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Python courses

833 Courses

California Institute of Technology Coursera

Detect Fake News in Python with Tensorflow

Join our comprehensive online course, "Detect Fake News in Python with TensorFlow," offered through Coursera. This course dives deep into the rampant issue of "fake news," which refers to news stories lacking factual evidence or based on outright falsehoods. Such stories can range from harmful propaganda to click-bait articles written for financial.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Beginner Coding Projects in : Python | JavaScript | Java

Title: Beginner Coding Projects in Python, JavaScript, & Java Description: Dive into coding with this comprehensive workshop from Udemy, focusing on beginner projects across Python, JavaScript, and Java. Perfect for those starting their programming journey! University: N/A Provider: Udemy Categories: Python Courses, Programming Courses, JavaScript.
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provider Udemy
pricing Paid Course
duration 1 hour 55 minutes
sessions On-Demand
California Institute of Technology Udemy

The Ultimate Beginners Guide to Python Programming

Event Title: The Ultimate Beginners Guide to Python Programming Description: Dive into the fundamentals of Python programming with this comprehensive guide designed for beginners. Offered by Udemy, this course provides step-by-step examples and practical exercises to help you master Python quickly and easily. Provider: Udemy Categories: Python Cour.
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provider Udemy
pricing Free Online Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udemy

PyTorch for Deep Learning Bootcamp

Event Title: PyTorch for Deep Learning Bootcamp Description: Embark on your journey to becoming a Deep Learning Engineer with our intensive bootcamp on PyTorch. This comprehensive course, provided by Udemy, is designed for both beginners and experienced professionals who want to deepen their knowledge of deep learning frameworks. By the end of the.
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provider Udemy
pricing Paid Course
duration 2 days 4 hours 14 minutes
sessions On-Demand
California Institute of Technology DataCamp

Introduction to Deep Learning in Python

Title: Introduction to Deep Learning in Python Description: Embark on your journey through the dynamic field of deep learning in this comprehensive course. You'll start by understanding the core principles of neural networks, and gradually move onto building your own deep learning models utilizing Keras 2.0, the newest version of the powerful libra.
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provider DataCamp
pricing Free Trial Available
duration 4 hours
sessions On-Demand
California Institute of Technology DataCamp

Statistical Simulation in Python

Title: Statistical Simulation in Python Description: Dive into the fascinating world of statistical simulations with our comprehensive course offered by DataCamp. This course is meticulously designed for learners to master the use of simulations in generating and analyzing data across various probability distributions, employing the powerful NumPy.
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provider DataCamp
pricing Free Trial Available
duration 4 hours
sessions On-Demand
California Institute of Technology LinkedIn Learning

Applied Machine Learning: Foundations

Event Title: Applied Machine Learning: Foundations Description: Unlock the power of machine learning and generate impactful insights across various industries. This comprehensive course provided by LinkedIn Learning equips you with the essential skills to solve a wide array of machine learning challenges. From mastering Python coding to advanced te.
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provider LinkedIn Learning
pricing Free Trial Available
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udemy

Python Mega Course : Go Beginner to Expert in Python3

Python Mega Course: Go Beginner to Expert in Python3
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provider Udemy
pricing Paid Course
duration 11 hours 5 minutes
sessions On-Demand
California Institute of Technology Udemy

Complete Linear Regression Analysis in Python

Complete Linear Regression Analysis in Python Dive deep into Linear Regression techniques in Python, covering Simple Regression, Multiple Regression, Ridge, Lasso, and Subset Selection. This comprehensive course, offered by Udemy and perfect for professionals and enthusiasts alike, falls under key categories such as Python Courses, Linear Regressio.
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provider Udemy
pricing Paid Course
duration 7 hours 35 minutes
sessions On-Demand
California Institute of Technology Udemy

Machine Learning & Deep Learning in Python & R

Machine Learning & Deep Learning in Python & R Delve into the realms of Machine Learning and Deep Learning with this comprehensive course provided by Udemy. Master essential techniques such as Regression, Decision Trees, Support Vector Machines (SVM), Neural Networks, Convolutional Neural Networks (CNN), and Time Series Forecasting using both Pytho.
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provider Udemy
pricing Paid Course
duration 1 day 9 hours 12 minutes
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!