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  • Provided by a certified Python expert with over ten years of experience.
  • Over 320+ clients who are employers and over 11402+ students who have received training.
  • Top Methods for Developing Trending Ideas at Low Cost.
  • Learn the Best Practices for Beginner to Advanced Level Courses.
  • Gain access to cutting-edge research resources and popular projects.

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Curriculum in Python

Introduction to Python
  • Need for programming
  • Advantages of programming
  • Overview of python
  • Organizations using python
  • Python Applications in various domains
  • Variables
  • Operands and expressions
  • Conditional statements
  • Loops
  • Structural pattern matching
  • Sequences and File Operations
  • Types of testing (functional, non-functional, etc.)
  • Testing levels (unit, integration, system, acceptance)
  • Testing strategies (black box, white box, grey box)
  • Functions and Object-oriented Programming
  • Test planning process
  • Test plan creation
  • Test case design
  • Traceability matrix
  • Working with Modules and Handling Exceptions
  • Manual testing process
  • Test execution and reporting
  • Defect reporting and tracking
  • Exploratory testing
  • Array Manipulation using NumPy
  • Introduction to test automation
  • Test automation tools and frameworks
  • Test script development
  • Test data and test environment setup
  • Data Manipulation using Pandas
  • Overview of popular testing tools (e.g., Selenium, JUnit, TestNG)
  • Continuous integration and continuous testing
  • API testing and tools
  • Data Visualization using Matplotlib and Seaborn
  • Introduction to performance testing
  • Load testing, stress testing, and scalability testing
  • Performance testing tools (e.g., JMeter, LoadRunner)
  • GUI Programming
  • Introduction to security testing
  • Common security vulnerabilities
  • Security testing tools (e.g., OWASP ZAP)
  • Curriculum in Python

    Python is preferred by more than 45% of developers. The most widely used and in-demand programming language in the tech industry is Python.

    • Need for programming
    • Advantages of programming
    • Overview of python
    • Organizations using python
    • Python Applications in various domains
    • Variables
    • Operands and expressions
    • Conditional statements
    • Loops
    • Structural pattern matching
    • Accepting user input and eval function
    • Files input/output functions
    • Lists
    • Tuples
    • Strings manipulation
    • Sets and set operations
    • Python dictionary
    • User-defined functions
    • Function parameters
    • Different types of arguments
    • Global variables
    • Global keyword
    • Lambda functions
    • Built-in functions
    • Object-oriented concepts
    • Public, protected and private attributes
    • Class variable and instance variable
    • Constructor and destructor
    • Inheritance and its types
    • Method resolution order
    • Overloading and overriding
    • Getter and setter
    • Standard libraries
    • Packages and import statements
    • Reload function
    • Creating a module
    • Important modules in python
    • Sys module
    • OS module
    • Math module
    • Date-time module
    • Random module
    • JSON module
    • Regular expression
    • Exception ha
    • Basics of data analysis
    • NumPy - Arrays
    • Array operations
    • Indexing, slicing, and Iterating
    • NumPy array attributes
    • Matrix product
    • NumPy functions
    • Array manipulation
    • File handling using NumPy
    • Introduction to Pandas
    • Data structures in Pandas
    • Series
    • Data Frames
    • Importing and exporting files in Python
    • Basic functionalities of a data object
    • Merging of data objects
    • Pivoting a dataframe
    • Concatenation of data objects
    • Types of joins on data objects
    • Exploring datasets
    • Why data visualization?
    • Matplotlib library
    • Seaborn
    • Line plots
    • Multiline plots
    • Bar plot
    • Histogram
    • Pie chart
    • Scatter plot
    • Boxplot
    • Saving charts
    • Customizing visualizations
    • Saving plots
    • Grids
    • Subplots
    • Heatmaps
    • Ipywidgets package
    • Numeric widgets
    • Boolean widgets
    • Selection widgets
    • String widgets
    • Date picker
    • Color picker
    • Container widgets
    • Creating a GUI application

    Python Training Projects

    Gain Practical and Engaging Experience with Python Projects.


    To-Do List Application

    To-Do List program: Make a straightforward command-line program that allows users to list, add, and remove items.



    Build a simple calculator that is capable of carrying out addition, subtraction, multiplication, and division among other mathematical operations.


    Guess the Number Game

    Create a game called predict the Number in which the player must correctly predict a given number of times after the computer chooses a number at random.


    Weather App

    Create an application called Weather App that uses an API to retrieve weather information specific to a user's location and presents it in an easy-to-use UI.


    Chat Application

    Utilizing a Python framework such as Flask or Django, develop a real-time chat application with chat rooms and user registration in it.


    Task Manager

    Provide a task management application that enables users to prioritize, set deadlines, and arrange tasks.


    E-commerce Platform

    Establish a feature-rich online store with shopping carts, user accounts, product listings, and payment processing.


    Machine Learning Model

    Using libraries like TensorFlow or PyTorch, create a machine learning model for a particular purpose, such as sentiment analysis, picture recognition, or natural language processing.


    Live Stock Market Dashboard

    Create a dashboard to track and analyze live stock market data and stock performance.

    Key Highlights

    Our Instructor

    Learn from professionals who hold licenses and are actively working.

    Python Training Overview

    High-level and multipurpose, Python is renowned for its ease of use and readability.Since then, it has been incredibly popular because to its huge library and ease of use, which make it a great option for a variety of applications, including machine learning, automation, and web development. Python's design philosophy encourages developers to produce clear, succinct code and places a strong emphasis on code readability. It uses a syntax based on indentation to enforce code organization and lower the probability of mistakes. Python is a strong tool for a variety of jobs because of its large standard library and the availability of third-party packages. Its community-driven development and cross-platform compatibility guarantee its ongoing relevance and growth into new fields.

    Additional Information

    What are the requirement for an online Python training course?

    Depending on the particular course and the degree of Python proficiency it's intended for, different prerequisites may apply to online Python training courses. For such a course, the following standards and suggestions are typical:

    • Having a dependable internet connection on a computer or laptop is necessary in order to view course materials and take part in online classes.
    • Linux, macOS, and Windows can all run Python. Make sure one of these operating systems is installed on your machine.
    • Installing an integrated development environment (IDE) like PyCharm, Visual Studio Code, or Jupyter Notebook is necessary in order to write and execute Python code.
    • On your PC, install Python. Python is available for download via, the official website. Python 3.x is used in many online courses, thus installing the most recent version is advised.
    • Installing extra libraries and packages requires familiarity with package managers such as pip, Python's package installer.
    • Ascertain that the training platform has granted you access to the course contents, which might consist of lectures, films, homework, and tests.

    Python Programmer’s Potential Career Paths

    Due to the flexibility and application of the language across several fields, Python programmers have access to a wide range of prospective career options. As web developers, they may work with frameworks like Flask and Django to create dynamic, interactive websites. In order to extract insights from data, users may also explore data science and take advantage of Python's machine learning and data analysis capabilities. The fields of software engineering, game development, cybersecurity, and DevOps, where they optimize development procedures and secure applications, are other excellent options for Python programmers. They can also share their knowledge of Python while exploring teaching, scientific research, and academic responsibilities. You can become a business founder or focus on embedded systems development, for example. There are many alternatives available.

    What Goals Are Achieved in a Python Programming Course?

    The main aims and objectives of a Python programming course might change based on the course's level and focus, but they are all intended to assist students in reaching these goals. The following are some typical objectives met in a Python programming course:

    • Students get a strong grasp of basic programming ideas that are applicable to various programming languages, including as variables, data types, control structures, and functions.
    • Students gain confidence and accuracy in writing Python code by becoming skilled with the language's clear and legible syntax.
    • Thinking algorithmically and solving problems are encouraged in Python classes. Pupils get knowledge on how to formulate effective solutions and deconstruct difficult issues into digestible chunks.
    • Students get the ability to locate and fix problems or flaws in Python code, which improves their capacity to manage and develop software.
    • Integrated development environments (IDEs), text editors, and version control systems that are often used in Python development are introduced to students.
    • Students become proficient in managing and modifying data by utilizing data structures such as sets, dictionaries, lists, and tuples.

    Future Works for Python

    Since Python is a dynamic programming language with a thriving community, there are a lot of exciting new advancements and trends to be excited about in the future. Future Python projects and trends might include the following:

    • As the language develops further, Python 4.0, a significant version with additional features and enhancements, may come soon.
    • Python's efficiency is a continuous area of interest. Python is expected to receive improvements and optimizations in future editions, making it quicker and more effective.
    • Python may look at adding support for WebAssembly, which would allow Python code to execute in web browsers and increase its usefulness for web development.
    • Python is still going to be the dominant language in these fields. It's possible that libraries like scikit-learn, PyTorch, and TensorFlow may receive more development.
    • Python's development of libraries and tools for quantum programming positions it to contribute to the field's advancement.
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    Python Training Objectives

  • Validation of Expertise
  • Career Advancement
  • Competitive Edge
  • Augmented Knowledge
  • Professional Recognition
  • Access to Exclusive Resources
  • Basic Python Proficiency
  • DevOps Familiarity
  • Scripting and Automation Experience
  • Version Control Competency
  • Cloud Platform Understanding
  • Python DevOps Engineer
  • DevOps Specialist
  • Automation Engineer
  • Cloud DevOps Engineer
  • Site Reliability Engineer (SRE)
  • Continuous Integration/Continuous Deployment (CI/CD) Engineer
  • Infrastructure Developer
  • System Administrator
  • Software Developer with a DevOps focus
  • Creating Python scripts for automation and system administration tasks.
  • Implementing DevOps best practices, including setting up CI/CD pipelines.
  • Configuring and managing DevOps tools and platforms.
  • Deploying and overseeing applications using Python-based automation.
  • Diagnosing and resolving real-world DevOps challenges.
  • Proficiency in Python programming.
  • Acquaintance with DevOps principles and practices.
  • Competence in automation and scripting.
  • Expertise in version control systems, e.g., Git.
  • Familiarity with cloud platforms like AWS or Azure.
  • Problem-solving and troubleshooting aptitude.
  • Effective communication and collaboration skills for productive teamwork.
  • While a Python DevOps certification course may assume some prior Python knowledge, it can still be advantageous for novice learners seeking to grasp Python from the ground up. The course typically covers Python within the context of DevOps practices, encompassing scripting, automation, and system administration using Python. This approach allows beginners to gain hands-on experience with Python, potentially expediting their learning journey and providing a practical grasp of the language.

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    Industry Statistics

    Jobs / Month


    Avg. Salary

    ₹ 14,34,100

    Job Roles

    Data Analyst

    Web Developer

    Data Analyst

    Python Developer

    Java Certification


    Attaining a Python certification typically demands no rigid prerequisites. These certifications are thoughtfully crafted to be accessible to individuals with diverse skill levels, even those who are newcomers to Python. Nonetheless, possessing a foundational grasp of Python programming concepts and some prior experience can prove advantageous.

    While obtaining a Python certification can elevate your prospects for employment in roles that necessitate Python proficiency, it does not guarantee employment outright. The employment landscape, your overall qualifications, and your performance during interviews remain pivotal factors in securing a job.

    Indeed, it is entirely possible to pursue multiple Python course certifications. A range of Python certifications is available, each honing in on distinct facets of Python, allowing you to select certifications that align with your career aspirations and interests.

  • Certifications from the Python Institute (e.g., PCAP, PCPP)
  • Vendor-specific certifications, including the Microsoft Certified: Azure AI Engineer Associate
  • Certifications focusing on data science and machine learning
  • Certifications tailored for Python development and programming
  • Affirmation of your aptitude in Python programming and your knowledge thereof.
  • Augmented credibility within the job market.
  • A tangible testament to your dedication to professional growth.
  • Heightened consideration for roles necessitating Python expertise.
  • Opportunities for career progression and elevated earning potential.
  • For newcomers to Python, the "Python Institute Certified Associate in Python Programming (PCAP)" certification is an apt choice. It encompasses fundamental Python concepts and is explicitly designed for individuals with limited programming experience, making it an excellent point of commencement.

    While numerous roles connected with Python programming may not explicitly mandate a Python certification, possessing one can confer a competitive edge. Occupations that frequently derive benefit from Python certifications encompass software development, data analysis, machine learning, web development, and scripting roles. The particular prerequisites can fluctuate depending on the industry and the employer.

    Yes, it is frequently feasible to undertake Python certification examinations online. Organizations or certification providers extending Python certifications typically provide online examination options. You can typically register for the exam through their official websites or accredited testing centers, and, contingent upon the specific certification, you may have the option to complete the exam remotely or opt for an in-person examination. It is advisable to consult the respective certification provider for precise details on their online testing procedures and requirements.

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    The Preferred Partner for 100+ Organizations' Hiring

    Learn from the certified and real time working professionals.

    • Over 100 firms that are looking for top talent for their open positions have come to rely on ACTE as their go-to partner.

    • Businesses have confidence in our ability to match them with the best individuals because of our considerable expertise and proven track record of success.

    • In this section, we'll examine the primary elements influencing this trust and examine how our constant commitment to excellence regularly results in remarkable results for our clients.

    Corporate Clients

    Python Course Duration and Fees

    Level Course Duration Fees Structure
    Basic 1 - 1.5 Months 7,000₹ - 9,000₹
    Advanced 1.5 - 2 Months 7,000₹ - 10,000₹

    Job Opportunities in Python

    Python is preferred by more than 35% of developers. The most widely used and in-demand programming language in the tech industry is Python.

    Salary In Python
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    Junior DeveloperSenior DeveloperData ScientistMachine Learning EngineerPython Full-Stack DeveloperPython DevOps EngineerSoftware Engineer

    Upcoming In-Demand Jobs

    Python Data EngineerPython for DevOpsCloud EngineeringPython for AIPython in IoT

    Student Testimonials

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    Python Training FAQ's

    Improve Your Coding Ability with Fundamental Python Training for Novices and Experts!

    Python is a high-level, adaptable programming language recognized for its legibility and user-friendliness. It finds use in a diverse array of fields, encompassing web development, data analysis, scientific computation, automation, and more.

    Yes, Python is an open-source language, and it can be freely employed for both personal and commercial

    You can access Python by downloading it from the official website ( and then follow the installation instructions tailored to your operating system.

    Python stands out for its uncomplicated nature, readability, extensive standard library, cross-platform adaptability, and its dynamic and vibrant developer community.

    Python is frequently regarded as more readable and simpler to grasp compared to languages like Java or C++. Its strength lies in swift development and scripting tasks.

    Python libraries consist of pre-written code segments that supplement functionality. Modules, on the other hand, are individual Python files that house functions and variables.

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    Learning Python online provides the benefits of flexibility, access to an extensive pool of resources, the option for self-paced learning, and the ability to practice coding from anywhere with an internet connection.

    Online Python courses offer the advantages of flexibility and accessibility, whereas traditional in-person classes offer face-to-face interaction. The choice between them depends on your learning style and specific requirements.

    Python certifications signify proficiency in the language and are highly regarded by employers. However, they may not replace the depth of knowledge acquired through a traditional degree program.

    The duration varies significantly, ranging from a few weeks for introductory courses to several months for more extensive programs. The timeline depends on the course content and your preferred learning pace.

    Locate courses that specify their target audience and take into account your own background and expertise. Introductory courses are suitable for novices, while advanced courses are better suited for individuals with prior experience.

    Absolutely, the majority of online Python courses encompass hands-on coding exercises, projects, and real-world applications to reinforce your learning experience.

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    Python corporate training is a specialized educational program crafted to equip your workforce with Python programming skills, and its significance lies in ensuring your company's competitiveness and innovation in today's technology-driven environment.

    The central objectives revolve around enhancing employees' proficiency in Python, fostering problem-solving capabilities, and aligning their Python expertise with your organization's specific requirements.

    Python training can be customized by tailoring the curriculum, adjusting the duration, and focusing on areas that align precisely with your organization's unique demands.

    The duration may vary, but it typically offers flexibility, allowing it to be adapted to your company's schedule, whether you prefer an intensive or extended training period.

    Instructors typically come with substantial experience in Python development, relevant certifications, and a wealth of expertise in teaching Python to corporate learners.

    Typical programs encompass fundamental Python concepts, data manipulation, web development, data analysis, and may extend into more advanced domains such as machine learning or specialized Python libraries.

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