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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

    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.

     

    Calculator

    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.

    Best Industry Tools Covered

    Key Highlights

    Practical Training

    Global Certifications

    Flexible Timing

    Trainer Support

    Study Material

    Placement Support

    Mock Interviews

    Resume Building

    Our Instructor

    Study under qualified professionals who work full-time.

    Instructor
    Bala Kumar

    Experience : 3 Years

    Bala Kumar has over 3 years of expertise in DevOps approaches that prioritize security, guaranteeing that security is considered throughout the application development process. For anybody wishing to integrate security into their DevOps processes, Bala Kumar's understanding of DevSecOps and security procedures is important.

    Specialized in : DevSecOps, Security Automation, Vulnerability Scanning, Compliance as Code,(IAM), and Security Best Practices.

    Instructor
    Karan

    Experience : 4 Years

    Karan has managed Kubernetes-based apps for nine years, focusing mostly on GitOps techniques. For students interested in contemporary application delivery and Kubernetes administration, Karan's proficiency with GitOps and Kubernetes is essential.

    Specialized in : GitOps, FluxCD, Kubernetes Operators, Helm Charts, and Infrastructure as Code (IaC).

    Instructor
    Gudia

    Experience : 4 Years

    Gudia has been assisting companies in optimizing their apps for 3 years through performance monitoring and troubleshooting. For DevOps personnel looking to maintain application performance, Gudia's proficiency in performance monitoring and debugging is essential.

    Specialized on : Performance Monitoring, Application Metrics, Log Analysis, APM Tools, Debugging, and Troubleshooting in DevOps.

    Python Training Overview

    Python training is a course of study intended to provide participants the information and abilities needed to become competent Python programmers. The web development, data analysis, machine learning, and automation sectors are just a few of the numerous businesses that use Python substantially. It is well-known for its adaptability and simple syntax. Python training courses are offered at several skill levels to accommodate both novice and expert students. The topics covered in the courses span from the basics of Python to more specialized subjects like web development and data science. These classes usually include practical exercises and projects that let students use what they've learned in real-world situations. Python training provides an organized route for people to improve their coding skills and seek a lucrative career in the exciting field of Python programming.

    Additional Information

    A Guide to the Python Programming Language

    • The syntax of Python is renowned for being easy to understand and comprehend. Error-prone situations are less likely when code blocks are defined using indentation, which enforces a neat and orderly structure.
    • Python is a language that is interpreted, meaning that code may be run right away without the need for explicit compilation. The development cycle quickens and debugging is easier as a result.
    • Python is very portable due to its availability on several systems. Python code can execute with little to no changes on a variety of operating systems.
    • Variables in Python can have their types changed dynamically during runtime thanks to this feature. Although the code is made simpler by this flexibility, variable types must be carefully considered.
    • Python is compatible with object-oriented programming (OOP) concepts, which make it easier to organize code by utilizing classes and objects.
    • Python has an extensive standard library that includes pre-made modules and packages for diverse purposes, ranging from data processing and web development to file management and regular expressions.
    • A thriving ecosystem of third-party libraries, frameworks, and tools is fostered by the huge and dynamic Python community. Python's development is governed by the Python Software Foundation (PSF).

    What Advantages Can You Afford By Earning a Python Certification?

    Getting a Python certification provides several advantages for people looking to advance in their careers in software development, data analysis, machine learning, and related fields. These are a handful of the principal benefits:

    • Possessing a Python certification proves that you are fluent in the language and can use it practically. It gives peers and employers confidence in your abilities.
    • A wide range of sectors utilize Python. Possessing a certification can lead to employment in software engineering, data science, machine learning, web development, and other fields.
    • Python experts with certifications sometimes earn more money than those without. Certification is highly valued by employers as proof of your skill.
    • A Python certification can help you stand out from the competition in a crowded employment market by demonstrating your dedication to lifelong learning and professional advancement.
    • Thorough study and practical experience are necessary to prepare for a Python certification test, which can increase your understanding of Python and its uses.
    • Obtaining a certification can help you become respected by colleagues and prospective employers. It is a type of professional recognition.
    • A number of Python certificates are geared toward certain positions, such web developer or data analyst. You may be eligible for specialized roles with these certificates.

    Python Uses

    Python is an extremely adaptable and multifunctional programming language. It is widely used in web development, powering websites and online apps built with frameworks like Flask and Django. Thanks to libraries like pandas and NumPy, Python is also a powerful force in the field of data analysis and manipulation. Additionally, technologies like scikit-learn and TensorFlow further cement Python's position in machine learning and artificial intelligence. Using packages like Matplotlib and SciPy, scientists and researchers use Python for scientific computation, simulations, and data visualization. Furthermore, Python's automation features speed processes and ease tedious operations, which makes it an invaluable tool in industries like network programming, game development, and IoT development.

    Upon completion of Python training, the following positions become available:

    After finishing Python training, candidates are prepared to pursue a wide range of jobs in many sectors. A few of the roles that open up are as follows:

    • You may work on software development, data-related projects, and online applications as a Python developer. Python programmers frequently focus on data science, machine learning, or web development.
    • For web developers, Python is a preferred coding language. If you are proficient in Python, you may work as a web developer creating dynamic, interactive websites with frameworks like Django and Flask.
    • One of the most important tools for data analysis is Python. Python is used by data analysts to gather, purify, examine, and display data, giving important information to aid in decision-making.
    • Data scientists work on intricate machine learning and predictive modeling projects in addition to data analysis. For these positions, Python is essential.
    • If you are passionate about machine learning, training in Python will equip you to work on AI, deep learning, and machine learning model creation projects.
    • After completing their training, Python developers can go into positions creating and maintaining software systems, services, and applications.
    • Full-stack programmers generally proficient in both front-end and back-end development. Back-end development may benefit from Python, and there is full-stack development training available.
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    Python Training Objectives

    Python is frequently recognized as one of the most approachable programming languages to acquire. Its simplicity and legibility, combined with a lucid and straightforward syntax, render it accessible for novices. Python's expansive standard library also streamlines numerous intricate tasks, further enhancing its user-friendliness. While Python is novice-friendly, its adaptability means it can also accommodate more intricate and advanced programming undertakings.

    Opportunities in Python-related employment can be financially rewarding, particularly in domains like data science, machine learning, web development, and software engineering. Nevertheless, the precise salary can fluctuate depending on factors such as one's expertise, location, and specific job role. Python's adaptability and extensive application contribute to its potential for well-compensated positions.

  • Beginners interested in entering the programming realm due to Python's straightforwardness.
  • IT professionals looking to broaden their skill set.
  • Data analysts and data scientists utilizing Python for data manipulation and analysis.
  • Web developers creating dynamic and interactive websites.
  • Those inclined towards automation, scripting, and system administration.
  • Individuals aspiring to pursue careers in machine learning, artificial intelligence, or scientific research.
  • Python fundamentals (variables, data types, control structures).
  • Functions and modules.
  • Object-oriented programming.
  • Web development utilizing frameworks such as Django and Flask.
  • Data analysis and data representation through libraries like pandas and Matplotlib.
  • Machine learning and artificial intelligence employing libraries such as scikit-learn and TensorFlow.
  • Practical coding projects and exercises focused on problem-solving.
  • Aspiring programmers seeking to acquaint themselves with Python.
  • IT professionals eager to elevate their Python proficiency.
  • Data analysts and scientists employing Python for data-driven activities.
  • Web developers drawn to Python-centered web development.
  • Aspiring machine learning and AI practitioners.
  • System administrators, automation experts, and software developers.
  • Web development for crafting websites and web applications.
  • Data analysis and data handling in domains like finance, marketing, and research.
  • Scientific research, simulations, and data representation.
  • Machine learning, artificial intelligence, and deep learning.
  • Automation and scripting to expedite a variety of system and network administration tasks.
  • Game development and software engineering.
  • Internet of Things (IoT) and embedded systems programming.
  • DevOps practices to optimize software development and deployment workflows.
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    Industry Statistics

    Jobs / Month

    220

    Avg. Salary

    ₹ 14,34,100

    Job Roles

    Data Analyst

    Web Developer

    Data Analyst

    Python Developer

    Java Certification

    Certificate
    GET A SAMPLE CERTIFICATE

    It is possible to earn certifications for more than one Python course. There is a wide array of Python courses and certification options available, allowing you to pursue multiple certifications and develop a diverse skill set.

  • Python programming fundamentals.
  • Python web development.
  • Data science and machine learning using Python.
  • Python for data analysis.
  • Python for automation and scripting.
  • Certification in Django and Flask, popular Python web frameworks.
  • Python for cybersecurity.
  • Python for game development.
  • Python for network programming.
  • Python for IoT (Internet of Things) applications.
  • Enhanced professional credibility and job prospects.
  • Validation of your Python proficiency.
  • Recognition in the competitive job market.
  • Confidence in your Python coding skills.
  • A structured learning path to master Python.

    • If you're new to Python, an ideal starting point would be pursuing a certification that focuses on Python programming fundamentals. There are numerous beginner-friendly courses and certifications designed to help you grasp the foundational concepts of Python.

  • Software development.
  • Data science and analytics.
  • Web development.
  • Machine learning and artificial intelligence.
  • Network administration and cybersecurity.
  • DevOps and automation.
  • Scientific research.
  • Finance and quantitative analysis.

    • Numerous online Python certification exams are available. These certifications can be found on various e-learning platforms, at universities, and through professional organizations.

    Absolutely, you can earn certifications for multiple Python courses. This can be advantageous for broadening your skill set and exploring different career paths within the Python domain.

  • Fundamental Python programming.
  • Web development in Python with frameworks like Django or Flask.
  • Machine learning and data science with tools like scikit-learn and TensorFlow.
  • Scripting and automation using Python.
  • Database interaction with Python.
  • Network programming and expertise in cybersecurity.
  • Game development using Python libraries like Pygame.
  • Development for the Internet of Things (IoT) using Python.
  • Proficiency in version control with tools like Git.
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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
    Reach Our Placement Officer

    You can Work as a

    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

    Abirami Fresher

    Junior Developer | Hyderabad

     Got 7 LPA Package

    More Details : My transition from a recent graduate to a Junior Developer has been truly remarkable, and ACTE Training Institute played a crucial role in this metamorphosis. Today, I am a confident Junior Developer, prepared to take on real-world challenges.

    Rahul Fresher

    Senior Developer | Chennai

     Got 10 LPA Package

    More Details :ACTE Training Institute's guidance has been indispensable in my professional journey from a novice to a Senior Developer. I am now entrusted with complex projects and thriving as a Senior Developer.

    Jins Fresher

    Data Scientist | Bengalure

     Got 8 LPA Package

    More Details : The transformation from a recent graduate to a Data Scientist was a dream realized, and ACTE Training Institute played a pivotal role in making it a reality.I now stand as a Data Scientist, addressing data-driven challenges and contributing to innovative solutions.

    100% Placement

    7000+ Placed Student

    600+ Hiring Partners

    5.5 LPA Average Salary

    Recently Placed Students

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    Python Training FAQ's

    Learn Foundational Python for Beginners and Professionals to Improve Your Coding Skills!

    The PSF is a non-profit entity dedicated to fostering Python's development and advocating for its utilization.

    You can actively contribute to the Python community by engaging in open-source projects, reporting issues or bugs, creating documentation, and assisting newcomers.

    The GIL serves as a mutex within CPython, the default Python implementation, allowing only one thread to execute at a time. This constraint can impact the performance of multi-threaded processes, particularly in CPU-bound tasks.

    PEP 8 represents Python's official style guide, delineating coding conventions and best practices. Adhering to PEP 8 ensures uniformity and readability in your code.

    Indeed, Python is extensively employed in data science and machine learning due to its expansive ecosystem of libraries, including NumPy, pandas, scikit-learn, and TensorFlow.

    Python facilitates the handling of exceptions and errors through the use of try, except, and finally blocks, allowing for graceful error management in your code.

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    Specialized Python courses are readily available to align with specific career trajectories, encompassing fields like data science, web development, machine learning, and more.

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

    To sustain motivation, it's advisable to define clear objectives, segment your learning into manageable segments, and foster accountability through participation in study groups or mentorship.

    To enhance your learning experience, establish a consistent study schedule, engage in regular practice, seek assistance when needed, and reinforce your skills by applying what you've learned in personal projects.

    Absolutely, Python's beginner-friendly nature is complemented by numerous online resources specifically designed for individuals who lack any prior programming background.

    Many online Python courses indeed provide certificates upon successful completion, which can enhance your resume and career prospects.

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    Practical training encompasses coding exercises, projects, and real-world applications to ensure that participants can effectively apply their Python knowledge.

    You can assess effectiveness by monitoring performance improvements and project outcomes, while ROI can be calculated by quantifying gains in productivity and cost savings.

    Following the training, support options often include access to resources, participation in community forums, and expert consultations to aid employees in their ongoing learning journey.

    Absolutely, Python corporate training can be adapted to accommodate participants with diverse skill levels, ranging from beginners to advanced developers.

    The rate structure is subject to change depending on variables including personalization, length of training, and participant count. For bigger groups, several training companies provide discounts.

    Python training empowers employees to harness Python's capabilities for tasks like automation, data analysis, and the development of cutting-edge applications, positioning your company at the forefront of technological innovation.

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