The Python course at ACTE is intended to impart knowledge on the basic and advance conceptual frameworks of Python which includes an in-depth understanding of sequence and file operations, machine learning, python scripts, functions in python, web scraping etc.
Python could be a totally practical programing language will do something virtually the other language can do, at comparable speeds.Python is capable of threading and GPU process a bit like the other language. Most of the information process modules are literally simply Python wrappers around C/C++ code.
Python is good for a career because it is valuable in the software industry for the following reasons: It is widely used you can easily assemble a team of programmers experienced in it. Recently Python Developer has become a very sought after job in the industry. ... Python programming language is much more preferred coding language than C++ and Java. This is because a Python code is not only shorter and more readable than its popular peers are but is also very versatile.
The future scope of python programming language can also predicted by the way has helped big data technology to grow. Python has been successfully contributing in analysing a large number of data sets across computer clusters through its high-performance toolkits and libraries. Salary varies as a Python Developer according to the different Cities in India. As per the present criteria, Bangalore is the number 1 city for working as a Python Developer. Therefore, the Salary in Bangalore is varied to 460, 000. In Pune, it is near about 320,000, In Hindi Its 220,000, New Delhi it is 120,000.
Python developers are in high demand - not only because the language is so popular and widely used but also mostly because Python became a solution in many different areas. From web applications to data science and machine learning. However, it is not enough to be master the language itself. s for Data Science, it is a rising star of the Python world. Pandas, Numpy and SciPy are all tools that are highly in demand, along with Jupiter notebooks.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings in Python. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
Yes, Python is valuable in a variety of different careers, not just as a programmer. ... If you want to become a software developer that utilizes Python, such as backend web development, Python is a great choice. It used in a variety of different areas. Yes, Python is valuable in a variety of different careers, not just as a programmer. ... If you want to become a software developer that utilizes Python, such as backend web development, Python is a great choice. It used in a variety of different areas.
The biggest difference between the two languages is that Java is a statically typed and Python is a dynamically typed. Python is strongly but dynamically typed. ... This makes Python very easy to write and not too bad to read, but difficult to analyse. Static type inference in Python is a known hard problem. Python is more productive language than Java. Python is an interpreted language with elegant syntax and makes it a very good option for scripting and rapid application development in many areas. ... Python code is much shorter, even though some Java “class shell” not listed.
Python is all about libraries- pre-written codes by the Python Devs/Community. All you have to do is to fetch these codes to make your own program(s). In short, it is great! Regarding your question, NO, one does not need to be proficient in C to learn Python. If you want to learn Python, you just need to know basics of programming languages like C and C++. ... Python has become the most popular language in year 2020. Once you learn Python thoroughly, it will become easy to find jobs. Many companies are using Python for developing their websites, GUI development.
Our courseware is designed to give a hands-on approach to the students in Python. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
However, the worth of any programming language totally depends upon the tasks to performed, or the field you are going to work it. After intense research, it has found that among all the programming languages, Python has enough reasons to be something worth to learn in 2020. It is always worth to learn programming language is popular and commonly used.... If you consider learning Python to get a job as a software developer, it seems a reasonable choice.
Python has managed to dominate other programming languages such as Java, C, C++, etc. ... In over the span of 25 years, Python has managed to reach a level that is high above others making it the fastest growing language. Not only this, but it also has a promising future along with the addition of other technology. The data science, AI and ML has more future for python in coming days with the salary hikes in India.
First and foremost reason why Python is much popular because it is highly productive as compared to other programming languages like C++ and Java. ... Python is also very famous for its simple programming syntax, code readability and English-like commands that make coding in Python lot easier and efficient... and there are some Top reason to learn Python.
Data science.
Scientific and mathematical computing.
Web development.
Finance and trading.
System automation and administration.
Computer graphics.
Basic game development.
Security and penetration testing.
Why Use Python for AI and Machine Learning?
Machine learning and artificial intelligence-based projects are obviously what the future holds. We want better personalization, smarter recommendations, and improved search functionality. Our apps can see, hear, and respond – that’s what artificial intelligence (AI) has brought, enhancing the user experience and creating value across many industries.
What makes Python the best programming language for machine learning and the best programming language for AI?
AI projects differ from traditional software projects. The differences lie in the technology stack, the skills required for an AI-based project, and the necessity of deep research. To implement your AI aspirations, you should use a programming language that is stable, flexible, and has tools available. Python offers all of this, which is why we see lots of Python AI projects today.
From development to deployment and maintenance, Python helps developers be productive and confident about the software they’re building. Benefits that make Python the best fit for machine learning and AI-based projects include simplicity and consistency, access to great libraries and frameworks for AI and machine learning (ML), flexibility, platform independence, and a wide community. These add to the overall popularity of the language.
Simple and consistent
- Python offers concise and readable code. While complex algorithms and versatile workflows stand behind machine learning and AI, Python’s simplicity allows developers to write reliable systems. Developers get to put all their effort into solving an ML problem instead of focusing on the technical nuances of the language.
- Additionally, Python is appealing to many developers as it’s easy to learn. Python code is understandable by humans, which makes it easier to build models for machine learning.
- Many programmers say that Python is more intuitive than other programming languages. Others point out the many frameworks, libraries, and extensions that simplify the implementation of different functionalities.
- It’s generally accepted that Python is suitable for collaborative implementation when multiple developers are involved.
- Since Python is a general-purpose language, it can do a set of complex machine learning tasks and enable you to build prototypes quickly that allow you to test your product for machine learning purposes.
Extensive selection of libraries and frameworks
Implementing AI and ML algorithms can be tricky and requires a lot of time. It’s vital to have a well-structured and well-tested environment to enable developers to come up with the best coding solutions.
To reduce development time, programmers turn to a number of Python frameworks and libraries. A software library is pre-written code that developers use to solve common programming tasks. Python, with its rich technology stack, has an extensive set of libraries for artificial intelligence and machine learning. Here are some of them:
- Keras, TensorFlow, and Scikit-learn for machine learning
- NumPy for high-performance scientific computing and data analysis
- SciPy for advanced computing
- Pandas for general-purpose data analysis
- Seaborn for data visualization
Scikit-learn features various classification, regression, and clustering algorithms, including support vector machines, random forests, gradient boosting, k-means, and DBSCAN, and is designed to work with the Python numerical and scientific libraries NumPy and SciPy.
With these solutions, you can develop your product faster. Your development team won’t have to reinvent the wheel and can use an existing library to implement necessary features.
Platform independence
- Platform independence refers to a programming language or framework allowing developers to implement things on one machine and use them on another machine without any (or with only minimal) changes.
- One key to Python’s popularity is that it’s a platform independent language. Python is supported by many platforms including Linux, Windows, and macOS.
- Python code can be used to create standalone executable programs for most common operating systems, which means that Python software can be easily distributed and used on those operating systems without a Python interpreter.
What’s more, developers usually use services such as Google or Amazon for their computing needs. However, you can often find companies and data scientists who use their own machines with powerful Graphics Processing Units (GPUs) to train their ML models. And the fact that Python is platform independent makes this training a lot cheaper and easier.
Great community and popularity
- In the Developer Survey 2018 by Stack Overflow, Python was among the top 10 most popular programming languages, which ultimately means that you can find and ф a development company with the necessary skill set to build your AI-based project.
- If you look closely at the image below, you’ll see that Python is the language that people Google more than any other.Online repositories contain over 140,000 custom-built Python software packages. Scientific Python packages such as Numpy, Scipy, and Matplotlib can be installed in a program running on Python.
- These packages cater to machine learning and help developers detect patterns in big sets of data. Python is so reliable that Google uses it for crawling web pages, Pixar uses it for producing movies, and Spotify uses it for recommending songs.
- It’s a well-known fact that the Python AI community has grown across the globe. There are Python forums and an active exchange of experience related to machine learning solutions. For any task you may have, the chance is pretty high that someone else out there has dealt with the same problem.
- You can find advice and guidance from developers. You won’t be alone and are sure to find the best solution to your specific needs if you turn to the Python community.
