Learn Python

Focused View

Vivek Berry

21:29:23

27 View

1 - Introduction

1 - installation on windows.mp4

06:52

2 - Print statement

2 - Print 1.mp4

01:08

3 - Print 2.mp4

01:14

3 - Python comments

4 - single line comment.mp4

04:28

5 - Multiline comment.mp4

03:45

6 - Triple quotes comment.mp4

01:02

4 - Python Identifiers

7 - Identifier.mp4

05:12

5 - Object refrences

8 - Object refrences.mp4

05:28

6 - Python Variables

9 - Variable 1.mp4

04:34

10 - Different types of variable.mp4

09:52

11 - Multiple assignment to variables.mp4

04:58

7 - Python Literals

12 - string literal.mp4

07:16

13 - Numeric literal.mp4

09:13

8 - Python Operators

14 - Arithmetic Operators.mp4

07:57

15 - Comparison operators.mp4

13:32

16 - Logical operators.mp4

06:19

17 - Membership operators.mp4

05:26

9 - If else statements

18 - If 1.mp4

07:03

19 - If 2.mp4

09:20

20 - If else 1.mp4

08:29

21 - If else 2.mp4

04:32

22 - Else if.mp4

11:53

23 - Else if 2.mp4

10:20

10 - Loops

24 - Loops explain.mp4

02:11

25 - For loop 1.mp4

11:58

26 - For loop 2.mp4

04:36

27 - For loop 3.mp4

05:17

28 - For loop 4.mp4

06:19

29 - Range 1.mp4

04:59

30 - Range 2.mp4

04:16

31 - While loop 1.mp4

05:22

32 - While loop 2.mp4

06:19

11 - Python Break

33 - Break 1.mp4

07:54

34 - Break 2.mp4

04:20

12 - Python Continue

35 - Continue.mp4

04:20

13 - Python Pass

36 - Pass.mp4

06:21

14 - Python Strings

37 - String 1.mp4

02:12

38 - String 2.mp4

04:39

39 - String 3.mp4

06:12

40 - String 4.mp4

09:21

41 - String 5.mp4

02:05

42 - String 6.mp4

10:42

15 - Python Lists

43 - List 1.mp4

04:43

44 - List 2.mp4

04:38

45 - List 3.mp4

08:46

46 - List 4.mp4

06:24

47 - List 5.mp4

07:29

16 - List Operator

48 - List operator 1.mp4

03:34

49 - List operator 2.mp4

04:09

50 - List operator 3.mp4

02:25

51 - List operator 4.mp4

05:30

17 - List Builtin Functions

52 - List Builtin function.mp4

07:52

18 - Python Tuples

53 - Tuple.mp4

02:37

54 - Tuple Example 1.mp4

14:08

55 - Tuple Example 2.mp4

16:22

56 - Tuple Example 3.mp4

09:06

57 - Tuple Slicing.mp4

16:17

58 - Tuple Repetition.mp4

05:16

19 - List vs Tuple

59 - List vs Tuple 1.mp4

04:22

60 - List vs Tuple 2.mp4

02:41

61 - List vs Tuple 3.mp4

11:08

62 - List vs Tuple 4.mp4

08:38

20 - Python Sets

63 - Set 1.mp4

06:42

64 - Set method.mp4

01:37

65 - Set Example 1.mp4

06:34

66 - Set Example 2.mp4

03:43

67 - Set Example 3.mp4

03:27

68 - Set add function.mp4

09:05

69 - Set update function.mp4

04:56

70 - Set discard method.mp4

06:50

71 - Set remove function.mp4

03:06

72 - Set clear method.mp4

03:31

21 - More on Python Sets

73 - Union of set.mp4

06:34

74 - Set union method.mp4

01:38

75 - Set union example.mp4

05:05

76 - Intersection of set.mp4

04:48

77 - Intersection of set 2.mp4

02:17

78 - Intersection of set 3.mp4

04:10

79 - Difference between the sets.mp4

07:50

80 - Symmetric difference of set.mp4

06:11

81 - Set comparisons.mp4

09:58

22 - Python Dictionary

82 - Dictionary.mp4

03:40

83 - Dictionary Example 1.mp4

11:55

84 - Dictionary Example 2.mp4

07:53

85 - Adding dictionary values.mp4

14:43

86 - Print new data.mp4

12:46

87 - Iterating dictionary.mp4

06:14

23 - Python Functions

88 - Function.mp4

08:16

89 - Calling a function.mp4

07:08

90 - Pass by reference vs value.mp4

11:40

91 - Default argument.mp4

08:52

92 - Function argument 2.mp4

09:16

93 - Function argument 3.mp4

08:36

94 - Return statement.mp4

09:46

95 - Anonymous function.mp4

10:22

96 - Scope and Lifetime of variables.mp4

07:17

24 - Python Builtin Functions

97 - abs.mp4

02:55

98 - all.mp4

03:35

99 - any.mp4

03:06

100 - ascii.mp4

05:17

101 - bin.mp4

02:07

102 - bool.mp4

01:40

103 - bytearray.mp4

02:01

104 - bytes.mp4

01:42

105 - callable.mp4

02:56

106 - chr.mp4

02:03

107 - compile.mp4

03:22

108 - complex.mp4

01:44

109 - delattr.mp4

04:21

110 - dict.mp4

02:40

111 - divmod.mp4

02:34

112 - enumerate.mp4

03:31

113 - eval.mp4

01:49

114 - exec.mp4

02:51

115 - filter.mp4

06:54

116 - float.mp4

01:42

117 - format.mp4

01:48

118 - frozenset.mp4

02:52

119 - getattr.mp4

03:17

120 - globals.mp4

02:03

121 - hasattr.mp4

03:34

122 - hex.mp4

01:35

123 - id.mp4

02:15

124 - input.mp4

02:40

125 - int.mp4

01:42

126 - isinstance.mp4

02:32

127 - issubclass.mp4

04:58

128 - iter.mp4

02:53

129 - len.mp4

02:33

130 - list.mp4

01:55

131 - locals.mp4

01:45

132 - map.mp4

03:59

133 - max.mp4

01:46

134 - memoryview.mp4

03:48

135 - min.mp4

01:32

136 - next.mp4

02:45

137 - object.mp4

01:41

138 - oct.mp4

01:27

139 - ord.mp4

02:00

140 - pow.mp4

01:55

141 - print.mp4

01:20

142 - range.mp4

02:10

143 - reversed.mp4

02:48

144 - round.mp4

01:56

145 - set.mp4

01:52

146 - setattr.mp4

03:37

147 - slice.mp4

02:41

148 - sorted.mp4

02:41

149 - str.mp4

01:33

150 - sum.mp4

02:09

151 - tuple.mp4

01:43

152 - type.mp4

02:03

153 - zip.mp4

04:15

25 - Python Lambda functions

154 - Lambda function 1.mp4

04:25

155 - Lambda function 2.mp4

03:14

156 - Lambda function 3.mp4

03:10

157 - Lambda function 4.mp4

02:53

158 - Distinction between lambda and def function.mp4

09:15

159 - Lambda function with filter.mp4

06:39

160 - Lambda function with list comprehension.mp4

08:17

161 - Lambda function with ifelse.mp4

05:20

26 - Python Modules

162 - Python module.mp4

03:59

163 - Renaming the module.mp4

05:07

164 - Fromimport.mp4

05:17

165 - Import multiple object.mp4

04:07

166 - Locating path of modules.mp4

03:47

167 - dir builtin function.mp4

05:25

27 - Python Exceptions

168 - Exception vs syntax error.mp4

04:56

169 - Try and Except.mp4

13:17

170 - Raise an exception.mp4

07:28

171 - Assertion in python.mp4

10:06

28 - Python Date

172 - Date and Time.mp4

03:04

173 - Current time.mp4

03:02

174 - Formatted time.mp4

03:49

175 - Sleep time.mp4

05:07

176 - Datetime module.mp4

02:26

177 - Calendar module.mp4

03:06

178 - Prcal method.mp4

04:36

29 - Python Files IO

179 - Python file handling.mp4

09:31

180 - Close.mp4

04:17

181 - Write method.mp4

06:44

182 - Write method 2.mp4

09:39

183 - File using for loop.mp4

04:31

184 - Readlines function.mp4

04:56

185 - Creating a new file.mp4

03:22

186 - File pointer position.mp4

09:00

187 - Python OS module.mp4

03:50

188 - OS module 2.mp4

03:05

30 - Python Assert

189 - Python assert keyword.mp4

12:33

190 - Assertion keyword 2.mp4

04:09

31 - Python List Comprehension

191 - List comprehension.mp4

07:15

192 - List comprehension 2.mp4

04:10

193 - List comprehension example.mp4

03:39

194 - Using condition.mp4

03:47

32 - Python Collection Module

195 - Collection module 1.mp4

05:07

196 - Collection module 2.mp4

03:24

197 - Collection module 3.mp4

04:55

198 - Collection module 4.mp4

01:49

199 - Collection module 5.mp4

04:35

33 - Python Math Module

200 - Math module 1.mp4

02:59

201 - Math module 2.mp4

02:41

202 - Math module 3.mp4

03:08

203 - Math module 4.mp4

03:03

204 - Ceil.mp4

03:46

205 - Value of pi.mp4

01:04

206 - Division concept.mp4

05:48

207 - dir function.mp4

02:01

34 - Python OS module

208 - OS module.mp4

03:59

209 - Get cwd.mp4

02:05

210 - OSerror.mp4

10:22

211 - Popen.mp4

11:13

212 - Close.mp4

03:36

35 - Python Random module

213 - Random module.mp4

03:08

214 - Randint.mp4

04:34

215 - Randrange.mp4

02:46

216 - Choice.mp4

06:46

217 - Shuffle.mp4

02:44

36 - Python Statistics Module

218 - Mean.mp4

05:21

219 - Median.mp4

06:03

220 - Mode.mp4

05:59

37 - Python Arrays

221 - Array 1.mp4

12:44

222 - Array 2.mp4

10:24

223 - Del.mp4

02:59

224 - Array Concatenation.mp4

05:39

38 - Python Decorator

225 - Python decorator.mp4

01:52

226 - Inner function.mp4

06:52

227 - Function return another function.mp4

06:09

39 - Python Generators

228 - Generator.mp4

06:16

229 - yield vs return.mp4

07:05

230 - Generator 2.mp4

05:16

231 - Memory efficient.mp4

11:09

232 - Infinite sequence.mp4

04:32

40 - Python JASON

233 - JASON.mp4

01:37

234 - Straightforward serialization.mp4

10:46

235 - Serialization 2.mp4

01:48

236 - JASON example.mp4

15:33

237 - Tuple into list.mp4

04:04

238 - Loads function.mp4

05:56

41 - Python Multiprocessing

239 - Multiprocessing.mp4

09:20

240 - Multiprocessing example.mp4

16:49

241 - Queue class.mp4

12:37

Description

Python Programming

What You'll Learn?

This course will teach you everything about python programming language.
This course has more than 20 hours of learning so that you can easily understand from basic to advanced concepts in Python programming.
Easy to download software. You just need PC or laptop.
We cover all the topics from statements to loops , sets , tuples ,modules ,files, functions etc.

Who is this for?

This course is for Beginners as well as intermediate.

What You Need to Know?

No programming experience needed.

You just need a internet connection.

You just need a PC or Laptop.

More details

Description
This tutorial provides basic and advanced concept of python.
Our tutorial is designed for beginners and intermediate.
Python is a simple, general purpose and high level programming language.
Our Python tutorial includes all topics of python programming such as installation ,control statements, Strings, Lists,
Tuples, Loops, Dictionary, Modules, Exceptions ,Date and Time ,File I/O, programs etc.
We have more than 200 examples you can get in this course.
This course has 40 sections for better learning.
Python is an easy-to-learn yet powerful and versatile scripting language, which makes it attractive for application Development. Python makes development and debugging fast because no compilationÂ step is included in Python
development ,and the edit-test-debug cycle is very fast.
Because of its straightforward language framework, Python is easier to understand and write code in.
This makes it a fantastic programming language for novices. Additionally, it assists seasoned programmers in writing clearer
and error-free code.
We made course in such a way that you can easily understand every concept of Python with ease.
Python has many third-party libraries that can be used to make its functionally easier.
These libraries cover many domains, for example web development ,scientific computing , data analysis, and more.
Hope you enjoy our course.
Who this course is for:
This course is for Beginners as well as intermediate.

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Im interested in new things. keen to grasp knowledge.i 'm developer with a passion for teaching .my first foray into programming when i was just 16 years old. wanting to build my own space invader game. since then i'have made hundred of websites,appsand games. but most importantly i realised that my greatest passion is teaching. i spend most of time researching how to make learning to code fun.

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