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Free Packages in Python Course

Name: Packages in Python
Rating: 4.34 (577 reviews)

Packages in Python

4.34 Beginner level 1.5 learning hrs 8.1K+ Learners

Learn packages in python from basics in this free online training. Packages in python course is taught hands-on by experts. Learn basics of programming and packages in tensorflow, keras, spacy in python,in details with example.

Instructor:

Ms. Sampriti Chatterjee

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Skills you will gain

Programming Fundamentals

Python Introduction

Packages in Python

Key Highlights

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About this course

In this course, you will learn about the top 20 packages present in python. You will start this course by learning the basic concepts of programming. Then, moving ahead you will get the idea about different types of packages present in python such as Numpy, Pandas, Matplotlib, Seaborn, Bokeh, Plotly, Requests, Scikit Learn, XGBoost/LightGBM/Catboost, Tensorflow, Keras, NLTK, spaCy, Gensim, Scrapy, Statsmodels, OpenCV, Pillow, PyTorch and SciPy. You will be knowing brief description of each packages.

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Course outline

Introduction to Python

This module starts by briefly introducing Python programming, and you will go through its installation process and some essential hands-on examples.

Packages - Numpy, Pandas, Matplotlib, Seaborn

Packages - Scrapy, OpenCV, PyTorch, SciPy

Basics of Programming

Packages - Tensorflow, Keras, SpaCy

Get access to the complete curriculum once you enroll in the course

View Full Course

Packages in Python

4.34

1.5 Hours

Beginner

8.1K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

4.6

4.89

4.94

4.7

Learner reviews of the Free Courses

4.34

★★★★

★ ☆

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64%

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☆

22%

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Ashvini Jalindar Kale

5.0

★★★★ ★

India

“Explored key Python packages with practical applications and clear examples.”

The course on Python packages was highly informative and practical. I enjoyed learning about powerful libraries like Pandas, NumPy, Matplotlib, and Seaborn, which are essential for data analysis and visualization. The hands-on exercises made it easier to grasp concepts, and the explanations of real-world use cases added great value. The well-organized content and step-by-step approach made learning seamless and enjoyable.

Bhanu priya Gorrla

4.0

★★★ ★ ☆

India

“Enhance Skills with Great Learning: A Comprehensive Platform”

Great Learning provides a comprehensive and engaging platform for enhancing skills and knowledge. The course content is well-structured, with real-world applications that make learning practical and relevant. The instructors are knowledgeable, and the support system, including mentors and community forums, is excellent. It’s a great resource for both beginners and professionals looking to upgrade their skills. However, there could be more interactive elements to make the experience even more engaging. Overall, it's a valuable learning platform that truly supports career growth.

Abi Shyamala

5.0

★★★★ ★

India

“"I really enjoyed the online course. I thought it was well planned and layed out, easy for me to follow”

"I really enjoyed the online course. I thought it was well planned and layed out, easy for me to follow

Chenreddy Chandu praksah reddy

5.0

★★★★ ★

India

“The material was well-structured and covered a wide range of topics in-depth. I particularly appreciated the balance between theory and practical”

Overall, I found the course to be very informative and enjoyable. It has significantly improved my skills and confidence in the subject. I would highly recommend it to others looking to deepen their knowledge.

ADITHYA VADDADI

4.0

★★★ ★ ☆

India

“Clear and Practical Guidance for Complex Topics”

This course offers clear, concise, and practical guidance, making complex topics easy to understand. It’s a great resource for anyone looking to deepen their knowledge in programming, data science, and machine learning!

Anupuri Sowmya

5.0

★★★★ ★

India

“"Great and insightful learning experience"”

I enjoyed the clear explanations and practical examples, which made complex topics easier to grasp. The hands-on approach was engaging and helped deepen my understanding.

Nisha Nisha

5.0

★★★★ ★

“ Great Learning Experience with Practical Applications”

If you're looking to get the most out of your learning experience, here are a few tips to enhance your practical applications:

DS-26 Vaibhav Kumbhar

5.0

★★★★ ★

India

“This is very useful course for learning SQL and Everything thing was very good”

NumPy, short for Numerical Python, is a powerful library in Python used for scientific computing and data manipulation. It provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays efficiently. NumPy is the foundation for many other data science libraries in Python, such as pandas and SciPy, due to its ability to perform complex mathematical operations with high performance. It allows for element-wise operations, broadcasting, and linear algebra functions, making it an essential tool for tasks ranging from basic data manipulation to advanced numerical computations. Its integration with other Python libraries makes it a versatile and indispensable tool for data scientists and engineers.

sepehr ghajar

5.0

★★★★ ★

“Helpful Presentation on Python Packages”

Thank you for the teacher's presentation about Python packages. It is very helpful.

suresrujana37@gmail.com

5.0

★★★★ ★

India

“Knowledge Gained Platform for Student Success”

This platform is very useful for gaining knowledge. It helps to increase our skills. Even if a student is weak in their knowledge and skills, they can gain better skills through this.

What our learners enjoyed the most

Skill & tools

66%

66% of learners found all the desired skills & tools

Our course instructor

Ms. Sampriti Chatterjee

IT & Software Expert

951.3K+ Learners

75 Courses

Sampriti has been working in the field of data science and has expertise in languages such as Python, SQL, and Java. She also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow 2.0. She is been in the technical content side for the last few years.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What is a package in Python with an example?

A package is basically a directory with Python files and a file called init.py Therefore, there is a file named init. in every directory inside the Python path. It is considered a package by Python. It is possible to put several modules in one package.

How many packages are there in Python?

In the world, there are more than 200,000 Python packages (and that's just counting those on PyPI, the official Python Package Index).

Will I get a certificate after completing this Packages in Python free course?

Yes, you will get a certificate of completion for Packages in Python after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Packages in Python course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Packages in Python can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Packages in Python course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Packages in Python course?

Great Learning Academy provides this Packages in Python course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Packages in Python course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Packages in Python course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.

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