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Python courses

702 Courses

California Institute of Technology Coursera

Creating a Wordcloud using NLP and TF-IDF in Python

Unlock the power of text analysis and visualization by joining our project-based course on Coursera, where you'll learn to craft a professional wordcloud using Python. This course is designed to guide you through creating a visually appealing wordcloud from a collection of Christmas recipes. By leveraging an open-source dataset, you'll dive into th.
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provider Coursera
pricing Paid Course
duration 2 hours
sessions On-Demand
California Institute of Technology Udemy

Natural Language Processing Real World Use-cases in Python

Discover the power of Natural Language Processing (NLP) through practical applications in our comprehensive course, "Natural Language Processing Real-World Use-cases in Python". Offered by Udemy, this course dives deep into how you can leverage tools like NLTK, scikit-learn, and sentiment analysis techniques to address and solve real-world NLP chal.
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provider Udemy
pricing Paid Course
duration 10 hours 23 minutes
sessions On-Demand
California Institute of Technology Coursera

Deploy an NLP Text Generator: Bart Simpson Chalkboard Gag

Welcome to the "Deploy an NLP Text Generator: Bart Simpson Chalkboard Gag" guided project, offered through Coursera. This unique project focuses on the use of natural language processing (NLP) techniques for text generation, a pioneering field exemplified by features like Gmail's sentence autocomplete. Specifically, participants will have the oppor.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Codecademy

Learn the Watson API

Title: Master the Watson API: Unveil Shared Twitter User Traits Description: Dive into the world of AI by learning how to utilize the IBM Personality Insights API through Codecademy's specialized course. This unique educational opportunity allows participants to explore the synergy between two Twitter users by analyzing their shared traits, leverag.
provider Codecademy
pricing Free Trial Available
sessions On-Demand
California Institute of Technology Udemy

Natural Language Processing, Deploy on Cloud(AWS) [Hindi]

Unlock the potential of Natural Language Processing (NLP) with a focus on deploying on AWS Cloud, tailored specifically for Hindi speaking students. This comprehensive course, available on Udemy, dives into the fundamentals and advanced concepts of NLP, Machine Learning, creating spam filters, and conducting sentiment analysis using Python. Whether.
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provider Udemy
pricing Paid Course
duration 8 hours
sessions On-Demand
California Institute of Technology Udemy

Natural Language Processing: NLP With Transformers in Python

Embark on a journey into the future of text analysis with "Natural Language Processing: NLP With Transformers in Python," offered exclusively on Udemy. This comprehensive course is meticulously designed to introduce learners to cutting-edge techniques in natural language processing (NLP) utilizing transformer models. Whether your interest lies in s.
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provider Udemy
pricing Paid Course
duration 11 hours 31 minutes
sessions On-Demand
California Institute of Technology LinkedIn Learning

NLP with Python for Machine Learning Essential Training

Unlock the power of language with NLP with Python for Machine Learning Essential Training, offered through LinkedIn Learning. This detailed course dives deep into the realm of Natural Language Processing (NLP), guiding you through the intricacies of advanced data cleaning, vectorization techniques, and the construction of machine learning classifie.
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provider LinkedIn Learning
pricing Free Trial Available
duration 4-5 hours
sessions On-Demand
California Institute of Technology LinkedIn Learning

Text Analytics and Predictions with Python Essential Training

Enhance your skills in text analytics and predictive modeling with our comprehensive course, brought to you by LinkedIn Learning. Dive deep into the world of Python to master techniques for analyzing text data, and apply machine learning along with natural language processing (NLP) to extract meaningful insights. Whether you're interested in sentim.
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provider LinkedIn Learning
pricing Free Trial Available
sessions On-Demand
California Institute of Technology Coursera

Text Generation with Markov Chains in Python

Embark on a journey through the fascinating world of stochastic processes with our Text Generation with Markov Chains in Python course, offered by Coursera. Dive deep into the principles of Markov chains, a cornerstone method in probabilistic modeling, and harness its power to create a model of an entire book's text. This hands-on, project-based co.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Computer Vision with Python

Embark on a journey to master the art of Computer Vision using Python with our comprehensive course, now available on Udemy! This course is designed for individuals keen on exploring the dynamic field of computer vision. Delve into the world of OpenCV and unlock the secrets behind processing and interpreting visual data with Python. Whether you're.
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provider Udemy
pricing Paid Course
duration 6 hours
sessions On-Demand

Your speed of mastering the profession and success in this matter largely depends on which programming language you start learning first. How to choose it? Let's answer using a python ai course as an example.

What criteria should you use to choose your first language?

For learning to progress quickly, the programming language must have a simple syntax. It is desirable that it be high-level and flexible - then you can experiment with different options for solving the same problem.

Of course, it cannot be said that the choice of the first language always determines how successful the student’s future career path will be. But it can have a powerful impact on professional development as well as self-learning skills.

Even if we talk about spoken languages, you’ve probably heard the statement that the language a person speaks determines his thinking: “the number of languages you know, the number of times you are human.” This statement is also relevant for programming. Note that this skill is often described as an effective tool for developing thinking that teaches people to solve problems well.

When choosing the first language, the following criteria are also taken into account:

It’s difficult to name an ideal programming language to learn as a first language, but Python definitely meets most of the listed criteria, which means it can be safely recommended to beginners.

Scope of Python

Scripting languages are rapidly gaining popularity these days. They are already used to write software even more often than traditional system ones. Python is compatible with all major operating systems and platforms. You will learn this information at a python course. It is actively used in science, web development, Machine Learning, game creation, complex visual effects, and more.

Community, technical documentation

The Python language has gathered a large community of developers from all over the world who are engaged not only in its study, but also in its development. The documentation base related to Python is extensive and well-developed, so even a beginner will not have much difficulty finding answers to almost all questions that arise. He also has enough standard libraries for all occasions, and there are even more open-source repositories.

Simplicity

Because Python has a simple syntax, its code is easy to read and understand. Statements are terminated by the end of the line, and the block structure is determined by indentation.

Among the features of Python, it is worth highlighting the use of indentations that delimit blocks of code. Correct formatting is ensured by the interpreter, which prevents the creation of unreadable code. So if in other programming languages indentation is a “handwriting” and an art, then in Python it is one of the components of the syntax.

Python Strengths and Weaknesses

We have already noted above some of the advantages of a python certification course, now we propose to compare them with the disadvantages in order to objectively evaluate the language as the first one to learn.

Pluses

  1. Easy to learn.

  2. Laconic.

  3. Easy and understandable syntax.

  4. Interpretability.

  5. Wide scope of use.

  6. Demand.

  7. Dynamic typing.

  8. A large number of libraries.

  9. Lots of technical documentation and training materials.

  10. Cross-platform.

Minuses

  1. Slow program execution speed: Because dynamically typed languages execute code line by line, this makes it difficult to develop software that requires high performance. However, the programmer's productivity increases, which can be considered a kind of compensation.

  2. Programs written in Python require a lot of memory.

  3. Because there is no check during compilation, errors sometimes occur when executing the code. Because of this, very high-quality testing is required before production launch.

Conclusion

Python is a clear, easy-to-learn, universal, in-demand and promising language. Despite the presence of certain disadvantages, its advantages significantly outweigh all the disadvantages, especially when it comes to novice programmers. That's why a python online course from AI Eeducation is a great choice to start your IT career!