Best Python Tutorials - Learn with Examples

In this section we will cover the tutorials which will help you to learn Python from scratch through examples. You can follow these tutorials even if you don't have any prior experience in programming.

Popularity of Python

In PyPL popularity of programming language index, Python leads with market share of over 30%. This popularity index compares several programming languages by analyzing how often language tutorials are searched on Google.

Uses of Python

It is widely used as a high-level programming language for various purposes. Some of them are as follows -

Web / Dashboard Building
Advanced Analytics
Artificial Intelligence
Natural Language Processing
Basic and Descriptive Analytics
Web Scrapping
API Building

How to Install Python

There are two ways to download and install Python

Download Anaconda. It comes with Python software along with preinstalled popular libraries.
Download Python from its official website. You have to manually install libraries.

Recommended : Go for first option and download anaconda. It saves a lot of time in learning and coding Python

Python is an open source programming language. It means it is available for free and you don't need to purchase license for using it. You can also get future updates for free as open source developers contribute to the future development of Python.

It's a misconception that Python requires high-performance computers and laptops. Python works well even if you have old laptop with poor configuration like 4GB RAM and i3 processor. If you need to handle large datasets, you would obviously need more system memory with powerful processor. In nutshell, laptop with not-so-high configuration is enough for practice python programming but needs high-performance system for memory intensive operations.

Python is used for a variety of purposes ranging from API building to Artificial Intelligence. You should focus on basics of Python and then you can jump to advanced programming concepts. There are several packages in Python for Data Science which are easy to use but you need to have prior knowledge of statistics. If you already possess intermediate knowledge of statistics, these packages would be a piece of cake for you. Make your schedule and follow it with no cheat. You can learn basic of python in a week if you spend 8 hours per day with a lot of practice. Once done, start using different statistics algorithms using Python. You can make use of the publicly available datasets for practice

Python is open-source only and available for free. The only difference you may see is different editors for coding Python. Some of the popular ones are Spyder, Microsoft Visual Studio, PyCharm etc. Some of the popular notebooks are Jupyter, Google Colab, Azure Notebooks. They ease writing codes with beautiful interface but programming and concepts of Python are exactly same everywhere so you should focus on learning Python rather than the different editors. You will be asked about programming questions in interviews. Interviewers don't care much about editor you use.

25+ Python Tutorials for Data Analysis

Below is a list of Python tutorials for data analysis. Follow them in order to learn python with real-world problem statements and practical use cases. These tutorials would help you to gain proficiency in handling data with Python.

Top Data Science and AI with Python Tutorials

The following tutorials are for learning advanced analytics and data science with Python. It ranges from basic statistics to advanced concepts of machine learning.