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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 Over 35% of Developers. Python is the most widely used and in-demand programming language in the IT industry.

    • What is Python and 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 variables?
    • Python Core objects and Functions
    • Number and Maths
    • Week 1 Assignments
    • if-else
    • if-elif-else
    • while loop
    • for loop
    • break
    • continue
    • assert
    • pass
    • return
    • Introduction
    • Lists in Python
    • More about Lists
    • Understanding Iterators
    • Generators, Comprehensions and Lambda Expressions
    • Understanding and using Ranges
    • More About Ranges
    • Ordered Sets with tuples
    • Introduction to the section
    • Python Dictionaries
    • More on Dictionaries
    • Sets
    • Python Sets Examples
    • Reading and writing text files
    • writing Text Files
    • Appending to Files and Challenge
    • Writing Binary Files Manually
    • Using Pickle to Write Binary Files
    • Python user defined functions
    • Python packages functions
    • Defining and calling Function
    • The anonymous Functions
    • Loops and statement in Python
    • Python Modules & Packages
    • Overview of OOP
    • The self variable
    • Constructor
    • Types Of Variables
    • Namespaces
    • Creating Classes and Objects
    • Inheritance
    • Types of 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
    • Errors in Python
    • Compile-Time Errors
    • Runtime Errors
    • Logical Errors
    • What is Exception?
    • Handling an exception
    • try….except…else
    • try-finally clause
    • Argument of an Exception
    • Python Standard Exceptions
    • Raising an exceptions
    • User-Defined Exceptions
    • What are regular expressions?
    • The match Function
    • The search Function
    • Matching vs searching
    • Search and Replace
    • Extended Regular Expressions
    • Wildcard
    • 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
    • Deadlock of Threads
    • Avoiding Deadlocks
    • Daemon Threads
    • Python MySQL Database Access
    • Install the MySQLdb and other Packages
    • Create Database Connection
    • CREATE, INSERT, READ Operation
    • DML and DDL Oepration with Databases
    • Numpy
    • Pandas
    • GUI in Python
    • Button Widget
    • Label Widget
    • Text Widget
    • Introduction to MVC and MVT architecture in Web development
    • Django folder structure and flow of control

    Python Training Projects

    Learn about a fascinating and practical Python project experience.p>


    Simple Blog Website

    Provide a straightforward blogging platform that enables users to write and publish text- and image-based blog entries.


    Quiz Application

    Create a quiz application that asks users questions about various subjects and gives them feedback on their responses.


    Contact Book

    To store and retrieve contact details, set up a rudimentary contact management system.

     Recipe Finder

    Create an application called Recipe Finder that looks up recipes depending on the user's specified ingredients or cuisines.


    News Aggregator

    Develop an application called News Aggregator that compiles news stories from several sources and presents them in a single location.


    Social Media Dashboard

    Create a dashboard with analytics and insights that compiles information from different social media sites.


    Live Stock Market Dashboard

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


    Blockchain Implementation

    Build a simple blockchain that has peer-to-peer communication, transactions, and mining capabilities.


    Voice Assistant

    Create a voice-activated assistant that can reply to user requests and commands. Think of it like Siri or Alexa.

    Key Highlights

    Our Instructor

    Get knowledge from professionals that hold a license and work a full-time job.

    Python Training Overview

    Python training is a thorough educational program that gives learners the information and abilities they need to become competent Python programmers. Python is well-known for its adaptability and user-friendly syntax and is used extensively in many different areas, such as building websites, machine learning, data mining, and robotics. Python training programs cater to a range of skill levels, accommodating both novices and experienced learners. Course content spans from fundamental Python concepts to specialized subjects like web development and data science. Practical exercises and projects are typically integrated into these courses, enabling students to apply their newly acquired knowledge in real-world scenarios. Python training serves as a structured pathway for individuals to enhance their coding proficiency and pursue lucrative careers in the dynamic realm of Python programming.

    Additional Information

    A Guide to the Python Programming Language

    • Python's syntax is celebrated for its clarity and comprehensibility. Utilizing indentation to define code blocks enforces a neat and structured layout, reducing the likelihood of error-prone situations.
    • Python is a programming language that is interpreted, which enables instantaneous code execution by doing away with the requirement for explicit compilation. Debugging becomes easier as a result, and the development cycle is accelerated.
    • Python's high portability is attributed to its availability on multiple operating systems, allowing Python code to run with minimal adjustments across various platforms.
    • Python's dynamic typing enables variables to have their types changed dynamically during runtime, enhancing code simplicity. However, careful consideration of variable types is necessary.
    • Python seamlessly integrates object-oriented programming (OOP) principles, simplifying code organization through the utilization of classes and objects.
    • Python boasts an extensive standard library, offering a wealth of pre-built modules and packages for a wide range of purposes, including data processing, web development, file management, and regular expressions.
    • Python benefits from a robust and dynamic community that fosters a thriving ecosystem of third-party libraries, frameworks, and tools. The Python Software Foundation (PSF) governs Python's development.

    What Advantages Can You Afford By Earning a Python Certification?

    For individuals seeking career advancement in software development, data analysis, machine learning, and related fields, attaining a Python certification presents numerous benefits. Some of the primary advantages include:

    • Holding a Python certification serves as compelling proof of your proficiency in the language, instilling confidence in both peers and employers regarding your capabilities.
    • Python is extensively employed across various sectors. Acquiring a certification can open doors to positions in software engineering, data science, machine learning, web development, and other domains.
    • Python professionals with certifications often command higher salaries. Employers highly value certifications as tangible evidence of your expertise.
    • In a competitive job market, a Python certification distinguishes you by demonstrating your commitment to continuous learning and professional advancement.
    • Rigorous preparation for a Python certification exam necessitates in-depth study and practical experience, enhancing your understanding of Python and its applications.
    • Achieving certification bolsters your professional reputation, earning the respect of colleagues and prospective employers as a mark of expertise.
    • Several Python certifications are tailored to specific positions, such as web developer or data analyst, enabling eligibility for specialized roles.

    Python Uses

    Python is an exceptionally versatile programming language with diverse applications. It underpins the development of websites and web applications using frameworks like Flask and Django, making it a dominant force in web development. Moreover, Python is instrumental in the realm of data analysis and manipulation, facilitated by libraries such as pandas and NumPy. The language's significance is further underscored in machine learning and artificial intelligence, where packages like scikit-learn and TensorFlow empower data scientists. Python finds substantial utility in scientific computation, simulations, and data visualization through tools like Matplotlib and SciPy. Its automation capabilities streamline processes and alleviate repetitive tasks, rendering it invaluable in fields like network programming, game development, and IoT development.

    Upon completion of Python training, the following positions become available

    Upon successfully completing Python training, a wide array of career opportunities materializes, including:

    • Python developers engage in software development, data-centric projects, and web application creation. They may specialize in areas like data science, machine learning, or web development.
    • Proficiency in Python can lead to roles as a web developer specializing in frameworks like Django and Flask, with a focus on constructing dynamic and interactive websites.
    • Python is a cornerstone in data analysis, and data analysts utilize it for data collection, cleansing, analysis, and presentation, offering vital insights for informed decision-making.
    • Data scientists delve into complex machine learning and predictive modeling projects in addition to data analysis, relying on Python's capabilities.
    • Python training equips individuals to engage in AI, deep learning, and machine learning model development.
    • Python-trained individuals can transition into software engineering roles, working on the creation and maintenance of software systems, services, and applications.
    • Full-stack developers proficient in both front-end and back-end development can leverage Python for back-end development.
    • DevOps engineers specialize in automating and streamlining development and deployment processes, utilizing Python for scripting and automation.
    • Python plays a pivotal role in cybersecurity for tasks like penetration testing, network analysis, and security monitoring, making it a pathway to careers in this field.
    • Python proficiency is beneficial for programming embedded systems found in IoT devices and robotics.
    • Python is embraced in game development, particularly for creating 2D and 3D games and interactive simulations.
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    Python Training Objectives

    Python certification pertains to the process of acquiring formal recognition or evidence of your competence in the Python programming language. Numerous organizations and online platforms offer Python certification programs, typically involving the successful completion of an examination or a series of tasks and projects to substantiate your skills. Earning a Python certification serves to validate your proficiency in Python, which can be advantageous for your career prospects.

  • Python is becoming more and more useful in fields like automation, data science, and artificial intelligence as technology develops, solidifying its place as a crucial competency for future employment prospects.
  • Ease of Acquisition: Python is celebrated for its uncomplicated and comprehensible syntax, rendering it an ideal language for novices.
  • High Demand: Python enjoys high demand in the employment market, presenting numerous job prospects in a multitude of industries.
  • Supportive Community: Python boasts a substantial and dynamic community that offers resources and assistance to both learners and professionals.
  • Python syntax and foundational principles
  • Data types, variables, and operators
  • Control structures (including if statements and loops)
  • Functions and modules
  • File manipulation
  • Handling exceptions
  • Object-oriented programming (OOP)
  • Utilizing libraries and frameworks
  • Basic data analysis and manipulation
  • Web development employing Python frameworks such as Django or Flask (offered in select courses)
  • Establishing a robust grounding in Python programming.
  • Cultivating problem-solving skills using Python.
  • Gaining experience working on practical projects.
  • Preparation for Python certification examinations.
  • Acquiring the skills requisite for specific career paths, such as web development, data analysis, or machine learning.
  • Python is widely regarded as one of the most future-proof programming languages. Its adaptability and pervasive utilization across diverse industries, encompassing data science, artificial intelligence, web development, and more, render it a valuable asset for the future. The demand for Python developers is anticipated to continue growing, making learning Python a prudent investment in your prospective career.

  • Software development
  • Data analysis
  • Machine learning and AI
  • DevOps and automation
  • Web development
  • Show More

    Industry Statistics

    Jobs / Month


    Avg. Salary

    ₹ 14,34,100

    Job Roles

    Data Analyst

    Web Developer

    Data Analyst

    Python Developer

    Java Certification


    Prerequisites for Python certification can vary based on the specific program and its level. Typically, for a foundational Python certification, there may be no formal requirements, making it accessible to beginners. However, more advanced certifications might expect candidates to have a solid grasp of Python programming concepts.

  • Python Developer
  • Data Analyst
  • Data Scientist
  • Web Developer
  • Software Engineer
  • Machine Learning Engineer
  • Network Engineer
  • Cybersecurity Analyst
  • DevOps Engineer
  • Automation Engineer
  • As mentioned earlier, prerequisites for Python certification can be diverse. Entry-level certifications often have no strict prerequisites, making them accessible to beginners. However, for advanced certifications, having a fundamental understanding of Python basics can be advantageous.

  • Authenticate your Python skills to prospective employers.
  • Enhance your employability and job prospects.
  • Expand your career options, particularly in Python-related domains.
  • Demonstrate your commitment to continuous learning.
  • Offer a structured learning path for mastering Python, ensuring a strong foundation in the language.
  • Following the attainment of a Python certification, you can pursue a range of job roles, as previously mentioned. These roles encompass fields such as software development, data analysis, web development, machine learning, providing a broad spectrum of career opportunities within the technology and related industries.

  • Displaying expertise and dedication to prospective employers.
  • Increasing the probability of securing job interviews.
  • Reinforcing job stability and income potential.
  • Facilitating progression into specialized or senior roles.
  • Equipping you with the skills required to address intricate challenges and have a substantial impact in your field.
  • Python Institute's PCAP (Python Certified Associate) and PCPP (Python Certified Professional) certifications.
  • Microsoft Certified: Azure Data Scientist Associate (involving Python for data science).
  • Google Professional Data Engineer (involving Python for data engineering).
  • Cisco Certified Network Associate (CCNA) with Python.
  • Certified Ethical Hacker (CEH) integrating Python for cybersecurity.
  • For individuals new to Python, an appropriate Python certification program would be the Python Institute's PCAP (Python Certified Associate) certification. This program concentrates on fundamental Python programming skills and is tailored for those with limited prior experience in Python.

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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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    Python Training FAQ's

    To get better at coding, learn Foundational Python for Beginners and Professionals!

    Python finds utility in a wide array of real-world scenarios, ranging from the development of web applications and data analysis to the creation of artificial intelligence models and the automation of various tasks.

    You can explore Python-related job openings on a variety of platforms, including job boards, company websites, and professional networking platforms such as LinkedIn.

    Indeed, Python is frequently recommended for novice programmers due to its user-friendly syntax, readability, and the abundant educational resources available.

    Yes, Python is an open-source language, and it can be used without cost, both for personal and commercial purposes.

    Installing Python on your computer is as simple as downloading it from the official website ( and following the operating system-specific installation instructions.

    Python's appeal is attributed to its simplicity, readability, extensive standard library, compatibility across various platforms, and its dynamic and thriving developer community.

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    Upon completing online Python courses, many of them do provide certificates, which can significantly enhance your resume and career prospects.

    Common hurdles include sustaining motivation, addressing technical issues, and effectively managing time. To overcome these challenges, it is advisable to establish well-defined objectives, seek assistance when required, and adhere to a structured learning schedule.

    Many online courses do offer avenues for interaction with instructors, whether through forums, live question and answer sessions, or email communication.

    Yes, a variety of Python courses are tailored to align with specific career trajectories, encompassing domains like data science, web development, machine learning, and more.

    Prerequisites can vary, with introductory courses typically requiring no prior knowledge, while more advanced programs may anticipate some prior experience with programming.

    To sustain motivation, consider setting clear goals, breaking your learning into manageable segments, and fostering accountability through participation in study groups or mentorship.

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    Many programs offer the option of certification or assessments to gauge employee proficiency and the acquisition of skills.

    Training providers commonly implement security measures, including securing access, encrypting communication, and establishing data protection protocols to safeguard sensitive company information.

    Python training can be administered in various formats, including remote, in-house, or on-site, depending on your company's specific preferences and needs.

    You can begin by reaching out to a training provider, engaging in discussions about your requirements, customizing the program, and coordinating a suitable schedule with their assistance.

    Close collaboration with the training provider is essential to guarantee that the curriculum and training objectives closely match your distinct business goals.

    Post-training resources encompass access to online communities, reference materials, and expert guidance, facilitating continuous skill development for employees.

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