Python is a popular general-purpose programming language that can be used for a wide variety of applications. It includes high-level data structures, dynamic typing, dynamic binding, and many more features that make it as useful for complex application development as it is for scripting or “glue code” that connects components together. It can also be extended to make system calls to almost all operating systems and to run code written in C or C++. Due to its ubiquity and ability to run on nearly every system architecture, Python is a universal language found in a variety of different applications.
Those new to programming can benefit from Python’s high level of abstraction. It is highly interactive and known for its “strong opinions” around specific syntax (including whitespace). Python, like other high-level languages, has a garbage collection process to manage memory or delete unused resources. A user can receive instant feedback from the interpreter by typing python on the command line or by using projects like JupyterLab if they want a browser-based development experience. Many users also appreciate that Python has a strict syntax enforced by the compiler, making it easy to have a single “right way” to write a program.
Many organizations are Python users. Some of the most vocal and best-known Python-using companies include:
•Mozilla, best known for Firefox, says it has over “230k lines of code” written in Python.
•Google shares its internal Python training.
•Microsoft promotes Python development with its IDE, Visual Studio Code.
•Netflix shares its extensive use of Python for everything from regional failover monitoring software to data science.
•Uber says it uses Jupyter Notebook and IPython to share data.
•Reddit is largely written in Python and shares the source code on GitHub.
•Dropbox has been a public advocate for Python 3 in its infrastructure.
•Slack, Digital Ocean, Lyft, Sauce Labs, and Fastly all mention using Python in an Increment article.
•Many financial firms, such as CapitalOne, Bloomberg, and JPMorgan, recruit Python developers.
In This Course, We Are Going To Work On 25 Real World Projects Listed Below:
Project-1: Image Editor Application With OpenCV And Tkinter
Project-2: Brand Identification Game With Tkinter And Sqlite3
Project-3: Transaction Application With Tkinter And Sqlite3
Project-4: Learning Management System With Django
Project-5: Create A News Portal With Django
Project-6: Create A Student Portal With Django
Project-7: Productivity Tracker With Django And Plotly
Project-8: Create A Study Group With Django
Project-9: Building Crop Guide Application with PyQt5, SQLite
Project-10: Building Password Manager Application With PyQt5, SQLite
Project-11: Create A News Application With Python
Project-12: Create A Guide Application With Python
Project-13: Building The Chef Web Application with Django, Python
Project-14: Syllogism-Rules of Inference Solver Web Application
Project-15: Building Vision Web Application with Django, Python
Project-16: Building Budget Planner Application With Python
Project-17: Tic Tac Toe Game
Project-18: Random Password Generator Website using Django
Project-19: Building Personal Portfolio Website Using Django
Project-20: Todo List Website For Multiple Users
Project-21: Crypto Coin Planner Gui Application
Project-22: Your Own Twitter Bot -python, request, API, deployment, tweepy
Project-23: Create A Python Dictionary Using python, Tkinter, JSON
Project-24: Egg-Catcher Game using python
Project-25: Personal Routine Tracker Application using python
Project-26:Building Screen -Pet using Tkinter & Canvas
Project-27:Building Caterpillar Game Using Turtle and Python
Project-28:Building Hangman Game Using Python
Project-29:Developing our own Smart Calculator Using Python and Tkinter
Project-30:Image based steganography Using Python and pillows
