In this course you will learn all of python you need for being a good python developer.
you will begin with learning that how you can have your best editor to work with.
After that in first section you will learn all the basics of python like data-types, loops, conditionals, operators, file-handling, time-date, libraries and a lot. In addition you will also apply all you have learn in section-1 on practical working programs and games.
Second section is about data-visualisation in which you will learn what is data science and how things work in that, and you will learn libraries like Matplotlib, seaborn, pandas, poorly and cufflinks for data visualisation and pandas, numpy for data analysis. you will also learn geo-plotting for visualising globe data. In addition you will built a large number of beautyfull plots and even 3-D plots to practice your skills. Then we will move to the project part of section-2 in which you will learn to create automatic plotter, base maps and big-data analysis project that actually analyse more than 60 million+ data.
Third section is all about graphical and user interface. In which you will learn that how the desktop applications are made, you will learn about tkinter to built windows applications, then you will learn about database that how you can store your program data and where to store. After that we will move to a very interesting concept turtle graphics where you will learn how to make moving graphical things.Then this section is full of projects with actually working games and database applications. also project that will make you learn how to use keys to move your objects in games and in applications.
This is not the end of the course time to time new data will be added to it.
Who this course is for:
Requirements:
What you'll learn:
1.Introduction to this course
FREE PREVIEW2.Learning by building
3.What's inside the course
4.What's inside section-3
5.Why learn python
6.Any doubt and types of program
5.Introduction to this chapter
6.Installing python
7.Installing Atom on Mac
8.Installing Anaconda on Mac
9.Editor's link
10.Introduction to this module
11.Installing python
12.Installing Atom on windows
13.atom setup
14.Installing anaconda on windows
15.Editor's link
16.Introduction to this module
17.Variables and constants
18.Numbers
19.Operation on numbers
20.Dynamic typing and restrictions on data types
21.Casting
22.Strings
23.Methods and strings
24.Indexing and slicing
25.String formatting
26.List
27.Tuples
28.Dictionary
29.Boolean
30.Data types notes
31.Introduction to this module
32.Assignment operators
33.Comparision operators
34.Arithmetic operators
35.Identity and membership operators
36.Logical operators
37.Bitwise operators
38.Notes
39.Introduction to this module
40.Working on Atom
41.Working on jupyter notebooks
42.How to learn programming
43.Introduction to this module
44.User input
45.Convertors
46.Concept of function
47.Functions and user input
48.Parameters
49.Convertors using functions
50.Modifying function
51.Methods
52.Function notes
53.Method notes
54.Introduction to this module
55.Types of errors
56.Syntex error
57.Indentation error
58.Type error
59.Name error
60.Zero division error
61.Index error
62.Attribute and runtime error
63.Handling errors and the internet
64.Notes
65.Introduction to this module
66.if-else condition
67.el-if condition
68.Little fun with the conditionals
69.Multiple conditions
70.Nested conditions
71.Notes
72.Introduction to this module
73.For loop
74.Loops and user input
75.Looping through a string
76.While loop
77.Break statement
78.Continue statement
79.Else in for loop
80.Nested loops
81.Range() function
82.Notes
83.Introduction to this module
84.Python dates
85.Date output and date objects
86.strf time() method
87.Notes
88.Introduction to this module
89.Opening and reading the file
90.Writing in a file
91.Appending
92.Different methods
93.Notes
94.Introduction to this module
95.Libraries
96.Modules
97.Json files
98.Notes
99.Introduction to this module
100.How to solve the problem
101.Dice overview
102.Algorithm
103.How to get the number
104.What about the dice
105.Roll it again
106.Dice stimulator
107.Code for the project
108.Introduction to this module
109.Dictionary overview
110.Where to get the data
111.Loading the data in our program
112.Main logic
113.What if the word doesn't exist
114.Pugger found some errors
115.Pugger said what about the interface
116.It's all about the interface
117.Pugger have another issue
118.How to get the close matches
119.Upgrading the program to get_close_matches
120.Dictionary
121.Json file and code for this project
122.Introduction to this module
123.Hangmen overview
124.Algorithm for hangman
125.User interface
126.Creating the word's list
127.Rules and regulation
128.Main logic
129.Hanging the man
130.Our third program
131.Code for this project
132.Introduction to this module
133.What is AI
134.Project overview
135.Understanding problem and writing algorithm
136.Designing the board
137.Space on board
138.How to get Winner
139.Player move
140.AI compter move
141.Random function
142.Defining the main logic
143.Preparing interface
144.TicTacToe
145.Code for this project
Python for datascience
Dev Nirwal
Instructor
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