This post was last Updated on by Himanshu Tyagi to reflect the accuracy and up-to-date information on the page.
Hello guys; I am Himanshu Tyagi, a digital marketer who is learning how to program with Python. With CodeItBro, I often share my learning experience through blogs and tutorials. Being able to code is one of the essential skills that I believe everyone should possess as we are swiftly moving to the age of automation, machine learning, and artificial intelligence.
Python is an exciting language that opens a plethora of opportunities for everyone. Whether you are a student or a working professional with a non-technical background, learning Python is not tricky.
As a digital marketer, I believe that if I can code, I will attain magical superpowers such as automating tedious tasks, developing helpful web tools, building my web scraper, etc. However, I didn’t want to confine these superpowers just with me, so I started this blog to document my journey and share whatever I learned.
Today, we will see a brief introduction to the Python programming language and what type of stuff you can do with it. I am excited to invite you to join my journey. You can subscribe to our mailing list or connect with me on social media to get all the latest updates in this free Python programming course.
Introduction to Python
Python is a general-purpose, high-level programming language with applications ranging from web development to data science. Guido van Rossum created Python in 1991, and Python Software Foundation further developed it.
It is one of the most widely used programming languages in the industry. Python is easy to learn as it is dynamically typed, and its syntax is simple, which makes it look like you are writing code in English. Hence, Python code is more readable when compared with other programming languages such as C++, Java, C#, PHP, etc.
Few things to note about Python:
- It runs on all major platforms, including Windows, macOS, and Linux.
- The latest version of Python is 3.8.2. You can download and install it from here.
- Python is dynamically typed, so you don’t have to declare datatypes before declaring a variable.
- Python is case-sensitive.
- It uses new lines to execute a statement and indentations, using whitespace to define the scope of functions, classes, and loops.
Applications of Python
1. Web Development
Python supports various simple to complex web projects in various domains such as healthcare, education, social media networks, live streaming, and many others, including software testing, scripting, and generation.
There are many Python frameworks, such as Django, web2py, Pyramid, Flask, etc., that you can use to develop secure and scalable web applications.
Top companies using Python in their technology stack: Google, Spotify, Reddit, Instagram, Disqus, Mozilla, Yelp, etc.
2. Software Development
Python allows you to develop the following types of software:
- Audio/Video Applications – Many Python libraries, such as pyAudioAnalysis, can analyze audio content. Additionally, there are many frameworks like PyLivestream to stream live on one of the multiple streaming sites, including Facebook, Twitch, YouTube, Periscope, Vimeo, and more.
- Game Development – With Python, you can also get your hands dirty with game development. For developing games using Python, there are libraries and frameworks like Pygame, Cocos2d, Panda3D, Pyglet, etc. However, much work is yet to be done to improve game performance in Python.
- Desktop Applications – Interestingly, Python is also well suited for developing GUI desktop applications. Some popular Python libraries for developing desktop applications are Camelot, PyGTK, Kivy, etc.
- Console Applications – Applications that run on terminals are known as console applications. Python supports their development with libraries such as npyscreen, Python Prompt Kit, Auto-Suggestion, etc.
3. System Programming
System programming or Systems programming refers to the development of software used as a service by another software to interact with the underlying hardware. Python provides various modules to interact with the operating system, such as
- os
- platform
- subprocess
- shutils
- glob
- sys
4. Data Science
Python is a popular tool among the data science community as it is easy to learn and allows them to work collaboratively using Jupyter Notebook. Apart from that, Python can be easily integrated with other technologies, making it easier for end-to-end implementation of data science projects.
5. Machine Learning and Artificial Intelligence
Machine learning involves mathematics, optimization, probability, and statistics. Python makes it easier for data scientists and developers to do all these tasks quickly and robustly. Best of all, it ensures performance as Python is optimized for calculating complex mathematical expressions.
What will you learn in this free Python Programming course?
- Variables and Datatypes
- Operators
- Loops (If-else, While, and For)
- Typecasting.
- Arrays, Strings, Lists, Tuples, Dictionaries, and other Python data structures.
- String formatting
- Python modules and functions.
- Exceptional Handling
- File Handling
- Working with the SQL database.
- Regular Expressions.
- Object-Oriented Programming with Python
- A live project.
What will we build along the way? – Automating tedious tasks with Python scripting, web development using the Django framework, Data Analysis with Python, and training machine learning models.
So, subscribe to our mailing list to receive all the latest updates of this free Python programming course.
After covering these topics, I will move toward web development and begin Data Science with a Python module.
Let’s learn together and build a supportive community!
