We will go to provide you learn Python from A to Z in 50 days. On each day we’ll focus on a certain part of the Python language, but we’ll build upon what we’ve learned the previous days so it should all make sense if you follow along carefully 🙂 We’ll be covering all the basics, such as variables, lists, dictionaries and so on, but we’ll also be talking about functions, classes and even OOP – Object Oriented Programming!
Introduction to Python
Python is a powerful high-level programming language. It has many features that make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.
Python’s simple, easy-to-learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.
The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. In this course of 50 days you will learn the following modules.
Data structures
Knowing what sort of data you’re trying to work with is crucial for many parts of programming. For example, data structures such as lists, dictionaries and tuples are part of Python’s standard library and are extremely useful for storing specific sorts of information. In python first of all we study data structure and its types like Numeric Data Types in Python.
Control structures
Our next module for study is Control structures. Control structures are languages feature that allows a programmer to specify instructions that must or must not run in order for other instructions to execute.
In Python, we have two categories of control structures: flow-control structures and looping structures. Today, we’re going talk about flow-control structures; specifically, if/elif/else statements, for loops and while loops. Let’s dive in!
Functions in Python
After the Control structure our next module for study is function in python. In order to make programming more human, Python has functions. Functions are a set of codes that carry out a single action.
Function codes could be anything – for example a function might ask for some data and then do something with it (add it together, subtract it etc) or work out whether a number is prime or not.
In Python you can even create your own functions so you can keep on doing things exactly how you want them! There are 3 types of functions: Built-in: Functions that come as part of your program eg len() or input(). Modules : These have been imported into your program eg time and random. User-defined : Made by you; see above!
Advanced data structures
After completing the function in python over next module will be advance data structure which make you the most perfect programmer. The object-oriented nature of Python allows us to create some powerful and useful data structures.
These include lists, tuples, and dictionaries. In addition, Python includes tools for working with sets and strings. Some other ways that we can group our data include stacks, queues, heaps (priority queues), deques (double ended queues), maps (dictionaries) or graphs.
This is a bit of an advanced topic, but it’s worth pointing out since it comes up frequently as we start building larger systems. Depending on what you want to accomplish using your code will help you figure out which data structure would be best suited for your purposes. Each structure has its own strengths and weaknesses – so choosing an appropriate tool for your situation is key to writing good code!
Customizing Python
You also study customizing Python. There are many ways you can customize Python. For example, you can change your shell prompt or manage an army of virtualenv environments.
Additionally, some editors, like Sublime Text and Visual Studio Code, provide Python extensions for additional customization options. Regardless of which approach you choose, I suggest that your development environment be highly customized because it makes all aspects of software development much easier.
However, if you choose not to customize your environment, then at least make sure that you’re using a text editor and shell that are natively compatible with Python (either VI/VIM or Emacs) so that all of your other tools will work seamlessly with it.
Learn python from A to Z in 50 days
Web development with Python
After study all the basic fucntion and operation we will study web development in Python. Python is a flexible and powerful language, which can be used for web development as well. It is an ideal choice for website back-end programming as. It combines efficient high-level data structures and tools with very clear syntax. Additionally, Python’s large standard library has everything you need for common web programming tasks such as handling URLs, cookies, sessions or XML Http Requests. If you want to use Python for building powerful and efficient websites with clean code – including popular frameworks like Django or Flask – then you’re at right place!
Advanced web development with Python
When we study web development with python. Then we will move to advance web development. After studying the basic web development course in python we will move to advance level. We will give you full and appropriate training in 50 days.
After completion of 50 days course you will become a python developer.
