process, i.e. Rolling Wave Planning; Agile Release/Program Increment Planning. Scenario describes one method of how Agile can underpin EVM progress in support of tracking program cost and schedule status

1 CppCon 2021 Lightning talks One year of Meeting C++ online Jens Weller @meetingcpp2 Online events got somehow popular.. ● Meeting C++ online – A C++ User Group that is online – Experimental

However, as with anything else generalization usually sacrifices performance. So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas will soon first. See the package overview for more detail about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release. 1.1 v.0.7.1 (February to xs method of DataFrame. 1.2.2 API Changes to integer indexing One of the potentially riskiest API changes in 0.7.0, but also one of the most important, was a complete review of how integer indexes

However, as with anything else generalization usually sacrifices performance. So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas will soon first. See the package overview for more detail about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release. 1.1 v.0.7.2 (March 16 to xs method of DataFrame. 1.3.2 API Changes to integer indexing One of the potentially riskiest API changes in 0.7.0, but also one of the most important, was a complete review of how integer indexes

However, as with anything else generalization usually sacrifices performance. So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas will soon first. See the package overview for more detail about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release. 1.1 v.0.7.3 (April 12 ....: ’B’ : [’one’, ’one’, ’two’, ’three’, .....: ’two’, ’two’, ’one’, ’three’], .....: ’C’ : np.random.randn(8), ’D’ : np.random.randn(8)}) In [929]: df Out[929]: A B C D 0 foo one -0.541264 2.801614

CONTENTS 1 pandas: powerful Python data analysis toolkit, Release 0.25.3 2 CONTENTS CHAPTER ONE WHATS NEW IN 0.25.2 (OCTOBER 15, 2019) These are the changes in pandas 0.25.2. See release for a installed as part of the Anaconda distribution. However this approach means you will install well over one hundred packages and involves downloading the installer which is a few hundred megabytes in size. xsel Clipboard I/O on linux zlib Compression for msgpack Optional dependencies for parsing HTML One of the following combinations of libraries is needed to use the top-level read_html() function: Changed

However, as with anything else generalization usually sacrifices performance. So if you focus on one feature for your application you may be able to create a faster specialized tool. • pandas is a dependency first. See the package overview for more detail about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release. 1.1 v0.12.0 (July 24 (GH3982, GH3985, GH4028, GH4054) • Series.hist will now take the figure from the current environment if one is not passed • Fixed bug where a 1xN DataFrame would barf on a 1xN mask (GH4071) • Fixed running

displayable text. Part V will introduce some useful external packages that can be easily installed using one of Nim’s package managers. Nim already has a few thousand external packages — some of them may support clone, and do some basic web scraping using async/await. Or create a basic game or a simple GUI with one of the dozen available toolkits. But what if you are not interested in chatting and twittering, and Rumpf. Most explanations and examples should also be valid for other implementations, like the one at https://github.com/nim- works/nimskull. Although the initial pages of this book were written

displayable text. Part V will introduce some useful external packages that can be easily installed using one of Nim’s package managers. Nim already has a few thousand external packages — some of them may support clone, and do some basic web scraping using async/await. Or create a basic game or a simple GUI with one of the dozen available toolkits. But what if you are not interested in chatting and twittering, and Rumpf. Most explanations and examples should also be valid for other implementations, like the one at https://github.com/nim- works/nimskull. Although the initial pages of this book were written

spent about one year clearing the confusions. During the period, from time to time, once I had cleared most confusions on a topic and regained the confidence on explaining that topic, I wrote one blog article encapsulations are made in implementing these types to hide the internal structures of these types. On one hand, the encapsulations bring much convenience to Go programming. On the other hand, the encapsulations not a complicated language. A new Go programmer with right attitudes can master Go programming in one year. Then what are the selling points of Go do you think? Personally, I think the fact that, as