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Python courses

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California Institute of Technology Udemy

Python Numpy: Machine Learning & Data Science Course

Unlock the potential of machine learning and data science with our comprehensive course on Python Numpy, available on Udemy. This specialized course is designed to help you master the fundamentals of Numpy Python, an essential tool for manipulating large datasets and performing complex mathematical operations efficiently. Whether you are new to dat.
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provider Udemy
pricing Paid Course
duration 9 hours
sessions On-Demand
California Institute of Technology Udemy

Python Programming: The Complete Python Bootcamp 2024

Event Title: Python Programming: The Complete Python Bootcamp 2024 Description: Dive deep into Python programming with our comprehensive bootcamp. Master data science and visualization, automation, and techniques for Excel and SQL integration. Learn effective web scraping with Python in this entirely hands-on course. Perfect for beginners and advan.
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provider Udemy
pricing Paid Course
duration 1 day 2 hours 40 minutes
sessions On-Demand
California Institute of Technology Udemy

Practical Reinforcement Learning using Python - 8 AI Agents

Event Title: Practical Reinforcement Learning using Python - 8 AI Agents Description: Dive deep into the world of AI with our Practical Reinforcement Learning course using Python! Learn to apply state-of-the-art reinforcement learning algorithms across a variety of environments such as Flappy Bird, Mario, stock market simulations, and more. This co.
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provider Udemy
pricing Paid Course
duration 5 hours 3 minutes
sessions On-Demand
California Institute of Technology Udemy

Customer Analytics in Python

Title: Customer Analytics in Python Description: Dive into the realms of Beginner and Advanced Customer Analytics with our comprehensive course on Udemy. Master techniques such as PCA, K-means Clustering, Elasticity Modeling, and Deep Neural Networks to leverage Python for powerful customer insights. University: Provider: Udemy Categories: Python C.
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provider Udemy
pricing Paid Course
duration 5 hours 11 minutes
sessions On-Demand
California Institute of Technology Udemy

Data Science Real World Projects in Python

Join our Data Science Real World Projects in Python course on Udemy and gain hands-on experience in AI, ML, NLP, and Time Series Analysis. Develop comprehensive projects that will boost your skills and enhance your resume to secure a position as a Data Scientist or ML Engineer. Explore categories including Artificial Intelligence, Python Programmin.
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provider Udemy
pricing Paid Course
duration 11 hours
sessions On-Demand
California Institute of Technology Udemy

Basic & Advanced Python | Numpy, Pandas, Seaborn, Matplotlib

Title: Basic & Advanced Python | Numpy, Pandas, Seaborn, Matplotlib Description: Master Python programming in a cloud development environment through an intensive course provided by Udemy. This course covers key Python libraries including Numpy, Pandas, Seaborn, and Matplotlib, essential for data analysis and visualization. University: Not Appl.
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provider Udemy
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udemy

Python Web Development with Django and Bootstrap, HTML, CSS

Title: Python Web Development with Django, Bootstrap, HTML, CSS Description: Master the art of building responsive websites using Django, Python, HTML, CSS, and Bootstrap 4. Learn how to integrate these technologies seamlessly to create dynamic and aesthetically pleasing websites that perform exceptionally across all devices. Provider: Udemy Catego.
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provider Udemy
pricing Paid Course
duration 21 hours
sessions On-Demand
California Institute of Technology Udemy

Deep Learning for algorithmic trading using Python

Join our comprehensive course, "Deep Learning for Algorithmic Trading Using Python," available on Udemy and designed to integrate artificial intelligence with financial trading strategies. Discover the power of backtesting and optimization in algorithmic trading specifically tailored for MetaTrader 5. This course includes a ready-to-use trading bot.
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provider Udemy
pricing Paid Course
duration 6 hours
sessions On-Demand
California Institute of Technology LinkedIn Learning  Path

Become a Machine Learning Engineer

Title: Become a Machine Learning Engineer Description: Embark on a transformative journey with this comprehensive learning path designed for those aiming to advance their career in machine learning. Begin with an introduction to the fundamentals of AI and machine learning, before diving into practical exercises where you'll build machine learning a.
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provider LinkedIn Learning  Path
pricing Free Trial Available
California Institute of Technology Udemy

Optimization with Python: Solve Operations Research Problems

Optimization with Python: Solve Operations Research Problems Unlock the power of Python to solve complex optimization challenges in operations research. Master the use of advanced tools such as CPLEX, Gurobi, and Pyomo, and explore techniques in linear programming, nonlinear programming, and evolutionary algorithms. This comprehensive course offere.
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provider Udemy
pricing Paid Course
duration 13 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!