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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.

  • 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

Develop Your Python Skills With Useful and Interesting Projects.


Number Guessing Game

Create a game where the player must guess the number that the computer randomly chooses. Give indications as to whether the guess is accurate or inaccurate.


Simple Alarm Clock

Create a simple alarm clock application that enables users to create alarms with particular timings and messages.


Currency Converter

Create a currency conversion application that works with several currencies depending on the most recent exchange rates.


Interactive Dictionary

Make a computer application that enables users to look up a word's meaning, synonyms, and antonyms. Use WordNet and other internet APIs as data sources.


Chat Application

Create a straightforward chat software in Python by concentrating on socket programming. Over a local network, users can converse.


E-commerce Product Search

Create a software that uses web scraping methods with libraries like BeautifulSoup and requests to look for goods on e-commerce websites and collect product data.


Machine Learning Project

Create a machine learning model for a specific task, such as sentiment analysis, image classification, or recommendation systems. Make use of the Scikit-Learn, TensorFlow, or PyTorch libraries.


Real-time Chat Application

Use WebSocket technology to build a real-time chat application that supports alerts and instant messaging.


Image Processing Project

Using libraries like OpenCV, create an image processing program to carry out operations like picture enhancement, object detection, or facial recognition.

Key Highlights

Our Instructor

Learn from experts who are licensed and are currently employed.

Python Training Overview

A high-level, flexible programming language known for its clarity and readability is Python. Python, which Guido van Rossum created in 1991, has grown to be a favorite among programmers of all experience levels. Its clear and expressive syntax, which depends on indentation for code organization, making it simple enough for novices to understand while still being robust enough for seasoned writers. Python's ability to be interpreted enables for quick development and debugging. It excels in a variety of areas, including web development with frameworks like Django and Flask and data science and machine learning with libraries like NumPy, Pandas, and scikit-learn. Python's ongoing relevance in a wide range of applications is ensured by its cross-platform interoperability, open-source nature, and a thriving community.

Additional Information

What Goals Are Achieved in a PythonProgramming Course?

Depending on the aims and substance of the particular course, participants in a Python programming course can accomplish a range of objectives. A Python programming course can help you achieve the following typical objectives:

  • Python Proficiency:Participants will gain a strong grasp of the fundamental concepts of Python, including its syntax, data types, variables, and control structures.
  • Problem-Solving Skills: Python courses often emphasize problem-solving techniques and teach participants how to break down complex problems into manageable components.
  • Software Development: Participants can learn how to design, develop, and debug Python applications. This includes writing functions, classes, and modules.
  • Web Development: In Python web development courses, students can achieve goals related to building web applications using Python frameworks like Django or Flask.
  • Data Analysis and Visualization: Python courses may cover data manipulation, analysis, and visualization using libraries like NumPy, Pandas, and Matplotlib.
  • Machine Learning and Data Science: More advanced courses can prepare participants to work in data science and machine learning by teaching relevant libraries and algorithms.
  • Automation: Python is widely used for automation and scripting. Participants can learn how to automate repetitive tasks and manage system administration.

What Advantages Can You Afford By Earning a Pyton Certification?

Getting a Python certification can have a number of benefits that help advance your career and abilities. The advantages of earning a Python certification include the following:

  • A Python certification provides official verification of your proficiency with the language. It proves to prospective employers, clients, and coworkers that you have a strong command of the language.
  • In the crowded employment market, obtaining a Python certification will help you stand out from other applicants who lack official certification of their abilities. Your chances of getting a job might be improved by making your CV stand out.
  • Certifications in Python may provide up options for professional progression. For jobs involving Python development, data analysis, machine learning, or other professions connected to Python, employers frequently prefer or need certified specialists.
  • Python specialists with certifications typically make more money than non-certified workers in comparable positions. Your income potential can be greatly increased by obtaining a Python certification.
  • Python certificates are widely accepted, therefore your abilities are credible and valuable not just in your local job market but also on a global level.
  • In-depth study and practice are often required while preparing for a Python certification test, which can greatly improve your Python knowledge and performance.

The Python certification you decide to pursue must be in line with your professional objectives and interests. Python certificates can be crucial to your performance and professional progress, whether you're a machine learning engineer, data analyst, or developer.

What New Python Frameworks Are There?

Several more recent frameworks have arisen to meet a variety of application demands in the dynamic Python ecosystem. High-performance web framework FastAPI has become known for creating effective APIs with automated documentation. Concurrent and non-blocking web applications are made possible by Starlette and Quart, which concentrate on asynchronous web programming. In order to improve interoperability with frameworks like FastAPI, Pydantic streamlines data validation and serialization. Interactive dashboards and independent web apps may be created from Jupyter notebooks with Jupyter Voila.

While Streamlit provides an approachable way to build data-driven web apps, PyTorch Lightning simplifies the training of PyTorch models. Natural language processing problems are aided by pre-trained models in Hugging Face Transformers. The purpose of Prefect is to streamline challenging ETL procedures by managing data operations.While Tornado continues to be a solid option for real-time, high-concurrency web apps, BeeWare includes capabilities for cross-platform native app development. Innovating and adapting to a variety of contemporary development difficulties, these frameworks are a perfect example of Python's flexibility.

A Guide to the Python Programming Language

  • A high-level, all-purpose programming language called Python is renowned for its clarity and simplicity. It is simple to write and comprehend because it employs indentation to designate code chunks.
  • Because Python is an interpreted language, it doesn't need to be compiled before use. It is convenient for quick development and debugging because of this.
  • Python supports dynamic typing, which enables variables to switch between different data types as needed. Although this flexibility makes code easier, diligent testing may be necessary to detect type-related problems.
  • Python may be used on many operating systems, including Windows, macOS, and Linux. Python-written programs typically run on a variety of platforms.
  • With modules for everything from file I/O to internet connection, Python has a robust standard library.

Tools and Knowledge for Python Developers:

For the purpose of properly designing, testing, and maintaining Python applications, developers rely on a variety of resources and skills. For Python developers, here are some necessary resources and skill sets:

  • Examples of well-known Python integrated development environments (IDEs) are PyCharm, Visual Studio Code, and Jupyter Notebook. Additionally popular are text editors like Sublime Text and Atom.
  • Python code must be executed through an interpreter. The most recent stable release of Python, version 3.x, is advised for usage.
  • The management of Python packages and dependencies requires the use of tools like pip and conda. You may remove, update, and install libraries with ease using them.
  • By isolating project-specific dependencies, virtual environment solutions like venv, virtualenv, and conda assist avoid conflicts across several projects.
  • The most popular version control tool for monitoring codebase changes is called Git. The most well-liked websites for hosting Git repositories are GitHub, GitLab, and Bitbucket.
  • Database interaction is made possible for Python developers via programs like SQLAlchemy, Django ORM, or clients tailored for certain databases (like psycopg2 for PostgreSQL).
  • You may create and execute test cases to make sure your code is proper by using libraries like pytest and unittest.

Python Future Prospects and Techniques

Python's prospects for the future are still quite bright because it is a popular and functional programming language. Here are a few Python's promising prospects and cutting-edge techniques:

  • In terms of AI and ML development, Python is at the forefront. Its ongoing use in machine learning research and applications is ensured by its prominence in libraries like TensorFlow, PyTorch, and scikit-learn.
  • A kind of machine learning called "deep learning" is becoming more popular across a range of fields. TensorFlow and PyTorch are two Python frameworks that are advancing deep neural network research and are anticipated to continue playing a significant role in this area.
  • The language of choice for data scientists is Python. It is simpler to analyze, display, and draw conclusions from data thanks to libraries like Pandas, NumPy, and Matplotlib. Python will play a bigger part in data science in the future.
  • AI ethics and ethical AI development are receiving greater attention as applications of AI and machine learning become more widespread. AI projects will require Python developers to take ethical issues into account.
  • Python is a good contender for edge computing and Internet of Things (IoT) applications due to its lightweight design and wide-ranging library. Embedded system programming languages MicroPython and CircuitPython are becoming more and more well-liked.
  • Python is becoming more popular in the quantum computing space. Developers may experiment with quantum computers and use their power thanks to libraries like Qiskit.

Python's versatility, readability, and extensive ecosystem of libraries and frameworks continue to make it a language with a promising future. For developers to fully utilize Python's capabilities across a variety of sectors and disciplines, they must stay current on the newest developments and cutting-edge methodologies.

Pros of Python:

Python is a preferred programming language for developers of all skill levels and from a wide range of industries because to its many benefits. Its readability and simplicity are its fundamental advantages, and the clear, short syntax makes both coding and maintaining programs easier. Because of the language's adaptability, it can be used for web development, data science, machine learning, automation, and more, making it a top choice for a wide range of use cases. In-built modules and functions for a variety of tasks are available in Python's large standard library, which eliminates the need for additional dependencies.

Additionally, the language has a vibrant and helpful community that offers a wealth of resources and support.Python's cross-platform functionality enables code to operate without any issues on many operating systems. As a flexible, approachable, and widely used language in the programming community, it is further cemented by its dynamic typing, quick development skills, and good support for automation and scripting jobs.

Python Uses:

Python is a powerful programming language that can be utilized in a variety of contexts and applications. It is a popular option for many purposes because to its adaptability and simplicity of usage. Some of the principal applications of Python are as follows:

  • Building web apps uses Python rather frequently. Routers, templates, and tools for processing HTTP requests and answers are all provided by frameworks like Django, Flask, and Pyramid, which also make web development simpler.
  • For data processing and visualization, Python is a top language. It is standard practice to handle and show data using libraries like Pandas, Matplotlib, Seaborn, and Plotly.
  • Machine learning and AI are mostly conducted in Python. Developers can build and train machine learning models thanks to frameworks like TensorFlow, PyTorch, and scikit-learn.
  • With modules like NumPy and SciPy that offer tools for numerical computations, optimization, and scientific research, Python is a well-liked language in scientific computing.
  • Python is commonly used to ease tedious activities, automate jobs, and write scripts for system management.
  • Python is used to build games, and libraries like Pygame and Panda3D make it possible to construct both 2D and 3D games.
  • Python is a great programming language for IoT applications, such as managing devices and sensors, thanks to its lightweight design and support for microcontrollers.

Following completion of Java training, these are some of the occupations that are available:

  • Java Developer: Write, test, and maintain Java programs as a Java developer. Working on a variety of projects, from web development to business software, may be part of this profession.
  • Software Engineer: Java is used by software engineers to design, build, and manage software applications, such as system software, mobile apps, and online services.
  • Web Developer: Java developers with a focus in web development may build dynamic, interactive websites and web applications utilizing Java-based frameworks like Spring or Java EE.
  • Mobile App Developer: Android apps are developed using Java, and mobile app developers utilize Java in conjunction with the Android SDK to make Android apps.
  • Full-Stack Developers: Full-stack developers work on both the front end and back end of web applications. For server-side programming and JavaScript for the front end, they may both utilize Java.
  • Backend Developer: Backend developers work on the server-side of online applications, managing data storage, security, and application logic. For backend development, Java is frequently employed.
  • Game Developer: Java may be used in game development, especially for Android games. Java-based engines and frameworks are used by game designers to construct 2D and 3D games.
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Python Training Objectives

The goals of studying Python are to become proficient in a flexible programming language, to improve problem-solving abilities, and to be able to utilize Python for web development, data analysis, automation, and other things.

Because of its simple syntax, which prioritizes readability and lowers the learning curve, Python is well-liked by novices. It offers a great starting place for anyone who want to learn programming.

  • Web developer,
  • Data scientist,
  • Machine learning engineer,
  • Software engineer,
  • Data analyst.
  • Learning Python may advance your career by providing access to a variety of employment options. A important talent for job success is Python because it is in great demand across sectors.

    Python is frequently used for automation and scripting jobs, including automating repetitive procedures, system management, and handling tasks that require interfacing with files, databases, and APIs.

  • AI,
  • Blockchain,
  • IoT, and
  • Cloud computing
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    Industry Statistics

    Jobs / Month


    Avg. Salary

    ₹ 14,34,100

    Job Roles

    • Data Analyst
    • Web Developer
    • Data Analyst
    • Python Developer

    Python Certification


    A Python certification is a recognized endorsement of your proficiency with the Python programming language. Normally, you receive it after passing a certification test or finishing a Python training course.

    Python certificates may enhance your work chances, raise your earning potential, and demonstrate your talents to prospective employers. They also provide an organized method for learning Python in-depth.

    Preparation methods vary, but they often include:

  • Use practice tests, internet resources, and textbooks to do independent study.
  • Taking a Python certification class.
  • Practical experience can be gained through project work and hands-on coding.
  • The majority of Python certificates, particularly entry-level ones, don't call for previous coding expertise. However, having a foundational understanding of programming might be useful.

  • Understand the Exam Objectives
  • Use Reliable Study Materials
  • Practice Hands-on with Mock Tests
  • Engage in Study Groups
  • Review Fundamentals
  • Focus on Key Topics
  • Revise Regularly for Better Preparation
  • Obtaining a Python certification is not necessarily mandatory, but it may be advantageous, particularly for newcomers and those trying to stand out in a crowded employment market. Additionally, there is a lot of value placed on experience and a robust project portfolio.

    Yes, a lot of Python certification courses and tests are available online. Select a trustworthy service and confirm their online proctoring procedures.

    The choice to get an ACTE Python Certification, validating knowledge and fostering skills for Java programming and job success, is influenced by individual professional goals and industry recognition. Think about the return on investment, potential networking opportunities, alternatives, and alignment with long-term career goals.

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    • 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.

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    Our program offers a comprehensive range of services that are intended to give people the knowledge and tools they need to thrive in the cutthroat job market of today. We offer the direction and resources required to assist participants in identifying their professional objectives and securing meaningful employment, from individualized career counseling and resume workshops to interview practice sessions and networking events.

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    Course Completion

    Resume Building

    Group Discussion

    Mock Interviews


    Python Course Duration and Fees


    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

    Improve Your Coding Skills with Python Training for Newcomers and Experts!

    Python training describes formal teaching that teaches people how to utilize the Python programming language efficiently. This formal instruction is frequently provided through courses, seminars, or educational programs. It covers a wide range of topics, including fundamental grammar and more complex ones like web development, data analysis, and machine learning using Python.

    Learning Python may help you improve your language abilities, build practical coding knowledge, and create new employment options in areas like web development, data science, and automation. Both novice and seasoned programmers can benefit from the investment.

    Python is user-friendly for beginners and doesn't require any prior programming knowledge. But having a fundamental grasp of programming ideas might be useful. Check the course specifics because some advanced Python courses may have certain prerequisites.

  • Python syntax and fundamentals
  • Data structures (lists, dictionaries, etc.)
  • Functions and modules
  • Object-oriented programming
  • Web development (Django, Flask)
  • Data analysis (NumPy, Pandas)
  • Machine learning (scikit-learn, TensorFlow)
  • Automation and scripting
  • Online courses and video tutorials
  • In-person or live virtual classes
  • Coding bootcamps
  • Specialized tracks (e.g., data science, web development)
  • Self-study with books and documentation
  • The length of Python instruction varies greatly. It might take anywhere from a few weeks for a fundamental introduction to many months for longer programs like bootcamps. You may advance at your own rate when you learn on your own time.

    Although certification is not required, it might boost your Python abilities' legitimacy and increase your employment options. The Python Institute offers a variety of Python certificates, including PCAP and PCPP. Also offering credentials are certain data science and web development bootcamps.

    Since they show your dedication to studying and expertise with the language, Python courses and certifications are highly valued by businesses. On the employment market, actual abilities and experience, however, frequently matter more.

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    Python programming tutorials, courses, and other educational offerings delivered online are referred to as online Python training. These courses may be taken at your own leisure or with an instructor, and they cover a wide range of Python subjects.

    You may learn Python online at your own speed and according to your schedule, giving you freedom. With an internet connection, it can be accessed from anywhere and offers access to a variety of Python materials and teachers.

  • Flexibility in scheduling and location.
  • Access to a diverse range of Python courses and tutorials.
  • Self-paced learning options.
  • Often more cost-effective compared to traditional in-person training.
  • Consider your goals, your learning style, the caliber and reputation of the course or platform, and feedback from former students when selecting the best program. Do your homework before joining.

    Beginners can benefit from online Python instruction, but self-control and drive are essential. There are several beginner-friendly courses with organized content and exercises accessible.

    Establish definite objectives, plan your study time, and actively participate in the course content if you want to succeed in online Python training. Work on relevant tasks to apply what you've learned, and ask for assistance when necessary.

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    Giving employees within a firm Python programming classes, seminars, or educational initiatives is referred to as corporate Python training. Whether it is used to train current employees or onboard new personnel, it is designed to match the organization's unique needs.

  • Improved employee skills and proficiency in Python.
  • Enhanced problem-solving capabilities.
  • Increased efficiency and automation of tasks.
  • Better data analysis and decision-making.
  • Competitive advantage in the marketplace.
  • Python is frequently used for developing websites, data analysis, machine learning, and other things. A company's ability to manage data-driven activities and projects may be improved by providing Python training to staff. This will also increase productivity.

  • Python programming fundamentals
  • Web development with Python frameworks like Django and Flask
  • Data analysis using Python libraries (NumPy, Pandas)
  • Machine learning and AI with Python
  • Automation and scripting
  • Instructor-led training sessions in person or virtually
  • Self-paced online courses and tutorials
  • Workshops and coding bootcamps
  • Blended learning, which combines in-person and online components
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