Aspire Techsoft offers Python programming courses in Pune, India, focusing on practical, hands-on training. The course curriculum emphasizes industry-relevant skills, covering fundamentals, data handling, and object-oriented programming.
Course Duration
2 Months
Mode OF Training
Online / Classroom
100% Placement Assistance
Assured
Best Experienced Faculties
10+ years of Experienced
Course Duration 2 Months
Mode OF Training Online / Classroom
100% Placement Assistance
10+ Years Experienced Faculties
Python is a versatile programming language with a dynamic and interpreted nature. Its high-level design, including features like object-oriented capabilities and dynamic typing, facilitates rapid application development. The language emphasizes readability and ease of use, contributing to lower maintenance costs. Extensive libraries and cross-platform compatibility further enhance its practicality and widespread adoption. Its support for various programming paradigms adds to its flexibility. ...
The prerequisites for learning Python programming. Basic computer literacy and fundamental math skills are essential, while prior programming experience is not required. Familiarity with programming concepts, basic computer science, and using text editors or IDEs will be helpful but not mandatory.
Aspire Techsoft offers an online Python Classes in Pune, which is beneficial for a wide range of people. The course is aimed at aspiring programmers, professionals in various IT fields (including web development, data science and game development), and beginners interested in Python.
Previous knowledge of programming is helpful but not required.
The aim of this program is to boost career opportunities and enhance skills in the technology sector, making it suitable for students and experienced professionals alike. Our Python course is designed to be accessible and valuable to many.
Web developers, Analytics experts and professionals, Big Data experts, Game developers, Mathematicians, Data scientists, System testers, Shell scripters, Testing professionals, Project developers, ETL developers, Software professionals, BI Managers and Project Managers they should learn python course.
To enhance your skills as a great Python programmer, it is beneficial to learn a combination of programming languages, frameworks, and tools that complement Python, allowing you to work in a variety of fields such as web development, data science, machine learning, automation, or game development.
Web DevelopmentLanguages - HTML/CSS for front-end structure and styling, and JavaScript for dynamic front-end development.
Libraries/Frameworks - React, Vue.js, and Angular (based on JavaScript) are valuable for web development
SQL is required for database management and querying.
Web Frameworks - Django is a high-level Python framework for building secure websites, Flask is a lightweight micro-framework for greater flexibility, FastAPI is for building high-performance APIs, and Tornado is for handling long-term connections like WebSockets.
Tools - Docker for containerizing applications, Nginx as a web server, and PostgreSQL/MySQL for database interaction.
Languages - R is useful for advanced statistics and data analysis, complements Python, and requires SQL for large datasets.
Data Science Libraries (Python-centric) - NumPy for numerical computing, Pandas for data manipulation, Matplotlib/Seaborn for data visualization, and SciPy for scientific and technical computing.
Machine Learning Libraries - Scit-Learn for machine learning algorithms, TensorFlow/Kera for neural networks and deep learning, PyTorch for dynamic computational graphs, and XGBoost for gradient boosting models.
Tools - Docker for deploying data science applications, Git/GitHub for version control, and TensorBoard for visualizing machine learning models.
Jupyter Notebooks are powerful tools for interactive data science.
Languages/Tools - Bash/Shell scripting for automated tasks on Unix-based systems, and PowerShell for Windows environments.
Python libraries for automation - Selenium for web automation, Beautiful Soup for web scraping, Requests for HTTP requests, Pillow for image processing, and PyAutoGUI for GUI automation.
Task automation tools - Airflow for complex workflows and Celery for asynchronous tasks.
Tools - Docker for containerization, Kubernetes for container orchestration, Ansible for configuration management, and Terraform for infrastructure as code.
Tools - Git for version control, GitHub/GitLab/Bitbucket for hosting repositories, and JIRA for project management.
Our Python trainer has over 10+ years of experience in IT training, specifically focusing on Python and Django applications. This includes conducting classroom, online, and corporate training.
He is a Python certified professional and has unique teaching skills. He has deep practical knowledge of both Python 2 and Python 3.
The Python Trainer at Aspire Techsoft has experience in teaching Python for machine learning, AI and data science, as well as excellent skills in solving mathematical problems using Python programming.
Our trainer is currently working as a Senior Python Programming Developer in a top MNC. He has also worked as a Python Web and Gaming Developer and a Java Freelancer for small to medium organization.
He currently works as a Data Scientist on retail projects. This practical experience allows him to provide real-time project support during the training course.
They are experienced in handling live instructor-led online Python and Django classes and self-paced courses.
Our trainer offers the option to take demo classes via live Zoom or Goto meetings before enrolling Python course in Pune.
Full Stack Developer
Data or Quantitative Analyst
Python Developer
Data Analyst
Web Developer
Data Scientist
Machine Learning Engineer
Software Engineer
Automation Engineer
Cybersecurity Analyst
DevOps Engineer
Freelance and Consulting Opportunities
Python's popularity in India is surging, driven by its versatility and ease of use in various tech sectors. High demand for Python developers is fueled by growth in data science, machine learning, and web development.
Python's adoption by incorporating it into national digital literacy and skills programs. This creates numerous opportunities for aspiring programmers and contributes to India's technological advancement.
The strong community and readily available training also contribute to Python's bright future in India.
Python developers are responsible for developing, testing, and maintaining Python-based applications.
This includes writing efficient, reusable, and testable code, as well as maintaining and improving the existing codebase while focusing on code quality and performance.
Database management is a key responsibility, which includes integrating with databases using both relational (e.g., PostgreSQL, MySQL) and NoSQL databases, with a focus on optimal performance and data security, and handling data storage solutions.
Designing and implementing RESTful APIs to enable seamless communication between front-end and back-end services is also a key task.
Python developers often develop and maintain web applications using frameworks such as Django.
A python developer works closely with front-end developers to ensure seamless integration of server-side logic with user-facing components.
Troubleshoot, debug, and optimize applications to enhance performance and resolve any issues, ensuring software performance and reliability.
Performs thorough testing and debugging to identify and resolve issues for Python developers.
Creates comprehensive documentation for technical processes, architecture, and code specifications.
Collaborates with cross-functional teams, including UI/UX designers, project managers, and QA teams, to meet project goals and deadlines. They work with DevOps teams to deploy and maintain scalable applications.
Keeping up to date with the latest trends and advancements in Python and related technologies is a key part of the job.
As needed, Provides support and troubleshooting for production systems.
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Mock interviews by Aspireit give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
In our mock interviews will be conducted by industry best SAP Training experts with an average experience of 10+ years. So you’re sure to improve your chances of getting hired!
Know more about Successfull Students ...
When you complete the Python course here and complete the hands-on project, you will receive an ISO certificate that you can share with potential employers and your professional network.
Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it- tell your friend and colleagues about it.
Share your Certification with potential employers to show off your skills and capabilities
Yes, you will get an ISO certificate after completing the Data Science with Python online course at Aspire Techsoft Pune.
We, Aspire Techsoft the best Python training with Placement institute in Pune, provide career guidance to reach your dream job. But your job will be based on your performance in the interview and the recruiter's requirements.
Essential tools include the Python interpreter, a code editor and pip for package management.
Python interpreter - Python must be installed on your system.
Code editor - Popular code editors for Python include VSCode, PyCharm, and Jupyter Notebook.
Optional but recommended are virtual environments for dependency isolation and Git for version control. Specialized tools such as Anaconda (for data science) and Jupyter Notebook.
This is the tools useful for deployment and API testing.
No, Python is a great language for beginners and no knowledge of other programming languages is required. Familiarity with basic concepts like loops, conditions, and variables can be helpful.
Write Python programs to solve problems. Create basic projects such as web applications or data analysis scripts.
Use Python libraries and frameworks such as Pandas, Flask, Django, or NumPy.
Understand core programming concepts such as object-oriented programming.
Apply Python to fields such as machine learning, data science, or automation.
Building projects - Start with simple projects and gradually move on to more complex ones. Contribute to open-source Python projects on GitHub.
Participate in coding challenges on platforms like LeetCode, HackerRank, and Codewars. Join coding forums, meetups, or online communities.
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We can set up a batch at your convenient time.