns, and relationships within datasets through statistical methods and visual representations, aiding decision-making and problem-solving. Utilizing tools like Python's pandas and matplotlib libraries or R's ggplot2, analysts can efficiently process and present data clearly and understandably, facilitating informed business strategies and actionable insights.

Python Roles & Responsibilities: A Comprehensive Guide

  • Software Developer/Engineer: Design, develop, and maintain Python-based software applications. Ensure clean, efficient, and maintainable code adhering to coding standards. Collaborate with teams to gather requirements, define project scope, and deliver high-quality solutions. Test and debug code for functionality, reliability, and performance. Integrate third-party libraries, APIs, and services—document code and processes for knowledge sharing and maintainability.
  • Web Developer: Web Developers design, build, and maintain websites and web applications using a variety of programming languages and frameworks. They focus on both frontend and backend development, ensuring websites are visually appealing, user-friendly, and responsive. Collaborating with designers and other developers, they strive to create high-quality web solutions that meet client needs and industry standards.
  • Data Scientist/Analyst: Data Scientists/Analysts analyze large datasets to extract valuable insights and trends, employing statistical and machine learning techniques. They utilize programming languages like Python or R and tools like SQL and Tableau for data manipulation and visualization. With expertise in data mining and predictive modelling, they help businesses make data-driven decisions to optimize processes and achieve strategic goals.
  • Machine Learning Engineer: Machine Learning Engineers develop and deploy machine learning models using Python and frameworks like TensorFlow or PyTorch. They preprocess data, train models, and optimize algorithms for accuracy and efficiency. Collaborating with data scientists and software engineers, they integrate machine learning solutions into production systems for real-world applications.
  • DevOps Engineer: DevOps Engineers streamline software development and deployment processes by automating infrastructure provisioning and configuration. They utilize tools like Docker, Kubernetes, and Jenkins to ensure continuous integration and delivery (CI/CD). Collaborating with development and operations teams, they improve system reliability, scalability, and efficiency through automation and infrastructure as code (IaC) practices.

Hiring Companies for Python Developers

  • Google: As one of the leading tech giants, Google heavily relies on Python for various projects, including web development, data analysis, machine learning, and more. Python is one of the primary languages used within Google, and they often seek talented Python developers for roles across different teams and projects.
  • Facebook: Similar to Google, Facebook utilizes Python extensively for backend services, data analysis, machine learning, and automation tasks. Python's simplicity and versatility make it a preferred choice for many of Facebook's development needs.
  • Amazon: Amazon, being a major player in e-commerce, cloud computing, and artificial intelligence, regularly hires Python developers for positions related to web development, data engineering, cloud services (AWS), and more. Python's compatibility with AWS services and its strong ecosystem make it indispensable at Amazon.
  • Microsoft: Python is increasingly becoming important at Microsoft due to its versatility and integration capabilities with various Microsoft products and services. Python developers at Microsoft work on a wide range of projects including web development, Azure cloud services, data science, and machine learning.
  • Netflix: Python is extensively used at Netflix for backend services, data analysis, recommendation algorithms, and infrastructure automation. Python's simplicity and the availability of powerful libraries like Pandas and NumPy make it ideal for handling large volumes of data at Netflix.
  • Uber: Python plays a significant role in Uber in areas such as backend development, data analysis, and building tools for optimization and automation. Python's ease of use and robustness make it well-suited for handling the complexities of Uber's technology stack.
  • Slack: Slack relies on Python for backend services, infrastructure automation, and building integrations with third-party services. Python's readability and extensive libraries allow Slack to develop and iterate on new features to enhance its communication platform rapidly.
  • Dropbox: Python is a core language at Dropbox, used for backend services, automation, and developing internal tools. Python's simplicity and extensive standard library contribute to Dropbox's ability to maintain and scale its infrastructure efficiently.
  • Reddit: Python is the primary language behind Reddit's backend infrastructure, powering features like content serving, recommendation systems, and community moderation tools. Python's flexibility and ease of use align well with Reddit's goals of fostering online communities.
  • NASA: Python is widely used by NASA for various tasks, including scientific computing, data analysis, simulation, and automation. Python's simplicity and extensive libraries make it a preferred choice for handling the complex computational requirements of space exploration missions at NASA.
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Top Skills You Will Gain
  • Programming Fundamentals
  • Data Structures
  • File Handling
  • Functions and Modules
  • Exception Handling
  • Libraries and Packages
  • Object-Oriented Programming (OOP)
  • Testing and Debugging

Python Learning Key Benefits 100% Money Back Guarantee

  • 5 Weeks Training

    For Become a Expert
  • Certificate of Training

    From Industry Python Certification Experts
  • Beginner Friendly

    No Prior Knowledge Required
  • Build 3+ Projects

    For Hands-on Practices
  • Lifetime Access

    To Self-placed Learning
  • Placement Assistance

    To Build Your Career

Top Placement Assistance

Python online training offers comprehensive instruction in one of the most versatile and widely used programming languages today. Mastering Python through online training opens doors to lucrative career opportunities in various industries. As a result, professionals with Python skills are highly sought after, with a plethora of job opportunities available to them.

  • Designation
  • Annual Salary
    Hiring Companies
  • 3L
    Min
  • 6L
    Average
  • 15L
    Max
  • 6L
    Min
  • 10L
    Average
  • 25L
    Max
  • 4L
    Min
  • 6L
    Average
  • 15L
    Max
  • 6L
    Min
  • 10L
    Average
  • 25L
    Max

Training Options

One to One Training

₹23000₹ 18000

  • Exclusive one-on-one sessions for personalized skill development.
  • Latest version curriculum is provided by industrial professionals.
  • Get industry-recognized certification with placement assistance.
  • Lifetime Access to Study Materials, Videos & Top MNC Interview Question.
  • Work on multiple Industry-specific projects to enhance your portfolio.

Online Training

₹21000₹ 16000

  • preferred
  • Schedule your sessions at your preferred timings for maximum convenience.
  • Lifetime access to high-quality self-learning and live online class recordings.
  • Attend a Free Demo before signing up.

Next Demo Sessions

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Corporate Training

Customized to your team's needs

  • Self-Paced/Live Online/Classroom modes of training available.
  • Design your own course content based on your project requirements.
  • Comprehensive certification guidance for your career advancement.
  • Get 100% Job-oriented Training With Dedicated Placement Support.
  • Receive 24x7 assistance and support to maximize your learning experience.

Self Paced Training

  • 50+ Hours High-quality Video
  • 28+ Downloadable Resource
  • Lifetime Access and 24x7 Support
  • Access on Your Computer or Mobile
  • Get Certificate on Course Completion
  • 3+ Projects
12500 ₹4500

Python Course Curriculum

Trainers Profile

Python trainers typically have a strong background in computer science or software engineering, along with extensive experience in Python programming. They are proficient in Python syntax, libraries, and frameworks, and also possess practical knowledge of applying Python in real-world projects.

Syllabus of Python Certification Online Course Download syllabus

  • Introduction to Python Language
  • Features and the advantages of Python
  • Python installation
  • Deploying Python IDE
  • Python Basics
  • Built-in data types
  • Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
  • Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
  • Loop and control statements while, for, if, break, else, continue.
  • How to write OOP concepts program in Python
  • Connecting to a database
  • Classes and objects in Python
  • OOPs paradigm, important concepts in OOP
  • Lambda expressions
  • Understanding the database, need for database
  • Installing MySQL on Windows
  • Understanding database connections using Python
  • Introduction to arrays and matrices
  • Broadcasting of array math, indexing of array
  • Standard deviation, conditional probability, correlation and covariance.
  • Introduction to SciPy
  • Functions building on top of NumPy
  • Functions building on top of Cluster
  • Functions building on top of Linalg
  • Functions building on top of Signal
  • Functions building on top of Optimize
  • Functions building on top of Integrate
  • Functions building on top of Subpackages
  • Functions building on top of Scipy with Bayes' Theorem
  • How to plot graphs and charts with Python?
  • Various aspects of line
  • Various aspects of Scatter
  • Various aspects of Bar
  • Various aspects of Histogram
  • Various aspects of 3D
  • Various aspects of The API of Matplotlib
  • Various aspects of Subplots
  • Introduction to Python dataframes
  • Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
  • Various data operations like selecting, filtering, sorting, viewing, joining, combining
  • Introduction to Exception Handling
  • Scenarios in Exception Handling with its execution
  • Arithmetic exception
  • RAISE of Exception
  • What is Random List, running a Random list on Jupyter Notebook
  • Value Error in Exception Handling.
  • Introduction to Thread, the need of threads
  • What are thread functions?
  • Performing various operations on thread
  • Creating a Multithread, finishing the multithreads.
  • Understanding race condition, lock, and synchronization
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Industry Projects

Project 1
Sales Forecasting System

Using Python to analyze historical sales data and predict future sales trends for a company.

Project 2
Inventory Management System

Developing a Python-based system to track inventory levels, automate reordering, and optimize stock levels.

Project 3
Customer Sentiment Analysis

Analyzing online reviews and social media feedback for sentiment using Python's NLP capabilities.

Mock Interviews

  • Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
  • Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!

How Learnovita Mock Interview Works?

Python Training Objectives

The primary objectives of a Python course are to introduce participants to the Python programming language, teach them fundamental programming concepts and techniques, and equip them with the skills necessary to develop Python applications for various purposes.
Python is famous for beginners due to its simple and easy-to-read syntax, extensive documentation, and vast community support. It allows beginners to focus on problem-solving and algorithmic thinking rather than dealing with complex language syntax.
Some key topics covered in a typical Python course include
  • Basic syntax and data types
  • Control flow structures (such as loops and conditionals)
  • Functions
  • Data structures (like lists, dictionaries, and tuples)
  • File handling
  • Introduction to object-oriented programming
A Python course aims to improve problem-solving skills by teaching participants how to break down complex problems into smaller, manageable tasks and then use Python programming constructs to implement solutions step by step.
Hands-on coding is essential in a Python course as it allows participants to apply theoretical concepts in practical scenarios, reinforces learning, and helps develop programming proficiency through practice.
A Python course addresses real-world application development by guiding participants
  • Python Programming Techniques
  • Web Application
  • Data Analysis Tools
  • Automation Scripts
Before enrolling in a Python course, you can assess its quality by considering factors such as instructor credentials and reviews, course syllabus and learning objectives, availability of hands-on projects and assignments, interactive elements such as quizzes or forums, the relevance of the content to your learning goals, and whether the course offers a free trial or sample lessons for evaluation.
A Python course prepares participants to collaborate on projects in a team environment by
  • Introducing version control systems (such as Git)
  • Teaching best practices for code organization
  • Documentation
  • Fostering collaborative coding practices
Participants in a Python course are typically provided with
  • Lecture Materials
  • Coding Exercises
  • Project Assignments
  • Access to Development Environments or IDE's
  • Resources(Such as Documentation and Tutorials)
A Python course supports lifelong learning and skill development beyond the classroom by providing participants with a solid foundation in programming principles and encouraging them to explore advanced topics, experiment with new projects, contribute to open-source initiatives, and continue learning through online resources and communities.
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Python Exam & Certification

A Python certification validates your proficiency and expertise in the language, providing formal recognition of your skills to employers and peers. It enhances your credibility in the industry and increases opportunities for career advancement or job prospects.
Preparation for a Python certification involves:
  • A combination of studying relevant Python programming concepts
  • Practicing coding exercises
  • Take mock exams to assess your understanding
  • Certified Python Developer (CPD)
  • Python Institute Certified Associate in Python Programming (PCAP)
  • Certified Professional in Python Programming (CPPP)
  • PCPP (Certified Professional in Python Programming)
  • Google IT Automation with Python Professional Certificate
Earning a Python certification can significantly enhance career prospects by demonstrating your proficiency in the language to potential employers. It can lead to job opportunities with higher salaries, promotions, or the ability to take on more challenging roles in areas such as software development, data analysis, machine learning, and web development.
Prerequisites for Python certifications vary depending on the specific certification program. However, most certifications require a basic understanding of programming concepts and familiarity with Python syntax. Some advanced certifications may have additional requirements, such as previous experience or knowledge in specific domains like data science or web development.

Recently Placed Students

Python Course FAQ's

Certainly, you are welcome to join the demo session. However, due to our commitment to maintaining high-quality standards, we limit the number of participants in live sessions. Therefore, participation in a live class without enrollment is not feasible. If you're unable to attend, you can review our pre-recorded session featuring the same trainer. This will provide you with a comprehensive understanding of our class structure, instructor quality, and level of interaction.
All of our instructors are employed professionals in the industry who work for prestigious companies and have a minimum of 9 to 12 years of significant IT field experience. A great learning experience is provided by all of these knowledgeable people at LearnoVita.
  • LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
  • Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
  • Our Placement Cell aids students in securing interviews with major companies such as Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree, and MPhasis, among others.
  • LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
  • We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
  • Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
LearnoVita Certification is awarded upon course completion and is recognized by all of the world's leading global corporations. The National Institute of Education (NIE) in Singapore and LearnoVita are the exclusive authorized Oracle, Microsoft, Pearson Vue, and PSI exam centers, as well as an authorized partner of AWS. Additionally, those who want to pass the National Authorized Certificate in a specialized IT domain can get assistance from LearnoVita's technical experts.
As part of the training program, LearnoVita provides you with the most recent, pertinent, and valuable real-world projects. Every program includes several projects that rigorously assess your knowledge, abilities, and real-world experience to ensure you are fully prepared for the workforce. Your abilities will be equivalent to six months of demanding industry experience once the tasks are completed.
At LearnoVita, participants can choose from instructor-led online training, self-paced training, classroom sessions, one-to-one training, fast-track programs, customized training, and online training options. Each mode is designed to provide flexibility and convenience to learners, allowing them to select the format that best suits their needs. With a range of training options available, participants can select the mode that aligns with their learning style, schedule, and career goals to excel in Python.
LearnoVita guarantees that you won't miss any topics or modules. You have three options to catch up: we'll reschedule classes to suit your schedule within the course duration, provide access to online class presentations and recordings, or allow you to attend the missed session in another live batch.
Please don't hesitate to reach out to us at contact@learnovita.com if you have any questions or need further clarification.
To enroll in the Python Course at LearnoVita, you can conveniently register through our website or visit any of our branches in India for direct assistance.
Yes, after you've enrolled, you will have lifetime access to the student portal's study materials, videos, and top MNC interview questions.
At LearnoVita, we prioritize individual attention for students, ensuring they can clarify doubts on complex topics and gain a richer understanding through interactions with instructors and peers. To facilitate this, we limit the size of each Python batch to 5 or 6 members.
The average annual salary for Python Professionals in India is 5 LPA to 8 LPA.
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